AI-Enhanced Learning for Professionals

This seminar equips professionals with practical techniques to turn AI into a learning accelerator for virtually any subject. Designed with business leaders, self-driven professionals, and Learning & Development teams in mind.

Participants will explore how tools like NotebookLM, ChatGPT, Gemini, and Microsoft Copilot can help them:

●        Build personalised tutors and study plans

●        Extract and summarise key insights from complex materials

●        Generate practice questions, tests, and case studies

●        Adapt difficulty, format, and examples to role and task

●        Keep learning momentum with AI-driven reminders and micro-learning

You’ll learn to treat AI as a private, on-demand tutor, capable of accelerating your acquisition of new competences — from mastering a new software tool to building subject matter expertise — while still working in real-world professional contexts.

We will also briefly address where not to rely on AI:

●        As a substitute for contacting regulated professionals — medical doctors, lawyers, psychiatrists, psychotherapists etc.

●        To replace coaching roles — life coach, business coach, or any field where human empathy, judgment, and ethical responsibility are core

●        Regarding physical skills — sports or fitness coaching (e.g., correcting your kettlebell swing) where poor technique may cause injury

While AI can generate compelling explanations, exercises, and study materials, it remains a language-generating system — not a substitute for confidential, regulated, or embodied human expertise. Use it as a powerful assistant, not a replacement for human contact in these domains.

1. AI as Your Personal Learning Accelerator
2. 1. Understanding AI’s role in lifelong learning
   2. What AI can and cannot replace in the learning process
3. Designing Your AI-Driven Learning Plan
4. 1. Setting objectives and milestones
   2. Choosing the right AI tools (NotebookLM, ChatGPT, Copilot, Gemini)
5. AI for Rapid Knowledge Extraction
6. 1. Summarising articles, reports, and videos
   2. Creating tailored glossaries and quick-reference guides
7. AI for Active Learning
8. 1. Generating quizzes, flashcards, and exercises
   2. Adapting complexity and format to your learning style
9. Scenario-Based Learning with AI
10. 1. Simulating real-world tasks and decision-making
    2. Using AI to role-play stakeholders or problem scenarios
11. Tracking Progress & Maintaining Momentum
12. 1. AI reminders, learning logs, and micro-learning nudges
    2. Spreadsheet-based trackers for skill acquisition
13. Where Not to Use AI in Learning
14. 1. Regulated professions (see above)
    2. Human-dependent coaching and physical skills
15. Closing the Loop
16. 1. Building a post-seminar AI learning habit
    2. Creating an action plan for the next 90 days

By the end of the course, participants will be able to:

1. Define one learning goal + baseline (time/error rate/completion).
2. Build a reusable tutor prompt (teach → quiz → check).
3. Create an organised study space from 1–2 documents/links.
4. Produce one artefact (quiz, skill’s (gap) report, SOP snippet) aligned to the job.
5. Run a verification step (source tags/links or compare to manual).
6. Launch a 30-day plan with weekly checkpoints and simple metrics.

- Short demos — foundational concepts, best/worst practice examples

- Guided exercises — participants work on real learning goals

- Scenario practice — AI-assisted role-plays and problem-solving

- Peer exchange — sharing learning approaches within the group