Succeed
    In-person Programme

    Artificial Intelligence

    by National Student Leadership Conference

    A hands-on pre-college AI programme combining Python, machine learning projects, industry insight and leadership development.

    Last verified: 4 Aug 2026Reviewed by:SSSean Stevens
    Artificial Intelligence

    • What Succeed checks

      We review public programme 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. Programme 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.

    Artificial Intelligence Programme at a glance: cost, dates and eligibility

    Current status

    Past

    Eligibility

    High-school students

    Age range / Year group

    14-18

    Location / Region

    Washington, DC; San Francisco, CA

    Cost

    $4,395

    Duration

    9 days

    Format

    Residential, in-person

    Next deadline

    Not announced

    See similar programmes
    Artificial IntelligenceCoding & AIComputer Science

    Accommodation: Supervised campus dormitories

    Meals: On-campus meals included

    Latest verified cycle: Summer 2026

    Main output: Team social impact project

    College credit: Optional separate AU course

    Artificial Intelligence Programme summary

    A residential pre-college programme where students explore AI and machine learning through Python coding, model-building and team challenges.

    Students investigate computer vision, natural language processing and neural networks, then apply their learning to a social impact project.

    It suits students seeking practical technical exploration alongside industry visits, career guidance, campus life and leadership development.

    What is Artificial Intelligence?

    The Artificial Intelligence programme is a residential pre-college experience from the National Student Leadership Conference. It combines Python-based AI projects, interactive workshops and team challenges with an introduction to how intelligent systems learn, adapt and make decisions.

    Students explore computer vision, natural language processing and neural networks while developing a project intended to address a social-impact challenge. Leadership workshops, guest speakers and location-specific trips connect technical learning with careers and the wider consequences of AI.

    Why Succeed highlights Artificial Intelligence Programme

    • Students build and debug Python projects rather than only discussing AI concepts.

    • The curriculum connects machine learning with computer vision, language processing and neural networks.

    • A team social impact project asks students to apply technical learning to a meaningful problem.

    • Industry speakers and trips provide context beyond the classroom.

    • Leadership workshops broaden the experience through communication, resilience and empathy.

    Who is Artificial Intelligence Programme for?

    Best for

    Students who want a structured introduction to AI through coding, collaborative projects and a residential university experience.

    Not ideal if

    You want a low-cost online course, advanced independent research or a programme focused solely on technical instruction.

    Is Artificial Intelligence Programme worth it?

    The programme can be worthwhile for students who value a broad, practical introduction to AI alongside campus living, industry exposure and leadership development. Its project-based structure offers more active exploration than a lecture-only course.

    The limitation is cost: the experience is a substantial investment, and optional college credit requires a separate payment. Students seeking deep research supervision or formal academic credit within the core programme should compare alternatives carefully.

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

    Cost and what is included

    $4,395; includes Supervised campus housing, On-campus meals, Course materials and academic expenses, Trips, tours and activities, Transportation for off-campus programme events.

    Accommodation

    Supervised campus dormitories

    Meals

    On-campus meals included

    Provider details

    Review the National Student Leadership Conference provider page and official sources before making a final decision.

    Dates and logistics

    9 days; Washington, DC; San Francisco, CA.

    What to check before committing

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

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

    Compare with similar programmes

    How much preparation does Artificial Intelligence Programme need?

    Effort level

    High

    Best started

    Begin planning two to three months before your preferred session, allowing time for enrolment, travel, payment and any scholarship application.

    Main challenge

    Applying unfamiliar AI concepts through Python-based project work.

    Typical preparation

    • Review foundational Python syntax and practise working with simple data sets.

    • Choose one real-world AI application you would like to investigate.

    • Discuss travel, residential arrangements and the full budget with a parent or guardian.

    • If seeking funding, assemble financial, academic and recommendation materials well ahead of the scholarship cycle.

    Useful if

    You have basic coding confidence and enjoy collaborative problem-solving.

    What do students do on Artificial Intelligence Programme?

    Students move from foundational AI concepts into coding labs, engineering challenges and a collaborative social impact project, supported by leadership and career-focused activities.

    Step-by-step process

    1. 1

      Build an AI toolkit covering core concepts, applications and programming tools.

    2. 2

      Write and debug Python code using libraries such as Keras and TensorFlow.

    3. 3

      Explore pattern recognition, natural language processing and neural networks.

    4. 4

      Design, train and refine models that recognise patterns or predict outcomes.

    5. 5

      Work in a team to develop an AI social impact project.

    6. 6

      Meet guest speakers and join location-specific industry and sightseeing trips.

    7. 7

      Complete workshops on communication, resilience, empathy and leadership.

    Artificial Intelligence Programme dates and deadlines

    Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.

    Applications

    Rolling admissions

    Accepted while space or waitlist capacity remained

    Reference date
    Get next-cycle reminder

    Eligibility and requirements

    • Ages 14-18

    • Current high-school students

    • At least one high-school year completed

    • Attendance allowed through summer after graduation

    • Academic excellence and leadership ability encouraged

    How much does Artificial Intelligence Programme cost?

    Residential tuition

    $4,395 — Same published fee at both 2026 locations

    Funding or discounts

    • Summer scholarship: Typically $500-$1,000 — Financial need required
    • Payment plan: Monthly payments — Available under published cycle terms
    • Optional college credit: $1,044 — Separate one-credit online course

    What's included

    Supervised campus housing, On-campus meals, Course materials and academic expenses, Trips, tours and activities, Transportation for off-campus programme events

    How to apply to Artificial Intelligence Programme

    1. 1

      Open the official NSLC online enrolment portal.

    2. 2

      Create an NSLC ID or retrieve your existing ID.

    3. 3

      Enter the student’s birth date, grade and other requested details.

    4. 4

      Choose an available Artificial Intelligence location and session.

    5. 5

      Complete the online application and pay the required deposit.

    6. 6

      If seeking funding, enrol first and then submit the separate scholarship application.

    What does Artificial Intelligence Programme cover?

    The programme covers the following focus areas.

    AI foundations

    Explore core AI applications, concepts and programming tools.

    Machine learning models

    Design, train and refine models that recognise patterns and predict outcomes.

    Language and neural systems

    Investigate natural language processing, networks and neural-network concepts.

    Python coding labs

    Write and debug code with Keras and TensorFlow libraries.

    Responsible AI impact

    Apply technical learning to a team project addressing social impact.

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

    Who teaches on Artificial Intelligence Programme?

    Career workshops are led by alumni and graduate students from institutions including Stanford, MIT and Harvard. Guest speakers from industry and research provide additional practical perspectives, while Inspirit AI supports the programme’s project-based interdisciplinary AI education.

    Past guest-speaker organisations include IBM, Cloudflare, the FBI and Stanford Artificial Intelligence Laboratory.

    Where do students stay on Artificial Intelligence Programme?

    Residential plan

    • Campus housing: Students live in supervised university dormitories.
    • Room arrangement: Rooms are shared with one or two roommates.
    • Meals: On-campus meals are provided through campus dining services.
    • Supervision: Team Advisors live on student floors and accompany activity groups.
    • Campus experience: Students use university classrooms and learn to navigate campus life.
    • Trips and activities: Tuition includes programme trips, tours and activities.

    Students are generally housed with one or two roommates on a floor with others in their age range.

    What happens after Artificial Intelligence Programme?

    After completing this programme, participants often pursue:

    Use completed coding projects to discuss academic interests and skills.

    Explore whether AI, computer science or machine learning suits future study.

    Draw on the residential experience in application essays and interviews.

    Continue into more advanced Python, data science or AI project work.

    Optionally complete a separate one-credit American University course.

    The core residential programme does not automatically award college credit.

    Where does Artificial Intelligence Programme take place?

    The latest verified programme ran at Georgetown University in Washington, DC, and the University of California, Berkeley in the San Francisco Bay Area. Campus-specific trips combined professional visits with local sightseeing, including IBM and the FBI in Washington and Cloudflare, KOS AI and Stanford Artificial Intelligence Laboratory in California.

    The National Student Leadership Conference operates the programme; attendance does not imply university admission or sponsorship.

    Artificial Intelligence Programme FAQs

    Students explore foundational AI, Python programming, machine learning, computer vision, natural language processing and neural networks through workshops and practical challenges.

    Yes. Students build Python-based projects and work in teams on a social impact project that applies their new AI skills.

    No formal prerequisite is published. Some familiarity with basic Python may make the fast-paced coding workshops easier to navigate.

    Yes. Residential tuition covers supervised campus housing and on-campus meals, alongside academic materials, trips, tours and activities.

    Team Advisors accompany smaller student groups during programme activities and serve as Resident Advisors on student floors. An administrative team also lives on site.

    Campus dining services can accommodate dietary allergies and restrictions. Families should complete the dietary-preference information in the student profile.

    Not automatically. Students may separately enrol in a one-credit American University online course completed outside the residential programme dates.

    Trips vary by campus. Previous examples include IBM and the FBI in Washington, and Cloudflare, KOS AI and Stanford Artificial Intelligence Laboratory in California.

    Alternatives to Artificial Intelligence Programme

    Compare these related programmes if you want a different balance of AI, software development, research or career exploration.

    Alternatives to Artificial Intelligence Programme

    Engineering Taster Course
    Recently closed

    Compact Cambridge engineering taster course

    Engineering
    3 Aug 2026
    From £595
    14-18
    Cambridge
    In-person

    Best for

    Students wanting a brief technical experience

    View details

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

    Compare with other programmes
    Sean Stevens

    Content reviewed by

    Sean Stevens

    Co-founder, Succeed | Founder, Immerse Education (2012–2026)

    Sean works at the intersection of academic enrichment, programme 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

    • ARTI CA by NSLC - Flipsnack
    • ARTI GU by NSLC - Flipsnack
    • NSLC Online Enrollment
    • Discover Top Summer Programs in San Francisco for Students
    • Top Georgetown Summer Programs: Unlock Your Potential
    • Youth Leadership Programs | National Student Leadership Conference
    • Frequently Asked Questions | National Student Leadership Conference
    • Summer Program Scholarships | National Student Leadership Conference
    • Artificial Intelligence | National Student Leadership Conference

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

    What we verified (on 4 Aug 2026)

    • Programme identity checked

    • Activities and curriculum reviewed

    • Eligibility checked

    • Session dates verified

    • Tuition matched by campus

    • Accommodation and meals reviewed

    • Scholarship terms checked

    • Application process 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.