Generative AI for Leaders: From Insight to Implementation

Module 1 – Foundations of Generative AI Build a working understanding of how generative AI systems function—from predictive models to large language models—so you can engage confidently with technical and strategic conversations.

Module 2 – Horizontal Applications and Personal Productivity Learn how to use generative AI tools in everyday tasks experiment safely and embed them into your workflow to boost efficiency creativity and decision-making across roles and functions. Delve into research-backed productivity gains experiment with prompting strategies and develop safe effective workflows that enhance performance across roles and functions.

Module 3 – Vertical and Agentic Use Cases Explore how organisations deploy generative AI in high-stakes domain-specific contexts—like legal medical or financial services—and what it takes to build adopt or govern these specialised systems. You’ll also discover how agentic AI systems go beyond static tools to operate autonomously—planning deciding and acting on your behalf—unlocking a new class of applications and implementation challenges.

Module 4 – Strategy Value and Opportunity Mapping Identify where generative AI can create competitive advantage in your business using structured frameworks to evaluate value feasibility and alignment with organisational goals.

Module 5 – Risk Regulation and Responsible Adoption Understand the risks of generative AI—including bias misuse and workforce impact—and learn how to navigate emerging regulation while leading safe scalable and ethical implementation. This module also examines the profound workforce implications of generative AI: how it reshapes tasks impacts job design and accelerates both productivity and inequality. You’ll gain tools to rethink the future of work and align AI deployment with long-term business strategy.

Module 6 - Capstone – Design a Real-World AI Proposal Put your learning into action by creating a proposal for a high-impact generative AI initiative in your organisation. You’ll identify a compelling use case tailor it to strategic needs assess risks and benefits and make the case for implementation—drawing on course frameworks real tools and your own business context.

Understand how generative AI works at a foundational level including predictive AI paradigms (supervised and reinforcement learning) the mechanics of large language models and the importance of data tokens and compute in shaping performance and limitations.

Apply generative AI to real-world tasks using both horizontal and vertical approaches exploring how frontier models enhance everyday productivity and how specialised solutions transform industry-specific workflows.

Master prompt engineering and experimentation techniques learning how to structure effective inputs evaluate outputs and build habits that embed generative AI into your personal workflow and team culture.

Assess when and how to build custom AI solutions including the strategic decisions behind buy vs. build selecting base models integrating proprietary data through RAG or fine-tuning and implementing control mechanisms for accuracy and compliance.

Lead responsible and scalable adoption across your organisation using frameworks to evaluate opportunities align initiatives with business strategy navigate emerging regulation and manage the risks associated with workforce change and AI governance.

Understand how generative AI works including its underlying models data requirements and limitations so you can lead informed conversations and decisions.

Identify valuable use cases by applying structured frameworks to assess feasibility risk and strategic alignment across your organisation.

Apply horizontal generative AI tools to real tasks and build habits that promote experimentation productivity and adoption at scale.

Explore vertical and agentic AI systems and evaluate how custom or domain-specific solutions can transform specialised workflows in your industry.

Execute AI initiatives end-to-end by learning how to plan implement and govern generative AI responsibly—across pilots deployments and scaling efforts.

Equip your teams with a practical understanding of generative AI so they can make informed confident decisions about its use in daily work and strategic initiatives.

Build internal capability by exposing employees to the core mechanics of AI tools enabling them to evaluate experiment with and integrate new technologies effectively.

Accelerate adoption by fostering a culture of responsible experimentation where horizontal tools are used productively and insights are shared across teams.

Develop future-ready leaders who can assess risk align AI initiatives with business goals and manage the full lifecycle of enterprise deployment.

Gain a strategic edge through employees who understand the trade-offs of build vs. buy the power of vertical solutions and the importance of aligning AI with regulation and compliance.