AI Foundation

This learning journey is designed to prepare you to work in AI and to make decisions in relation to the application of AI in your working environment.  It is also accredited to the EXIN BCS AI Foundation (2024 V2.0) level professional certification.  We don’t just help you pass the exam – we get you started in the world of AI, including understanding the concepts, opportunities and threats of AI and building and assessing your own AI models.

Discover what AI is (and is not) possible with AI and learn the basics such as Data Analysis, Robotics, Machine and Deep Learning, GPTs and Smart Agents, Algorithms and assessment of Trustworthiness.  We cover a range of application areas such numerical models, classification systems, GPT, voice and image recognition, natural language processing and expert systems. We include recent developments in Generative AI and thinking on AI consciousness.

In this journey, we assume the participant has a basic awareness or starting knowledge of data.  The “Data Driven Foundation” learning path is ideal for this but not mandatory.  You can follow this journey first and fill in your knowledge gaps with the data driven journey later.

The learning objectives are:

• Acquire the competence level as defined in the EXIN BCS AI Foundation Professional Certification (2024 V2.0)
• Understand why Data and Artificial Intelligence are vital capabilities for now and the future
• Explore what Data Science and Artificial Intelligence are and how they create disruptive change
• Discover Intelligent Agents and different levels of Robotics
• Learn what algorithms and machine learning are and how these are used
• Build your AI Toolbox including Auto ML and common open source software tools
• Understand how humans and machines will work together now and in the future
• Become aware of the key risks and dilemma’s, and understand the EU AI Act
• Apply the EU (and UK) Guidelines for Human Centric, Ethical and Sustainable AI (Trustworthy AI)
• Learn how to get started with an application

During this course you will learn to use (free or open source) AI tools and build your first applications using provided data.  You can then proceed to build models with your own data and assess their Trustworthiness.

Note that we have added some elements that we believe are essential to learn and apply AI to the BCS syllabus. This is highlighted in the Materials section (e.g. Importance of data, Big Data, Building a model and Managing Data for AI).

Version History:

• Version 2.2 – Updated with Generative AI, the EU AI Act  and the new BCS Syllabus V2.0 August 2024
• Version 2.0 – Updated to include launch of ChatGPT and EU AI Act
• Version 1.0 – Original version launched in October 2020