Application deadline
1 November 2026
Regular application round for Winter 2027.

by Hinksey Labs
AI Explorers introduces AI project building through expert mentorship and a preliminary independent project that students can develop further.
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Current status
Applications open
Eligibility
High school students
Age range / Year group
Ages 14+
Location / Region
Online
Cost
$850 by the priority deadline; $950 regular
Duration
4 weeks
Format
Online
AI Explorers is Hinksey Labs' introductory AI project track, built around creating preliminary independent work.
Students receive academic mentorship while learning how to build with artificial intelligence. It suits students seeking a manageable first project they can develop further.
AI Explorers is Hinksey Labs' introductory program for building projects with artificial intelligence. Its focus is a preliminary independent AI project that students can continue developing afterward.
The program combines small-team learning with mentorship from Ivy League and Oxbridge PhDs, MScs, and MBAs. Hinksey Labs, founded by Oxford scholars, positions the track around practical project work rather than a business research paper.
A defined foundational project gives students a concrete goal for introductory AI learning.
Teams of four to seven offer a small-group setting alongside independent project work.
The named mentor qualifications make the academic support model easier to assess.
The preliminary project can provide a starting point for further development.
Students curious about building with AI who want a foundational project and academic mentorship.
You want an advanced finished product or a guaranteed recommendation letter.
AI Explorers is worth considering if you want a guided introduction that leads to work of your own. Its small-team model and academic mentorship give the project a clearer structure than studying AI without a defined goal.
The intended output is preliminary, so treat it as a foundation for further learning. A certificate can document participation, but recommendation letters depend on performance and mentor discretion, and university admission is not guaranteed.
A practical overview of cost, time commitment, provider details, student outcomes and online support to review before deciding.
Cost and what is included
$850 by the priority deadline; $950 regular; includes Two live hours per week, Mentorship from Ivy League and Oxbridge PhDs, MScs, and MBAs, Independent foundational AI project, Certificate of achievement.
Dates and time commitment
4 weeks; 2 live hours per week.
Provider details
Review the Hinksey Labs provider page and official sources before making a final decision.
What the student gains
Potential output: The main output is an independent foundational AI project that students can develop further.. Check whether feedback, certificate, recommendation or application evidence is included.
Online support and safeguarding
The program lists mentorship from Ivy League and Oxbridge PhDs, MScs, and MBAs.
What to check before committing
Confirm current dates, session schedule, payment terms, cancellation rules, support expectations and what output or certificate is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsEffort level
Moderate for an introductory project program.
Best started
Begin application preparation three to four weeks before the priority deadline.
Main challenge
Turning an interest in AI into a focused preliminary project.
Gather your resume and grade transcript.
Draft a motivation statement within the 300-word limit.
Discuss parental consent and collect income documentation if seeking need-based aid.
Identify an AI project interest you can explain clearly.
Useful if
You want an initial project you can keep developing.
You build a fundamental understanding of AI project development through live learning and academic mentorship. The central task is creating an independent preliminary project you can build on afterward.
Develop a foundational understanding of building projects with artificial intelligence.
Work with academic mentors in a small-team learning setting.
Create an independent foundational AI project.
Application deadline
1 November 2026
Regular application round for Winter 2027.
Programme dates
January 2027
Winter 2027 cohort start month.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 1 November 2026 | Local | Upcoming | Save deadline |
Programme dates | January 2027 | Local | Upcoming |
High school students aged 14 and above.
Grades 9-12 are the target school stages.
Students from around the world may apply.
Students under 18 need parent or guardian consent.
Applications are reviewed holistically.
Application fee
Free
Funding or discounts
What's included
Two live hours per week, Mentorship from Ivy League and Oxbridge PhDs, MScs, and MBAs, Independent foundational AI project, Certificate of achievement
Prepare your resume, grade transcript and motivation statement of up to 300 words.
Add an optional recommendation letter and income documentation if seeking financial aid.
Complete the official form and select AI Explorers.
Provide personal, parent, school and academic details, then submit your application.
Follow the application, interview and decision stages.
Next step with Succeed
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AI Explorers combines two live hours per week with small teams of four to seven students across four weeks. Students create an independent foundational AI project with academic mentorship.
Mentorship from Ivy League and Oxbridge PhDs, MScs, and MBAs.
Small-team learning with four to seven students.
Recommendation letters depend on outstanding performance and mentor discretion.
Main deliverable / output
The main output is an independent foundational AI project that students can develop further.
Certificate of achievement.
Recommendation letter for outstanding students at mentors' discretion.
Compare these options if you want an AI course, individual research mentorship or a software-focused summer experience.
An online course focused on artificial intelligence
Best for
Students comparing a subject course with a preliminary project track
One-to-one online research mentorship
Best for
Students considering individual research mentoring
A summer program in software development and gaming
Best for
Students interested in broader software and gaming study
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Co-founder, Succeed | Founder, Immerse Education (2012–2026)
Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
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AI Explorers
by Hinksey Labs
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