AI for Business Transformation: Generative AI, Agentic AI and Beyond
Empowering leaders to move beyond AI awareness into action — integrating generative and agentic AI into strategy, operations and decision-making to drive innovation and competitive advantage in an AI-first world.
Course key facts
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Date
8 Oct - 26 November 2026
10 Dec 2026 - 4 February 2027
Duration
6 weeks
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Credits
Non credit bearing
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Format
Online
Fee
£1,700
Overview
Learning journey
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
Live Sessions: Explore how agentic AI can streamline business workflows, enhance decision‑making and support operational efficiency. Learn practical approaches to governing AI safely and responsibly. Understand how organisations can integrate agentic AI into teams and everyday work.
Course details
The AI for Business Transformation: Generative AI and Beyond programme is ideal for both technical and non-technical professionals looking to leverage AI for enhanced decision-making and leadership. The programme is suitable for leaders including, but not limited to:
- Executive leaders, including founders and other C-Suite leaders, aspiring to harness AI for strategic innovation and business scaling
- Innovation and strategy leaders looking to integrate AI to optimise processes and improve efficiency
- Functional leaders aiming to leverage AI for improved insights and engagement
- Consultants looking to develop AI strategies for guiding clients through transformations
- Head talent managers seeking to automate, streamline and enhance talent management with Al
By the end of the programme, you will be able 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 genAI strategies in recruitment and interviewing
- Identify opportunities for innovation by generating business ideas with genAI tools
- Design and optimise AI-driven solutions using generative 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
- Use creative thinking and systematic experimentation to drive strategic and visionary outcomes, while fostering a culture of creativity and continuous improvement
Each programme includes an estimated learner effort per week, so you can gauge what will be required before you enrol. This programme is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Upon successful completion of the programme, you will receive a smart digital certificate. You can use it on your cover letter, resume and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
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.
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