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Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Cloud Concepts
Module 2: Azure Architecture and Services
Module 3: Management and Governance
(344 remaining)
The Microsoft Azure Fundamentals (AZ-900) Course is designed to introduce the foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. This Microsoft Azure Training Course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites required for the Microsoft Azure Fundamentals AZ-900 Course. However, having a basic knowledge of IT architecture can be beneficial for delegates.
The AZ-900 Microsoft Azure Fundamentals Training is an essential introduction to the world of cloud computing. This course provides a comprehensive understanding of Azure's core concepts, making it a relevant choice for individuals and organisations seeking to harness the power of cloud technology.Proficiency in this training is crucial for IT professionals, cloud administrators, and decision-makers in the business world. With the rapid adoption of cloud solutions, having a solid foundation in Azure empowers professionals to efficiently manage cloud resources, reduce costs, and stay competitive in the industry.
This intensive 1-day AZ-900 Microsoft Azure Fundamentals Course equips delegates with the knowledge and skills needed to navigate Microsoft Azure confidently. Delegates will gain insights into Azure services, deployment models, and pricing structures. They will also learn to create and manage Azure resources, making them well-prepared to make informed decisions regarding cloud adoption within their organisations.
Course Objectives:
After completing this Microsoft Azure Training, delegates will be equipped with the knowledge and confidence to leverage Azure effectively. Whether you're an IT Professional, Developer, or Business Leader, this course will enable you to harness the power of Azure for your organisation's benefit.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Secure Azure Solutions with Azure Active Directory
Module 2: Implement Hybrid Identity
Module 3: Deploy Azure AD identity protection
Module 4: Configure Azure AD Privileged Identity Management
Module 5: Design an Enterprise Governance Strategy
Module 6: Implement Perimeter Security
Module 7: Configure Network Security
Module 8: Configure and Manage Host Security
Module 9: Enable Containers Security
Module 10: Deploy and Secure Azure Key Vault
Module 11: Configure Application Security Features
Module 12: Implement Storage Security
Module 13: Configure and Manage SQL Database Security
Module 14: Configure and Manage Azure Monitor
Module 15: Enable and Manage Microsoft Defender for Cloud
Module 16: Configure and Monitor Microsoft Sentinel
(344 remaining)
The Microsoft Azure Security Technologies (AZ-500) Course will delve into securing Azure resources effectively and professionals will learn to manage identity and access, implement platform protection, manage security operations, and secure data and applications in Azure. This Microsoft Azure Training can be beneficial for a wide range of professionals, including:
Delegates should have prior experience in Azure security concepts like identity and access management, data security, and network security. Additionally, a solid understanding of Azure security features such as Azure Active Directory, Azure Key Vault, and Azure Firewall is recommended for the delegates.
This training course on Microsoft Azure Security Technologies is designed to equip IT Security Professionals with the essential knowledge and skills required to implement robust security controls, uphold an organisation's security posture, and identify and address security vulnerabilities in the Microsoft Azure cloud environment. The course addresses the critical need for safeguarding sensitive data and applications in the cloud.
Proficiency in Microsoft Azure Security Technologies is vital for a wide range of professionals, including IT security specialists, system administrators, cloud architects, and cybersecurity analysts. Mastering this subject is important as it empowers them to apply enterprise governance strategies, establish robust identity and access controls, enforce security policies, and secure various components of the Azure platform effectively.
This 4-day Microsoft Azure Security Technologies Course by The Knowledge Academy is specifically designed to empower delegates with the practical knowledge and hands-on skills necessary to excel in the field of Azure security. Delegates will learn how to implement crucial security measures, including role-based access control, Azure AD infrastructure setup, identity protection, network security, host security, container security, and much more.
Course objectives:
By the end of the training, delegates will be well-prepared to apply the best practices outlined in the course content, enhancing their ability to secure Azure-based environments and contribute to the overall cybersecurity posture of their organisations.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Introduction to Azure Virtual Networks
Module 2: Design and Implement Hybrid Networking
Module 3: Design and Implement Azure ExpressRoute
Module 4: Load Balance Non-HTTP(S) Traffic in Azure
Module 5: Load Balance HTTP(S) Traffic in Azure
Module 6: Design and Implement Network Security
Module 7: Design and Implement Private Access to Azure Services
Module 8: Desing and Implement Network Monitoring
(344 remaining)
This Designing and Implementing Microsoft DevOps Solutions AZ-400 Course is designed to introduce professionals to Azure's DevOps solutions. This course can be beneficial for various professionals, including:
To attend this Designing and Implementing Microsoft DevOps Solutions AZ400 Course, a fundamental knowledge of cloud computing, prior experience with creating and managing Azure resources, and a basic understanding of Azure CI/CD pipelines will be helpful for the delegates.
This Designing and Implementing Az-400 Designing and Implementing Microsoft DevOps Solutions Course is a crucial step towards understanding how to implement DevOps practices within the Microsoft Azure ecosystem effectively. It's highly relevant in today's IT landscape, where DevOps plays a critical role in accelerating software delivery, improving collaboration, and ensuring the stability and scalability of cloud-based applications.
Proficiency in this subject is crucial for IT professionals, including Software Developers, System Administrators, and Cloud Architects, who aim to excel in their careers. With the increasing adoption of Microsoft Azure, organisations seek professionals who can efficiently manage DevOps pipelines, automate deployment processes, and enhance software quality. This course empowers individuals to meet these demands head-on, making them indispensable assets to their teams and organisations.
This intensive 4-day Az-400 Designing and Implementing Microsoft DevOps Solutions Training equips delegates with the essential knowledge and practical skills required to excel in Microsoft Azure DevOps. Delegates will learn how to design and implement DevOps solutions seamlessly within Azure, covering key aspects such as CI/CD pipelines, infrastructure as code, and monitoring strategies. Through hands-on labs and real-world scenarios, delegates will gain confidence in implementing best practices and optimising DevOps workflows in Microsoft Azure.
Course Objectives:
After completing this AZ 400 Microsoft Azure DevOps Solutions Course, delegates will have the skills and knowledge needed to excel in designing and implementing DevOps solutions within the Microsoft Azure ecosystem. They'll be well-prepared to contribute to their organisation's success by streamlining development processes, improving software quality, and ensuring efficient Azure deployments.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Configure Azure Active Directory
Module 2: Configure user and group accounts
Module 3: Configure Subscriptions
Module 4: Configure Azure Policy
Module 5: Configure Role-Based Access Control
Module 6: Configure Azure Resources with Tools
Module 7: Use Azure Resource Manager
Module 8: Configure Resources with Azure Resource Manager Templates
Module 9: Configure Virtual Networks
Module 10: Configure Network Security Groups
Module 11: Configure Azure DNS
Module 12: Configure Azure Virtual Network Peering
Module 13: Configure Network Routing and Endpoints
Module 14: Configure Azure Load Balancer
Module 15: Configure Azure Application Gateway
Module 16: Configure Storage Accounts
Module 17: Configure Azure Blob Storage
Module 18: Configure Azure Storage Security
Module 19: Configure Azure Files and Azure File Sync
Module 20: Configure Azure Storage with Tools
Module 21: Configure Virtual Machines
Module 22: Configure Virtual Machine Availability
Module 23: Configure Azure App Service plans
Module 24: Configure Azure App Service
Module 25: Configure Azure Container Instances
Module 26: Configure File and Folder Backups
Module 27: Configure virtual machine backups
Module 28: Configure Azure Monitor
Module 29: Configure Azure Alerts
Module 30: Configure Log Analytics
Module 31: Configure Network Watcher
(344 remaining)
The Microsoft Azure Administrator (AZ104) Course aims to provide professionals with the skill set required to manage and maintain Azure resources and services. This course can be beneficial for a wide range of professionals, including:
For attending this Microsoft Azure Administrator AZ104 Course, the required prerequisites are a basic understanding of the core Azure architecture and services, prior knowledge of Azure management and governance and familiarity with the basic cloud concepts.
The Microsoft Azure Administrator AZ104 Course is a vital component of Microsoft Azure Training. Cloud computing has become the backbone of countless industries. This course introduces participants to Microsoft Azure, one of the leading cloud platforms, highlighting its immense relevance in the modern IT ecosystem.
Proficiency in Microsoft Azure is crucial for IT Professionals, System Administrators, and cloud enthusiasts. In an era where organisations are rapidly transitioning to the cloud, mastering Azure ensures job readiness and career advancement. This course is essential for those aiming to excel in cloud-based roles and those seeking expertise in managing Azure environments.
The Knowledge Academy's 4-day Microsoft Azure Administrator (AZ-104) Course offers a fast-track approach to mastering Azure. This course equips delegates with the knowledge and hands-on skills needed to manage Azure subscriptions effectively. Delegates will learn how to configure virtual networks, handle network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, ensure data backup and sharing, and monitor their Azure solutions.
Course Objectives:
After completing the Microsoft Azure Administrator Course, delegates will possess a comprehensive understanding of Azure administration. They will be equipped to excel in roles related to cloud computing and Azure management, making them valuable assets to organisations navigating the digital transformation.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 2: Use Automated Machine Learning in Azure Machine Learning
Module 3: Create a Regression Model with Azure Machine Learning Designer
Module 4: Create a Classification model with Azure Machine Learning Designer
Module 5: Create a Clustering Model with Azure Machine Learning Designer
Module 6: Analyse Images with Azure AI Vision
Module 7: Classify Images with Azure AI Custom Vision
Module 8: Detect Objects in Images with Azure AI Custom Vision
Module 9: Detect and Analyse Faces with Azure AI Face
Module 10: Read Text with Azure AI Computer Vision
Module 11: Analyse Receipts with Azure AI Document Intelligence
Module 12: Analyse Text with Azure AI Language
Module 13: Recognise and Synthesize Speech with Azure AI Speech
Module 14: Translate Text and speech with Azure AI services
Module 15: Create a Language Model with Azure AI Language
Module 16: Build a Bot with Azure AI Language and Azure AI Bot Service
(344 remaining)
The Microsoft Azure AI Fundamentals AI-900 Training Course is designed for individuals who want to gain a foundational understanding of Artificial Intelligence (AI) concepts and how AI is implemented using Microsoft Azure services. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Microsoft Azure AI Fundamentals AI-900 Training Course. However, a basic knowledge of cloud concepts, general IT knowledge, and also having an interest in AI and Machine Learning would be beneficial for delegates.
This Microsoft Azure Course provides an essential foundation for anyone interested in the world of AI, Machine Learning, and Data Science. By exploring the core concepts and applications of AI within the Microsoft Azure ecosystem, delegates gain valuable insights into a field that is driving innovation and transforming industries worldwide.
Proficiency in Microsoft Azure AI is crucial for professionals across various domains, including Data Scientists, Software Engineers, and Business Analysts. It empowers individuals to harness the potential of AI technologies to solve real-world problems, enhance decision-making processes, and drive business growth. With the increasing demand for AI expertise, mastering Microsoft Azure AI ensures a competitive edge and opens doors to career opportunities in fields such as healthcare, finance, and e-commerce.
In this 1-day Microsoft Azure AI Fundamentals AI-900 Training Course, delegates will gain knowledge about necessary uses of AI (Artificial Intelligence) and the various kinds of workload associated with AI. Delegates will get to know about some fundamental machine learning concepts, and how to utilise the Azure Machine Learning service to design and issue machine learning models. They will become familiar with the features of computer vision workloads on Azure. Our expert trainers who have years of experience in this field, will teach this course.
Course Objectives:
After completing this course, delegates will be equipped with a robust understanding of AI technologies within the Azure ecosystem. Graduates will confidently apply their knowledge to design, implement, and deploy AI solutions, making them invaluable assets to organisations embracing digital transformation.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Design a Data Ingestion Strategy for Machine Learning Projects
Module 2: Design a Machine Learning Model Training Solution
Module 3: Design a Model Deployment Solution
Module 4: Azure Machine Learning Workspace Resources and Assets
Module 5: Developer Tools for Workspace Interaction
Module 6: Make Data Available in Azure Machine Learning
Module 7: Work with Compute Targets in Azure Machine Learning
Module 8: Work with Environments in Azure Machine Learning
Module 9: Classification Model with Automated Machine Learning
Module 10: Track Model Training in Jupyter Notebooks with MLflow
Module 11: Run Training Script as a Command Job in Azure Machine Learning
Module 12: Track Model Training with MLflow in Jobs
Module 13: Run Pipelines in Azure Machine Learning
Module 14: Perform Hyperparameter Tuning with Azure Machine Learning
Module 15: Deploy a Model to a Managed Online Endpoint
Module 16: Deploy a Model to a Batch Endpoint
(344 remaining)
This Designing and Implementing a Data Science Solution on Azure (DP-100) Course is designed to introduce professionals to Azure's Data Science and Machine Learning solutions. This course can be beneficial to a wide range of professionals, including:
For attending this Designing and Implementing a Data Science Solution on Azure DP-100 Course, the required prerequisites are proficiency in one of the programming languages like Python, R, or SQL and a basic knowledge about Machine Learning and Azure Machine Learning.
This Designing and Implementing a Data Science Solution on Azure DP-100 Course plays a vital role in transforming raw data into actionable insights, making it more relevant than ever. As organisations harness the power of data to drive decision-making, this course provides essential knowledge for professionals looking to navigate the dynamic landscape of data science on Microsoft Azure.
Proficiency in Data Science on Microsoft Azure is crucial for professionals in various domains, including Data Analysts, Data Engineers, Machine Learning Engineers, and aspiring Data Scientists. This knowledge empowers them to harness the extensive capabilities of Microsoft Azure, allowing them to make informed decisions, build innovative solutions, and stay competitive in the evolving digital world.
In this 4-day Designing and Implementing a Data Science Solution on Azure DP-100 Training Course, delegates will learn essential skills and knowledge to design and implement data science solutions on Azure. They will gain expertise in data ingestion strategies, model training, model deployment, workspace resources, developer tools environments, and various aspects of Machine Learning and data pipelines. The Knowledge Academy’s highly skilled and professional trainers, with 9+ years of experience teaching Microsoft Courses, will conduct this training.
Course Objectives:
After completing this course, delegates become proficient in designing and implementing data science solutions on Microsoft Azure. They will be armed with comprehensive knowledge and practical skills. Graduates are prepared to tackle real-world data challenges. They can confidently apply their expertise in various domains, enabling businesses to harness the full potential of their data.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Explore Core Data Concepts
Module 2: Explore Data Roles and Services
Module 3: Explore Fundamental Relational Data Concepts
Module 4: Explore Relational Database Services in Azure
Module 5: Explore Azure Storage for Non-Relational Data
Module 6: Explore Fundamentals of Azure Cosmos DB
Module 7: Explore Fundamentals of Large-Scale Data Warehousing
Module 8: Explore Fundamentals of Real-Time Analytics
Module 9: Explore Fundamentals of Data Visualisation
(344 remaining)
The Microsoft Azure Data Fundamentals DP-900 Course is designed for individuals who want to gain a foundational understanding of data-related concepts and services within the Microsoft Azure cloud platform. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Microsoft Azure Data Fundamentals DP-900 Course. However, some basic awareness of computing and internet concepts will be beneficial for delegates.
Microsoft Azure Data Fundamentals DP900 is an essential component of Microsoft Azure Training and it offers a foundational understanding of data-related concepts within the Azure ecosystem. In the era of data-driven decision-making, this course is pivotal in equipping professionals with the knowledge required to harness the power of data within Azure's cloud platform.
Proficiency in Microsoft Azure Data Fundamentals is crucial for professionals working in data management, analytics, and cloud computing. Data Engineers, Data Analysts, and anyone seeking a career in cloud-based data services should aim to master this course. A strong grasp of Azure Data Fundamentals is the key to unlocking a world of opportunities in data-driven industries.
This 1-day Microsoft Azure Data Fundamentals DP-900 Course provides delegates with a comprehensive understanding of Azure data services, including data storage, processing, and analytics. Delegates will learn how to manage, analyse, and visualize data, making them more adept at handling the data aspects of Azure. It equips learners with practical skills and knowledge, enabling them to work efficiently with Azure's data services.
Course Objectives:
After completing the Microsoft Azure Data Fundamentals DP900 Course, delegates will be equipped to leverage Azure's powerful data services efficiently. They will have the skills to design data solutions, analyse data, and make data-driven decisions, making them valuable assets in a wide range of industries. Stay ahead in the competitive world of data-driven decision-making with our Microsoft Azure Courses and take advantage of the Microsoft Azure Online Training option to learn at your own pace.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Azure Virtual Desktop Architecture
Module 2: Design the Azure Virtual Desktop Architecture
Module 3: Design for User Identities and Profiles
Module 4: Implement and manage networking for Azure Virtual Desktop
Module 5: Implement and Manage Storage for Azure Virtual Desktop
Module 6: Create and Configure Host Pools and Session Hosts for Azure Virtual Desktop
Module 7: Create and Manage Session Host Image for Azure Virtual Desktop
Module 8: Manage Access for Azure Virtual Desktop
Module 9: Manage Security for Azure Virtual Desktop
Module 10: Implement and Manage FSLogix
Module 11: Configure user experience settings
Module 12: Install and Configure Apps on a Session Host
Module 13: Plan for Disaster Recovery
Module 14: Automate Azure Virtual Desktop Management Tasks
Module 15: Monitor and Manage Performance and Health
(344 remaining)
The Configuring and Operating Microsoft Azure Virtual Desktop AZ-140 Training Course is designed for individuals who want to learn how to configure and operate virtual desktop environments using Microsoft Azure Virtual Desktop (formerly known as Windows Virtual Desktop). This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for attending this Configuring and Operating Microsoft Azure Virtual Desktop AZ-140 Course. However, familiarity with Azure services, Microsoft 365, and virtualisation technologies can be beneficial for delegates.
Microsoft Azure Virtual Desktop is a powerful cloud-based solution offered by Microsoft that revolutionises the way organisations approach desktop virtualisation. It provides businesses with the flexibility to deploy and manage virtual desktops and applications securely from the Azure cloud. This course delves into the complexities of configuring and operating Microsoft Azure Virtual Desktop, offering delegates a deeper understanding of cloud-based virtual desktop solutions. Given the increasing demand for remote work solutions, mastering this course becomes not just relevant but essential in today's tech landscape.Proficiency in Configuring and Operating Microsoft Azure Virtual Desktop is crucial for IT Professionals, Cloud Administrators, and System Architects, as it helps companies scale their computing resources, enhance remote work capabilities, and streamline IT management. Those who aim to advance their careers in Microsoft Azure or enhance their cloud expertise will benefit significantly from this Configuring and Operating Microsoft Azure Virtual Desktop AZ140 Course.
This 4-day Configuring and Operating Microsoft Azure Virtual Desktop AZ-140 Training covers all the essential topics by which delegates will become fully familiar with Microsoft Azure Virtual Desktop. During this training, delegates will learn to implement an Azure Virtual Desktop infrastructure about Azure Virtual Desktop architecture, and more. Our highly experienced trainers with 10+ years of experience in teaching will conduct this training.
Course Objectives:
After completing this course, delegates will be well-prepared to harness the power of Azure Virtual Desktop for their organisations. They will possess the skills needed to set up, configure, and manage secure and scalable virtual desktop solutions, making them invaluable assets in the realm of Microsoft Azure.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Introduction to AI on Azure
Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.
Lessons
After completing this module, students will be able to:
Module 2: Developing AI Apps with Cognitive Services
Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.
Lessons
Lab: Get Started with Cognitive Services
Lab: Manage Cognitive Services Security
Lab: Monitor Cognitive Services
Lab: Use a Cognitive Services Container
After completing this module, students will be able to:
Module 3: Getting Started with Natural Language Processing
Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.
Lessons
Lab: Translate Text
Lab: Analyze Text
After completing this module, students will be able to:
Module 4: Building Speech-Enabled Applications
Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.
Lessons
Lab: Recognize and Synthesize Speech
Lab: Translate Speech
After completing this module, students will be able to:
Module 5: Creating Language Understanding Solutions
To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.
Lessons
Lab: Create a Language Understanding Client Application
Lab: Create a Language Understanding App
Lab: Use the Speech and Language Understanding Services
After completing this module, students will be able to:
Module 6: Building a QnA Solution
One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.
Lessons
Lab: Create a QnA Solution
After completing this module, students will be able to:
Module 7: Conversational AI and the Azure Bot Service
Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.
Lessons
Lab: Create a Bot with the Bot Framework SDK
Lab: Create a Bot with Bot Framework Composer
After completing this module, students will be able to:
Module 8: Getting Started with Computer Vision
Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.
Lessons
Lab: Analyze Video
Lab: Analyze Images with Computer Vision
After completing this module, students will be able to:
Module 9: Developing Custom Vision Solutions
While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.
Lessons
Lab: Classify Images with Custom Vision
Lab: Detect Objects in Images with Custom Vision
After completing this module, students will be able to:
Module 10: Detecting, Analyzing, and Recognizing Faces
Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.
Lessons
Lab: Detect, Analyze, and Recognize Faces
After completing this module, students will be able to:
Module 11: Reading Text in Images and Documents
Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.
Lessons
Lab: Read Text in Images
Lab: Extract Data from Forms
After completing this module, students will be able to:
Module 12: Creating a Knowledge Mining Solution
Many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.
Lessons
Lab: Create a Custom Skill for Azure Cognitive Search
Lab: Create an Azure Cognitive Search solution
Lab: Create a Knowledge Store with Azure Cognitive Search
After completing this module, students will be able to:
(344 remaining)
This Designing and Implementing a Microsoft Azure AI Solution (AI-102) Course aims to equip the delegates with necessary knowledge and skills to use Azure services to create AI solutions. This course can be beneficial for a wide range of professionals, including:
For attending the Designing and Implementing a Microsoft Azure AI Solution AI102 Course, delegates should have a basic knowledge of programming languages like Python, C#, or JavaScript, and prior knowledge of Azure AI Services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services. Being familiar with programming semantics like REST and JSON can also be beneficial for delegates.
Mastering Microsoft Azure AI solutions is indispensable. This course, part of our Microsoft Azure Training, delves into the heart of AI implementation, focusing on Azure's cutting-edge tools and techniques. Delegates explore the intricacies of AI102 through comprehensive modules, ensuring a deep understanding of designing and implementing AI solutions within the Azure ecosystem.
Proficiency in Microsoft Azure AI is pivotal for professionals aiming to stay ahead in the competitive tech sphere. Engineers, Developers, and Data Scientists keen on advancing their careers should consider pursuing this course. With Azure AI becoming the bedrock of modern applications, mastering it is essential for anyone involved in AI development and deployment. This course caters to this niche, enabling professionals to elevate their skills and stay relevant.
This intensive 4-day Designing and implementing a Microsoft Azure AI Solution AI102 Course equips delegates with hands-on expertise in designing and deploying AI solutions using Azure technologies. Through interactive sessions and real-world case studies, delegates gain in-depth knowledge of Azure's AI capabilities. Practical exercises, guided by experienced instructors, ensure delegates can immediately apply their skills to real projects. This immersive learning experience ensures that delegates leave with confidence, ready to harness Azure's AI potential.
Course Objectives:
After completing this Microsoft Azure Online Course, delegates emerge as skilled AI professionals ready to tackle real-world challenges. They possess the ability to design and implement robust AI solutions using Microsoft Azure's powerful tools. Armed with comprehensive knowledge and practical skills, graduates can seamlessly integrate AI capabilities into diverse applications, ensuring they are at the forefront of innovation.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Prepare to Maintain SQL Databases on Azure
Module 2: Deploy IaaS Solutions with Azure SQL
Module 3: Deploy PaaS Solutions with Azure SQL
Module 4: Evaluate Strategies for Migrating to Azure SQL
Module 5: Migrate SQL Server Workloads to Azure SQL Database
Module 6: Migrate SQL Workloads to Azure Managed Instances
Module 7: Configure Database Authentication and Authorisation
Module 8: Protect Data In-Transit and At Rest
Module 9: Implement Compliance Controls for Sensitive Data
Module 10: Describe Performance Monitoring
Module 11: Configure SQL Server Resources for Optimal Performance
Module 12: Configure Databases for Optimal Performance
Module 13: Explore Query Performance Optimisation
Module 14: Evaluate Performance Improvements
Module 15: Explore Performance-Based Design
Module 16: Automate Deployment of Database Resources
Module 17: Create and Manage SQL Agent Jobs
Module 18: Manage Azure PaaS Tasks Using Automation
Module 19: Describe High Availability and Disaster Recovery Strategies
Module 20: Explore IaaS and PaaS Solutions for High Availability and Disaster Recovery
Module 21: Back Up and Restore Databases
(344 remaining)
The Administering Microsoft Azure SQL Solutions DP-300 Course delves into the design aspects of Azure solutions. It informs professionals about Azure best practices, patterns, and design considerations for ensuring optimal cloud architecture. This Microsoft Azure Training can be beneficial for a wide range of professionals, including:
The required prerequisites for attending the Administering Microsoft Azure SQL Solutions DP300 Course include having experience with managing Azure SQL Database resources, familiarity with deploying and managing Azure SQL Managed Instance and troubleshooting Azure SQL, and Database and automating Azure SQL Database administration.
The Administering Microsoft Azure SQL Solutions DP300 focuses on database administration in the cloud. With the increasing importance of cloud-based data management, this course is vital for IT professionals. It covers Microsoft Azure's SQL Solutions, equipping learners with the skills to manage databases effectively in a cloud environment.
Proficiency in Administering Microsoft Azure SQL Solutions DP300 is critical for IT Professionals, Database Administrators, and Developers. In-depth knowledge of Microsoft Azure SQL Solutions is essential for improving system performance, optimising resources, and ensuring data security. Professionals in roles like Database Administrators, Data Engineers, and Cloud Architects should aim to master this subject to unlock career opportunities in the realm of Microsoft Azure.
This intensive 4-day Administering Microsoft Azure SQL Solutions DP-300 Course offers delegates a fast track to mastering the essentials of administering SQL databases in the Azure environment. Through hands-on experience and expert guidance, delegates will gain in-depth knowledge of Azure SQL Solutions, including provisioning, configuring, securing, and monitoring databases. The course provides practical insights to optimise database performance, reduce operational costs, and ensure data reliability.
Course Objectives:
After completing this course, delegates will be equipped with the knowledge and skills to confidently administer SQL databases in the Microsoft Azure cloud. This expertise is invaluable in today's data-centric IT landscape, enabling professionals to enhance their career prospects and contribute effectively to their organisations.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Explore Azure for SAP Workloads
Module 2: Discover Common Terms and Meanings for SAP on Azure
Module 3: Identify SAP-Certified Configurations
Module 4: Examine SAP NetWeaver with AnyDB on Azure Virtual Machines
Module 5: Examine SAP S/4HANA on Azure Virtual Machines
Module 6: Explore Azure for SAP Compute
Module 7: Explore Azure for SAP Networking
Module 8: Explore Azure for SAP Storage
Module 9: Explore Azure for SAP Databases
Module 10: Explore Identity Services for SAP on Azure
Module 11: Explore Remote Management for SAP on Azure
Module 12: Explore Governance and Manageability for SAP on Azure
Module 13: Deploy Single-Instance Implementations of SAP on Azure
Module 14: Implement High Availability in SAP NetWeaver with AnyDB on Azure Virtual Machines
Module 15: Implement High Availability for SAP Workloads in Azure
Module 16: Implement Disaster Recovery for SAP Workloads in Azure
Module 17: Perform Backups and Restores for SAP Workloads on Azure
Module 18: Use the Planning and Deployment Checklist for SAP Workloads on Azure
Module 19: Explore Migration Options for SAP on Azure
Module 20: Migrate Very Large Databases (VLDB) to Azure for SAP
Module 21: Explore Monitoring Requirements of Azure for SAP Workloads
Module 22: Configure the Azure Enhanced Monitoring Extension for SAP
Module 23: Explore Licensing, Pricing, and Support for SAP on Azure Virtual Machines
(344 remaining)
This Planning and Administering Microsoft Azure for SAP Workloads (AZ-120) Course is designed to impart knowledge and skills to IT professionals about the planning, deployment, and administration of SAP solutions on Microsoft Azure. This Microsoft Azure Training Course can be beneficial to a wide range of professionals, including:
The required prerequisites for attending the Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course are proficiency with SAP HANA, S/4HANA, SAP NetWeaver, SAP BW/4HANA, OS servers for SAP applications and databases, and Azure portal, Azure Marketplace, and Azure Resource Manager templates. Prior experience with virtualisation, cloud infrastructure, storage structures, high availability design, and disaster recovery design can also be beneicial for the delegates.
The Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course is designed to equip professionals with the expertise required to integrate SAP workloads into the Azure ecosystem seamlessly. This course provides in-depth knowledge and hands-on experience, ensuring that SAP systems run efficiently in a Microsoft Azure environment.
Proficiency in planning and administering Microsoft Azure for SAP workloads is imperative in the modern business landscape. IT Professionals, SAP Administrators, and Cloud Architects need to master this subject to harness the full potential of Azure for running SAP workloads. The course empowers them with the skills to enhance SAP performance, reduce costs, and ensure high availability, making it a must for those committed to optimising enterprise operations.
This intensive 4-day Microsoft Azure Training Course immerses delegates in the intricacies of Microsoft Azure for SAP workloads. Delegates will gain hands-on experience in planning, deploying, and administering SAP solutions in an Azure environment. They will learn to optimise resources, improve security, and ensure high availability for SAP workloads. Through practical exercises and expert guidance, delegates will acquire the confidence and expertise to design and manage SAP systems effectively in Azure.
Course Objectives:
After completing this Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course, delegates will be equipped to design, deploy, and manage SAP systems efficiently, benefiting from increased performance, cost savings, and enhanced security. As part of their Microsoft Azure Online Course journey, delegates will be better positioned to drive business innovation and maintain the reliability of critical SAP workloads within the Azure ecosystem.
Online Instructor-led (5 days)
Classroom (5 days)
Online Self-paced (40 hours)
Module 1: Explore Azure App Service
Module 2: Configure Web App Settings
Module 3: Scale Apps in Azure App Service
Module 4: Explore Azure App Service Deployment Slots
Module 5: Explore Azure Functions
Module 6: Develop Azure Functions
Module 7: Explore Azure Blob Storage
Module 8: Manage the Azure Blob Storage lifecycle
Module 9: Work with Azure Blob Storage
Module 10: Explore Azure Cosmos DB
Module 11: Work with Azure Cosmos DB
Module 12: Manage Container Images in Azure Container Registry
Module 13: Run Container Images in Azure Container Instances
Module 14: Implement Azure Container Apps
Module 15: Explore the Microsoft Identity Platform
Module 16: Implement Authentication by Using the Microsoft Authentication Library
Module 17: Implement Shared Access Signatures
Module 18: Explore Microsoft Graph
Module 19: Implement Azure Key Vault
Module 20: Implement Managed Identities
Module 21: Implement Azure App Configuration
Module 22: Explore API Management
Module 23: Explore Azure Event Grid
Module 24: Explore Azure Event Hubs
Module 25: Discover Azure Message Queues
Module 26: Monitor App Performance
Module 27: Develop for Azure Cache for Redis
Module 28: Develop for Storage on CDNs
(344 remaining)
The Developing Solutions for Microsoft Azure (AZ-204) Course focuses on aspects such as Azure development, solution design, storage solutions, VM configurations, Azure networking, managing security, identity solutions, application services, API integration, and much more. This course can be beneficial to a wide range of professionals, including:
Delegates must be familiar with Azure DevOps, carry prior experience with Azure Programming languages, and be proficient in the PowerShell command-line interface to navigate through this course easily.
The Developing Solutions for Microsoft Azure AZ204 Course equips delegates with essential knowledge and skills. With the ever-growing importance of cloud computing and the prominence of Microsoft Azure, this training provides a solid foundation for anyone looking to excel in this field.
Proficiency in Developing Solutions for Microsoft Azure AZ204 is crucial for IT professionals, Developers, and Cloud Architects. As the demand for cloud-based solutions and services continues to surge, mastering this subject ensures a competitive edge and opens doors to various career opportunities.
This intensive 5-day training empowers delegates with practical hands-on experience, equipping them to create robust solutions on Microsoft Azure. By delving into real-world scenarios and best practices, delegates gain a deeper understanding of Azure's capabilities. This training includes comprehensive coverage of key concepts and practical exercises, making it an invaluable resource for anyone pursuing Microsoft Azure Training.
Course Objectives:
After completing this Microsoft Azure Course, delegates will be well-prepared to tackle various cloud-related challenges and demonstrate their competence in Microsoft Azure. This knowledge is not only an asset to individual career growth but also invaluable for organisations seeking to harness the full potential of Microsoft Azure.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Design Governance
Module 2: Design an Azure Compute Solution
Module 3: Design a Data Storage Solution for Non-Relational Data
Module 4: Design a Data Storage Solution for Relational Data
Module 5: Design Data Integration
Module 6: Design an Application Architecture
Module 7: Design Authentication and Authorisation Solutions
Module 8: Design a Solution to Log and Monitor Azure Resources
Module 9: Design Network Solutions
Module 10: Design a Solution for Backup and Disaster Recovery
Module 11: Design Migrations
Module 12: Build Great Solutions with the Microsoft Azure Well-Architected Framework
Module 13: Accelerate Cloud Adoption with the Microsoft Cloud Adoption Framework for Azure
(344 remaining)
The Designing Microsoft Azure Infrastructure Solutions AZ-305 Training Cours is designed for individuals who want to learn how to design and implement solutions for Microsoft Azure infrastructure services. This Microsoft Azure Training Course can be beneficial to a wide range of professionals, including:
The prerequisites for attending the Designing Microsoft Azure Infrastructure Solutions AZ305 Training Course include having prior experience in deploying or administering Azure resources and a strong conceptual understanding of the Azure Active Directory, Azure compute technologies such as VMs, containers and serverless solutions, and Azure virtual networking to include load balancers.
Organisations worldwide are increasingly relying on Microsoft Azure for their cloud infrastructure needs. This course offers a comprehensive understanding of the topic, helping you harness the power of Azure to meet evolving business demands and stay competitive in the industry.
Proficiency in Microsoft Azure is essential for IT Professionals, Cloud Architects, and Administrators who aspire to master the art of creating robust, scalable, and efficient cloud infrastructure solutions. With cloud adoption growing rapidly, Azure expertise is highly sought after, making it imperative for IT professionals to stay ahead in the game.
This 4-day Designing Microsoft Azure Infrastructure Solutions AZ-305 Course is designed to empower delegates with the knowledge and skills needed to plan, design, and implement Azure solutions effectively. Through a combination of expert-led sessions and hands-on exercises, delegates will gain a deep understanding of Azure's capabilities, ensuring they can design infrastructure solutions that align with business objectives and security best practices.
Course Objectives:
After completing this Designing Microsoft Azure Infrastructure Solutions AZ-305 Course, you will be equipped with the knowledge and skills needed to excel in the world of cloud computing. With your newly acquired expertise, you can confidently design and implement Azure solutions, while adding value to your organisation.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Introduction to Data Engineering on Azure
Module 2: Introduction to Azure Data Lake Storage Gen2
Module 3: Introduction to Azure Synapse Analytics
Module 4: Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake
Module 5: Use Azure Synapse Serverless SQL Pools to Transform Data in a Data Lake
Module 6: Create a Lake Database in Azure Synapse Analytics
Module 7: Analyse Data with Apache Spark in Azure Synapse Analytics
Module 8: Transform Data with Spark in Azure Synapse Analytics
Module 9: Use Delta Lake in Azure Synapse Analytics
Module 10: Analyse Data in a Relational Data Warehouse
Module 11: Load Data into a Relational Data Warehouse
Module 12: Build a Data Pipeline in Azure Synapse Analytics
Module 13: Use Spark Notebooks in an Azure Synapse Pipeline
Module 14: Plan Hybrid Transactional and Analytical Processing Using Azure Synapse Analytics
Module 15: Implement Azure Synapse Link with Azure Cosmos DB
Module 16: Implement Azure Synapse Link for SQL
Module 17: Get Started with Azure Stream Analytics
Module 18: Ingest Streaming Data Using Azure Stream Analytics and Azure Synapse Analytics
Module 19: Visualize Real-Time Data with Azure Stream Analytics and Power BI
Module 20: Introduction to Microsoft Purview
Module 21: Integrate Microsoft Purview and Azure Synapse Analytics
Module 22: Explore Azure Databricks
Module 23: Use Apache Spark in Azure Databricks
Module 24: Run Azure Databricks Notebooks with Azure Data Factory
(344 remaining)
The Data Engineering on Microsoft Azure DP-203 Training Course is designed for individuals who want to learn how to design and implement data solutions using Microsoft Azure's data engineering services and tools. This Microsoft Training Course can be beneficial to a wide range of professionals, including:
The required prerequisites for attending the Data Engineering on Microsoft Azure DP203 Training Course are to have a knowledge of cloud computing with core data concepts and professional experience with data solutions necessary and also completing AZ-900 Azure Fundamentals and DP-900 Microsoft Azure Data Fundamentals would be beneficial for the delegates.
This Data Engineering on Microsoft Azure DP-203 Course provides a comprehensive understanding of this vital discipline. With an emphasis on the power of Microsoft Azure, this course equips professionals with the knowledge and skills necessary to harness, process, and manage data effectively. As data becomes increasingly central to decision-making across various industries, this course serves as a gateway to harness the potential of Azure for Data Engineering solutions.
Proficiency in Data Engineering, especially within the Microsoft Azure environment, is vital for professionals seeking to excel in the fields of Data Analytics, Data Science, and Cloud Computing. This course is especially beneficial for Data Engineers, Data Analysts, Cloud Architects, and anyone looking to optimise data workflows and drive insights from massive datasets.
This intensive 4-day Data Engineering on Microsoft Azure DP-203 Course offers a fast track to expertise in Data Engineering. Delegates will gain hands-on experience with Azure tools and techniques to design and implement data storage, data processing, and data security solutions. Through instructor-led training and practical exercises, delegates will build a robust foundation in Data Engineering, ensuring they can design and maintain data pipelines.
Course Objectives:
After completing this Data Engineering on Microsoft Azure DP-203 Course, delegates will gain the practical skills and knowledge to harness the power of Microsoft Azure for effective Data Engineering solutions. They will have the confidence to design, implement, and manage data pipelines, providing valuable contributions to their organisations.
Online Instructor-led (5 days)
Classroom (5 days)
Online Self-paced (40 hours)
Module 1: Review Windows PowerShell
Module 2: Command Syntax in Windows PowerShell
Module 3: Commands and Get-Help in Windows PowerShell
Module 4: Active Directory Domain Services using PowerShell cmdlets
Module 5: Network Service Settings for Windows Devices Using PowerShell cmdlets
Module 6: Windows Server Settings Using PowerShell Cmdlets
Module 7: Settings for a Local Windows Machine Using PowerShell cmdlets
Module 8: Windows PowerShell Pipeline
Module 9: Select, Sort, and Measure Objects Using the Pipeline
Module 10: Filter Objects Out of the Pipeline
Module 11: Enumerate Objects in the Pipeline
Module 12: Send and Pass Data as Output from the Pipeline
Module 13: Pass Pipeline Objects
Module 14: Connect with Data Stores Using PowerShell Providers
Module 15: Use PowerShell Drives in PowerShell
Module 16: Review CIM and WMI
Module 17: Query Configuration Information by Using CIM and WMI
Module 18: Query and Manipulate Repository Objects by Using CIM and WMI Methods
Module 19: Manage Variables in Windows PowerShell Scripts
Module 20: Work with Arrays and Hash Tables in Windows PowerShell Scripts
Module 21: Create and Run Scripts by Using Windows PowerShell
Module 22: Work with Scripting Constructs in Windows PowerShell
Module 23: Import Data in Different Formats for Use in Scripts by Using Windows PowerShell cmdlets
Module 24: Use Methods to Accept User Inputs in Windows PowerShell Scripts
Module 25: Troubleshoot Scripts and Handle Errors in Windows PowerShell
Module 26: Use Functions and Modules in Windows PowerShell Scripts
Module 27: Manage Single and Multiple Computers by Using Windows PowerShell Remoting
Module 28: Use Advanced Windows PowerShell Remoting Techniques
Module 29: Persistent Connections to Remote Computers by Using Windows PowerShell Sessions
Module 30: Review Azure PowerShell Module
Module 31: Review the Features and Tools for Azure Cloud Shell
Module 32: Manage Azure Resources with Windows PowerShell
Module 33: Manage Users, Groups, and Licenses in Azure AD by Using Windows PowerShell
Module 34: Manage Exchange Online by Using Windows PowerShell
Module 35: Manage SharePoint Online by Using Windows PowerShell
Module 36: Manage Microsoft Teams by Using Windows PowerShell
Module 37: Create and Manage Background Jobs Using Windows PowerShell
Module 38: Create and Manage Scheduled Jobs Using Windows PowerShell
(344 remaining)
This Automating Administration with PowerShell AZ-040 Course is designed for individuals who want to develop expertise in automating administrative tasks and managing Microsoft Azure resources using PowerShell scripting. This Microsoft Azure Training Course can be beneficial for a wide range of professionals, including:
Delegates should have prior experience with Windows Networking Technologies and implementation, and experience with Windows Server Administration, Maintenance, and troubleshooting would benefit delegates.
This Automating Administration with PowerShell AZ040 is an essential component of Microsoft Azure Courses. Automation plays a pivotal role in streamlining administrative tasks, and this course addresses this vital need. Delegates will explore the relevance of PowerShell in Azure administration, equipping them with the skills necessary to efficiently manage Azure resources.
Proficiency in PowerShell is crucial for professionals in the Microsoft Azure domain. IT Administrators, Cloud Architects, and Azure enthusiasts should aim to master this subject. The ability to automate routine tasks and manage Azure resources effectively can significantly enhance productivity and reduce operational overhead.
This intensive 5-day Microsoft Azure Online Training provides delegates with a comprehensive understanding of PowerShell's role in Azure administration. Delegates will learn how to script and automate various Azure tasks, resulting in streamlined processes and time savings. By the end of this course, delegates will possess the skills needed to excel in Azure administration.
Course Objectives:
After completing this Automating Administration with PowerShell AZ-040 Course, delegates will gain the knowledge and skills to harness PowerShell for efficient Azure administration. They can immediately apply these skills to their workplace, resulting in increased productivity and better resource management. This course equips professionals with the tools needed to excel in the ever-evolving world of Microsoft Azure.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Get Started with Azure Cosmos DB for NoSQL
Module 2: Plan and Implement Azure Cosmos DB for NoSQL
Module 3: Connect to Azure Cosmos DB for NoSQL with the SDK
Module 4: Access and Manage Data with the Azure Cosmos DB for NoSQL SDKs
Module 5: Execute Queries in Azure Cosmos DB for NoSQL
Module 6: Define and Implement an Indexing Strategy for Azure Cosmos DB for NoSQL
Module 7: Integrate Azure Cosmos DB for NoSQL with Azure Services
Module 8: Implement a Data Modeling and Partitioning Strategy for Azure Cosmos DB for NoSQL
Module 9: Design and Implement a Replication Strategy for Azure Cosmos DB for NoSQL
Module 10: Optimise Query and Operation Performance in Azure Cosmos DB for NoSQL
Module 11: Monitor and Troubleshoot an Azure Cosmos DB for NoSQL Solution
Module 12: Manage an Azure Cosmos DB for NoSQL Solution Using DevOps Practices
Module 13: Create Server-Side Programming Constructs in Azure Cosmos DB for NoSQL
(344 remaining)
This Designing and Implementing CloudNative Applications Using Microsoft Azure Cosmos DB DP420 Course is designed for professionals who work in Cloud Application Development and Database Administration, and those looking to control Azure Cosmos DB for building scalable, high-performance applications. This Microsoft Training Course can be beneficial for the following professionals:
Delegates should have prior knowledge of Microsoft Azure, the ability to navigate the portal, and experience writing in Azure-supported language at an intermediate level to attend this Designing and Implementing CloudNative Applications Using Microsoft Azure Cosmos DB DP420 Course. The ability to write code to connect and perform operations on SQL or NoSQL database product can also be beneficial for the delegates.
The Designing and Implementing CloudNative Applications Using Microsoft Azure Cosmos DB DP420 Course emerges as a critical component of Microsoft Azure. With cloud-native applications becoming increasingly prevalent, this training equips individuals with the knowledge and skills necessary to excel in the ever-evolving landscape of cloud technology.
Proficiency in this subject is vital for Cloud Architects, Developers, and Database Administrators who aim to master the art of creating cloud-native applications with Microsoft Azure. As organisations transition towards cloud-native solutions, professionals who can design and implement applications using Azure Cosmos DB are in high demand. This course is indispensable for those wishing to stay competitive and meet the growing needs of the industry.
This intensive 4-day Microsoft Azure Online Course empowers delegates with hands-on experience in designing, building, and deploying cloud-native applications using Microsoft Azure Cosmos DB. Delegates will gain a deep understanding of the Cosmos DB architecture and its integration into cloud-native applications. The training provides practical insights, equipping learners to implement best practices and optimise their applications.
Course Objectives:
After completing this Designing and Implementing CloudNative Applications Using Microsoft Azure Cosmos DB DP--420 Course, 3delegates will gain the knowledge to design and implement cloud-native applications using Azure Cosmos DB. They will possess the expertise needed to address modern cloud-native challenges, making them valuable assets in the realm of cloud computing.
Online Instructor-led (3 days)
Classroom (3 days)
Online Self-paced (24 hours)
Module 1: Introduction to Azure Virtual Networks
Module 2: Design and Implement Hybrid Networking
Module 3: Design and Implement Azure ExpressRoute
Module 4: Load Balance Non-HTTP(S) Traffic in Azure
Module 5: Load Balance HTTP(S) Traffic in Azure
Module 6: Design and Implement Network Security
Module 7: Design and Implement Private Access to Azure Services
Module 8: Design and Implement Network Monitoring
(344 remaining)
This Designing and Implementing Microsoft Azure Networking Solutions AZ-700 Course is designed for individuals who want to develop expertise in designing and implementing networking solutions within the Microsoft Azure cloud environment. This Microsoft Training Course can be beneficial for a wide range of professionals, including:
Delegates must have a solid grasp of on-premises virtualisation technologies and network configurations, including TCP/IP, DNS, VPNs, firewalls, and encryption methods to attend this Designing and Implementing Microsoft Azure Networking Solutions AZ-700 Course. Additionally, a clear understanding of software-defined networking, hybrid network connectivity, resilience, disaster recovery concepts, and virtual network management is required for this course.
The Designing and Implementing Microsoft Azure Networking Solutions AZ700 is a pivotal course that equips IT professionals with essential skills in architecting and managing cloud-based networks. Cloud technology is at the forefront, and Microsoft Azure is a leading platform in this space. This course is highly relevant for professionals seeking to excel in Cloud Networking, ensuring they stay competitive and meet the increasing demand for cloud-based solutions.
Proficiency in Microsoft Azure Networking is vital for IT Professionals, Network Administrators, Cloud Architects, and DevOps Engineers. This subject empowers them to design, implement, and manage network solutions within the Azure environment, which is pivotal in ensuring optimal performance, security, and scalability for businesses leveraging the cloud. Mastering this course is crucial for staying at the forefront of cloud technology and fulfilling the needs of enterprises relying on Microsoft Azure.
This 3-day Microsoft Azure Training Course, AZ700, is designed to provide delegates with a comprehensive understanding of Azure networking concepts and practical implementation skills. Through hands-on labs and expert instruction, delegates will learn to design virtual networks, establish connectivity, and secure their Azure environment. They will also gain insights into optimising network performance and resilience.
Course Objectives:
After completing this Designing and Implementing Microsoft Azure Networking Solutions AZ-700 Training Course, delegates will be well-equipped to architect robust network solutions in Microsoft Azure, enhancing their career prospects and contributing to their organisation's success.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Introduction to AD DS
Module 2: Manage AD DS Domain Controllers and FSMO Roles
Module 3: Implement Group Policy Objects
Module 4: Manage Advanced Features of AD DS
Module 5: Implement Hybrid Identity with Windows Server
Module 6: Deploy and Manage Azure Iaas Active Directory Domain Controllers in Azure
Module 7: Perform Windows Server Secure Administration
Module 8: Describe Windows Server Administration Tools
Module 9: Perform post-installation Configuration of Windows Server
Module 10: Just Enough Administration in Windows Server
Module 11: Administer and Manage Windows Server Iaas Virtual Machine Remotely
Module 12: Manage Hybrid Workloads with Azure Arc
Module 13: Configure and Manage Hyper-V
Module 14: Configure and Manage Hyper-V Virtual Machines
Module 15: Secure Hyper-V Workloads
Module 16: Run Containers on Windows Server
Module 17: Orchestrate Containers on Windows Server Using Kubernetes
Module 18: Plan and Deploy Windows Server Iaas Virtual Machines
Module 19: Customize Windows Server Iaas Virtual Machine Images
Module 20: Automate the Configuration of Windows Server Iaas Virtual Machines
Module 21: Deploy and Manage DHCP
Module 22: Implement Windows Server DNS
Module 23: Implement IP Address Management
Module 24: Implement Remote Access
Module 25: Implement Hybrid Network Infrastructure
Module 26: Implement DNS for Windows Server IaaS VMs
Module 27: Implement Windows Server IaaS VM IP Addressing and Routing
Module 28: Manage Windows Server File Servers
Module 29: Implement Storage Spaces and Storage Spaces Direct
Module 30: Implement Windows Server Data Deduplication
Module 31: Implement Windows Server Iscsi
Module 32: Implement Windows Server Storage Replica
Module 33: Implement a Hybrid File Server Infrastructure
(344 remaining)
The Administering Windows Server Hybrid Core Infrastructure AZ800 course is designed for IT professionals who have experience in managing and maintaining Windows Server environments. Below are some categories of individuals who would find this course particularly useful:
Prerequisites of the Administering Windows Server Hybrid Core Infrastructure AZ800 Training include a solid understanding of basic networking concepts, familiarity with Windows Server administration, and some experience with cloud services like Azure, which would benefit the delegates.
The Administering Windows Server Hybrid Core Infrastructure AZ800 Course is a vital component of Microsoft Azure Training, offering a comprehensive understanding of managing hybrid cloud infrastructures. The seamless integration of on-premises and cloud environments is crucial. This course provides practical insights into achieving this, making it highly relevant in the realm of Microsoft Azure Courses.
Proficiency in administering Windows Server Hybrid Core Infrastructure is essential for IT professionals aiming to master Microsoft Azure. System Administrators, Cloud Architects, and IT Managers should prioritise acquiring these skills. A solid grasp of this subject enables professionals to optimise infrastructure, enhance security, and leverage the full potential of Microsoft Azure services.
This intensive 4-day Administering Windows Server Hybrid Core Infrastructure AZ-800 Course equips delegates with the necessary knowledge and hands-on experience to efficiently manage hybrid infrastructures. Delegates will gain proficiency in Windows Server, Azure Arc, and Azure Stack HCI, enabling them to build a unified, efficient, and secure environment. The practical, real-world focus of the training ensures immediate applicability in the workplace.
Course Objectives:
After completing this course, delegates will be able to take on the challenges of administering Windows Server Hybrid Core Infrastructure in the Microsoft Azure ecosystem. This course marks a significant step in one's learning journey, opening doors to a wide array of courses, including Microsoft Azure Online Course, where professionals can continue their learning and skill development.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Secure Windows Server User Accounts
Module 2: Hardening Windows Server
Module 3: Windows Server Update Management
Module 4: Secure Windows Server DNS
Module 5: Implement Windows Server IaaS VM Network Security
Module 6: Audit the Security of Windows Server IaaS Virtual Machines
Module 7: Manage Azure Updates
Module 8: Create and Implement Application Allow Lists with Adaptive Application Control
Module 9: Configure BitLocker Disk Encryption for Windows IaaS Virtual Machines
Module 10: Implement Change Tracking and File Integrity Monitoring for Windows IaaS VMs
Module 11: Introduction to Cluster Shared Volumes
Module 12: Implement Windows Server Failover Clustering
Module 13: Implement High Availability of Windows Server VMs
Module 14: Implement Windows Server File Server High Availability
Module 15: Implement Scale and High Availability with Windows Server VMs
Module 16: Implement Hyper-V Replica
Module 17: Protect Your On-Premises Infrastructure from Disasters with Azure Site Recovery
Module 18: Implement Hybrid Backup and Recovery with Windows Server IaaS
Module 19: Protect Your Azure Infrastructure with Azure Site Recovery
Module 20: Protect Your Virtual Machines by Using Azure Backup
Module 21: Active Directory Domain Services Migration
Module 23: Migrate Windows Server Roles
Module 24: Migrate On-Premises Windows Server Instances to Azure IaaS Virtual Machines
Module 25: Upgrade and Migrate Windows Server IaaS Virtual Machines
Module 26: Containerise and Migrate ASP.NET Applications to Azure App Service
Module 27: Monitor Windows Server Performance
(344 remaining)
The Configuring Windows Server Hybrid Advanced Services AZ-801 Training is tailored for IT professionals who already have a foundational understanding of Windows Server and Azure Cloud Services and wish to delve into more advanced functionalities. This Microsoft Azure Training can be beneficial for a wide range of professionals, including:
Delegates must have a foundational knowledge of Windows Server administration and a basic understanding of Azure Cloud Services before attending this Configuring Windows Server Hybrid Advanced Services AZ801 Training Course.
The Configuring Windows Server Hybrid Advanced Services (AZ-801) Course is designed to equip professionals with the knowledge and skills needed to bridge the gap between on-premises and cloud environments. This course explores advanced configurations for Windows Server on Microsoft Azure, making it a critical offering in the realm of Microsoft Azure.
Proficiency in configuring Windows Server Hybrid Advanced Services is vital as it empowers IT professionals to seamlessly integrate on-premises and cloud infrastructures, enhancing operational efficiency. This subject is particularly relevant for System Administrators, Cloud Architects, and IT Specialists responsible for managing hybrid environments. By mastering this skill, professionals can bolster their career prospects and remain competitive in the dynamic landscape of Microsoft Azure.
This intensive 4-day Microsoft Azure Online Training provides delegates with hands-on experience in configuring advanced Windows Server services within the Azure environment. Through expert-led instruction and practical labs, delegates will gain the competence to optimise performance, security, and connectivity. The course delves into essential topics such as Azure AD integration, virtual network configurations, and data protection strategies.
Course Objectives:
After completing the Configuring Windows Server Hybrid Advanced Services AZ-801 Course, delegates will emerge with a solid grasp of Microsoft Azure's hybrid capabilities. Professionals can leverage their knowledge to drive efficiency, enhance security, and facilitate innovation within their organisations. This course empowers individuals to meet the ever-evolving demands of modern IT environments.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
Module 1: Explore Azure Data Services for Modern Analytics
Module 2: Understand Concepts of Data Analytics
Module 3: Explore Data Analytics at Scale
Module 4: Introduction to Microsoft Purview
Module 5: Discover Trusted Data Using Microsoft Purview
Module 6: Catalog Data Artifacts by Using Microsoft Purview
Module 7: Manage Power BI Assets by Using Microsoft Purview
Module 8: Integrate Microsoft Purview and Azure Synapse Analytics
Module 9: Introduction to Azure Synapse Analytics
Module 10: Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake
Module 11: Analyze Data with Apache Spark in Azure Synapse Analytics
Module 12: Analyse Data in a Relational Data Warehouse
Module 13: Choose a Power BI Model Framework
Module 14: Understand Scalability in Power BI
Module 15: Create and Manage Scalable Power BI Dataflows
Module 16: Create Power BI Model Relationships
Module 17: Use DAX Time Intelligence Functions in Power BI Desktop Models
Module 18: Create Calculation Groups
Module 19: Enforce Power BI Model Security
Module 20: Use Tools to Optimize Power BI Performance
Module 21: Understand Advanced Data Visualization Concepts
Module 22: Monitor Data in Real-Time with Power BI
Module 23: Create Paginated Reports
Module 24: Provide Governance in a Power BI Environment
Module 25: Facilitate Collaboration and Sharing in Power BI
Module 26: Monitor and Audit Usage
Module 27: Provision Premium Capacity in Power BI
Module 28: Establish a Data Access Infrastructure in Power BI
Module 29: Broaden the Reach of Power BI
Module 30: Automate Power BI Administration
Module 31: Build Reports Using Power BI within Azure Synapse Analytics
Module 32: Design a Power BI Application Lifecycle Management Strategy
Module 33: Create and Manage a Power BI Deployment Pipeline
Module 34: Create and Manage Power BI Assets
(344 remaining)
The Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI DP-500 Course is aimed at professionals who are involved in Data Analysis, Data Engineering, and Business Intelligence. This Microsoft Azure Training Course can be beneficial for a wide range of professionals, including:
Delegates must have a basic understanding of Data Analysis techniques, be familiar with SQL, and also have some experience with Microsoft Azure services to attend this Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI DP500 Course.
This Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI DP-500 Course stands as a beacon of innovation and data-driven decision-making. With the increasing significance of Data Analytics in today's business landscape, this course offers an indispensable understanding of how to harness the power of Microsoft Azure and Power BI for scalable analytics solutions.
Proficiency in this subject is vital for Data Architects, Business Intelligence Professionals, and Data Analysts seeking to master Microsoft Azure Courses. As organisations increasingly rely on data insights to make informed decisions, expertise in designing and implementing enterprise-scale analytics solutions is a critical skill set for those shaping the future of data-driven enterprises.
This 4-day training courseequips delegates with a comprehensive knowledge base, focusing on Azure's capabilities for analytics and integrating Power BI into the mix. Delegates will gain hands-on experience in designing scalable solutions, optimising data performance, and transforming data into actionable insights. The course covers best practices, ensuring that delegates leave with practical skills that can be directly applied to real-world scenarios, making them indispensable assets to their organisations.
Course Objectives:
After completing this Microsoft Azure Online Training, delegates will be able to tackle complex analytics challenges head-on, effectively utilising Microsoft Azure and Power BI. This course paves the way for professionals to excel in the ever-evolving world of data analytics, positioning them as experts in Microsoft Azure and leaders in the industry.
Online Instructor-led (3 days)
Classroom (3 days)
Online Self-paced (24 hours)
Module 1: Troubleshoot Business Continuity with Microsoft Azure
Module 2: Troubleshoot Name Resolution Issues in Microsoft Azure
Module 3: Troubleshoot Cloud and Hybrid Connectivity in Microsoft Azure
Module 4: Troubleshoot Platform-as-a-Service Issues in Microsoft Azure
Module 5: Troubleshoot Authentication and Access Control Issues in Microsoft Azure
Module 6: Troubleshoot Network Security Issues with Microsoft Azure
Module 7: Troubleshoot Routing, Traffic Control, and Load Balancing in Microsoft Azure
Module 8: Troubleshoot Connectivity Issues with Virtual Machines in Microsoft Azure
Module 9: Troubleshoot VPN Gateways in Microsoft Azure
(344 remaining)
The Troubleshooting Microsoft Azure Connectivity AZ-720 Training is geared towards IT professionals who are responsible for managing and maintaining Azure-based network infrastructure. This course can be beneficial to a variety of professionals, including:
Prerequisites required for the Troubleshooting Microsoft Azure Connectivity AZ-720 Training, delegates should have some prior experience with Microsoft Azure and a foundational understanding of networking concepts.
This Troubleshooting Microsoft Azure Connectivity AZ-720 Course is designed to address the critical aspect of ensuring seamless connectivity within the Azure ecosystem. In a world where businesses depend on Azure for critical operations, impeccable connectivity is paramount. This course delves into the intricacies of troubleshooting, making it a crucial component of any Microsoft Azure Training curriculum.
Proficiency in Troubleshooting Microsoft Azure Connectivity is imperative for IT Professionals, Cloud Architects, and Azure aDministrators. In a realm where system downtime and connectivity issues can lead to financial losses and compromised data integrity, mastering this subject is a career-enhancing move. Organisations across the globe value experts who can swiftly resolve Azure connectivity hiccups, reinforcing the significance of this specialised skillset in Microsoft Azure Courses.
In this 3-day Troubleshooting Microsoft Azure Connectivity AZ-720 Training Course, delegates will gain an in-depth knowledge of Troubleshooting Microsoft Azure Connectivity. During this training, delegates will learn about how to troubleshoot virtual network connectivity, name resolution issues, and point-to-site Virtual Private Network connectivity. They will also learn how to troubleshoot backup issues and recovery issues. Our highly professional trainers with years of experience in teaching such courses will conduct this training course.
Course Objectives:
After completing the Troubleshooting Microsoft Azure Connectivity AZ-720 Course, delegates will gain the skills to ensure seamless Microsoft Azure network operations. This opens up opportunities in the ever-expanding field of cloud computing, making them highly sought-after professionals, which causes a tangible impact on their career advancement and earning potential.
Online Instructor-led (2 days)
Classroom (2 days)
Online Self-paced (16 hours)
Module 1: Design Big Data Batch Processing and Interactive Solutions
Module 2: Design Big Data Real-Time Processing Solutions
Module 3: Operatinalise End-to-End Cloud Analytics Solutions
Module 4: PowerShell for Technology Professionals
(344 remaining)
The Microsoft Azure Big Data Analytics Solutions M552241 Course focuses on teaching professionals how to design Big Data Analytics solutions on Microsoft Azure using Azure Data Lake, Azure Data Factory, and Azure Stream Analytics. This course can be beneficial to a variety of professionals, including:
The required prerequisites for Microsoft Azure Big Data Analytics Solutions M552241 include a basic understanding of Microsoft Azure Fundamentals, familiarity with Big Data Analytics concepts, a foundation in Data Mining and Data Modeling, knowledge of databases and SQL commands, proficiency in programming languages like Python or R, and familiarity with data visualisation and reporting tools.
The importance of data analytics and its profound impact on decision-making is significant today, and this course delves into the intricacies of Big Data Analytics within the Azure ecosystem. Azure is the bedrock of modern cloud computing, and proficiency in Big Data Analytics on this platform is essential for harnessing data-driven insights efficiently and cost-effectively.
Proficiency in Microsoft Azure Big Data Analytics is vital in our data-centric world. Data Scientists, Analysts, Cloud Architects, and IT Professionals should aim to master this course to harness Azure's capabilities for Big Data processing. These professionals can unlock the full potential of Azure's powerful Data Analytics solutions.
This intensive 2-day Microsoft Azure Big Data Analytics Solutions M552241 Course equips delegates with the practical skills required to navigate the Azure cloud environment for Big Data Analytics. They will also learn to deploy Machine Learning models and develop a deeper understanding of data security and compliance within the Azure framework. This training empowers delegates to harness the full potential of Azure for data-driven decision-making, enhancing their career prospects and organisational impact.
Course Objectives:
After completing the Microsoft Azure Big Data Analytics Solutions M55224-1 Course, delegates will be equipped with a comprehensive skill set to leverage Azure's Big Data Analytics solutions. They can efficiently process, transform, and analyse vast datasets, enabling data-driven decision-making within their organisations. This course not only enhances career prospects but also empowers professionals to be at the forefront of the data revolution, making them invaluable assets in industries where Data Analytics is a driving force.
Online Instructor-led (4 days)
Classroom (4 days)
Online Self-paced (32 hours)
In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and introduces the Azure portal.
After completing this module, students will be able to:
In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.
After completing this module, students will be able to:
In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrollment process, auto provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.
After completing this module, students will be able to:
In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.
After completing this module, students will be able to:
In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the connection and data transformations for data visualization tools such as Time Series Insights and Power BI.
After completing this module, students will be able to:
In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.
After completing this module, students will be able to:
In this module, students will develop and deploy custom edge modules, and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.
After completing this module, students will be able to:
In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.
After completing this module, students will be able to:
In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.
After completing this module, students will be able to:
In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Microsoft Defender for IoT supports device deployment and IoT Hub integration. Students then use Microsoft Defender for IoT Agents to enhance the security of their solution.
After completing this module, students will be able to:
In this module, students will examine the concepts of an Azure Digital Twins solution and take their first steps toward implementing Azure Digital Twins. Students will begin by investigating the concepts behind the Azure Digital Twins service and an Azure Digital Twins solution, followed by an introduction to the development tools that can be used to build and monitor an Azure Digital Twins solution. Students will then use the development tools to create custom models, build and query an Azure Digital Twins environment graph, ingest IoT device telemetry, and implement business logic and data processing.
After completing this module, students will be able to:
In this module, students will learn how configure and implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.
After completing this module, students will be able to:
(344 remaining)
The Microsoft Azure IoT Developer AZ-220 Course is designed for individuals who want to develop skills in designing, building, and deploying Internet of Things (IoT) solutions using Microsoft Azure's IoT services and tools. This Microsoft Azure Training Course can be beneficial for a wide range of professionals, including:
To attend this Microsoft Azure IoT Developer Training Course, delegates should hold a basic understanding of PaaS, SaaS, and IaaS implementations. We also recommend Microsoft Azure Fundamentals (AZ-900), or equivalent skills.
The Microsoft Azure IoT Developer AZ-220 Course delves into the cutting-edge world of IoT development. In today's rapidly evolving tech landscape, IoT (Internet of Things) is paramount. With its relevance spanning across industries, this course empowers professionals to harness the potential of IoT and become indispensable.
Proficiency in Microsoft Azure IoT Developer AZ220 is vital for professionals in IT, embedded systems, and IoT sectors. This subject is imperative for Software Engineers, IoT Architects, and Cloud Developers aiming to master Microsoft Azure Course offerings. It provides them with the skills to excel in their careers and contribute significantly to their organisations.
This 4-day Microsoft Azure Online Training equips delegates with the knowledge and hands-on experience required to develop IoT solutions on the Azure platform. Delegates will gain practical insights into Azure IoT services and learn to build, deploy, and manage IoT applications efficiently. The training emphasises real-world scenarios, ensuring that professionals are well-prepared for the challenges of IoT development.
Course Objectives:
After completing this Microsoft Azure IoT Developer AZ-220 Course, delegates will be well-equipped to design and implement Azure-based IoT solutions, opening up exciting career opportunities in IoT development. They will also receive a certification of accomplishment, enhancing their credentials in the realm of Microsoft Azure Courses. Stay ahead in the ever-evolving technology landscape with the skills gained through Microsoft Azure Training Courses.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1 - Migrate to Azure SQL DB for MySQL and PostgreSQL
Lessons
Lab: Creating Source OSS Databases
Module 2 - Migrate On-Premises MySQL to Azure SQL DB for MySQL
In this module, delegates will learn about the benefits and process of migrating MySQL workloads to Azure SQL DB.
Lessons
Lab: Migrating MySQL DB Workloads to Azure SQL DB
Module 3 - Migrate On-Premises PostgreSQL to Azure SQL DB for PostgreSQL
In this module, delegates will get an understanding of the benefits and process of migrating PostgreSQL DB workloads to Azure SQL DB
Lessons
Lab: Migrating PostgreSQL DB Workloads to Azure SQL DB
(344 remaining)
This Migrate Open Source Data Workloads to Azure (DP-070) Course is designed to teach professionals how to transition their existing open-source data solutions to Azure. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for the Migrate Open Source Data Workloads to Azure DP070 Course.
The migration of open-source data workloads to cloud platforms is pivotal. This Migrate Open Source Data Workloads to Azure (DP-070) Course delves into this crucial aspect, addressing the pressing need for professionals to understand the intricacies of transferring open-source data workloads to Microsoft Azure. With businesses increasingly relying on cloud solutions, this course emerges as a fundamental pillar in the realm of Microsoft Azure Courses.
Proficiency in migrating open-source data workloads to Azure is indispensable for IT Professionals, Database Administrators, and Cloud Architects. Mastering this skill ensures seamless transitions and optimised performance, making it essential in the job market. Microsoft Azure Training Courses like DP070 empower professionals to stay ahead by equipping them with expertise in this vital domain.
This intensive 1-day training empowers delegates with hands-on experience and in-depth knowledge. Delegates gain a comprehensive understanding of open-source data migration strategies, Azure services, and best practices. Through interactive sessions and real-world scenarios, delegates learn to efficiently migrate diverse data workloads, enhancing their proficiency in this course.
Course Objectives:
After completing the DP070 Microsoft Azure Course, delegates emerge with a profound understanding of open-source data migration techniques. Armed with a certification in Migrate Open Source Data Workloads to Azure, delegates will be well-equipped to navigate the complexities of cloud-based solutions confidently.
Online Instructor-led (1 days)
Classroom (1 days)
Online Self-paced (8 hours)
Module 1: Building Globally Distributed Applications with Cosmos DB
Lessons
Lab: Practice Labs
Module 2: Migrate MongoDB Workloads to Cosmos DB
Lessons
Lab: Practice Labs
Module 3: Migrate Cassandra DB Workloads to Cosmos DB
Lessons
Lab: Practice Labs
(344 remaining)
This Migrate NoSQL Workloads to Azure Cosmos DB (DP060) Course focuses on guiding professionals on how to migrate their existing NoSQL workloads to Azure Cosmos DB. This course can be beneficial to a wide range of professionals, including:
There are no formal prerequisites for the Migrate NoSQL Workloads to Azure Cosmos DB DP060 Course.
The Migrate NoSQL Workloads to Azure Cosmos DB DP060 Course stands as a pivotal topic in Microsoft Azure Training Courses. The need to efficiently manage and migrate NoSQL workloads has become paramount. This course provides crucial insights into the migration of NoSQL databases to Azure Cosmos DB, offering a solution to the ever-growing demands of data management.
Proficiency in this subject is essential for Cloud Architects, Database Administrators, and Developers aiming to master the intricacies of Microsoft Azure. Azure Cosmos DB, as a NoSQL database service, plays a pivotal role in modern application development. By gaining expertise in this course, professionals can significantly enhance their career prospects as they become well-equipped to meet the demands of the ever-evolving cloud and database ecosystem.
This intensive 1-day training is tailored to equip delegates with the knowledge and skills needed to migrate NoSQL workloads to Azure Cosmos DB efficiently. Delegates will delve into best practices, architecture, and hands-on experience, ensuring they can navigate the intricacies of database migration smoothly. With practical insights and real-world scenarios, this course empowers delegates to execute NoSQL workload migrations confidently.
Course Objectives:
After completing this course, delegates will emerge as skilled professionals ready to tackle the intricacies of NoSQL workload migration to Azure Cosmos DB. They'll be well-versed in best practices, equipped with practical experience, and prepared to contribute to the efficiency and success of cloud-based projects, making them sought-after assets in the realm of Microsoft Azure.
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