• Executive education

Executive Certificate: Business Transformation with Gen AI & Agentic AI Systems

Understand the business applications of AI and learn to turn agentic AI opportunities into scalable business outcomes with the Executive Certificate in Business Transformation with Gen AI and Agentic AI Systems.

Course key facts

  • Date

    3 Dec 2026 - 4 March 2027

  • Duration

    13 weeks

  • Credits

    Non credit bearing

  • Format

    Online

  • Fee

    £2,610

  • Location

    Online

Overview

Build the acumen and skills required to effectively integrate AI into your organisation and lead and drive gen AI and agentic AI initiatives through the comprehensive Executive Certificate in Business Transformation with Gen AI and Agentic AI Systems learning journey from Imperial College London.

Why choose this multiprogramme learning journey?

This multi-programme experience brings together a non-technical approach to leverage gen AI and agentic AI, equipping you to strategically apply AI in a real-world business context, transform businesses and create a sustainable competitive advantage. The learning journey offers a practical approach to applying AI without requiring a technical or coding background, giving you the AI edge to advance your career and shape the future of your organisation with meaningful AI innovation.

This focused learning journey will prepare you to leverage AI for organisational transformation and growth. You will explore the integration of AI and gen AI into business strategy and operations, while gaining the strategic frameworks and practical perspectives needed to evaluate, implement and scale agentic AI initiatives. 

Key takeaways 

The AI for Business Transformation: Generative AI, Agentic AI and Beyond programme will enable you to:

  • Evaluate the foundational principles of AI and summarise its current state and advancements, demonstrating an understanding of its concepts
  • Assess the potential and pitfalls of AI to make informed business decisions
  • Evaluate the effectiveness of gen AI strategies in recruitment and interviewing
  • Identify opportunities for innovation by generating business ideas with gen AI tools
  • Design and optimise AI-driven solutions using gen AI tools for practical business scenarios        
  • Analyse ethical dilemmas and regulatory hurdles of AI in business environments
  • Design innovative business strategies that leverage AI for growth and competitive advantage
  • Utilise creative thinking and systematic experimentation to drive strategic and visionary outcomes while fostering a culture of creativity and continuous improvement
     

The Agentic AI Programme will enable you to: 

  • Design agentic AI solution blueprints that align autonomy, decision-making and user experience with a defined business opportunity
  • Stress-test a working multi-agent system, diagnose quiet failures using behavioural evidence and test a guardrail under fault conditions
  • Evaluate the readiness, performance and scalability of agentic systems within an organisational context
  • Analyse the ethical, strategic and organisational considerations required to integrate agentic capabilities responsibly
  • Assess emerging industry trends and innovation opportunities to lead strategic agentic AI initiatives
  • Develop a presentation-ready Agentic AI Solution Blueprint that brings together product design, architecture, evidence, governance, pilot readiness and scaling

 

Learning journey

AI for Business Transformation: Generative AI, Agentic AI and Beyond

Duration: 6 weeks | Online

Explore the fundamentals of AI and gen AI tools, and learn how to apply them to solve business challenges, optimise processes and drive innovation. This section includes hands-on modules designed to encourage practical learning, interactive engagement and strategic thinking.

Modules

  • Module 1: Fundamentals of AI in Business
  • Module 2: Generative AI Tools and Prompt Engineering
  • Module 3: Automating Workflows with Generative AI
  • Module 4: Innovation and Competitive Advantage Through Generative AI
  • Module 5: Managing Organisational Impacts and Strategic Integration
  • Module 6: Ethical Considerations and Risk Management in AI
  • Module 7: Live Online Session

Course details

This Programme has been designed with the same careful balance of teaching, hands-on coursework and training that Imperial College London values across all of its programmes. As one of the top ten universities worldwide, Imperial drives global business and social transformation through the fusion of business, technology and an entrepreneurial mindset. We attract brilliant minds and provide the environment to foster innovative thinking, resulting in groundbreaking ideas that unlock business opportunities.

Your instructors

Chris Tucci

Professor of Digital Strategy and Innovation (Management)

Professor Chris Tucci received the degrees of Ph.D. in Management from the Sloan School of Management, MIT; SM (Technology & Policy) from MIT; and BS (Mathematical Sciences), AB (Music), and MS (Computer Science) from Stanford University. He was an industrial computer scientist involved in developing Internet protocols and applying artificial intelligence tools. Chris' primary area of interest is in how firms make transitions to new business models, technologies, and organisational forms. He also studies crowdsourcing, Internetworking, and digital innovations. The faculty draw on Management and Science research to ensure the course content is practical, designed for working professionals, and focused on information you can apply immediately.

Islem Rekik

Associate Professor of Machine Learning and AI at the Department of Computing.

Islem Rekik is an Associate Professor of Machine Learning and AI at the Department of Computing, and a member of Imperial X. She leads the IX for Humanities network, which explores the intersection of AI, STEM and humanities, focusing on ethics, fairness and inclusiveness. With over a decade of experience in AI research across the US, Scotland, Turkey and the UK, she founded the Brain and Signal Research and Analysis lab in 2017. Her pioneering work in generative Neuro AI has led to over 60 peer-reviewed research projects. Islem’s research includes forecasting brain networks, developing AI tools for low-resource environments and advancing multimodal generative AI. She also champions inclusivity through initiatives such as the RISE Network, which is aimed at empowering minority researchers. She has organised and chaired over 25 international conferences and workshops, including the prestigious MICCAI series.

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