Agentic AI Programme
From blueprint to business value
Agentic AI Programme 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.
What will you learn in the Agentic AI Programme?
Key takeaways
Solution design: design agentic AI solution blueprints that align autonomy, decision-making and user experience with a defined business opportunity.
Agentic system testing: stress-test a working multi-agent system, diagnose quiet failures using behavioural evidence and test guard rails under failure conditions.
Pilot readiness and scale: evaluate the readiness, performance and scalability of agentic systems within an organisational context.
Responsible adoption: analyse the ethical, strategic and organisational considerations required to integrate agentic capabilities responsibly.
Strategic leadership: assess emerging industry trends and innovation opportunities to lead strategic agentic AI initiatives.
Capstone integration: develop a presentation-ready Agentic AI Product Blueprint that brings together product design, architecture, evidence, governance, pilot readiness and scaling.
How is the Agentic AI Programme structured?
Module 1: Why Agentic AI – Now?
Explore the shift from predictive and generative AI to agentic systems, and examine where autonomy can create business value. Assess workplace workflows for agentic suitability, consider organisational enablers and barriers, and identify a bounded opportunity to develop throughout the programme.
Module 2: From Generative to Agentic AI – Designing for Autonomy
Examine where stand-alone generative AI reaches its limits and when agentic capabilities are warranted. Calibrate autonomy and human oversight for a workplace workflow. Then specify the tools, permissions, guardrails, escalation points, reporting and definition of done required for responsible agent behaviour.
Module 3: Architecting (Designing) Agentic Systems for Business Outcomes
Translate your agency requirements into a first-release agentic architecture. Make deliberate choices about model fit, context and memory, essential tools and architecture or orchestration; estimate the cost per useful outcome; make time-to-value trade-offs; and identify a quiet failure and the check that could catch it.
Module 4: Orchestrating Your First Agentic Framework: From Agent to System
Work hands-on with a browser-based multi-agent system running a market-entry analysis workflow. Establish a healthy baseline, inject quiet faults into orchestration and data access, diagnose failures using measured evidence, and write and test a guard rail while the fault remains active.
Module 5: Assessing Feasibility and Readiness
Assess whether an agentic AI initiative is ready for a responsible pilot using the 5R Agentic Readiness Framework and supporting governance tools. Evaluate reliability, resources, responsibility, repair, return, dependency and user experience risks to support an evidence-based Go, Go with Guard Rails, Redesign, Pause or Stop decision.
Module 6: From Pilot Agent to Scale
Evaluate the scalability of an agentic AI pilot across technical, organisational and governance dimensions. Identify bottlenecks, monitoring requirements and interconnected system risks, and develop a practical scale-up road map for responsible adoption.
Module 7: Future of Agentic AI
Explore how agentic AI can create long-term value through new products, services, business models and forms of human–AI collaboration. Integrate strategic, workforce and adoption considerations into your final agentic AI product blueprint.
How does the Agentic AI Programme support applied learning?
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.
Capstone project: Develop Agentic AI Solution Blueprint
You will develop an Agentic AI Solution Blueprint for a real or supplied business opportunity. Across the programme, you will progress from opportunity identification and autonomy design to first-release architecture, unit economics, behavioural evidence, responsible-pilot assessment and a strategy for organisational scale.
In Module 4, you will apply the testing principles from your own design work to a working multi-agent sandbox, observing how apparently healthy agentic systems can fail quietly and how evidence-based controls can reduce risk. You will use these lessons to inform the testing and control approach for your own initiative.
Case studies and real-world examples
Lucidic customer support optimisation
Discover how Lucidic used an agentic training system to optimise multiple components of a customer support agent, reportedly improving overall accuracy from 75 per cent to 92 per cent.
Microsoft Research cybersecurity risk assessment
Examine how a multi-agent system enables six specialist agents to perform different stages of a cybersecurity risk assessment, substantially reducing assessment time while producing results that are broadly aligned with those of human experts.
Klarna customer service agent
Learn how Klarna used an AI agent to manage customer service workflows and payments before restoring human support for sensitive and high-stakes cases.
NASDAQ market surveillance
Explore how AI helps identify potential market manipulation, with compliance officers, data scientists and domain experts reviewing alerts through structured workflows.
Harvey legal AI platform
Discover how agentic AI supports legal service delivery, creates new value propositions and has the potential to expand access to lower-cost legal support.
Duolingo AI conversation agent
See how an AI conversation agent extends Duolingo's offering from vocabulary practice to adaptive, personalised language conversations available at any time.
Waymo autonomous mobility
Examine how Waymo applies agentic AI to deliver autonomous, on-demand transport with a consistent, predictable and always-available customer experience.
Salesforce Agentforce
Learn how autonomous agents support sales, service and marketing while enabling an outcome-based revenue model centred on work or conversations performed rather than software seats.
DHL integrated logistics
Explore how route planning, warehouse computer vision and robotics can be integrated into a connected logistics chain as organisations scale agentic systems.
Refact AI and SWE-bench Verified
See how autonomous coding agents planned, debugged, tested and refined solutions to real software issues, reportedly resolving 349 of 500 SWE-bench Verified tasks.
AI-assisted CV screening
Analyse a constructed recruitment scenario in which three AI agents profile a role, review CVs and rank candidates, while hiring decisions remain under human oversight.
Applied sandbox experience
Run a working centralised multi-agent system that combines an orchestrator and specialist agents to analyse a market-entry question using a structured evidence workbook. Inject orchestration and data faults, compare healthy and degraded outputs and test whether a written guardrail prevents unsupported conclusions.
Programme highlights
Stress-test a working multi-agent system
Run a working agent team in a browser-based sandbox, inject orchestration and data faults, interpret measured performance evidence and test a guard rail under fault.
Applied agentic AI curriculum
Explore agent architecture, autonomy design, behavioural testing, responsible-pilot readiness and enterprise scale through faculty insight and applied examples.
Weekly office hours
Receive personalised guidance and support during weekly office hours with the learning facilitator, who will address your specific challenges.
Continuous programme access
Receive access to videos and learning materials for up to 24 months from the programme start date.
Peer learning
Participate in discussion boards to network with and draw inspiration from a cohort of global peers exploring agentic AI across industries.
Self-study activities
Deepen your knowledge with comprehensive self-study activities designed to reinforce learning and allow you to explore agentic AI concepts at your own pace.
Capstone project
Develop a presentation-ready Agentic AI Product Blueprint.
Certificate of completion
Distinguish yourself with a certificate from Imperial College London, a globally ranked university and leader in innovative thinking.
Agentic AI Programme with Imperial College London
Imperial College London is a global leader in AI, science, technology and business, bringing together diverse perspectives to tackle complex challenges and shape the future of innovation. Building on this expertise, the Agentic AI Programme draws on faculty expertise in AI, digital strategy, innovation and human–AI collaboration to explore the strategic, technical and governance considerations of agentic AI.
Combining academic rigour with practical application, the programme examines how organisations can design, test and prepare agentic AI initiatives for responsible piloting and scale while balancing autonomy, human oversight and organisational governance.
Who is the Agentic AI Programme 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 |
Meet the Agentic AI Programme faculty
Islem Rekik
Programme Director, Associate Professor in Computing, Imperial College London
Dr Islem Rekik is an award-winning AI researcher, educator, and advocate for inclusive innovation. She is an Associate Professor at Imperial College London’s Department of Com...
Christopher L Tucci
Professor of Digital Strategy and Innovation, Imperial College London
Christopher L Tucci, Co-Director (Education) for I-X, Imperial's new campus concept centred on AI/ML, data and digital technologies, serves as the Academic Director of the Cen...
Dr Tatiana Codreanu
Teaching Fellow, Centre for Languages, Culture and Communication, Imperial College London
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 tr...
Agentic AI Programme credentials
Certificate
Upon completion of the programme, you will be awarded a verified digital certificate of completion by Imperial College London.
Note: You will earn the Associate Alumni status upon successful completion of the programme. Visit the Associate Alumni page to find out more.
Associate alumni status
Access to the Imperial Alumni LinkedIn group | This group is solely for Imperial College Business School students, alumni and associate alumni. It is a useful place to ask questions, start discussions and stay connected with events and news from the School and our global community. |
Invites to relevant events and webinars | We offer a range of informal networking events as well as professional development events with thought-leadership discussions and guest speakers on topical issues. These events are a great way to enhance your professional reach and knowledge. |
Invites to worldwide alumni events | We host international alumni events with the Imperial College Business School staff and faculty, offering the chance to meet fellow alumni in your local area and remain connected to Imperial and our alumni community. |
Tuition fee benefits on future executive education learning for yourself and your colleagues | All Business School alumni are eligible for a 25 per cent tuition fee benefit on our portfolio of virtual, online and face-to-face short courses. Each year, up to three colleagues from your organisation may also enjoy this offer. |
FAQs
Programme
What is the Agentic AI Programme?
The Agentic AI Programme is a seven-week online agentic AI programme from Imperial College London. It equips participants with the frameworks and practical experience to identify high-value opportunities, design agentic AI systems, stress-test a working multi-agent workflow and evaluate readiness for responsible piloting and organisational scale.
Who is the Agentic AI Programme for?
The programme is designed for professionals responsible for evaluating, designing or implementing agentic AI initiatives within their organisations. It is suitable for business and functional leaders, vice presidents, heads and directors, transformation leaders, business analysts, founders, independent consultants, solution architects, engineering managers and technical leads.
What will I learn in the Agentic AI Programme?
You will explore agentic AI, AI systems, autonomy design, human–agent collaboration and responsible governance. The programme also examines agentic AI architectures, deployment readiness, organisational scale and strategies for adopting agentic AI across complex workflows.
Do I need coding experience to join the programme?
No. The programme is designed for both technical and non-technical professionals, and no prior coding experience is required.
What will I build during the programme?
Throughout the programme, you will progressively develop an Agentic AI Solution Blueprint for a real or supplied business opportunity. You will define the agent's autonomy requirements, create a first-release architecture and unit economics view while gaining hands-on experience in stress-testing a working multi-agent system. The capstone project culminates in an evidence-informed proposal for responsible piloting and organisational scale.
Learning journey
How is the Agentic AI Programme structured?
The seven-week programme is delivered through seven online modules that combine faculty insights, practical exercises, real-world examples and a hands-on capstone project. Together, the modules guide you from identifying agentic AI opportunities to designing autonomous workflows and architectures, testing agent behaviour, evaluating pilot readiness and planning for responsible scale.
What is the learning format of the programme?
The programme is completely online, offering you the flexibility to learn at your own pace.
What frameworks will I use during the programme?
The programme introduces practical frameworks and methods, including the Autonomy Spectrum, Agentic Architecture Blueprint, Unit Cost per Outcome, Fault-Injection and Guardrail Testing, the 5R Agentic Readiness Framework, Defection Risk Register and Dependency Pulse Check, and the Autonomy–Interconnectedness Governance Matrix, to design, test and prepare agentic AI systems for responsible piloting and scale.
Does the programme include real-world case studies?
Yes. Throughout the programme, you will examine real-world applications of agentic AI across industries, including customer service, cybersecurity, software development, logistics, autonomous mobility, financial services and legal technology, to understand practical implementation approaches and governance considerations.
How much time should I expect to commit each week?
The programme is designed to be completed over seven weeks with an expected commitment of four to six hours per week.
Certificate
What will I receive after completing the programme?
Upon successful completion of the programme, you will be awarded a verified digital certificate of completion from Imperial College London.
How long will I have access to the learning materials?
You will receive access to the programme videos and learning materials for up to 24 months from the programme start date.
Payment process
What is the fee for the programme, and what forms of payment do you accept?
The programme fee is shown at the top of this page.
Flexible payment options, group-enrolment benefits and a referral bonus are available.
Tuition assistance may be available for participants who qualify. Please contact your programme adviser to discuss.
What if I don’t have a credit card – is there another mode of payment accepted?
Yes. You can do the bank remittance via wire transfer. Please contact your programme adviser for more details.
Is there an option to make flexible payments for this programme?
Yes. Flexible payment options are available for this programme. We collaborate with loan partners to offer you flexible and transparent loan options. More information about loan financing is available here. Instalment payments are also available – you can find the options here.
Does the programme fee include taxes? Are there any additional fees?
Yes. The programme fee is inclusive of any taxes, with the exception of GST for Singapore residents.
Who will be collecting the payment for the programme?
Emeritus collects all programme payments, provides participant enrolment and programme support and manages learning platform services.
Are there any restrictions on the types of funding that can be used to pay for the programme?
Programme fees for Emeritus programmes with Imperial College London may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008 or similar types of military education funding benefits or (b) Title IV financial aid funds.
Refund policy
What is the programme refund and deferral policy?
For the programme refund and deferral policy, please click the link here.
Accessibility
How does Emeritus support accessibility for learners?
Emeritus is committed to making high-quality education accessible and affordable to individuals, companies and governments around the world. If you have questions about accessibility or would like to discuss available support options before enrolling, please contact accessibility@emeritus.org. For more information about our accessibility practices, please review our Accessibility Policy here.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 208 629 1765 (UK) / +1 315 509 2976 (US) / +65 3138 2451 (SG)
Flexible payment options available.
Starts on