Generative AI is already changing how business gets done. This course demystifies generative AI and shows you how to implement it thoughtfully across your team, workflows, and strategy.
Unlock strategic value with Generative AI through practical insights, risk-aware planning, and preparing for effective enterprise adoption.
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.
years
of management experience
years
of work experience
This includes, but is not limited to:
Team leaders and managers
Middle management executives
Mid-career executives aiming to progress
Learn how to turn generative AI into real business value through practical insight and enterprise-ready action.
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.
This programme can also be taken as part of the Certificate in Management. Enhance your leadership approach, hone your business skills and curate your own curriculum with a blend of online and in-person learning.
The fee for the programme is £2305*
We offer a 25% discount for London Business School Alumni and for those who have completed four eligible Certificate in Management or Certificate in Finance programmes.
For more information on what the programme fee covers, please speak to our Client Relationship Manager.
*Fees are subject to change
Submit your application through our online application form.
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Whether you are an individual or an organisation/group looking for a course, get in touch and we can help find the best solution for you.
