AI Insights is a strategic briefing and a practical toolkit. It is not another AI overview. The aim is to give you a framework sophisticated enough to engage with AI intelligently and a set of tools you can use immediately.

It is fast tracked and self-paced. Nine sections of 10 to 20 minutes, 3 hours in total, so you never need a clear afternoon to make progress.

Nine sections build on one another, from the global picture through to implementation: global AI adoption in 2026, covering geography, industry and the gap between adoption and maturity, an Eisenhower risk matrix prioritising 20 AI risks, the top AI platforms across personal, business and enterprise tiers, AI in practice across 16 case studies in business, health, sport and education, applied case studies from live deployments, a hands on platform exercise, data protection and intellectual property, implementation and change management, and closing with the foundational research that built modern AI.

Each section pairs current evidence with real cases, successes and cautionary failures alike, plus exercises and reflection points. The through line is that AI is a research assistant, not an oracle. The capability being built is effective, critical collaboration with it.

Nine sections to help pace and space your learning. Includes pre/post survey measure to track changes, evidence-based content delivered in 10-20 minute pieces, activities to develop, embed and apply learning, trained speaking AI coach support, quiz which provides a Certificate of Completion as evidence to claim CPD.

Learning Outcomes

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

  • Engage with AI critically rather than passively, as a collaborator rather than a recipient.

  • Locate your organisation on the adoption to maturity curve and explain why that gap matters.

  • Prioritise AI risks by what is material, not what is loud.

  • Select the right AI platform for a given task, and reassess as the landscape shifts.

  • Apply the essentials of IP ownership, data protection and AI regulation at work.

  • Lead AI adoption as a change and governance challenge, not an IT project.

  • Verify before acting, treating AI output as a starting point and never as evidence.

  • Leave with a concrete 90 day action, not just a point of view.

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Course curriculum

    1. Get your Start and Finish Measure

    1. 1 Global AI Adoption 2026

    2. 2 AI Risk Eisenhower Matrix

    3. 3 Top AI Platforms 2026

    4. 4 AI in Practice

    5. 5 Case Studies

    6. 6 Exercise - Big Company AI Challenge

    7. 7 IP and Data Protection

    8. 8 Considering Implementation

    9. 9 AI for Research

    1. HERE

Learning Ecosystem: Layer 5

  • $59.00
  • 11 lessons
  • Format: Series of webinar style video lectures. Suggested learner time: 3 hours in total, taken in 10 to 20 minute pieces at your own pace. This covers the content, the activities and the quiz.
  • Authored by Dr. Mike Conway and Daniela Kraus
  • Presented by Daniela Kraus