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    Online Programme

    IRIS Artificial Intelligence Course

    by Indigo Research

    A mentor-led AI research programme exploring machine learning, generative AI and ethics while guiding students towards an individual publication-ready paper.

    Last verified: 17 Aug 2026Reviewed by:BSBen Stacy
    IRIS Artificial Intelligence Course

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

    Current status

    Recently closed

    Eligibility

    Ambitious high school students

    Age range / Year group

    14-19

    Location / Region

    Online

    Cost

    $4,200

    Duration

    6 weeks

    Format

    Online group research course

    Next deadline

    Not announced · Next cycle not announced

    Get next-cycle reminder
    Artificial Intelligence

    Sessions / cadence: Two 3-hour classes weekly

    Mentor model: Faculty and PhD support

    Assessment style: Draft feedback, review and presentation

    Main deliverable / output: 3-6 page research paper

    Certificate: Signed completion certificate

    Latest verified cycle: Summer 2026

    Time-zone model: Multiple global session times

    IRIS Artificial Intelligence summary

    This is a fast-paced artificial intelligence research course built around an individual academic paper. Students explore areas including machine learning, data science, generative AI, natural language processing, computer vision and AI ethics.

    The programme combines subject teaching with research-method training, annotated bibliography work, writing workshops, peer review, individual draft feedback and a final presentation.

    It suits motivated beginners who want structured academic research experience. Prepared code sections make the course accessible to students without a programming background.

    What is IRIS Artificial Intelligence Course?

    The IRIS Artificial Intelligence Course is a research-focused track within Indigo Research's Intensive Research Program. Students examine current areas such as machine learning, data science, generative AI, natural language processing, computer vision, recommender systems and AI ethics.

    Indigo combines small-group teaching with a structured academic-research process. Students progress from introductory reading and question development to an abstract, annotated bibliography, full draft, peer review, individual instructor feedback and a final paper presentation.

    Why Succeed highlights IRIS Artificial Intelligence

    • Students follow a clear six-week progression from introductory reading to a final research paper and presentation.

    • The AI curriculum includes machine learning, generative AI, computer vision, recommender systems and ethics.

    • Prepared code sections allow students without previous programming experience to participate.

    • The programme combines faculty teaching, PhD teaching-assistant support, peer review and individual draft feedback.

    • Students can gain a signed completion certificate and become eligible for two transferable UCSB Extension credits.

    Who is IRIS Artificial Intelligence for?

    Best for

    Motivated students who want to explore AI through academic research and can sustain a demanding paper project.

    Not ideal if

    You want a light introductory coding camp, guaranteed publication or a course with little independent reading and writing.

    Is IRIS Artificial Intelligence worth it?

    The course can be worthwhile for a student who wants a structured introduction to AI research rather than lessons focused only on coding. Its strongest features are the defined paper pathway, small-group academic support and opportunity to practise research writing and presentation.

    The workload and fee require careful consideration, particularly because scholarships are not offered and publication is not guaranteed. The value depends on whether the student genuinely wants to complete a substantial individual paper and can attend the long live sessions consistently.

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

    Cost and what is included

    $4,200; includes 30+ hours of faculty-led lessons, Personalized PhD teaching-assistant support, Writing workshops and peer review, One-to-one instructor draft meeting.

    Dates and time commitment

    6 weeks; Two 3-hour classes weekly.

    Provider details

    Review the Indigo Research provider page and official sources before making a final decision.

    What the student gains

    Potential output: The main deliverable is an individual publication-ready artificial intelligence research paper.. Check whether feedback, certificate, recommendation or application evidence is included.

    Online support and safeguarding

    Students learn about publication routes and receive access to journal guidance. Publication is not guaranteed, and individual publication support may require a separate purchase.

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

    Compare with similar programmes

    How much preparation does IRIS Artificial Intelligence need?

    Effort level

    High.

    Best started

    Begin planning four to six weeks before a future cohort starts.

    Main challenge

    Moving from a broad AI interest to a focused, defensible research question.

    Typical preparation

    • Review the major AI topic options and note two or three areas that genuinely interest you.

    • Practise reading a short academic paper and summarising its research question, method and conclusion.

    • Check the published session times carefully because some options fall early or late in particular time zones.

    • Set aside regular independent time for reading, bibliography work, drafting and revision.

    Useful if

    You enjoy independent reading, academic writing and acting on detailed feedback.

    What do students do on IRIS Artificial Intelligence?

    Students move through a staged academic-research process, applying artificial intelligence subject learning to an individual paper.

    Step-by-step process

    1. 1

      Complete orientation, explore the platform and meet the professor.

    2. 2

      Read selected introductory papers with teaching-fellow support.

    3. 3

      Study core AI concepts and narrow a research question.

    4. 4

      Learn time management, note-taking, citation and research-paper conventions.

    5. 5

      Prepare an abstract and annotated bibliography.

    6. 6

      Write an introduction, outline and full first draft.

    7. 7

      Join writing workshops, peer review and an individual draft meeting.

    8. 8

      Present the project and submit the final paper.

    IRIS Artificial Intelligence dates and deadlines

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

    Summer AI sessions

    6 July-17 August 2026

    Artificial Intelligence Sessions 1-3 followed this shared programme period.

    Reference date

    Eligibility and requirements

    • Ambitious high school students aged 14-19

    • No previous programming experience required

    • No previous research experience required

    How much does IRIS Artificial Intelligence cost?

    Programme fee

    $4,200 — A payment plan is available.

    Funding or discounts

    • Scholarships: Not offered

    What's included

    30+ hours of faculty-led lessons, Personalized PhD teaching-assistant support, Writing workshops and peer review, One-to-one instructor draft meeting

    How to apply to IRIS Artificial Intelligence

    1. 1

      Open the application form on the official IRIS programme page.

    2. 2

      Select whether the applicant is a student or guardian.

    3. 3

      Enter the applicant's name, email address and country of residence.

    4. 4

      Provide a phone number, school name and expected high-school graduation year.

    5. 5

      Submit the form and schedule an optional introductory call if helpful.

    Learning format

    Teaching takes place in live online group classes twice each week, with each session lasting three hours. Students also complete preparatory reading, bibliography work, independent drafting, peer review and individual feedback activities across the research process.

    Published schedules cover multiple global time zones, but some local options run very early or late.

    Mentorship and feedback

    • AI teaching is led by an academic instructor.

    • Personalized support is available from a PhD teaching assistant.

    • Introductory reading includes teaching-fellow office-hour support.

    • Writing workshops include peer-review exercises.

    • Students discuss their full draft in a one-to-one instructor meeting.

    • Final projects receive feedback through presentation and discussion.

    Time-zone considerations

    • Session 1 classes follow a Tuesday and Thursday pattern.
    • Session 3 classes follow a Monday and Friday pattern.
    • Each live class lasts three hours.
    • Published times cover the Americas, Europe, Africa, Asia and Oceania.
    • Some locations have overnight or early-morning session times.

    Assessment style

    Progress is assessed through staged research outputs, workshop feedback, peer review, an individual draft discussion, a final paper and a presentation.

    • Research-question development
    • Abstract and annotated bibliography
    • Writing workshop participation
    • Peer review and revision
    • One-to-one full-draft discussion
    • Final paper submission and presentation

    Portfolio and outputs

    Main deliverable / output

    The main deliverable is an individual publication-ready artificial intelligence research paper.

    • Abstract and annotated bibliography

    • Individual 3-6 page research paper

    • Final peer presentation

    • Signed programme completion certificate

    • Potential conference or journal submission pathway

    IRIS Artificial Intelligence FAQs

    No. The course allows beginners to learn and apply prepared code sections to their research projects.

    Published topics include machine learning, data science, generative AI, deep learning, natural language processing, computer vision, recommender systems and AI ethics.

    Classes are held twice each week for three hours per session, giving six hours of live classes each week.

    Students develop an individual research paper. The programme is designed so most participants can finish a paper of three to six pages within the course.

    Tell the course administrator and professor in advance where possible. The administrator can provide the recording, homework and other instructions.

    Students learn about publication routes and receive access to journal guidance. Publication is not guaranteed, and individual publication support may require a separate purchase.

    Students can become eligible for two transferable credits from the UCSB Extension School.

    Recommendation letters are not guaranteed. Mentors may write them for highly engaged students who complete their papers.

    Alternatives to IRIS Artificial Intelligence

    Compare these published Succeed programmes if you want a different balance of artificial intelligence, software development or in-person computing experience.

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    Ben Stacy

    Content reviewed by

    Ben Stacy

    Co-founder, Succeed | Former secondary teacher and educational leader

    Ben works at the intersection of education, technology and school adoption, with expertise in how secondary schools evaluate data-driven tools and how education technology is used in practice.

    View author page

    Sources and verification

    Source types reviewed

    • Best AI Camps for High School Students
    • Indigo Research Intensive Seasonal Program IRIS | Indigo Research
    • IRIS Summer Class Schedule 2026
    • Indigo Research | 6-Week Research Intensive for HS

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

    What we verified (on 17 Aug 2026)

    • Official programme checked

    • AI curriculum reviewed

    • Class schedule verified

    • Fee details checked

    • Eligibility reviewed

    • Application process checked

    • Outputs and credits 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.