Executive Certificate in Management and AI-Led Business Transformation
Equipping leaders to navigate AI-powered transformation, strengthen strategic decision-making and management capability, and drive innovation, organisational growth and measurable business impact in modern organisations.
Course key facts
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Date
10 Dec 2026 - 10 August 2027
Duration
8 months
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Credits
Non credit bearing
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Format
Online
Fee
£4,400
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Location
Online
Overview
Build the strategic leadership, management development and AI expertise required to lead modern organisations through transformation, innovation and business growth with the Executive Certificate in Management and AI-Led Business Transformation programme from Imperial.
Why choose this multiprogramme learning journey?
Navigate leadership in an AI-powered era through the combined strengths of the AI for Business Transformation: Generative AI, Agentic AI and Beyond programme and the Management Development Programme. Designed for professionals looking to strengthen strategic decision-making, leadership effectiveness and digital transformation expertise, this learning journey explores how generative AI, agentic AI and emerging technologies are reshaping organisations, workflows and business operations.
Across both programmes, you will examine the practical application of AI within contemporary business environments while building the management and leadership perspectives needed to respond to evolving organisational challenges. From understanding how AI works in real-world business contexts to exploring strategic management techniques, this learning journey offers a multidisciplinary approach to modern leadership development.
Key takeaways
Through this multiprogramme learning journey, you will strengthen your ability to develop the cross-functional skills and AI capabilities necessary to thrive in management and leadership roles today.
The AI-Led Business Transformation programme will enable you to:
- Take high-impact decisions with a holistic view of finance, accounting and marketing.
- Create your personalised management toolkit to enhance your effectiveness as a manager.
- Implement management strategies for leading diverse teams.
- Drive positive business outcomes through diversity and adaptive leadership.
- Access non-technical insights that make AI concepts applicable to all professionals looking to learn AI and apply it meaningfully.
- Gain business-centric expertise in integrating generative AI into your strategy for growth and competitive advantage.
- Develop a comprehensive AI business strategy, covering implementation to long-term impact.
- Cultivate ethical AI leadership by navigating challenges with integrity and responsibility.
Learning journey
AI for Business Transformation: Generative AI, Agentic AI and Beyond | 6 weeks | Online
Explore how generative AI and agentic AI technologies are transforming modern organisations, workflows and business operations. Learn how to evaluate AI opportunities, design AI-powered solutions and integrate AI tools into strategic business initiatives.
- 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
Capstone project: complete a series of mini capstone projects that challenge you to apply AI to industry-specific business problems and develop practical AI-driven solutions. These projects reinforce your strategic thinking, creativity and ability to apply AI responsibly.
Course details
The Executive Certificate in Management and AI-Led Business Transformation programme is ideal for:
- Emerging senior leaders and C-suite aspirants responsible for driving organisational performance who want to combine stronger leadership and management capabilities with a practical understanding of generative AI, agentic AI and their business applications
- Functional leaders across marketing, finance, operations, analytics and other business functions seeking a broader business management perspective while exploring how AI tools can support decision-making and organisational workflows
- New and aspiring managers looking to build confidence in leading people, managing business functions and understanding the opportunities and challenges presented by AI technologies
- Strategy, innovation and transformation professionals seeking to connect strategic management, organisational change and AI adoption to support business initiatives and organisational development
- Consultants and advisers looking to understand how generative AI, agentic AI and emerging technologies can be applied in modern business environments while strengthening their management and strategic thinking capabilities
The AI-Led Business Transformation and Management Development programme offers an integrated exploration of artificial intelligence, leadership, analytics, marketing, accounting, finance and strategic management. At the end of the programme, you will be able to:
- Develop the leadership capabilities required to guide AI-led organisational transformation
- Apply generative AI, agentic AI and emerging technologies to contemporary business challenges
- Use business analytics to support evidence-based decision-making and identify opportunities for AI adoption
- Evaluate how AI can transform marketing, workflows, business operations and organisational performance
- Interpret accounting and financial information to assess AI investments and inform strategic decisions
- Apply strategic management and problem-solving techniques to support innovation and sustainable business growth
- Analyse the organisational, ethical and operational implications of implementing AI
- Develop practical, AI-driven solutions to real-world organisational challenges through the capstone project
Upon successful completion of this programme, you will receive a verified digital certificate of completion via email.
Note: You will earn the Associate Alumni status upon successful completion of the programme. Visit the Associate Alumni page to find out more.
Take your partnership with Imperial to the next level by becoming an Associate Alumnus. Complete one (1) of our on-campus, online, and virtual programmes to claim 'Associate Alumnus' status and join our active alumni community.
Some of the benefits of becoming an Associate Alumnus include:
- Access to the Imperial Alumni LinkedIn group
- Invites to relevant events and webinars
- 25% Discount on future learning for yourself and up to three your colleagues
If you are interested in finding out more, contact us today!
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.
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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.
Penny Hoffmann-Becking
Programme Director, Senior Teaching Fellow
Penny Hoffmann-Becking teaches strategy, business problem-solving, organisational behaviour, and leadership on a number of MBA and undergraduate programmes at Imperial Business School. Prior to teaching, Penny had a 25-year career in business and management consulting and delivered major change projects for BP, Shell, Diageo, Ruhrgas, Vattenfall, Vodafone, O2, The UK Foreign and Commonwealth Office, Santander, Gilead, SAS Institute, and Liverpool Football Club.
Calvin Tsay
Lecturer in Computational Optimisation Group, Department of Computing, Imperial London
Calvin Tsay's research interests are in the areas of optimisation algorithms, process dynamics/ control, optimisation for machine learning, and process systems engineering. Calvin's research has been published in various esteemed journals.
Daniel Rowles
CEO, Target Internet; Programme Director and Lecturer, Imperial Business School
Daniel Rowles has nearly 30 years of experience in digital marketing and digital transformation. He is CEO of TargetInternet.com, Senior Lecturer at Imperial College Business School, and a Fellow of the Chartered Institute of Marketing. As CEO of Target Internet, he is responsible for ensuring that the digital marketing e-learning platform is an industry leader, providing structured online education and training. Daniel researches and teaches the effective and ethical use of AI within Digital Marketing and Digital Transformation, with expertise across a wide range of AI platforms and tools. He is the host of the worldwide top-ten business podcast, Digital Marketing Podcast, and an award-winning author. He has worked with a wide range of business, from startups through to global clients. Daniel brings a practical and hands-on approach, combined with best practice from industry experience covering both the technical and business aspects of digital.
Jolande Bot-Vos
Principal Teaching Fellow, Imperial Business School
Jolande Bot-Vos teaches financial and management accounting in several master's, executive, and undergraduate programmes. Prior to teaching, she was a management consultant at Arthur D. Little for over a decade, where she led and participated in strategy development, overhead restructuring programmes, investment assessments, and new product development and pricing schemes.
Cláudia Custódio
Professor of Finance, Imperial Business School
Cláudia Custódio's focus is corporate finance. She is a research associate of the Centre for Economic Policy Research (CEPR), the European Corporate Governance Institute (ECGI) and the Financial Markets Group (FMG).
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