天美传媒
  • Executive education

Transforming Business with AI

This flagship programme is designed for leaders who need to understand AI deeply enough to make confident strategic choices.

Course key facts

  • Date

    13 - 17 July 2026

    16 - 20 November 2026

  • Duration

    1 week

  • Credits

    Non credit bearing

  • Format

    In-person

  • Fee

    拢6,950

  • Location

    On Campus (South Kensington)

Overview

A 5-day immersive programme for leaders navigating the age of intelligent systems

Transforming Business with AI’ is a 5-day immersive programme designed to empower you to lead confidently in the age of intelligent systems.

Artificial Intelligence is reshaping how organisations create value, deliver services, and compete. Generative AI and Agentic AI systems are redefining what businesses can automate, augment, and reimagine. Leaders now face an urgent question: how do we move beyond transcend experimentation and translate utilise intelligent technologies into for meaningful, organisation-wide powerful transformation?

Transforming Business with AI is a flagship programme designed for leaders who need to understand AI deeply enough to make confident strategic choices. You will explore the technological frontier, identify high-value opportunities, build viable AI-enabled business cases, and mobilise the organisational networks required to implement them.

Grounded in Imperial’s research on intelligent systems and innovation management, the programme moves far beyond typical high-level introductions to AI. You work hands-on with emerging technologies, apply frameworks for transformation under uncertainty, and build the strategic and behavioural capabilities required to lead in an AI-enabled world.

Learning journey

Transforming Business with AI is a five-day immersive experience structured around faculty-led sessions, interactive workshops, simulations, and hands-on engagement with intelligent technologies.

Across the week, you progress through the Inspire → Integrate → Influence network framework, developing the strategic, technological, and behavioural capabilities required to lead AI-enabled transformation.

The week begins with a strong foundation in Generative AI, Agentic AI, and intelligent systems, exploring how these technologies are reshaping business models, workflows, and organisational design. You then learn how to identify opportunities for AI-enabled innovation through catalytic networks and vision advantage. As the week progresses, you apply scenario-based tools to develop viable business cases for AI initiatives under different levels of technological and demand uncertainty.

The programme then turns to the human dynamics of change—cross-functional collaboration, dual networking, and influence networks—and how these shape the success of innovation initiatives. You conclude the week by presenting your AI-enabled proposal, refined through expert feedback and informed by real-world industry insight.

The core themes of our programme include:

  • AI systems fundamentals: Generative AI, Agentic AI, and intelligent systems; model constraints, advanced prompting, RAG concepts, workflow automation
  • Network-based opportunity identification and catalytic innovation
  • Scenario-based approaches for designing AI-enabled business cases
  • Cross-functional collaboration and dual networking
    Influence networks and leadership for AI-enabled transformation

AI Systems Fundamentals & Opportunity Identification

Acquire a foundational understanding of Generative AI, Agentic AI, and intelligent systems, including how large models reason, retrieve information, and operate within their constraints. Explore context windows, memory limits, and multi-agent workflows, and understand where these systems excel and where they fail.
 You will then begin identifying areas of opportunity by mapping how intelligent systems could reshape your organisation’s processes, decision-making, and value creation.

Sessions on day one will include:

  • Welcome and introduction
  • Fundamentals of Generative AI, Agentic AI, multi-agent systems
  • Hands-on workshops using LLM based tools (such as ChatGPT and Perplexity) and agent building
  • Exposure to architectural components (e.g., LLMs, RAG, agents) at a non-code level
  • Model constraints: context windows, memory boundaries, retrieval behaviour
  • Introduction to workflow automation and agentic orchestration
  • Divergent thinking for identifying areas of opportunity
    Workshop: Defining your organisational challenge

Video

Programme overview

"If you're ready to build all of the capabilities that your organisation will rely on for the next decade and you want to understand AI deeply enough to lead with it, not just talk about it, this programme is for you."

Course details

Course instructors

Professor of Entrepreneurship

Bart holds the Chair in Entrepreneurship at ETH Zürich, where he is a full-time professor and visits Imperial College Business School to teach "corporate entrepreneurship and innovation" in its executive MBA and various open and customised executive programmes. Before ETH, he was a full Professor of Entrepreneurship at Imperial College. He is a founder of several high-tech start-ups in businesses such as digital cinema, mobile internet and venture incubation. Bart was an advisor in technology policy at the European Commission and he still consults on innovation and technology matters for various European governments and agencies. He has over 50 publications in the field of high tech start-ups and managing growth of these companies and has been an executive teacher for several corporates such as KLM, Belgacom, Panasonic, EDF, BP, BT, Finmechanicca and Leo Pharma in corporate venturing and innovative turnaround strategies.

Professor of Digital Strategy & Innovation

Chris Tucci is Professor of Digital Strategy & Innovation and 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. Professor Tucci’s primary area of interest is in how firms make transitions to new business models, technologies, and organisational forms

Professor of Technology and Innovation

Anne ter Wal is Professor of Technology and Innovation Management in the Department of Management and Entrepreneurship. His research, often in collaboration with leading multinational companies as well as start-ups, focuses on the role of networks in innovation and entrepreneurship. Specifically, Anne studies how individuals access new knowledge and ideas through networks within and between organizations and the challenges they face when seeking to apply these ideas to the creation of novel products and services. He leads a large-scale EU-funded research project titled "Networking for Innovation", studying how networking enables entrepreneurs and innovators to build valuable networks that help them achieve business and innovation success. He also has an interest in the management of creativity, in particular in the role of bootlegging and other deviant forms of creativity in driving innovative outcomes.

Contact us

Jos茅 Rosario

Director of Business Development - Open Programmes