Succeed
    AI Scholars Live Online
    Online Program

    AI Scholars Live Online

    by Inspirit AI

    AI Scholars combines live AI teaching with Python practice and a mentor-led social good project. Students build a custom app and present their work.

    Last verified: 10 Oct 2026Reviewed by:SSSean Stevens

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    AI Scholars Live Online at a glance: cost, dates and eligibility

    Current status

    Closing soon

    Eligibility

    Grades 9–12 or equivalent

    Age range / Year group

    Ages 14-18

    Location / Region

    Online

    Cost

    $1,400

    Duration

    25 hours

    Format

    Online

    Application deadline

    15 October 2026

    Save deadline
    Artificial IntelligenceComputer ScienceEthicsMedicineFinance
    Sessions / cadence: 10×2.5h; weekly/daily; 2–4h presentation prep
    Mentor model: Small groups; advertised 5:1 ratio
    Assessment style: Coding, project work and presentation
    Main deliverable / output: AI project and deployed custom app
    Certificate: Inspirit AI certificate of completion
    Time-zone / scheduling model: Pacific Time; fixed cohort schedules
    Latest verified cycle: Fall 2026–Spring 2027

    AI Scholars Live Online summary

    AI Scholars introduces AI concepts through live discussion, Python exercises and practical app building.

    The first half develops foundations; the second focuses on a mentor-led social good project, deployment and a final group presentation.

    It suits students who want structured technical practice and collaboration, with project paths connecting AI to healthcare, misinformation, sustainability and finance.

    What is AI Scholars Live Online?

    AI Scholars Live Online is Inspirit AI’s project-based artificial intelligence bootcamp. Graduate-student instructors from Stanford, MIT and other universities teach AI foundations through live discussion and Python coding exercises.

    Students move from machine learning, neural networks, computer vision and Natural Language Processing into a collaborative AI for Social Good project. With mentor guidance, they develop a custom app, test their work and present it to families. Inspirit AI operates independently and is not an official Stanford University academic program.

    Why Succeed highlights AI Scholars Live Online

    • The sequence connects introductory AI concepts to a deployed app, giving students a concrete reason to use their coding skills.

    • Small-group project work adds instructor guidance and peer collaboration to the technical exercises.

    • Project tracks connect AI to specific problems such as deepfake detection, wildfire risk and medical imaging.

    • A final presentation asks students to explain their methods and results rather than simply finish a notebook.

    • Beginner and advanced cohorts offer different levels of technical challenge.

    Who is AI Scholars Live Online for?

    Best for

    Students who want guided Python practice, an introduction to AI and a collaborative project they can explain and demonstrate.

    Not ideal if

    You want individual research supervision throughout; the main project is completed in a small group.

    Is AI Scholars Live Online worth it?

    AI Scholars can be worthwhile when live guidance and a clear project sequence would help you move beyond watching tutorials. Its practical value comes from coding, testing an AI system and explaining your contribution to a finished group project.

    The group format gives you collaborators but less individual ownership than a one-to-one project. Treat the certificate and college preparation workshops as supporting benefits, and judge the experience by what you can build and explain afterward.

    Sean, founder of Succeed

    Sean

    Founder, Succeed

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    20 minutes · No obligation to enrol

    A practical overview of cost, time commitment, provider details, student outcomes and online support to review before deciding.

    Cost and what is included

    $1,400; includes 25 hours of live teaching., Graduate-student instructors and mentor-led group project guidance., Extra special sessions and student help., All teaching materials., Optional Python preparation resources., Learning portal access with coding notebooks and solutions., 50+ AI research talks and four additional portal projects., College and career preparation resources., Certificate of completion..

    Dates and time commitment

    25 hours; 10×2.5h; weekly/daily; 2–4h presentation prep.

    Provider details

    Review the Inspirit AI provider page and official sources before making a final decision.

    What the student gains

    Potential output: The main output is a mentor-led AI for Social Good project culminating in a custom deployed app.. Check whether feedback, certificate, recommendation or application evidence is included.

    Online support and safeguarding

    Check how online sessions are supervised, how mentor communication works, and what support route exists if the student needs help.

    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.

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    How much preparation does AI Scholars Live Online need?

    Effort level

    Moderate, with a more concentrated pace in daily cohorts.

    Best started

    Four to six weeks before your chosen cohort, allowing 1–2 weeks for admission and optional Python preparation.

    Main challenge

    Understanding model results well enough to explain your own contribution.

    Typical preparation

    • Review the optional Python and AI basics videos before class.

    • Refresh algebra and practice explaining a simple data chart.

    • Convert every class time to your local time zone before choosing a cohort.

    • Read the project options and identify your top three preferences.

    Useful if

    You learn best by building something with instructor guidance.

    What do students do on AI Scholars Live Online?

    You learn AI concepts through interactive teaching and Python exercises, then apply them to a mentor-led group project. The process moves from understanding a problem and its data to testing a model, deploying an app and presenting the results.

    Step-by-step process

    1. 1

      Submit your top three social good project preferences before the course.

    2. 2

      Explore AI foundations, machine learning, computer vision, language models and AI agents.

    3. 3

      Practice Python through individual coding exercises and mini-projects.

    4. 4

      Work with your instructor and group to explore data and develop an AI system.

    5. 5

      Evaluate results, iterate on the system and discuss ethical implications.

    6. 6

      Deploy the project app and prepare your portfolio.

    7. 7

      Give an 8–10-minute group presentation to families.

    AI Scholars Live Online dates and deadlines

    Application deadline

    15 October 2026

    Winter 2026 application deadline.

    Upcoming
    Save deadline

    Fall 8

    11 October-13 December 2026

    Sundays, 8:00–10:30 a.m. Pacific Time.

    Upcoming

    Fall 9

    13 October-15 December 2026

    Tuesdays, 4:30–7:00 p.m. Pacific Time.

    Upcoming

    Winter 1

    19-30 December 2026

    Daily, 8:00–10:30 a.m. PT; no class 24–25 December.

    Upcoming

    Winter 2

    19-30 December 2026

    Daily, 12:30–3:00 p.m. PT; no class 24–25 December.

    Upcoming

    Winter 3

    19-30 December 2026

    Daily, 7:00–9:30 p.m. PT; no class 24–25 December.

    Upcoming

    Winter 4

    26 December 2026-5 January 2027

    Daily, 8:00–10:30 a.m. PT; no class 1 January.

    Upcoming

    Winter 5

    26 December 2026-5 January 2027

    Daily, 12:30–3:00 p.m. PT; no class 1 January.

    Upcoming

    Winter 6

    26 December 2026-5 January 2027

    Daily, 7:00–9:30 p.m. PT; no class 1 January.

    Upcoming

    Spring 1

    14 January-18 March 2027

    Thursdays, 4:00–6:30 p.m. Pacific Time.

    Upcoming

    Spring 2

    15 January-19 March 2027

    Fridays, 7:00–9:30 p.m. Pacific Time.

    Upcoming

    Spring 3

    16 January-20 March 2027

    Saturdays, 8:00–10:30 a.m. Pacific Time.

    Upcoming

    Spring 4

    16 January-20 March 2027

    Saturdays, 12:30–3:00 p.m. Pacific Time.

    Upcoming

    Spring 5

    17 January-21 March 2027

    Sundays, 8:00–10:30 a.m. Pacific Time.

    Upcoming

    Spring 6

    17 January-21 March 2027

    Sundays, 12:30–3:00 p.m. Pacific Time.

    Upcoming

    Eligibility and requirements

    • High school students in Grades 9–12 or equivalent.

    • No prior programming or computer science experience required.

    • Proficiency in algebra is generally expected.

    • Students outside the United States may participate.

    • Eighth graders and rising freshmen need prior programming experience.

    • Advanced cohorts support students with prior programming or AI experience.

    How much does AI Scholars Live Online cost?

    Program fee

    $1,400 — All-inclusive fee, including teaching materials.

    Funding or discounts

    • Financial aid: Need-based assistance — Request an application from admissions@inspiritai.com; assistance is limited.
    • Payment plans: Installments available — The terms permit a partial payment followed by a balance payment.

    What's included

    25 hours of live teaching., Graduate-student instructors and mentor-led group project guidance., Extra special sessions and student help., All teaching materials., Optional Python preparation resources., Learning portal access with coding notebooks and solutions., 50+ AI research talks and four additional portal projects., College and career preparation resources., Certificate of completion.

    How to apply to AI Scholars Live Online

    1. 1

      Choose a cohort whose published Pacific Time schedule fits your commitments.

    2. 2

      Submit the official application through Inspirit AI’s linked Paperform portal.

    3. 3

      Request a financial aid form from admissions@inspiritai.com if needed.

    4. 4

      Allow approximately 1–2 weeks for an admission decision.

    5. 5

      If accepted, use the emailed payment link and follow the enrollment instructions.

    6. 6

      Set up the class tools, review optional preparation and submit project preferences.

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    Learning format

    The program has ten live online classes of 2.5 hours each, delivered through Zoom with instructor-led breakout rooms; fall and spring cohorts meet weekly, while winter cohorts meet daily with holiday breaks. Most work happens in class, with no assigned homework and usually 2–4 additional hours for final presentation preparation.

    Optional preparation videos, advanced content and bonus review sessions support additional practice.

    Mentorship and feedback

    • Graduate-student instructors from Stanford, MIT and other universities lead teaching.

    • An instructor guides each small group's social good project.

    • Students process data, build models and analyze results with mentor support.

    • Experienced programmers are grouped with students of similar backgrounds.

    • Extra student help and special sessions are included.

    • A Program Manager coordinates the main Zoom room and session logistics.

    Time-zone considerations

    • All published class times use Pacific Time; convert each date locally.
    • Fall cohorts meet on Sundays or Tuesdays.
    • Spring cohorts meet on Thursdays, Fridays, Saturdays or Sundays.
    • Winter cohorts meet daily, with the listed Christmas or New Year breaks.
    • Students outside the United States may participate.

    Tech requirements

    • Join live classes through Zoom.

    • Set up Google Colab using the enrollment instructions.

    • Set up Piazza as directed before the first session.

    • Use Python notebooks for coding and project work.

    Assessment style

    Students demonstrate progress through coding exercises, mentor-guided project development and a final group presentation.

    • Complete hands-on Python exercises and mini-projects.
    • Test models, analyze results and iterate on the project.
    • Develop and deploy a custom AI app.
    • Present the group's work for 8–10 minutes to families.

    Portfolio / outputs

    Main deliverable / output

    The main output is a mentor-led AI for Social Good project culminating in a custom deployed app.

    • A project portfolio showing the group's technical work.

    • An 8–10-minute final group presentation.

    • An Inspirit AI certificate of completion.

    • A policy or career brief on the future-of-work track.

    AI Scholars Live Online FAQs

    No prior programming or computer science experience is required. The course introduces Python, while advanced cohorts offer more challenging work for experienced students; proficiency in algebra is generally expected.

    Students join a main Zoom room coordinated by a Program Manager, then use smaller breakout rooms for interactive teaching, coding exercises and instructor-led group projects.

    Most work is completed during class, and homework is not assigned. Students usually spend 2–4 additional hours preparing their group presentations toward the end.

    Students submit their top three social good project preferences before the course. Inspirit AI tries to match students to their interests, so a particular project is not guaranteed.

    Yes. International students may participate, and all published class times use Pacific Time, so families need to convert them to their local time.

    Inspirit AI sends a certificate of completion in the weeks after the program. An instructor recommendation is discretionary.

    No. Inspirit AI runs the program independently, although its teaching team includes graduate students from Stanford, MIT and other universities.

    The terms provide a 100% refund for cancellation at least 21 days before the program starts and 50% at least seven days before it starts. No refund is available after that point.

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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.

    View author page

    Sources & verification

    Source types reviewed

    • AI for High School Students - Work on Programming Projects — Inspirit AI
    • Artificial Intelligence High School Learning Portal — Inspirit AI
    • Terms — Inspirit AI
    • Frequently Asked Questions (FAQ) — Inspirit AI
    • AI for High School Students - Join The AI Scholars Program — Inspirit AI

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

    What we verified (on 10 Oct 2026)

    • Application deadlines checked

    • Cohort schedules reviewed

    • Eligibility and prerequisites reviewed

    • Program fee and aid checked

    • Project outputs reviewed

    • Refund terms 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.