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Generative and Agentic AI Programme
Oxford Saïd Business School

Generative and Agentic AI Programme

Oxford Saïd Business School, Oxford
HomeData & AIOxford Saïd Business SchoolGenerative and Agentic AI Programme
20 daysDuration
onlineFormat
EnglishLanguage
Data & AITopic

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Executive Summary

An online programme offering practical, hands-on learning in generative and agentic AI, with guidance on evaluating and using these tools safely and effectively. This short online programme cuts through the noise surrounding generative and agentic AI. Built for busy decision-makers, it blends Oxford’s academic depth with hands-on demonstrations to show where these technologies genuinely add value and where their limits lie. Participants explore how AI models and agents work, compare platforms, and learn how to move from concept to pilot with clear oversight. Across three intensive modules, you will examine realistic use cases, build a simple agent on an existing platform, and learn to use a governance checklist for internal or client review. Led by Professor Mike Wooldridge, Ashall Professor of the Foundations of AI at Oxford University and a pioneer in multi-agent systems, and Professor Matthias Holweg, American Standard Companies Professor of Operations Management, a leading expert in digital operations and AI governance and Director of the Oxford Artificial Intelligence Programme, the programme offers practical, tool-agnostic insights that help you make credible decisions and accelerate responsible AI adoption. Register your interest

About This Program

Grounded in Oxford research on agent systems, AI workflows and digital transformation, the programme bridges academic insight with real-world application. draw on established research in multi-agent architectures, operational design and responsible AI practice to help participants separate hype from credible opportunity. This thinking shapes a curriculum that supports informed decision-making, platform evaluation and safe experimentation.

Why Oxford Saïd Business School?

Oxford's business school carries something no rival can replicate: a university founded in 1096 sitting behind every certificate. But Saïd is not simply trading on inherited prestige — its executive programs are deliberately designed around the idea that the most pressing organisational challenges are inseparable from broader societal ones, and the faculty and curriculum reflect that in unusually concrete ways.

Your Profile

  • No advanced technical background is required. Familiarity with digital tools or automation platforms is helpful but not essential. The programme is designed for leaders, managers and consultants who need practical understanding rather than deep engineering knowledge.

Benefits

  • Clarity on what generative and agentic AI can and cannot do
  • Practical frameworks to evaluate platforms and make informed buy build decisions
  • Confidence to lead AI initiatives with clear ROI and governance
  • Hands-on experience designing and building a simple agent
  • Outputs you can use immediately, including a use case template and governance checklist
  • Faster, more focused evaluation of AI opportunities
  • Reduced risk through structured oversight and governance protocols
  • Better-informed investment decisions across tools, licences and skills
  • Practical progress towards safe, value-driven AI adoption
  • Understand the foundations of generative AI and how LLMs function within broader workflows
  • Identify and assess high-value use cases for AI tools and agents in your organisation
  • Build and compare a simple agent to automate a workflow
  • Develop a business case for investment, including ROI framing
  • Recommend oversight and governance measures for autonomous workflows

What You'll Learn

  • Module 1 — Generative AI
  • Module 2 — From Models to Agents
  • Module 3 — Hands-on with Agents
  • Understand the foundations of generative AI and how LLMs function within broader workflows
  • Identify and assess high-value use cases for AI tools and agents in your organisation
  • Build and compare a simple agent to automate a workflow
  • Develop a business case for investment, including ROI framing
  • Recommend oversight and governance measures for autonomous workflows

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

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  3. 3

    Contact the school

    Send a message directly to Oxford Saïd Business School via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through Oxford Saïd Business School's official application portal.

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