Autumn 2026 Cohort · Limited to 30 Students

Cambridge AI Online Programme

Choose one of two ways to take part, and build a real AI background alongside a Cambridge AI scholar.

Standard Track: four intensive weeks, professor lectures + TA seminars, a showcase project + certificate.

Flexible Track: one hour a week, join anytime, pay per session. Complete the quarterly assessment for a certificate of completion.

For high school students, undergraduates planning to apply to graduate school, and anyone seeking a credential with real academic weight · Fully online · Taught in English

Two Ways to Take Part

Pick the pace that fits you

Both tracks are enrolling in parallel, with different session structure, class size and pricing — compare them below before deciding.

Standard Track Enrolling

Four intensive weeks, professor + TA

12 hours of professor lectures + 12 hours of TA seminars — complete a showcase project and certificate of completion within four weeks.

£2,500 / person · Small class of 30 · Fully online

View Standard Track Details →
Flexible Track Flexible

Quarterly, one hour a week

A lead professor sets the framework, with guest professors' focused sessions woven in — register for the full quarter, or join week by week.

£99 / person / session · Around 20 students · Fully online

View Flexible Track Details →
4week programme
24hours of instruction (12 professor + 12 TA)
30seats in this cohort
4student project tracks

Standard Track

Autumn 2026 Cohort · Professor Lectures + TA Seminars

When

Applications open September 2026
Classes begin the week of 12 October
Programme ends mid-November

Who It's For

High school students, or undergraduates planning to apply to graduate school

Format

Fully online · Taught in English
12 hours of professor lectures + 12 hours of TA seminars

Price

£2,500 / person

Book a Consultation

Standard Track Details

A complete loop, from classroom to output

Most online programmes at name-brand institutions are lecture-first, and students often walk away with little more than a certificate of participation. This programme is designed differently: ethics isn't a standalone chapter, it's the lens applied throughout. Click any section below for the specifics.

01

About the Programme

Professor lectures + TA seminars, four project tracks covering different academic backgrounds.

Professor-Led

12 hours of core professor lectures

The professor personally teaches the ethical frameworks and applications, focused on the core content and case breakdowns — these 12 hours aren't taken up by Q&A.

Cross-Disciplinary

Four project tracks, different backgrounds

Humanities, business, design, and law/policy each have a matching track. No coding background required to fully participate.

Small Class

30 students — the professor knows every one

A letter of recommendation carries weight because the professor genuinely knows each student's project — a small class size is what makes that possible.

TA Seminars

Plus 12 hours of TA-led seminars

Building on each week's professor lecture, close reading of cases and hands-on practice reinforce what's learned, with two rounds of written feedback throughout — complementing the professor's 12 hours.

02

The Professor

Taught personally by a Cambridge professor.

This programme is taught personally by a Cambridge Assistant Professor in Design — see this cohort's details for specifics.

03

Curriculum

Four weeks, one throughline: professor lectures + TA seminars each week, ethics and application interwoven.

3 hours of professor lectures + 3 hours of TA seminars each week, with ethics and application interwoven throughout. From week three on, the focus shifts noticeably toward "how do I finish my project."

Week 13H Professor + 3H TA

AI Foundations and Core Ethical Frameworks

  • What AI is, and how AI systems make decisions — a technical primer designed for every academic background, no prior knowledge required
  • Three core concepts — fairness, transparency, and privacy — each paired with a real research or design scenario, not pure theory
  • Introduction to the four project tracks; you start thinking about which one fits you
  • TA seminar: small-group discussion of the four tracks to help you narrow down your choice
Week 23H Professor + 3H TA

AI in Research and Creative Practice

  • AI assistance in qualitative and quantitative research: literature reviews, research method design
  • Case studies of AI applications in architecture and design
  • Every application immediately surfaces its ethical risk — for instance, AI makes literature reviews convenient, but it fabricates citations, which is a transparency problem
  • TA seminar: hands-on practice with this week's cases to reinforce the methodology
Week 33H Professor + 3H TA

Bias Detection and Critical Tool Use

  • Bias-detection methodology: how to audit an AI system
  • Critical use of AI tools: how to verify whether the citations and recommendations AI gives you are reliable
  • TA seminar: first drafts collected, first round of written feedback given live
Week 43H Professor + 3H TA

Policy, Governance, and Synthesis

  • The AI regulation and policy landscape
  • Discussion of originality and authorship
  • Comprehensive review: what each of the four project tracks still needs from the course, closing any gaps
  • TA seminar: polishing final-draft details, preparing to hand off to the professor
04

Student Projects

Four tracks — pick one and see it through, completing a showcase project within four weeks.

Every track draws on both the ethics and application threads, completed independently outside class with TA feedback. The common deliverable format is "one concrete analysis or piece of work + a reflection," so that in four weeks you produce something complete and genuinely showable.

Track One

AI Bias Audit

Calculate the difference in false-positive rates across groups, explain the fairness metric you chose and why, and propose improvements.

Case study: the COMPAS recidivism-risk algorithm. Used by US courts to predict a defendant's risk of reoffending; a ProPublica investigation found the system's "high risk" false-positive rate was markedly higher for Black defendants — the data is public.
Deliverable: a 2–3 page "AI Bias Audit Report" with comparison charts, methodology, and conclusions
Related weeks: Weeks 1 and 3
Track Two

AI Research Proposal Design

Define your own research question, use AI tools to help draft a literature review and methodology, then reflect on where AI genuinely helped and where it couldn't be trusted.

Case study: the effect of AI chatbots on teenage mental health. You'll design a first draft of your own survey or interview protocol.
Deliverable: a research proposal (research question + AI-assisted literature review + draft methodology) + a reflection
Related weeks: Weeks 2 and 3
Track Three

AI Creative Design Generation

Iterate repeatedly on prompts with an AI image tool, documenting what changed in each version and why.

Case study: a concept design for a community library's exterior, drawing on the professor's own architectural design case work.
Deliverable: 3–5 iterated images + a prompt log + a reflection on originality and authorship in AI-generated work
Related weeks: Weeks 2 and 4
Track Four

AI Policy Brief

Lay out the background of an incident, set out the positions of companies, regulators, and job applicants, and give your own policy recommendation.

Case study: an education provider's AI hiring-screening system was investigated for age discrimination and ultimately settled with an equal-rights organisation.
Deliverable: a 2-page standard policy brief (background + stakeholder positions + recommendation)
Related weeks: Weeks 1 and 4
05

Certificate and Recommendation

Walk away with three things: a certificate of completion, a professor's letter of recommendation (performance-dependent), and your complete project.

The exact name and wording of the certificate and recommendation letter are subject to the authorisation documents issued by Cambridge.

01

Certificate of Completion in Ethical AI for Research and Innovation

A certificate of completion issued at the college level. Awarded on completing the four-week programme and submitting your project-track assignment.

02

Professor's Letter of Recommendation

Written and signed by the professor based on your actual performance and output in the course. TAs compile all student projects for the professor in week four. Awarded to standout students — it isn't a standard part of every student's package.

03

Your Complete Project

The analysis report, research proposal, design work, or policy brief you independently complete over four weeks, along with your accompanying reflection and process notes. Ready to use directly in application materials.

Who It's For

This programme is for you if

  • You're a current high school student planning to apply to universities abroad
  • You're a current undergraduate planning to apply to a master's / graduate programme abroad
  • You want a high-value online certificate to strengthen your résumé or application materials
  • You want a genuine experience you can write into a personal statement, résumé, or research plan — not just a certificate of participation
  • You can follow lectures and participate in discussion in English, and are willing to put in time outside class on a project track

Hold Off, If

This programme isn't for you if

  • You just want a certificate and don't plan to invest time in a project
  • You're expecting course credit or an admissions boost — this programme doesn't provide either
  • You expect a letter of recommendation to be guaranteed — it isn't
  • You have a major exam or other high-intensity commitment coming up and can't commit to a steady weekly investment of time

Schedule

Autumn 2026 Cohort

Starting now

Enquiries and pre-registration open

Once you submit an enquiry, we'll send the full programme handbook, professor bio, and a sample certificate.

September 2026

Enrolment, payment, and paperwork

Confirm your seat, complete payment, and sign the recording and data-use disclosures. Enrolment closes once seats are filled.

Week of 12 October

Classes begin

The first live session. Professor lectures and TA seminars start the same week.

Mid-November

Programme ends

Submit your final draft, receive your certificate of completion and project materials, and the professor completes your letter of recommendation.

Flexible Track

Quarterly, one hour a week

Structured around a quarter (3 months), with a lead professor building the overall framework and different guest professors' focused sessions woven in throughout. Register for the full quarter, or join week by week — lighter-weight than the Standard Track.

Quarterly Lecture Series · Lead Professor + Guest Professors

Format

Fully online · Taught in English
One hour a week, a lead professor with guest professors woven in

Duration

About 12 weeks per quarter (3 months)
Register for the full quarter, or join week by week

Class Size

Around 20 students (to be confirmed)

Price

£99 / person / session (1 hour/session)
About £1,188 / person for the full quarter (12 sessions)

Book a Consultation

Flexible Track Details

Structure and Certification

Click any section below for the specifics.

01

Structure

One quarter, 12 weeks: a lead professor builds the framework, with guest professors' focused sessions woven in.

A lead professor builds the overall framework, with different guest professors teaching content from their own fields throughout the quarter. The specific lead professor, guest speakers, and schedule are subject to the university's confirmation (to be determined).

Week 1Kickoff

Course Introduction and AI Foundations

  • The lead professor (to be confirmed) walks you through the foundational framework for the quarter
Weeks 2–1110 weeks · Core Content

Led by the Lead Professor, with Guest Professor Sessions

  • Each week, a guest professor gives a focused talk connecting their own research field to AI, or unpacking relevant material from their own published work
  • Specific guest speakers and topics are to be determined
Week 12Wrap-Up

Review, Q&A, and Close

  • The lead professor walks you through a review of the quarter, with live Q&A
02

Topics of Reference

The range guest sessions might cover — specific topics and speakers are to be determined.

The following are for reference only — specific topics and speakers are subject to the university's confirmation (to be determined).

What Is AI

Foundational AI literacy and technical principles, for every academic background.

Building Generative AI Products

Understanding the construction logic and use cases of generative AI from a product perspective.

AI Research Foundations and Ethics

An in-depth look at AI-related research methods and ethical questions.

03

Certification

Attendance alone isn't enough — a certificate requires passing an assessment or written reflection.

Attendance alone doesn't earn you a certificate

Each quarter ends with an assessment: 10 objective questions (out of 100 points, 40 to pass).

A passing score earns you that quarter's certificate of completion directly; if you don't pass, you can submit a written reflection ("What I Took From This Course") instead — passing that also earns you the certificate.

Certificate: "Certificate of Participation" (working title)

The certificate's exact name, wording, and issuance are subject to Cambridge's final review (to be determined).

FAQ

Questions worth asking upfront

Do I need a coding background?

No. The technical-foundations portion in week one is designed for every academic background. Of the four project tracks, only some involve using tools — none require you to write code.

What language is the course taught in?

The professor teaches entirely in English. We provide pre-class materials and after-class support in Chinese, but you'll need to participate in English during class discussion. IELTS 5.5 or an equivalent level is recommended.

Does everyone get a letter of recommendation?

No. The letter is written by the professor based on your actual output, for standout students. We won't promise one to everyone — that's precisely what gives it value.

What do the TAs actually do?

TAs lead an additional 12 hours of small-group seminars, building on each week's professor lecture with close reading of cases and hands-on practice, collecting first drafts and giving a first round of written feedback in week three, and compiling final drafts to hand off to the professor in week four. The professor's 12 hours stay untouched by this.

Is there a recording? What if I miss a session?

Recordings are provided for playback, with availability specified in the pre-course information packet. That said, live participation factors into the letter of recommendation, so attending live is recommended where possible.

Can this guarantee admission or an application boost?

No. Any programme claiming to guarantee admission is worth being skeptical of. What this course gives you is a genuine learning experience and a showable piece of work — how you use that in your applications depends on your overall materials.

Does the course carry academic credit?

No credit is awarded. This is an academic-enrichment programme that issues a certificate of completion, not credit toward any degree or university course.

30 Seats This Cohort

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