Generative AI Foundations

Programme

12 hands-on modules, 4 exam domains

1. 1

   Introduction to generative AI

   3 h

   What AI and GenAI are, how GenAI differs from other AI and from search engines, applications, key concepts, capabilities and limitations.

   Domain 1Available
2. 2

   How generative AI works and how to choose tools

   3 h

   Language and multimodal models, training data, tokens, model families, inputs and outputs, tool selection criteria.

   Domain 1
3. 3

   Prompt engineering basics

   3 h

   Anatomy of an effective prompt: goal, context, instruction, role, constraints, format. Research, summarising, content creation.

   Domain 2
4. 4

   Creating and transforming content with AI

   3 h

   Editing, proofreading, style and tone, translation, structuring information, working with source documents.

   Domain 2
5. 5

   Prompt refinement

   3 h

   Evaluating and improving prompts, context, persona, examples, templates, glossaries, iterative work.

   Domain 3
6. 6

   Multimodal AI – image and video

   2.5 h

   Image prompts, analysing and editing images, text-to-video, image animation, responsible use.

   Domain 1Domain 2
7. 7

   Advanced prompting techniques

   3 h

   Zero-shot, few-shot, prompt chaining, reverse prompting, multi-step work, choosing the right technique.

   Domain 3
8. 8

   Reliability and verification of AI output

   3 h

   Hallucinations, outdated data, fake sources, verifying facts and numbers, critical evaluation of results.

   Domain 4
9. 9

   Ethics, law, privacy and social impact of AI

   3 h

   Bias, personal and confidential data, copyright, transparency, deepfakes, accountability and human oversight.

   Domain 4
10. 10

    AI in professional practice

    2.5 h

    Email, documents, research, analysis, planning, learning. Choosing tools and building your own workflows.

    Domain 1Domain 2Domain 3Domain 4
11. 11

    External exam preparation

    3 h

    Review of the four domains, exam scenarios, English GenAI vocabulary, mock test.

    Domain 1Domain 2Domain 3Domain 4
12. 12

    Course wrap-up and internal exam

    2.25 h

    Review, principles of responsible AI use, internal exam and results discussion.

    Domain 1Domain 2Domain 3Domain 4

Exam domains