Expert-led training for your team

AI Foundations training course

This is an introductory course intended for students who seek an overall understanding of AI concepts, including Machine Learning, Deep Learning, GPT models, and AGI. It provides a detailed overview of AI concepts, core services, security, architecture, and support.

JBI training course London UK

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022

Public Courses

12/08/24 - 2 days
£2500 +VAT
23/09/24 - 2 days
£2500 +VAT
04/11/24 - 2 days
£2500 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

AI Foundation Training:  

  • Introduction to AI
  • Basics of Machine Learning
  • Introduction to Deep Learning
  • Explore GPT Models and AGI
  • AI Technologies Overview
  • AI Security and Ethics
  • Learn about AI Architecture and Support


 Unit 1: Introduction to AI

  • 1.1 Defining Artificial Intelligence
  • 1.2 Brief history of AI
  • 1.3 Differences between AI, Machine Learning, and Deep Learning
  • 1.4 Real-world applications of AI
  • 1.5 Future perspectives on AI

Unit 2: Basics of Machine Learning

  • 2.1 Defining Machine Learning
  • 2.2 Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
  • 2.3 Machine Learning algorithms overview
  • 2.4 Real-world applications of Machine Learning

Unit 3: Introduction to Deep Learning

  • 3.1 Defining Deep Learning
  • 3.2 Neural Networks and Deep Neural Networks
  • 3.3 Convolutional Neural Networks (CNNs)
  • 3.4 Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
  • 3.5 Real-world applications of Deep Learning

Unit 4: GPT Models and AGI

  • 4.1 What are GPT models?
  • 4.2 Understanding Generative Pre-training
  • 4.3 Introduction to AGI (Artificial General Intelligence)
  • 4.4 Differences between Narrow AI and AGI
  • 4.5 Real-world applications and future of GPT models and AGI

Unit 5: AI Technologies Overview

  • 5.1 Overview of AUTO-GPT
  • 5.2 Introduction to Langchain
  • 5.3 Basics of Vector Databases
  • 5.4 Introduction to Pandas and data manipulation
  • 5.5 How these technologies fit in the AI ecosystem

Unit 6: AI Security and Ethics

  • 6.1 Security concerns with AI and AGI
  • 6.2 Introduction to AI Ethics: fairness, accountability, transparency
  • 6.3 Ethical considerations in developing and deploying AI models
  • 6.4 Case studies on AI Ethics


Unit 7: AI Architecture and Support

  • 7.1 Basics of AI system architecture
  • 7.2 Understanding cloud-based AI: benefits and challenges
  • 7.3 Overview of AI support tools and resources
  • 7.4 Importance of community in AI development and learning


Unit 8: AI Careers and Certification Pathways

  • 8.1 Overview of careers in AI
  • 8.2 Importance of industry-recognized certifications
  • 8.3 Pathways to advanced AI learning
JBI training course London UK

The AI Foundations course appeals to a diverse audience including students, working professionals, entrepreneurs, and hobbyists who have some baseline technical proficiency and a common interest in learning more about artificial intelligence concepts, technologies, and applications at an introductory level.

The flexible curriculum aims to cater to varying levels of AI expertise across different backgrounds.


5 star

4.8 out of 5 average

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022

“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and  the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022



JBI training course London UK



Sign up for the JBI Training newsletter to stay updated with world-class technology training opportunities, including Analytics, AI, ML, DevOps, Web, Backend and Security. Our Power BI Training Course is especially popular.  Gain new skills, useful tips, and validate your expertise with an industry-leading organisation, all tailored to your schedule and learning preferences.

Our AI training course for business and IT staff will introduce delegates to the possibilities offered by AI, as well as the terminology and market forces.

This is a short course to inspire and educate your business and IT community, to ensure that your organisation is well placed to take advantage of opportunities and to gain a competitive edge within the marketplace.

JBI's expert AI consultants will share real-world experiences and trends with delegates. This workshop can be brought onsite and run as a private course for your organisation, thus enabling a more open and relevant discussion to take place.



  • Those attending this course should meet the following:
  • Curiosity to learn about how AI systems work
  • Some programming experience in any language like Python, R, Java
  • Familiarity with basic mathematical and statistical concepts like algebra, probability
  • Basic awareness of machine learning and artificial intelligence concepts through media, etc

                                                                                                                               FAQs - Introduction to AI Course

1. Introduction to AI

Q1: What is Artificial Intelligence (AI)?

 AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans.

Q2: What is the history of AI?

AI has its roots in the mid-20th century, with early developments in symbolic AI and the first AI programs. The field has evolved significantly since then, with milestones such as the development of expert systems and neural networks.

Q3: What are the differences between AI, Machine Learning, and Deep Learning?

AI is the broader concept of machines being able to carry out tasks in a way that we would consider "smart". Machine Learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data. Deep Learning is a subset of Machine Learning that uses neural networks with many layers to model and process data.

Q4: What are some real-world applications of AI?

AI is used in various industries and applications, including virtual personal assistants, recommendation systems, healthcare diagnostics, autonomous vehicles, and natural language processing.

Q5: What are the future perspectives on AI?

The future of AI holds immense potential for advancements in various fields, including healthcare, education, transportation, and entertainment. However, ethical and societal implications must also be carefully considered.

2. Basics of Machine Learning

Q6: What is Machine Learning?

Machine Learning is a subset of AI that enables machines to learn from data without being explicitly programmed.

Q7: What are the types of Machine Learning?

The main types of Machine Learning are Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

Q8: What are some real-world applications of Machine Learning?

Machine Learning is used in applications such as spam detection, image recognition, recommendation systems, and predictive analytics.

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