Agentic AI: From Blueprint to Business Value
The programme equips you with the strategic frameworks and practical perspective to assess which workflows need agents, design agentic architectures and stress-test working multi-agent systems.
Course key facts
-
Date
3 Dec 2026 - 11 February 2027
Duration
7 weeks
-
Credits
Non credit bearing
-
Format
Online
Fee
£1,445
-
Location
Online
Overview
The Agentic AI Programme from Imperial College London is a seven-week online agentic AI programme developed for professionals like you who want to turn agentic AI opportunities into scalable business outcomes. As organisations adopt increasingly autonomous AI systems, the programme equips you with the strategic frameworks and practical perspective to assess which workflows need agents, design agentic architectures and stress-test working multi-agent systems while evaluating AI autonomy, governance and deployment readiness.
Through faculty insights, practical exercises, real-world examples and a hands-on capstone project, you will leave with a stronger understanding of how to lead agentic AI initiatives and develop an Agentic AI Solution Blueprint.
Participants are not required to have a technical or coding background to benefit from the programme and its practical application of agentic AI.
Learning journey
The Agentic AI Programme comprises seven online modules that combine faculty insights, practical exercises, real-world examples and a cumulative capstone project. Together, the modules help you identify opportunities for agentic AI, define autonomy requirements, design first-release architectures, test agentic behaviour, assess pilot readiness and develop a strategy for responsible organisational scale.
Module1: Why Agentic AI- Now?
Module 2: From Generative to Agentic AI- Designing for Autonomy
Module 3: Architecting (Designing) Agentic Systems for Business Outcomes
Module 4: Orchestrating Your First Agentic Framework: From Agent to System
Module 5: Assessing Feasibility and Readiness
Module 6: From Pilot Agent to Scale
Module 7: Future of Agentic AI
Course details
The Agentic AI Programme combines practical exercises, real-world examples, proven frameworks and a cumulative applied capstone project to help you apply agentic AI concepts in a business context. The programme includes pre-recorded sessions with faculty. combined with activities and exercises hosted on our learning platform which you can work through in your own time each week.
The Agentic AI Programme is designed for professionals responsible for evaluating, designing or implementing agentic AI initiatives within their organisations. It is particularly suited for:
- Business and functional leaders evaluating and sponsoring agentic AI initiatives across business functions
- Vice presidents, heads and directors identifying agentic AI opportunities and aligning business and technical priorities
- Transformation leaders and business analysts driving AI strategy, workflow redesign and governance initiatives
- Founders and independent consultants building agentic AI products, services or advisory practices
- Solution architects, engineering managers and technical leads designing and overseeing agentic AI systems with effective governance
At the end of this programme, you will be able 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 failure 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 Product Blueprint that brings together product design, architecture, evidence, governance, pilot readiness and scaling
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.
.jpg)
Tatia Codreanu
Teaching Fellow
Dr Tatia Codreanu is an I-X Affiliate and holds a PhD in Applied Linguistics. Her doctoral dissertation presented transdisciplinary research on digital communication, design thinking, user experience and cognitive psychology. She has extensively participated in research projects, presented at numerous international conferences, published papers and serves as a peer reviewer in international academic journals. She has extensive experience in designing and implementing innovative methods for start-ups, edtech companies and senior executives. Dr Tatiana Codreanu's research explores the intersection of AI, cognitive science and strategic communication, with a focus on human–AI collaboration, AI ethics and digital transformation. Her work examines how AI systems can foster trust, support strategic decision-making and enhance organisational performance. Dr Tatiana has contributed to European Union research projects.
.jpg)
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.
Contact us
Lifelong Learning
Online Programmes
