Foundations of Artificial Intelligence Summer School
    In-person Program

    Foundations of Artificial Intelligence Summer School

    by King's College London

    Explore AI’s mathematical foundations, machine learning and responsible development through academic teaching, quizzes and a group project.

    Last verified: 9 Oct 2026Reviewed by:SSSean Stevens

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    Foundations of Artificial Intelligence at a glance: cost, dates and eligibility

    Current status

    Upcoming

    Eligibility

    Related-degree students, graduates or experienced professionals

    Age range / Year group

    Ages 18+

    Location / Region

    London, United Kingdom

    Cost

    £2,550; £3,525

    Duration

    2 weeks

    Format

    In-person

    Applications open

    9 November 2026

    Get next-cycle reminder
    Artificial IntelligenceComputer ScienceMathematics
    Accommodation: Optional single en-suite university rooms
    Certificate / Outcome: Completion certificate and academic transcript
    Sessions / cadence: Monday–Friday, 4–5 hours on campus daily
    Study commitment: 150 hours, including 45 teaching hours
    Assessment: Quizzes 40%; group project 60%
    Academic credit: 3–4 US credits or 7.5 ECTS
    Tutors / faculty: King’s academics

    Foundations of Artificial Intelligence summary

    King’s combines the mathematical foundations of AI with machine learning, neural networks and practical applications. Responsible development, bias and computational limitations are part of the academic focus.

    Expect active participation, independent study, quizzes and collaborative project work. The course is a stronger fit for students seeking technical understanding than for those mainly interested in trying consumer AI tools.

    What is Foundations of Artificial Intelligence Summer School?

    Foundations of Artificial Intelligence is a King’s College London summer school module exploring the methods and mathematical framework behind AI. It covers machine learning, neural networks, probability theory, game theory and logic programming, connecting these ideas to applications in healthcare, finance, sustainability and transportation.

    Students learn through academic teaching, independent study and group work, with quizzes and a group project providing formal assessment. The course also examines bias, fairness and computational limitations, encouraging students to understand both what AI can achieve and how to develop it responsibly.

    Why Succeed highlights Foundations of Artificial Intelligence

    • The curriculum connects AI methods to their mathematical foundations, helping students move beyond surface-level tool use.

    • Bias, fairness and computational limits are taught alongside applications, giving responsible development a clear academic role.

    • The assessment combines individual quizzes with substantial group project work.

    • University-standard assessment and a transcript offer a defined academic outcome, with potential credit transfer.

    Who is Foundations of Artificial Intelligence for?

    Best for

    Students with a quantitative or computing background who want to understand AI methods and practice collaborative academic work.

    Not ideal if

    You need a first introduction to coding or mainly want a relaxed summer experience with little independent study.

    Is Foundations of Artificial Intelligence worth it?

    This course can be worthwhile if you want a structured bridge between existing programming knowledge and the foundations of AI. Its combination of mathematical ideas, responsible development and assessed group work offers more academic depth than a brief introduction to AI tools.

    The main trade-off is the intensive workload and the need to arrive with relevant foundations already in place. Credit transfer could strengthen the value, but it depends on your home institution; judge the course first by its learning content and how it fits your degree.

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

    Cost and what is included

    £2,550; £3,525; includes Academic tuition., Course materials., On-campus Wi-Fi., Use of libraries, classrooms and catering facilities., Completion certificate., Extracurricular activities, excluding travel., Accommodation with the residential package..

    Accommodation

    Optional single en-suite university rooms

    Provider details

    Review the King's College London provider page and official sources before making a final decision.

    Dates and logistics

    2 weeks; London, 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.

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    How much preparation does Foundations of Artificial Intelligence need?

    Effort level

    High.

    Best started

    Begin preparation six to eight weeks before the session starts, allowing time for documents, travel planning and the pre-arrival mini-module.

    Main challenge

    Keeping pace with mathematical concepts while contributing effectively to group work.

    Typical preparation

    • Refresh Python, basic algorithmics and algebra before undertaking the required asynchronous mini-module.

    • Gather academic and English-language documents and prepare your personal statement.

    • Ask your home institution about credit transfer before committing to the course.

    • Plan accommodation, meal spending and any required UK entry permission.

    Useful if

    You want to connect existing Python knowledge with AI theory and responsible applications.

    What do students do on Foundations of Artificial Intelligence?

    You study AI’s mathematical and computational foundations, explore applications and examine responsible development. Quizzes and a collaborative group project turn that learning into assessed academic work.

    Step-by-step process

    1. 1

      Complete the asynchronous mini-module before arriving on campus.

    2. 2

      Participate in teaching on machine learning, neural networks and the mathematical framework of AI.

    3. 3

      Explore applications and discuss bias, fairness and computational limitations.

    4. 4

      Undertake independent study and collaborate on the group project.

    5. 5

      Complete quizzes and the group project for the final assessment.

    Foundations of Artificial Intelligence dates and deadlines

    Programme dates

    19-30 July 2027

    Upcoming

    Applications open

    9 November 2026

    King’s summer school opening date for the 2027 cycle.

    Upcoming

    Eligibility and requirements

    • Age 18 or older at the course start.

    • Current or former undergraduate student, or professional with substantial relevant experience.

    • Related background in mathematics, physics, engineering, sciences, computing or computational medicine.

    • Existing programming and coding foundation, including Python.

    • Basic understanding of algorithmics and/or algebra.

    • Minimum 2:1-equivalent academic grade.

    • English proficiency at CEFR C1 or equivalent.

    • Complete the asynchronous mini-module before campus arrival.

    How much does Foundations of Artificial Intelligence cost?

    Tuition-only fee

    £2,550 — Two-week course; 2026 reference fee.

    Funding or discounts

    • Residential package: £3,525 — Tuition and accommodation; 2026 reference fee.
    • Application fee: £65 — Non-refundable; partner-institution applicants are exempt under applicant guidance.

    What's included

    Academic tuition., Course materials., On-campus Wi-Fi., Use of libraries, classrooms and catering facilities., Completion certificate., Extracurricular activities, excluding travel., Accommodation with the residential package.

    How to apply to Foundations of Artificial Intelligence

    1. 1

      Complete your personal details in the undergraduate summer school application form.

    2. 2

      Select Foundations of Artificial Intelligence and choose the residential package if wanted.

    3. 3

      Provide a personal statement and evidence of academic eligibility, university enrollment and English proficiency.

    4. 4

      Pay the application fee and add its payment reference unless your partner-institution exemption applies.

    5. 5

      Review and submit the application; King’s states an assessment turnaround of five working days.

    6. 6

      If accepted, pay the course fee to confirm your place.

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    What does Foundations of Artificial Intelligence cover?

    The program covers the following focus areas.

    Machine learning and neural networks

    Explore fundamental AI technologies and the methods that underpin learning systems.

    Probability and game theory

    Study mathematical foundations that help explain AI predictions and decision-making.

    Logic programming

    Examine logic programming within AI’s fundamental computational framework.

    Responsible AI

    Consider algorithmic bias, fairness, responsible development and computational limitations.

    AI applications

    Explore applications in healthcare, finance, sustainability and transportation.

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

    What is a typical day on Foundations of Artificial Intelligence?

    A typical day during the program.

    Academic teaching

    Expect 4–5 hours on campus daily, usually 09:00–13:00 or 14:00–18:00.

    Independent and group work

    The 150-hour study commitment includes 45 teaching hours plus independent study and group work.

    Example social activities

    An example Monday–Thursday timetable places activities at 18:00–20:00, including a reception, walking tour, cinema and comedy.

    Who teaches on Foundations of Artificial Intelligence?

    King’s academics teach the summer school modules in disciplines where the university has expertise. Teaching emphasizes participation, collaboration and independent thought through formats such as lectures, workshops and seminars.

    Where do students stay on Foundations of Artificial Intelligence?

    Residential plan

    • University residence: Undergraduate residential students stay at Great Dover Street Apartments in London.
    • Private room: Single en-suite rooms have a shower, with linen and towels provided.
    • Kitchen and common spaces: The residence has shared kitchens, a gym, common rooms and study areas.
    • Residence security: King’s provides 24-hour security cover across its residences and campuses.

    Non-residential plan

    • Tuition-only option: Students can choose tuition without the residential package.
    • Campus access and activities: Tuition includes campus facilities and extracurricular activities, excluding activity travel.
    • Food access: Campus food outlets offer refreshments and meals; students should budget for food separately.

    Great Dover Street has refurbishment works during 2026/27, with possible noise disruption and room moves.

    What happens after Foundations of Artificial Intelligence?

    After completing this program, participants often pursue:

    Build a stronger understanding of AI methods and mathematical foundations.

    Develop a more responsible approach to AI limitations and deployment.

    Complete an assessed group project.

    Receive a completion certificate and academic transcript.

    Seek home-institution recognition of equivalent academic credit.

    Academic credit transfer requires approval from your home institution.

    Where does Foundations of Artificial Intelligence take place?

    The course requires campus attendance at King’s College London, whose summer teaching is generally based at Strand and Guy’s campuses. Optional undergraduate housing at Great Dover Street Apartments is about a ten-minute walk from Guy’s Campus and London Bridge station.

    Foundations of Artificial Intelligence FAQs

    It introduces AI foundations, but it requires existing programming and coding knowledge. Python and a basic understanding of algorithmics and/or algebra are expected.

    The course covers machine learning, neural networks, probability theory, game theory and logic programming. It also examines applications, bias, fairness and responsible AI development.

    Quizzes contribute 40% of the final assessment and a group project contributes 60%. Summer school students must also attend at least 80% of classes to pass.

    The module is comparable to a 15-credit King’s undergraduate module, typically equivalent to 3–4 US credits or 7.5 ECTS. Your home institution decides whether to accept transferred credit.

    Students must complete an asynchronous mini-module provided by the summer school tutors before arriving on campus. Existing Python and programming knowledge are also expected.

    The undergraduate residential package uses Great Dover Street Apartments. Students receive single en-suite rooms with a shower, linen and towels.

    Yes. King’s advises undergraduate students to allocate money for meals, travel around London and consumables. Extracurricular activities are included, but their travel costs are excluded.

    Alternatives to Foundations of Artificial Intelligence

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    Students drawn to games and creative computing.

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    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.

    Sources and verification

    Source types reviewed

    • Great Dover Street
    • Student Experience | Summer Programmes | King’s College London
    • Information for applicants | Summer Programmes | King’s College London
    • Summer at King's | Summer Programmes | King’s College London
    • Undergraduate Summer School | Summer Programmes | King’s College London
    • Summer School, Winter School and Bespoke Programming Terms and Conditions 2027
    • Foundations of Artificial Intelligence

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

    What we verified (on 9 Oct 2026)

    • Course requirements reviewed

    • Session dates cross-checked

    • Application opening verified

    • Reference fees distinguished

    • Assessment weights checked

    • Housing arrangements reviewed

    • Credit-transfer limits reviewed

    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.