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Module 1: What is Artificial Intelligence (AI)?
Module 2: Application Areas of AI
Module 3: Artificial Intelligence and Related Fields
Module 4: Foundation of AI – Machine Learning
Module 5: Agents and Environments
Module 6: Concept of Rationality
Module 7: Fuzzy Logic Systems
Module 8: Overview of Robotics
Module 9: Natural Language Processing
Module 10: Neural Networks
(344 remaining)
The Introduction to Artificial Intelligence Course is a comprehensive course designed to equip participants with the foundational knowledge and skills required to understand, adapt, and harness future AI technologies. The following professionals can benefit from this course:
There are no formal prerequisites for Introduction to Artificial Intelligence Course.
Artificial Intelligence (AI) is a group of methodologies in which the core algorithms are implemented in power structures such as fuzzy logic systems, artificial neural networks, colony optimisation, genetic algorithm, particle swarm optimisation, simulated annealing, and evolutionary computing. It is accomplished by analysing how the human brain functions while solving problems and using these outcomes to develop intelligent software and systems. AI is a field that is actively and continuously growing and changing. Attending this training course will help individuals to enhance the skills required to become successful AI professionals. This course will allow individuals to master AI applications, machine learning, natural language processing needed to excel in this domain and kick-start their career in Artificial Intelligence.
In this 1-day Introduction to Artificial Intelligence Training course, delegates will get to know about various functions, features, and uses of Artificial Intelligence. They will learn about different concepts such as machine learning in ANN's, artificial neural networks, Natural Language Processing (NLP), types of agents, agent's terminology, and more. They will understand the crucial role of Artificial Intelligence in various fields like healthcare, business, education, finance, law, and manufacturing. Delegates will also learn about the strength and limitations of machine learning-based AI, machine learning methods, and supervised, unsupervised, and semi-supervised machine learning algorithms, which will help them enhance their skills of working with AI.
This course includes various essential concepts as following:
At the end of this Introduction to Artificial Intelligence Training course, delegates will be able to able to work with fuzzy logic systems and machine learning tools. They can automate grading in the education sector with Artificial Intelligence's help and provide additional support to students with AI tutors. They may also be able to use AI automation within business sectors for repeatable tasks that humans usually handle.
After completing this Introduction to Artificial Intelligence training course, delegates can choose from The Knowledge Academy's wide range of courses from Artificial Intelligence & Machine Learning topic for enhancing their skills in the advancing world of AI.
Module 1: Machine Learning - Introduction
Module 2: Importance of Machine Learning and its Techniques
Module 3: Machine Learning Mathematics
Module 4: Data Pre-Processing
Module 5: Supervised Learning
Module 6: Classification
Module 7: Regression
Module 8: Unsupervised Learning
Module 9: Clustering
Module 10: Deep Learning
(344 remaining)
The Machine Learning Course is an intensive and comprehensive course designed to provide a deep dive into the fundamental concepts and applications of Machine Learning. The following are some professionals who can benefit greatly from this course:
Delegates must have a basic understanding of Python Programming and Statistics.
Embark on an immersive exploration of Machine Learning, a transformative field at the intersection of computer science and artificial intelligence. As the digital landscape evolves, the relevance of Machine Learning in extracting insights from data and powering intelligent systems becomes increasingly vital.
Mastery of Machine Learning is imperative for professionals in data science, software development, and business analytics. Those aspiring to harness the potential of data for informed decision-making should aim to master Machine Learning techniques. The Machine Learning Course is tailored for individuals seeking to elevate their analytical skills and stay ahead in an era driven by data-driven innovations.
The Knowledge Academy's 1-day Machine Learning Course equips delegates with practical knowledge and hands-on experience in deploying Machine Learning algorithms. The training delves into the essentials of data analysis, model building, and predictive analytics, ensuring participants gain a comprehensive understanding of Machine Learning applications. By the end of the course, delegates will be well-versed in leveraging Machine Learning tools to extract meaningful insights and drive informed decision-making.
Course Objectives:
Upon completion, delegates will benefit from enhanced analytical skills and a deep understanding of Machine Learning applications. They will be equipped to apply Machine Learning techniques to real-world scenarios, extracting valuable insights from data and driving informed decision-making in their respective professional domains.
Machine Learning Basics
Introduction to Deep Learning
Artificial Neural Networks
Deep Neural Networks
Linear Algebra
Probability
Autoencoders
Computational Graphs
Monte Carlo Methods
Deep Generative Model
Applications
Libraries and Frameworks
(344 remaining)
This Deep Learning Course aims at equipping individuals with knowledge of Natural Language Processing, Robotics, and even Healthcare. This course will teach Deep Learning algorithms, technologies, and applications providing learners the skills needed to implement and adapt Deep Learning models for different tasks. This course can be beneficial for a wide range of professionals, including:
To attend this Deep Learning Course, delegates should have a basic understanding of Python, Linear Algebra, and Probability.
Deep Learning is a subset of Artificial Intelligence (AI) that focuses on algorithms inspired by the structure and function of the human brain's neural networks. It's pivotal in revolutionising industries like healthcare, finance, and technology by enabling machines to learn from data, recognise patterns, and make intelligent decisions autonomously.
Proficiency in Deep Learning Course is crucial for Data Scientists, AI Engineers, Software Developers, and Researchers. Mastering this field empowers professionals to create innovative image and speech recognition solutions, natural language processing, autonomous vehicles, and predictive analytics. It is essential for those aiming to stay competitive and drive technological advancements across various industries.
This intensive 1-day course equips delegates with fundamental concepts and practical skills in deep learning. Through hands-on workshops and expert-led sessions, delegates comprehensively understand neural networks, convolutional and recurrent neural networks, and their applications. Delegates learn to implement deep learning models, interpret results, and optimise algorithms for diverse real-world scenarios.
Course Objectives:
After completing the course, delegates receive a certification validating their proficiency in deep learning fundamentals. This certification attests to their understanding of neural network concepts, ability to design and implement deep learning models, and skills in utilising these techniques to solve practical problems effectively.
Module 1: Introduction to TensorFlow
Module 2: Artificial Neural Network
Module 3: Activate Functions
Module 4: Deep Learning Techniques
Module 5: Deep Learning Applications
Module 6: Computing Gradients
Module 7: Single-Layer and Multi-Layer Perceptron
(344 remaining)
The Deep Learning with TensorFlow Course is a specialised course focused on advanced Machine Learning techniques using TensorFlow, one of the most widely used open-source libraries for numerical computation and Machine Learning. The following professionals will benefit greatly from this course:
Delegates should have a basic understanding of Python Programming and Machine Learning.
TensorFlow is an open-source software library of Google for implementing the Deep Learning – Artificial Neural Network. It works through layers of nodes to determine the correct outcome. This deep learning with TensorFlow training course will provide the delegate with skills in deep learning techniques using TensorFlow.
The participants will learn the use of Google’s library TensorFlow to solve the various real-world problems. By the completion of this course, the delegate will be able to implement algorithms, build and manage artificial neural networks.
Module 1: Introduction to NLP
Module 2: Text Preprocessing
Module 3: Text Representation
Module 4: Text Classification
Module 5: Advanced NLP Techniques
(344 remaining)
The Natural Language Processing (NLP) Fundamentals with Python Course can be beneficial for a wide range of individuals who are interested in understanding and working with text data. The following are some professionals who can benefit from this course:
Delegates should have a basic knowledge and understanding of Python.
Natural Language Processing (NLP) is the field of artificial intelligence that enables computers to comprehend spoken and written language like humans. It is an enterprise solution that improves employee productivity, simplifies mission-critical business processes, and streamlines business operations. This training aims to provide individuals with knowledge on how to deconstruct human text and voice data to help the computer understand and absorb the text and voice data. This training will equip learners with the algorithms and methods to derive meaningful information from raw data and enable the computer to understand and process human language. Individuals with knowledge of NLP and technical expertise will be able to advance their career opportunities and claim higher pay.
In this 2-day Natural Language Processing (NLP) Fundamentals with Python Training course, delegates will gain comprehensive knowledge of natural language processing and how to use it effectively. While attending this training, they will learn to use the Natural Language Toolkit (NLTK) to pre-process raw text and use NLTK with different Python libraries. They will also learn about text classification, which involves classifying text strings or documents into different categories depending on the string's content. Our highly skilled tutor will conduct this course and help delegates practice with the NLP toolkit and various algorithms.
Course Objectives
After attending this training course, delegates will be able to auto-summarise the text by using machine learning and developing natural language processing software. They will also be able to identify patterns and relationships within the huge amount of text.
Module 1: Introduction to Artificial Intelligence
Module 2: Theoretical Framework
Module 3: Methodology
Module 4: Results – Surveys
Module 5: Results – Interviews
Module 6: Analysis and Discussion
(344 remaining)
The Artificial Intelligence (AI) for Business Managers Course is tailored for individuals working in the Business Analysis field to help them analyse business operations thoroughly and help in strategy development. The following are some professionals for whom this course can be beneficial:
There are no formal prerequisites for this Artificial Intelligence (AI) for Business Managers Course.
Artificial Intelligence (AI) is a collection of techniques inspired by the goal of understanding and executing intelligent behaviour. By attending this Artificial Intelligence (AI) for Project Managers course, delegates will gain an insight into project management fundamentals, SWOT analysis, methodologies, etc. By attending this course, delegates will gain extensive knowledge of how Artificial Intelligence (AI) can be used within the corporate context. This training course will help project managers to add values in separate phases of the project lifecycle. On completion of this course, delegates will learn to build AI Systems and will also learn how to implement AI in their organisation.
Module 1: Introduction to Artificial Intelligence
Module 2: Use of Artificial Intelligence (AI)
Module 3: AI and Its Relevance to Banking
Module 4: AI Applications in the Banking Industry
Module 5: Impact of Artificial Intelligence on Investing
Module 6: AI and Its Impact on Finance Industry
Module 7: Future Evolution of Business Analyst
Module 8: Hybrid Roles for Future Business Analyst
Module 9: How AI Change the Face of Business?
(344 remaining)
There are no prerequisites for this course.
This course is designed for Business Analysts.
Artificial Intelligence (AI) is an area of computer science that focuses on the creation of intelligent machines that work and react like humans.
This Artificial Intelligence (AI) for Business Analysts training is designed to provide knowledge of how AI can help and enhance the skills of business analysts in making significant decisions for business. Delegates will learn the use of Artificial Intelligence (AI) in different fields like banking, finance, and investment and its impact on these.
During this course, delegates will be familiarised with different AI applications including AML pattern detection, Chatbots, Algorithmic Trading, and fraud detection. They will also acquire knowledge of various hybrid roles for future business analysts. On completion of this course, delegates will know how Artificial Intelligence (AI) can improve business processes.
Module 1: Introduction to Artificial Intelligence (AI)
Module 2: Overview of DevOps
Module 3: AI Tools for DevOps Automation
Module 4: Power of AI in DevOps
Module 5: Ways AI is Transforming DevOps
(344 remaining)
The Artificial Intelligence (AI) for DevOps Course is designed to help DevOps professionals for understanding how to incorporate AI into their workflow for improved automation, analytics, operational efficiency, and other areas. The following are some professionals who will benefit significantly with this course:
Artificial Intelligence (AI) has an all-encompassing relationship with DevOps. Automating routine and repeatable actions is a fundamental facet of DevOps to help improve performance and productivity.
Artificial Intelligence reduces the operational complexities found in DevOps due to the highly distributed nature of the toolsets. AI can improve the automation quotient in DevOps by minimising the need for human involvement across processes.
This Artificial Intelligence for DevOps Training course is designed to provide knowledge of how AI is used in DevOps. During this training, delegates will become familiarised with AI and DevOps automation, including the use of AI for quality assurance and control. You will learn how AI impacts DevOps culture in general as well as its uses in delivery and deployment. Post completion of this course, you will be able to apply AI to the DevOps toolchain.
Module 1: Introduction to Artificial Intelligence (AI)
Module 2: Building Blocks of AI
Module 3: AI vs Machine Learning vs Deep Learning
Module 4: How to Train AI?
Module 5: Implementing AI in an Organisation
Module 6: AI Use Cases in Information Management
(344 remaining)
The Artificial Intelligence (AI) for IT Professionals (AI4IT) Course is aimed at educating the Information Technology (IT) professionals about the increasing role and importance of Artificial Intelligence (AI) in IT. This course provides practical insights into AI technologies like Machine Learning, Natural Language Processing (NLP) and Data Analytics. The following are some of the professions that can benefit from this course:
Artificial Intelligence (AI) is the science of creating machines that work intelligently. It is accomplished by analysing how the human brain functions during problem-solving and uses the results as the base of developing intelligent software and systems.
This Artificial Intelligence course for IT Professionals will provide delegates with an in-depth understanding of AI and its applications. Delegates will learn about the building blocks of AI and the differences between AI, machine learning, and deep learning.
In addition, this 1-day course will also provide delegates with knowledge on how to train AI. Delegates will become familiarised with AI use cases in information management and human supervision of AI. They will also learn how to implement AI in an organisation. By the end of this course, you will have learned about various implementation areas for AI including voice recognition, computer vision, neural networks, robotic process automation, and more.
What’s included in this Artificial Intelligence (AI) for IT Professionals (AI4IT) Course?
Module 1: Introduction to Neural Networks
Module 2: Neural Networks Fundamentals
Module 3: Shallow Neural Networks
Module 4: Deep Neural Networks
(344 remaining)
The Neural Networks with Deep Learning Course will provide you a deep understanding of Neural Network Architectures and how they can be leveraged in various applications and industries through Deep Learning techniques. The following are some professionals who can greatly benefit from this course:
There are no formal prerequisites for this Neural Networks with Deep Learning Training, but a basic understanding of the Python programming language would be helpful.
Neural Networks are a set of algorithms designed to identify patterns. These are developed to imitate the human brain. Neural networks translate sensory data through labelling or clustering raw input and machine perception. These networks identify numerical patterns that are stored in vectors. All the real-world data, including text, images, or sound, must be translated into these numerical patterns. Neural networks can be thought of as a clustering and classification layer on top of the data stored and managed.
The Knowledge Academy’s Neural Networks with Deep Learning Training course will provide delegates with an understanding of deep learning and neural networks. Delegates will be familiarised with basic concepts of neural networks such as binary classification, logistic regression, derivatives, and vectorisation.
During this 1-day training course, delegates will be introduced to Python and Jupyter/IPython notebooks. Delegates will learn about shallow neural networks, including vectorised implementation, activation functions, and backpropagation intuition. In addition, delegates will also gain knowledge on the concepts of deep neural networks involving deep L-layer neural network, deep representations, and forward and backward propagation.
Module 1: Introduction to Cognitive Computing
Module 2: Computational Linguistics
Module 3: Cognitive Computing – Practical Applications
Module 4: Introduction to Machine Learning
Module 5: TensorFlow for Implementing Deep Neural Networks
Module 6: Tools and Techniques – Natural Language Processing
(344 remaining)
The Cognitive Computing Course is aimed at helping individuals working in the field of Cognitive Computing, which is an area of Computer Science that focuses on creating systems that can perform tasks requiring human-like intelligence. The following are some professionals that can benefit vastly from this course:
There are no formal prerequisites for this Cognitive Computing Course.
Cognitive Computing simulates the thought processes of humans. It uses deep-learning or self-learning algorithms backed by natural language processing, big data, and artificial intelligence. Cognitive Computing solves complicated problems characterised by uncertainty and ambiguity. It synthesises data from different information sources, while weighing context and conflicting evidence to advise the best possible answers.
This Cognitive Computing Training is designed to equip delegates with in-depth knowledge on how Cognitive Computing works. Delegates will learn about artificial neural network and symbolic representation of facts and rules. During this 1-day training course, delegates will become familiarised with the basics of linguistics. In addition, delegates will gain knowledge of supervised learning, unsupervised learning, and linear regression. Post completion of this training, delegates will be able to use spaCy for assigning part of speech tags and entity recognition.
Module 1: Introduction to Recommender Systems
Module 2: Collaborative Recommendation Approaches
Module 3: Content Based Recommendation
Module 4: Hybrid Recommendation
Module 5: Evaluating Recommender Systems
(344 remaining)
The Recommendation System Course is a specialised course that focuses on training professionals and enthusiasts in designing, implementing, and optimising Recommendation Systems. The following professionals will benefit greatly from this course:
There are no formal prerequisites for this Recommendation System Course.
A Recommendation system is an extensive class of web applications comprising predicting the user responses to the options. It is a data filtering tool that analyses historical data for predicting what users will be interested in and create accurate recommendations. This system is mostly used in social media, e-commerce platforms, and content-based services. This Recommendation System Training is designed to equip delegates with a knowledge of all the fundamental techniques in the recommender system.
In this Recommendation System Training, delegates will learn about basic concepts of recommendation systems. Delegates will get an understanding of model-based and preprocessing-based approaches. In addition, delegates will learn how to interact with constraint and case-based recommenders.
During this 1-day training, delegates will gain extensive knowledge of hybrid recommendation approaches. This course will introduce delegates to explanations in constraint, case, and collaborative based recommenders. Post completion of this course, delegates will be able to evaluate recommender systems.
Module 1: Introducing AI in MS Excel
Module 2: Machine Learning with Excel
Module 3: Smart Spreadsheets
Module 4: Dynamic Arrays in Excel
Module 5: Automated Text Analysis Using AI in Excel
Module 6: Linear Regression Analysis in Excel
Module 7: Cluster Analysis in Excel
(344 remaining)
The AI and ML with Excel Training Course is designed for professionals and analysts willing to learn how to leverage Artificial Intelligence (AI) and Machine Learning (ML) techniques using Microsoft Excel as a tool. This course is beneficial for various professionals including:
There are no formal prerequisites for attending this AI and ML with Excel Training Course. However, a basic understanding of Microsoft Excel and Artificial Intelligence would be beneficial for delegates.
Artificial Intelligence (AI) is a broad field of computer science that builds intelligent computers that can carry out tasks that traditionally require human intelligence. The ideal AI quality is the ability to rationally take actions that have the best chance of achieving a specific goal. Studying this training assists aspiring candidates in elevating Microsoft Excel to reduce human efforts in managing and analysing Excel data using AI and ML. This training aims to provide organisations with techniques for effectively and seamlessly automating Excel data handling. Individuals with excellent AI and ML skills will get higher designations in globally recognised organisations and claim their desired earnings.
In this 1-day AI and ML with Excel Training, delegates will gain comprehensive knowledge of using AI and ML features in Microsoft Excel for performing various tasks. During this training, delegates will learn about smart spreadsheets that provide insights for quantitative and visual results. They will also learn about text analysis in Excel that automates the process of extracting and classifying data using AI. Our highly expert and professional instructor, with years of experience in teaching technical courses, will conduct this training.
Course Objectives
After completing this training, delegates will be able to access multiple values with one formula and build spreadsheets using fewer formulas. They will also be able to predict the values of dependent variables and relationship between both dependent and independent variables.
Module 1: Introduction to OpenAI
Module 2: Text Completion
Module 3: Code Completion
Module 4: Image Generation
Module 5: Fine-Tuning
Module 6: Embeddings
Module 7: Moderation
Module 8: Rate Limits
Module 9: Safety Best Practices
Module 10: Production Best Practices
(344 remaining)
The OpenAI Training Course is designed for a wide range of professionals, researchers, developers, and individuals interested in learning about OpenAI's technologies and applications. This course is beneficial for various professionals including:
There are no formal prerequisites to attend this OpenAI Training Course.
The OpenAI API can be used to do any activity that includes understanding or producing natural language or code. It provides a range of models with varying degrees of power appropriate for various activities and the option to fine-tune unique models. OpenAI leverages a spectrum of models used for everything from content generation to semantic search and classification. This training will enable individuals to generate and analyse written sentences in various ways while understanding the relationship between translations and variations. Individuals with excellent programming skills will get higher designations in globally recognised organisations and claim their desired earnings.
This 1-day OpenAI Training course teaches delegates how to solve a task that involves processing language. During this training course, they will learn how to improve the other models’ performance by fine-tuning them for a specific task. They will also learn how to use APIs safely and responsibly through usage policies. Our highly expert and professional instructor, with years of experience in teaching technical courses, will conduct this training.
Course Objectives
After completing this training course, delegates will be able to use OpenAI for identifying users and detecting any policy violations in their applications. They will also be able to mitigate misalignment between the back-end-offered API and the client-consumed API.
Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on 01344203999 or Enquire.
Our training experts have compiled a range of course packages to compliment a variety of categories in order to help fast track your career. The packages consist of the best possible qualifications in each industry and allows you to purchase multiple courses at a discounted rate.
Total without package: £5985
Package price: £3595 (Save £2390)
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Flexible delivery methods are available depending on your learning style.
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water