Executive education AI courses from Oxford, MIT, LSE and Cambridge run from 6 weeks to 6 months and cost £2,450 to £20,000. They're built to help you lead AI, and several end in a business case or roadmap. If you'd rather build, Agent Accelerator takes 4 weeks and costs £1,000 +VAT. You build working AI agents for your own role, in live online workshops, and you don't need to code.
If you're comparing university AI courses for business leaders, work out first what you want to be able to do when the course ends. Here are six of the best known, side by side with Agent Accelerator.
Six executive education AI courses compared on length, fees and format
Figures are from each programme's own page or its delivery partner's page, with links at the end of this guide. Fees are list prices, in each programme's own currency.
| Course | Length | You finish with | Fee | Format |
|---|---|---|---|---|
| Oxford Saïd, AI Programme | 6 weeks, 7-10 hours a week | A certificate, with building a business case as an aim of the assignments | £2,450 | Recorded modules, plus one or two live sessions that don't count towards your grade |
| Kellogg, AI Strategies for Business Transformation | 9 weeks, 4-6 hours a week | A capstone project and an AI transformation roadmap | $3,300 | A module opens each week; live webinars are optional and recorded |
| MIT Sloan, AI: Implications for Business Strategy | 6 weeks, 6-8 hours a week | A certificate of completion | $3,850 | Online, self-paced within weekly deadlines |
| London Business School, The Business of AI | 10 weeks, 4-5 hours a week | An e-certificate, after assignments | £2,450 | Pre-recorded lectures, plus an optional weekly live session with a Learning Manager |
| LSE, AI Leadership Accelerator | 6 months, 5-10 hours a week plus live sessions | Four written pieces: a board memo, a business case, a change plan and a playbook | £7,995 | Weekly live classes, recorded, plus 12 months of 1:1 coaching |
| Cambridge Judge, AI Leadership Programme | 4 months: two 5-day blocks in Cambridge and a 6-week online module | A practical AI strategy and a certificate | £20,000 | In person plus live online |
| Agent Accelerator | 4 weeks, about 28 hours, 3 live sessions a week including optional guest talks, plus your own building between them | Working AI agents on your own tools and data, plus a certificate | £1,000 +VAT | Live online classes, all recorded: 7 workshops with James McAulay and a demo day, optional guest talks, coaching in breakout rooms, weekly checkpoints, office hours and sessions with people in your role |
Agent Accelerator gets you to agents doing real work in your own role within 4 weeks. The six university courses take from 6 weeks to 6 months, and you finish with a certificate or a written plan.
Each university figure is the weekly time the school states, multiplied by its weeks, and it includes reading and assignments. Agent Accelerator's about 28 hours assumes you attend every session and spend about an hour building between them.
Executive education AI courses teach you to lead AI
LSE says its accelerator is "built for leaders who direct AI rather than build it". Kellogg's course spends time on ethics and governance, and London Business School says its course is "focused on creating value in your business through strategic implementation". Cambridge's programme is aimed at senior executives aligning AI with business strategy and managing its risks.
On the four shorter online courses, the weekly work is mostly reading, recorded lectures, quizzes, discussion posts and written assignments.
Agent Accelerator is for people who want to build agents for their own role
Agent Accelerator starts from the jobs in your own role, and you build agents that do them from the first week. You won't work on a side project or write a plan. Each workshop is an hour of teaching, then you build together, live.
- Week 1: your second brain, safety and your tools. You build a folder of context about you and your work that any agent can read, with your first agent running on top of it, then connect it to the two or three tools you use most.
- Week 2: reusable skills and always-on agents. You turn the jobs you repeat into named skills, then set up agents that run on a schedule, such as a morning briefing.
- Week 3: agent teams and building software. You hand work to subagents, have them review each other, and build working software with a coding agent.
- Week 4: rolling out to your team, then demo day. You grow your second brain into one your whole company can share, and on the final Friday the cohort shows what it's built.
Four weeks after starting, people who had mostly used AI as a chatbot are now able to demonstrate agents doing real jobs, and many weren't technical when they began. Some of what they've built:
- At Connectd, CEO Roei Samuel has three scheduled agents, including one that reads his exec Slack channels at 8am and writes up customer risks, wins and blockers.
- Also at Connectd, COO Claudia built a skill that reads Notion roadmaps and builds the deck for stakeholders. Read the Connectd case study.
- At Koru Kids, the Operations Director built a timesheet app that bills into Xero. The first working version came out of an 80-minute live workshop. Read the Koru Kids case study.
James McAulay has trained 700+ people from 250+ companies to build agents, after ten years as CEO of Encore Musicians. In the October 2026 cohort, 39 people answered the end-of-course form. Their answers:
- an NPS of 92, and a course rating of 4.8 out of 5
- 41% rated it exceptional value for money, and 46% rated it great
- a median of 4.7 hours saved a week
- a median of 3 scheduled, proactive agents per participant
- all 39 still using something they'd built after the course ended
Leslie McArdle, VP Marketing at VitaMojo, said: "I've done a number of AI courses but this one has been the most hands on and practical". You can read reviews from past cohorts.
Beyond the workshops, you get:
- optional weekly guest talks from people at companies such as Granola, ElevenLabs and Fin (Intercom)
- department sessions with people in similar roles, to see the agents they've built and copy what works
- lifetime access to the recordings, build guides and Skills Library, with updates as the tools change
- a course rebuilt before every cohort, because the tools change too fast for a recording to stay current
- coaching in the workshop breakout rooms, with private coaching available as an add-on
- office hours and a private community for when you get stuck
- a certificate with its own verification page, once you've finished the weekly build checkpoints
- a full refund if you complete the programme, attend every session (recordings count), finish the weekly checkpoints and aren't satisfied, as long as you ask within 14 days of the final session
You can do it in Claude, ChatGPT or Copilot. You'll need a paid plan, from £20 a month on Claude or ChatGPT, and a laptop you can install integrations on.
Case studies of AI-native firms led to better results in a Harvard and INSEAD experiment
Most people stuck with AI know roughly how it works, but can't see where it fits in their own job. Researchers at INSEAD and Harvard Business School call this the mapping problem, and they tested it on 515 startups in a three-month accelerator.
Every startup got the same technical AI training and API credits. Half got case studies showing how AI-native firms had reorganised around AI, while the other half got general entrepreneurship cases. The first group found 44% more uses for AI, completed 12% more tasks, were 18% more likely to get paying customers and generated 1.9x the revenue on average. Having a technical founder made no significant difference to the effect. It's a working paper about startups, so it isn't a promise about your company or a study of James's course.
Agent Accelerator's guest talks give you the same kind of look inside other companies, with speakers showing how they use AI day to day.
When a university AI course is the better choice
A university course is probably the right call if you need the name on your CV, or you're setting AI strategy and want the frameworks for it. LSE also includes 12 months of 1:1 coaching, and Cambridge gives you time in person. Agent Accelerator has coaching in the workshop breakout rooms, with private coaching as an add-on.
If you want something working in your job by the end of the month, read the "You finish with" column before you look at the fees. Then ask two more questions:
Who'll answer your questions? On a recorded course, they go to a discussion board or an optional live session. On Agent Accelerator you can ask the person teaching, about the thing you're building that week.
What happens after the last week? An agent running on a schedule keeps working after the course ends, while a business case still needs someone to act on it.
If you're buying for a team, you can enrol everyone in the cohort, or book a private bootcamp in your office
You can send your whole team on the cohort at reduced team pricing, which starts at 10 seats. They'll learn alongside people from other companies.
Or James can run a private bootcamp for your company: in person at your office, hybrid or online. It can be any length from half a day to two days, for any size of group. It's built on the tools your team already uses, and your team finishes with agents running and a written list of what to build next. You can see what's covered on the team training page.
Questions about alternatives to university AI courses
What is a practical alternative to executive education AI courses from Oxford, MIT, LSE or Cambridge?
Agent Accelerator is a practical alternative if you want to build rather than lead. It takes 4 weeks against their 6 weeks to 6 months, and costs £1,000 +VAT against £2,450 to £20,000. You build working AI agents for your own role in live online workshops, and you don't need to code.
How much do the LSE and Cambridge AI courses cost?
LSE's AI Leadership Accelerator is £7,995, and Cambridge Judge's AI Leadership Programme is £20,000, not including travel or accommodation. Both are longer. LSE includes 12 months of 1:1 coaching, and Cambridge includes two 5-day blocks in person.
Do you get a certificate from Agent Accelerator?
Yes. Finishing the weekly build checkpoints earns a certificate with its own verification page. It doesn't carry a university's name, so if that's what you need, a university course is the better fit.
Can you get a refund on Agent Accelerator?
Yes, on the live cohort. Complete the programme, attend every session (recordings count) and finish the weekly checkpoints, and if you aren't satisfied you get a full refund. Ask within 14 days of the final session.
Book your seat on the next Agent Accelerator cohort
New cohorts start roughly every two months. You can see what the four weeks cover, or take the self-paced version if no date suits you. To book, use the button below.
Sources, checked 5 November 2026: Oxford Saïd, Kellogg, MIT Sloan, London Business School, LSE, Cambridge Judge.
Tagged: ai-courses, executive-education