Live Online Programme
Artificial Intelligence and Entrepreneurship by Oxford Global Education
Build and grow your ideas in an AI-powered world
Learn to use artificial intelligence to discover opportunities, develop ventures and build practical systems that create value.
Artificial intelligence has lowered the cost of researching, creating and testing new ideas. The advantage now belongs to people who can identify worthwhile problems, understand customers and combine intelligent tools with sound entrepreneurial judgment.
Programme at a glance
Academic credibility
Learn from Oxford and Cambridge academics
The quality of a serious academic programme depends on the quality of its teaching.
Every lecture is delivered by an academic from the University of Oxford or the University of Cambridge. Participants learn from specialists capable of making sophisticated ideas accessible, engaging and relevant to a global audience.
Across the 6 weeks, faculty bring perspectives from artificial intelligence, entrepreneurship, economics, innovation, strategy, marketing, technology policy and responsible business. This multidisciplinary approach connects what AI can do with the more demanding question of where and how it should create value.
View full certificateAwarded by Oxford Global Education
Certificate of Excellence
Participants who meet the attendance and programme requirements will receive a Certificate of Excellence in Artificial Intelligence and Entrepreneurship from Oxford Global Education.
The certificate recognises active participation and successful engagement rather than enrolment alone. Requirements include attendance and completion of the final AI Venture Blueprint.
It is not a degree, university credit, professional qualification, or an award from the University of Oxford or the University of Cambridge.
The proposition
From possibility to enterprise
This is neither a technical machine-learning course nor a collection of temporary prompt-writing tricks.
It is a practical programme about using AI to find and develop genuine opportunities: researching markets, understanding customers, shaping useful offers, building efficient workflows and testing ideas before investing heavily in them.
Participants learn where AI can create leverage and where human qualities remain decisive—judgment, empathy, originality, responsibility and the ability to earn trust.
If AI makes it easier to build, what makes an idea worth building?
The curriculum
What you will study
Two connected areas of study move from understanding and applying artificial intelligence to identifying opportunities, validating demand and building an entrepreneurial plan.
Artificial Intelligence
Participants build a clear, non-technical understanding of modern AI and learn how to turn its capabilities into useful, responsible workflows for research, creation and enterprise.
Lecture 1AI: Capabilities, Limits and Opportunity
Understand how generative AI works, what current systems can and cannot do, where businesses are already creating value, and how to distinguish durable opportunities from hype.
Central question: Where can AI create genuine value?
Lecture 2Working Effectively with Generative AI
Learn how to frame problems, provide context, write useful instructions, compare outputs and improve results through disciplined iteration rather than relying on one-off prompts.
Central question: Good outputs begin with well-defined problems.
Lecture 3AI for Research and Market Intelligence
Use AI to investigate industries, customers, competitors and emerging trends while checking sources, testing assumptions and separating persuasive output from reliable evidence.
Central idea: How can AI accelerate research without weakening judgment?
Lecture 4AI for Ideas, Products and Prototypes
Generate and refine concepts, map user journeys, shape early offers and create rapid prototypes that make an idea easier to test before significant time or money is committed.
Central question: What is the fastest responsible way to make an idea testable?
Lecture 5AI for Content, Communication and Productivity
Build practical workflows for brand language, proposals, presentations, campaigns, planning and routine knowledge work while preserving a distinctive human voice.
Central question: Which work should AI accelerate, and which work should remain human?
Lecture 6Building Responsible AI Workflows
Combine tools into repeatable processes and examine privacy, copyright, bias, accuracy and accountability so that speed never replaces oversight.
Central question: How do you design AI into a business without losing control of the result?
Participants finish this part with a practical AI workflow they can adapt to a venture, small business, university project or professional goal.
Entrepreneurship
Participants then move from technological possibility to entrepreneurial action: finding worthwhile problems, understanding customers, testing demand and designing a venture that can create and communicate real value.
Lecture 7Finding Problems Worth Solving
Learn to observe friction, unmet needs and changing behaviour; distinguish an interesting idea from a valuable problem; and define the customer whose problem matters most.
Central idea: Are you in love with an idea, or committed to solving a problem?
Lecture 8Customer Discovery and Validating Demand
Design useful interviews, gather evidence from real behaviour, test assumptions and run small experiments before treating enthusiasm as demand.
Central question: What evidence would persuade you that customers truly care?
Lecture 9Value Propositions and Business Models
Clarify the outcome a venture promises, why it is meaningfully different, who pays, how value is delivered and which costs, partners and resources shape the model.
Central question: Why should this customer choose this solution now?
Lecture 10Building a Brand and Reaching Customers
Develop a credible position, a clear story and a practical route to market across content, partnerships, communities, direct sales and digital channels.
Central question: How will the right people discover, understand and trust your offer?
Lecture 11Operations, Finance and Intelligent Growth
Explore pricing, unit economics, simple forecasting, repeatable operations, useful metrics and the role AI can play in growing capacity without adding unnecessary complexity.
Central question: What must become repeatable before a venture can grow?
Lecture 12The AI Venture Blueprint
Bring together the problem, customer, value proposition, business model, route to market, responsible AI workflows and a focused 90-day action plan in one coherent venture blueprint.
Final question: What will you test, build and learn next?
Participants finish with an AI Venture Blueprint: a concise, evidence-led plan for developing an idea beyond the classroom.
Live learning
A live and interactive academic experience
Each lecture combines expert teaching with active participation: demonstrations, venture cases, market analysis, structured discussion, practical exercises and opportunities to question the faculty.
Participants investigate opportunities, challenge assumptions and learn from an international cohort bringing different industries, ambitions and cultural perspectives.
This is not a passive series of recorded presentations. It is a live academic experience designed to turn concepts into decisions, experiments and useful work.
01Understand.
02Discover.
03Build.
04Test.
Participant outcomes
What you will gain
Understand
- Recognise where modern AI can create business value
- Understand its limitations, risks and responsible uses
- Separate durable opportunities from technological hype
Discover
- Identify problems worth solving
- Research markets, customers and competitors
- Test assumptions with evidence and useful experiments
Build
- Design purposeful AI workflows
- Shape value propositions and business models
- Create prototypes, messages and routes to market
Lead
- Make considered decisions under uncertainty
- Use AI without outsourcing accountability
- Turn a venture idea into a focused 90-day plan
These capabilities can strengthen a new venture, an existing small business, a university project or an entrepreneurial role inside a larger organisation.
What is included
Your programme experience
12 live interactive lectures
12 hours of live teaching across 6 weeks, led exclusively by academics from the Universities of Oxford and Cambridge.
Activities and applied tasks
Practical activities during and between lectures apply the programme’s ideas to academic, professional and personal contexts.
Resources and guidance
Carefully selected readings, frameworks, exercises and academic guidance support learning throughout the 6 weeks.
Reusable frameworks for turning ideas into action
A practical collection of tools for researching opportunities, understanding customers, testing demand and building responsible AI-enabled ventures.
- The AI Opportunity Map
- The Market Research Prompt Library
- The Customer Discovery Guide
- The Evidence and Verification Checklist
- The Value Proposition Canvas
- The Business Model Framework
- The Go-to-Market Planner
- The Responsible AI Workflow Builder
Personal AI workflow
Each participant will design at least one practical workflow for research, customer insight, communication, content, planning or operations that can support a real entrepreneurial goal.
Final AI Venture Blueprint
A single written document, produced in the closing week, that sets out a problem, customer, value proposition, business model, route to market and responsible AI workflow as one concrete 90-day plan of action.
Eligibility and cohort
Who should apply
Students and young professionals aged 16 to 28 can apply from anywhere in the world.
- School and college students exploring enterprise
- University students developing projects or venture ideas
- Recent graduates and early-career professionals
- Young founders and small-business owners
No coding ability, business degree or existing venture is required.
What matters is curiosity, initiative and a willingness to test ideas against evidence.
Programme fee£380Apply for the Programme
- 6 weeks of teaching from 4 January 2027
- 12 live interactive lectures
- 12 hours of live academic teaching
- Venture activities and applied tasks
- Academic resources and supporting materials
- The AI Entrepreneurship Toolkit
- Guidance from the programme faculty
- Development of a personal AI workflow
- The final AI Venture Blueprint
- A Certificate of Excellence for eligible participants
Practical information
Frequently asked questions
Do I need previous experience with AI?
No. The programme begins with the essential foundations and does not assume technical knowledge or previous experience.
Do I need to know how to code?
No. Artificial Intelligence and Entrepreneurship is a practical business programme, not a coding or computer-science course.
Do I need an existing business idea?
No. You may develop an existing idea or use the programme to discover and test a new opportunity.
Who can participate?
The programme is open to students and young professionals aged 16 to 28 worldwide.
Who teaches the programme?
All lectures are taught by academics from the Universities of Oxford and Cambridge, participating through Oxford Global Education.
Is the programme fully online?
Yes. All 12 lectures are delivered live online, allowing participants to join from anywhere in the world.
When does the programme begin?
The programme begins on 4 January 2027 and runs for 6 weeks. Applications close on 30 November 2026.
How large is the cohort?
Each programme is limited to 50 participants so that live discussion, feedback and academic engagement remain meaningful.
How much time should I allow?
Participants attend two 60-minute live lectures each week. They should also allow time for short activities, venture development and the final AI Venture Blueprint.
Will I receive a certificate?
Participants who meet the attendance and programme requirements will receive a Certificate of Excellence in Artificial Intelligence and Entrepreneurship from Oxford Global Education.
Is the certificate awarded simply for enrolling?
No. The certificate reflects meaningful participation. Requirements include attendance and completion of the final AI Venture Blueprint.
What is the programme fee?
The full programme fee is £380 per participant.
Application
Apply for the programme
Applications close on 30 November 2026 and the cohort is limited to 50 participants. Complete the secure application form below; if it does not load, our admissions team is available by email or telephone.
Turn intelligent tools into entrepreneurial action
Artificial intelligence makes it possible to research, create and experiment with extraordinary speed. Entrepreneurship gives that capability direction: a worthwhile problem, a real customer and a responsible way to create value.
This programme equips participants with the understanding, frameworks and practical confidence to move from an idea to an evidence-led plan.
Discover. Build. Test. Learn.
Apply for Artificial Intelligence and Entrepreneurship