Succeed
    In-person Programme
    Upcoming

    Artificial Intelligence Summer Course

    by Atlas Summer Courses

    A residential, tutorial-led AI course combining seminars, independent work and personalized feedback on machine learning, algorithms and ethical questions.

    Last verified: 30 Aug 2026Reviewed by:SSSean Stevens
    Artificial Intelligence Summer Course

    • What Succeed checks

      We review public program details such as eligibility, age range, cost, duration, location, format, accommodation, meals and application timing.

    • What Last verified means

      Last verified is the latest date Succeed checked the public details shown on this page. Program dates, prices and availability can still change.

    • How official sources are used

      Succeed uses official provider information where available, then rewrites it into a student-facing summary for comparison and planning.

    • Why some dates are reference dates

      If the current cycle is not available, Succeed may show the latest verified cycle dates so you can understand typical timing.

    • Succeed is independent from this provider unless a partnership is clearly stated.

    AI Summer Course at a glance: cost, dates and eligibility

    Current status

    Upcoming

    Eligibility

    Interest in AI; good English

    Age range / Year group

    Ages 16-17

    Location / Region

    Cambridge, United Kingdom

    Cost

    £5,495; £6,995; £7,995; £9,995

    Duration

    2 weeks

    Format

    In-person

    Next session

    27 June 2027 - 10 July 2027

    Save program
    Artificial IntelligenceComputer Science

    Class size: Up to 10 students

    Accommodation: Residential and non-residential

    Meals: Breakfast and dinner

    Outcome: Certificate and tutor recommendation

    Academic schedule: 18 seminar hours; 2 tutorial hours

    Independent study: Around 20 hours

    AI Summer Course summary

    Atlas Summer Courses combines AI theory with algorithm design, discussion and independent problem-solving in a university-style Cambridge environment.

    Students examine machine learning, neural networks, generative AI and ethical questions. Tutors adapt the syllabus to the group rather than following one fixed curriculum.

    The course suits students who want academic depth and personalized feedback, not simply an introduction to using consumer AI tools.

    What is Artificial Intelligence Summer Course?

    The Artificial Intelligence Summer Course is an academic summer program from Atlas Summer Courses. It explores machine learning, algorithms, neural networks, generative AI and the ethical implications of intelligent systems.

    Teaching combines small-group seminars, personalized tutorials and independent study in Cambridge. Students investigate technical ideas, design and test algorithms, discuss real-world applications and receive detailed feedback on independent assignments.

    Why Succeed highlights AI Summer Course

    • Small seminars and personalized tutorials provide more direct academic feedback than a lecture-led course.

    • The course balances technical AI concepts with ethical, social and real-world questions.

    • Two independent assignments give students meaningful experience of university-style preparation and discussion.

    • Residential and non-residential packages offer families a choice of campus experience and price point.

    • Students finish with a certificate, tutor feedback and a personalized letter of recommendation.

    Who is AI Summer Course for?

    Best for

    Students who enjoy computer science, mathematics, technology or problem-solving and want to understand how AI works beyond everyday tools.

    Not ideal if

    You want a fixed coding syllabus, a credit-bearing qualification or a low-cost introductory course.

    Is AI Summer Course worth it?

    The course can be worthwhile for a student seeking close academic feedback, independent study and a broad view of AI's technical and ethical dimensions. The small-group format and two tutorial-reviewed assignments offer more depth than passive lecture attendance.

    The main limitation is the substantial fee, especially for residential tiers, and the syllabus can change with the tutor and cohort. It is best treated as subject exploration and academic development rather than university credit or a guaranteed admissions advantage.

    A practical overview of cost, accommodation, meals, dates and provider details to review before deciding.

    Cost and what is included

    £5,495; £6,995; £7,995; £9,995; includes Interactive seminars, tutorials and workshops, Two tutor-reviewed independent assignments, Residential accommodation on eligible packages, Breakfast and dinner for residential students, Social activities and excursions where included, Completion certificate, Airport transfer and insurance on eligible packages.

    Accommodation

    Residential and non-residential

    Meals

    Breakfast and dinner

    Provider details

    Review the Atlas Summer Courses provider page and official sources before making a final decision.

    Dates and logistics

    2 weeks; Cambridge, United Kingdom.

    What to check before committing

    Confirm current dates, payment terms, travel arrangements, cancellation rules and what is included with the provider.

    Compare this program with similar options before deciding on dates, cost, format and fit.

    Compare with similar programs

    How much preparation does AI Summer Course need?

    Effort level

    High academic engagement.

    Best started

    Begin the application and travel planning two to three months before your preferred session; start pre-course preparation when the Welcome Pack arrives.

    Main challenge

    Balancing independent work with a full residential and cultural schedule.

    Typical preparation

    • Choose a preferred 2027 session and package before starting the application.

    • Draft a concise personal statement explaining your interest in AI and academic goals.

    • Review any pre-course reading and complete all onboarding tasks before travel.

    • International students should check UK entry requirements early enough to arrange a visa or ETA.

    Useful if

    You are comfortable discussing unfamiliar ideas and acting on detailed tutor feedback.

    What do students do on AI Summer Course?

    Students move between tutor-led seminars, independent preparation and personalized tutorials. The work combines technical exploration, critical discussion and reflection on progress.

    Step-by-step process

    1. 1

      Explore machine learning, algorithms, neural networks, generative AI and ethical questions.

    2. 2

      Discuss case studies and problems in six three-hour small-group seminars.

    3. 3

      Complete reading and independent work between taught sessions.

    4. 4

      Produce two essays or problem sheets for tutorial review.

    5. 5

      Discuss each assignment in a one-to-one or two-to-one tutorial.

    6. 6

      Use tutor feedback and a reflection session to evaluate progress and set goals.

    AI Summer Course dates and deadlines

    Session one

    27 June 2027 - 10 July 2027

    Two-week Cambridge course.

    Upcoming

    Session two

    4 July 2027 - 17 July 2027

    Two-week Cambridge course.

    Upcoming

    Session three

    11 July 2027 - 24 July 2027

    Two-week Cambridge course.

    Upcoming

    Session four

    18 July 2027 - 31 July 2027

    Two-week Cambridge course.

    Upcoming

    Session five

    25 July 2027 - 7 August 2027

    Two-week Cambridge course.

    Upcoming

    Session six

    1 August 2027 - 14 August 2027

    Two-week Cambridge course.

    Upcoming

    Eligibility and requirements

    • Aged 16-17 at the course start

    • Genuine interest in Artificial Intelligence

    • Good spoken and written English

    • No previous AI study required

    • Personal statement required

    • Guardian details required for applicants under 18

    How much does AI Summer Course cost?

    Program fee

    From £5,495 — Non-residential and residential packages are available.

    Funding or discounts

    • Non-residential: £5,495 — Teaching without accommodation.
    • Plus: £6,995 — Residential package with shared-bathroom options.
    • Superior: £7,995 — Residential package with a private bathroom.
    • Premier: £9,995 — Highest-priced residential package.
    • Deposit: From £1,295 — Required after an offer to secure the place.
    • Scholarships: None currently offered

    What's included

    Interactive seminars, tutorials and workshops, Two tutor-reviewed independent assignments, Residential accommodation on eligible packages, Breakfast and dinner for residential students, Social activities and excursions where included, Completion certificate, Airport transfer and insurance on eligible packages

    How to apply to AI Summer Course

    1. 1

      Select Artificial Intelligence, your preferred session and a package or accommodation option.

    2. 2

      Enter the student's contact details, country of residence and guardian information.

    3. 3

      Write a short English personal statement about subject interests, goals and achievements.

    4. 4

      Provide the student's current or most recent school, college or university details.

    5. 5

      Review the course, dates, package, fees and personal information before submitting.

    6. 6

      Wait for the admissions review and follow the offer instructions if accepted.

    7. 7

      Pay the required deposit to secure the place.

    What does AI Summer Course cover?

    The program covers the following focus areas.

    Machine learning

    Examine how systems find patterns in data and improve their performance.

    Algorithms and neural networks

    Explore techniques behind prediction, pattern recognition and intelligent decision-making.

    Generative and visual AI

    Investigate content generation, computer vision and current technical applications.

    Ethics and social impact

    Debate bias, responsibility, limitations and AI's effects on society.

    Independent problem-solving

    Develop and communicate ideas through essays, problem sheets and tutorials.

    Curriculum may be adjusted based on participant interests and current developments.

    What is a typical day on AI Summer Course?

    A typical day during the program.

    Small group seminars

    Discussion, case studies and activities provide 18 taught hours.

    Personal tutorials

    Two tutorial hours focus on assignments and detailed feedback.

    Private study

    Students prepare readings and complete essays or problem sheets independently.

    Residential day

    Teaching is balanced with workshops, excursions and supervised social activities.

    Who teaches on AI Summer Course?

    Experienced educators and subject specialists lead the course, drawing on work across academia, industry and education. Tutors design their own syllabi and use seminars plus one-to-one or two-to-one tutorials to provide personalized academic feedback.

    Tutors are confirmed closer to the summer, so previous profiles do not guarantee a particular teacher.

    Where do students stay on AI Summer Course?

    Residential plan

    • Cambridge accommodation: Students stay in single or twin rooms, depending on package.
    • Bathroom options: Shared and private bathroom packages are available.
    • Half-board meals: Breakfast and dinner are served at accommodation or local restaurants.
    • Pastoral support: On-course staff provide around-the-clock guidance and welfare support.

    Non-residential plan

    • Day option: Students can attend teaching and activities without residential accommodation.

    Room type depends on the selected package, and the non-residential option does not include accommodation.

    What happens after AI Summer Course?

    After completing this program, participants often pursue:

    Explore future study in AI, computer science or machine learning.

    Build analytical, computational and problem-solving skills.

    Use two assignments as evidence of independent academic engagement.

    Receive a completion certificate and detailed tutor feedback.

    Gain a personalized tutor recommendation for future academic steps.

    The course is generally not credit-bearing and does not carry University of Cambridge recognition.

    Where does AI Summer Course take place?

    The course is based in Cambridge, where Atlas Summer Courses hires college facilities for its summer programs. Students combine academic study with cultural activities and opportunities to explore the city's museums, historic streets, colleges and the River Cam.

    Atlas Summer Courses is an independent provider and is not affiliated with the University of Cambridge or its colleges.

    AI Summer Course FAQs

    No. The course has no formal subject entry requirements, and students do not usually need to have studied AI before. A genuine interest in the subject and good spoken and written English are expected.

    Potential topics include machine learning, algorithms, data, neural networks, generative AI, computer vision and AI ethics. The exact syllabus varies because tutors adapt it to their expertise and the group's interests.

    The published structure includes 18 hours of small-group seminars, two hours of tutorials and around 20 hours of private study across two weeks.

    The course-specific page states that seminars have up to 10 students. Tutorials are conducted one-to-one or two-to-one.

    Students complete two pieces of independent work, such as essays or problem sheets. Tutors evaluate and discuss the work during personalized tutorials.

    Students receive a certificate, detailed tutor feedback and a personalized letter of recommendation recognizing their academic engagement and progress.

    Residential packages use single or twin rooms, with shared or private bathrooms depending on tier. Residential students receive breakfast and dinner, while a non-residential option is also available.

    No. Atlas Summer Courses is an independent provider that hires Cambridge college facilities during the summer and states that it has no formal connection with the university or its colleges.

    Alternatives to AI Summer Course

    Compare these related technology and engineering programs if you want a different subject balance, location or teaching focus.

    Alternatives to AI Summer Course

    Save this program in Succeed to compare it with similar programs, dates, costs and formats in one place.

    Compare with other programs
    Sean Stevens

    Content reviewed by

    Sean Stevens

    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.

    View author page

    Sources and verification

    Source types reviewed

    • Atlas Summer Courses Brochures & Guides
    • Atlas Summer Courses | Airport Transfers and Travel Guide
    • Terms and Conditions for Courses | Atlas Summer Courses
    • Cambridge Summer School Ages 16-17 | Cambridge Summer Courses
    • Atlas Summer Courses Dates and Prices – Flexible Payment Plans
    • Artificial Intelligence Summer School Ages 16-17 | Cambridge Summer Courses
    • Search Results | Atlas Summer Courses
    • Articles | Atlas Summer Courses
    • Atlas Summer Courses Alumni Network
    • How to Apply for Atlas Summer Courses – Step-by-Step Guide
    • Atlas Summer Courses FAQs | Fees, Dates, Applications & Safety
    • Apply for Atlas Summer Courses
    • Artificial Intelligence | Atlas Summer Courses

    Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.

    What we verified (on 30 Aug 2026)

    • Course format checked

    • Age range confirmed

    • 2027 sessions reviewed

    • Package prices compared

    • Teaching structure verified

    • Application steps checked

    • Accommodation details reviewed

    • Policies and visa guidance checked

    How Succeed uses this information

    We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.