Artificial Intelligence & Machine Learning - United Kingdom

Who should attend this Machine Learning Training Course?

This training course is beneficial for the delegates who wish to get proficient in machine learning. Professionals who are best suited for this course:

• Graduates who wish to build a career in machine learning
• Analytics managers
• Information architects who wish to gain proficiency in machine learning algorithms
• Experienced Professionals who would like to gain more insights in their fields
• Developers intending to become a machine learning engineer or data scientist

Prerequisites

It is recommended that the delegates should possess some basic knowledge of python programming, statistics fundamentals, and high school mathematics for this course.

Machine Learning Course Overview

Machine learning is an application of artificial intelligence (AI). It is typically concerned with the computer programs that enable computers to evolve behaviours based on empirical data. Today, Machine Learning becomes a key technique to solve various problems in multiple areas such as computational finance and biology, NLP, and energy production.

This Machine learning training course will assist the delegate to gain mastery over machine learning. This training course guides the delegates through the different concepts of machine learning such as neural networks, algorithms, clustering, supervised and unsupervised learning. By the completion of the training course, the delegate will gain expertise in creating algorithms and applications in machine learning.

Machine Learning is one of the leading career choices these days. The demand for machine learning is increasing day by day, so in the upcoming years, the companies are expected to increase their investments in this technology.

What's included in this Machine Learning Training Course?

• The Knowledge Academy’s Machine Learning Training Course Manual
• Experienced Instructor
• Completion Certificate
• Refreshments

Prerequisites

It is recommended that delegates possess some basic knowledge of Python, linear algebra and probability.

Who should attend this Deep Learning Training?

This course is intended for individuals who wish to learn how deep learning works and who may wish to develop their own applications using deep learning techniques. 

Deep Learning Course Overview

Deep Learning is used for building and training neural networks – layers of decision-making nodes inspired by the human brain.

It is a subset of machine learning (ML) where artificial neural networks learn from large amounts of data. It allows machines to solve complicated problems even when using diverse, unstructured, and interconnected data sets.

This Deep Learning Training course will provide you with a basic understanding of the linear algebra, probabilities, and algorithms used in deep neural networks. After learning the difference between deep learning and machine learning, delegates will gain in-depth knowledge of the different types of neural networks such as feedforward, convolutional, and recursive. At the end of this course, delegates will be able to build complex models that help machines to solve real-world problems.

What's included in this Deep Learning Course?

• The Knowledge Academy’s Deep Learning Training Manual
• Experienced Instructor
• Completion Certificate

Who should attend this Deep Learning Training Course?

This training course is designed for engineers who wish to get expertise in using the TensorFlow. It is recommended for the following professionals:

• Data Scientists
• Software Engineers
• Data Analysts

Prerequisites

Basic knowledge about Python programming and machine learning can help the delegate to learn this course easily. 

Deep Learning with TensorFlow Course Overview

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.

What's included in this Deep Learning Training Course?

• The Knowledge Academy’s Deep Learning with TensorFlow Training Course Manual
• Experienced Instructor
• Completion Certificate
• Refreshments

Who should attend this NLP course?

Prerequisites

Before attending this Natural Language Processing (NLP) Fundamentals with Python Training course, delegates should have a basic knowledge of Python.

Audience

This training course is suitable for everyone who wishes to gain knowledge regarding Natural Language Processing. However, this course is more beneficial for:

• Data Scientists
• Developers
• Python Professionals
• Programmers
• Data Analysts

Natural Language Processing (NLP) Fundamentals with Python Course Overview

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

• To serve the interaction between computers and humans
• To derive meaning from human languages using machine learning
• To transfer linear sequences of words into structures with semantic analysis
• To analyse language-based data compared to humans without bias
• To analyse large paragraphs of text by splitting them into sentences
• To find the lemma and root form of the word through lemmatisation

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.

What's included in this NLP training course?

• Delegate pack consisting of course notes and exercises
• Experienced Instructor

Prerequisites

There are no prerequisites for this course, anyone with an interest in AI or the way that AI can support project management should attend.

Audience

This course is designed for Project Managers with an interest in developing their awareness of AI and how AI can support their projects, operations, and efficient management

Artificial Intelligence (AI) for Project Managers Course Overview

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.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor

Prerequisites

There are no prerequisites for this course.

Who should attend?

This course is designed for Business Analysts.

Artificial Intelligence (AI) for Business Analysts Course Overview

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.

What's included?

• The Knowledge Academy's Artificial Intelligence (AI) for Business Analysts Course Manual
• Experienced Instructor
• Certificate

Prerequisites

There are no prerequisites for this course.

Who should attend?

This course is well suited for:

• Application Developers
• System Administrators
• Security Engineers

Artificial Intelligence (AI) for DevOps Course Overview

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.

What's included?

• The Knowledge Academy's Artificial Intelligence (AI) for DevOps Course Manual
• Experienced Instructor
• Certificate

Prerequisites 

There are no prerequisites for attending this course. However, basic knowledge of statistics and programming will be beneficial.

Who should attend?

This course is designed for IT Professionals.

Artificial Intelligence (AI) for IT Professionals Course Overview

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

• The Knowledge Academy's Artificial Intelligence (AI) for IT Professionals Training Course Manual
• Experienced Instructor
• Certificate

Prerequisites

There are no prerequisites for this course. However, some experience with the Python programming language would be beneficial.

Audience

Anyone who wants to learn about neural networks and deep learning can attend this course.

Neural Networks with Deep Learning Training Course Overview

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.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Prerequisites

There are no prerequisites for attending this course.

Audience

Anyone interested in learning how cognitive computing works with machine learning, deep neural networks, and NLP can attend this course.

Cognitive Computing Training​ Course Overview

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.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Prerequisites

There are no prerequisites to attend this course.

Audience

Anyone wishes to have a comprehensive knowledge of Recommendation system can attend this course. This course is well-suited for:

• Machine Learning Engineers
• Data engineers and Scientists
• Data Analysts

Recommendation System Training​ Course Overview

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.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor

Prerequisites

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.

Audience

The Knowledge Academy designed this training course for those who wish to enhance their knowledge of Artificial Intelligence and Machine Learning using Microsoft Excel.

AI and ML with Excel Training Course Overview

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

• To build data presentation within an Excel spreadsheet
• To save time and reduce the chances of errors occurring
• To create dataset that help to achieve data science objectives
• To produce professional spreadsheets and documents in less time
• To learn from patterns in the data to form a result in native process
• To integrate data yielding visualisation of data in sortable complex arrays

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.

• Delegate pack consisting of course notes and exercises
• Courseware
• Experienced Instructor

Prerequisites

There are no formal prerequisites to attend this OpenAI Training course.

Audience

This OpenAI Training course is suitable for anyone who wants to develop friendly AI in a responsible manner. 

OpenAI Training Course Overview

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

• To manipulate images based on a new text prompt
• To generate a text completion to match the given pattern
• To reduce the occurrence of unsafe content in completions
• To maintain a smooth and consistent experience for all users
• To customise a model for an application with high-quality results
• To learn how to recover from rate limit errors without missing data or crashing

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.

• Delegate pack consisting of course notes and exercises
• Courseware
• Experienced Instructor