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Introduction to AI
Rating: 4.4 out of 5(36 ratings)
464 students

Introduction to AI

A clear and concise introduction to the different AI concepts and AI in the organisation
Created byGavin Thompson
Last updated 4/2026
English

What you'll learn

  • Understanding of how AI has evolved over the years
  • Understanding of Expert Systems & Robotic Process Automation
  • Understanding of Machine Learning
  • Understanding of Deep Learning & Foundations Models
  • Understanding of Generative AI & Retrieval-Augmented Generation (RAG)
  • Understanding of Agentic AI and AI Agents
  • Understand of Automata Robotics, Expert Robotics, Cognitive Robotics & Artificial General Intelligence
  • Understanding of the roles of AI in a typical organisation
  • Understanding of the implications of AI for organisations and individuals
  • Understand of AI Governance

Course content

7 sections9 lectures1h 3m total length
  • Course Introduction4:07

    In this lecture, Gavin welcomes you to the Introduction to Artificial Intelligence course and provides some background on how the course came about.  We also cover the general definition of Artificial Intelligence.

Requirements

  • No previous knowledge of AI required

Description

This course makes use of AI‑generated images and avatars to enhance visual learning and engagement. All course content has been written by Gavin Thompson, drawing on deep practical experience in business transformation, operational excellence, and applied AI.

Introduction to Artificial Intelligence is designed to give you a clear, confident understanding of what AI really is, how it has evolved, and why it matters today. Rather than overwhelming you with mathematics or complex technical theory, the course focuses on explaining AI concepts in plain, accessible language, supported by rich, visually engaging illustrations that bring abstract ideas to life.

The course is ideal for professionals, leaders, analysts, architects, and curious learners who want a broad, structured overview of AI, without needing a technical background. By the end of the course, you will be able to clearly distinguish between different types of AI, understand how modern systems are built on earlier foundations, and confidently participate in conversations about AI strategy, adoption, and governance.

Beyond concepts, the course places strong emphasis on real‑world organisational impact. You will explore how AI can be applied within organisations to improve efficiency, decision‑making, and innovation, while also examining the implications of AI for current and future job roles. This includes an honest discussion about automation, augmentation, and the skills organisations need to develop to remain competitive.

Topics covered include:

  • Automata and Robotics

  • Expert Systems and Expert Robotics

  • Robotic Process Automation (RPA)

  • Machine Learning and Deep Learning

  • Cognitive Robotics

  • Foundation Models and Transformers

  • Generative AI & Retrieval-Augmented Generation (RAG)

  • Agentic AI and AI Agents

  • Artificial General Intelligence (AGI)

  • AI and the Intelligent Organisation

This course provides a strong foundation for anyone looking to understand AI in context, where it came from, how it works at a conceptual level, and how it is shaping the intelligent organisations of today and tomorrow.

Who this course is for:

  • Anyone wanting a broad understanding of AI