Succeed
    NVIDIA® AI and Machine Learning Academy
    In-person Program

    NVIDIA® AI and Machine Learning Academy

    by iD Tech

    Build machine learning projects with Python, Linux and NVIDIA hardware. iD Tech’s academy combines computer vision, responsible AI design and a documented final project.

    Last verified: 7 Oct 2026Reviewed by:SSSean Stevens

    Get the full picture before you decide

    See Succeed's assessment of the programme, who it may suit, the estimated total cost, what applying involves and what is still to confirm.

    or let us know if .

    • 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.

    NVIDIA® AI and Machine Learning Academy at a glance: cost, dates and eligibility

    Current status

    Applications open

    Eligibility

    Beginner to advanced; international students welcome

    Age range / Year group

    Ages 13-18

    Location / Region

    Princeton; Cambridge; New York; Atlanta; Stanford; Pasadena; Seattle

    Cost

    From $5,299

    Duration

    2 weeks

    Format

    In-person

    Application deadline

    Rolling

    Save program
    Artificial IntelligenceComputer Science
    Language: English
    Class size: Small groups
    Accommodation: Overnight at most locations; optional intervening weekend
    Certificate / Outcome: NVIDIA certificate; iD Tech diploma and transcript
    Sessions / cadence: Monday-Friday across 2 weeks
    Tutors / faculty: iD Tech instructors; content from NVIDIA experts
    Take-home hardware: Jetson Orin Nano and developer kit

    NVIDIA® AI and Machine Learning Academy summary

    iD Tech’s NVIDIA academy turns AI concepts into working machine learning projects using Python, Linux and Jetson Orin Nano hardware.

    Students move from hardware setup and model training to a custom project, documentation, a video demonstration and a showcase.

    It suits students who want practical coding and computer vision experience, with attention to bias, false positives and responsible design.

    What is NVIDIA® AI and Machine Learning Academy?

    The NVIDIA® AI and Machine Learning Academy is an iD Tech program focused on building practical artificial intelligence and computer vision projects. Students combine Python and Linux with machine learning datasets and NVIDIA Jetson Orin Nano hardware. iD Tech instructors teach the course using content from NVIDIA experts.

    Assignment-driven workshops develop into a custom final project that students test, document and demonstrate. The curriculum also considers bias and false positives in model design. Campus recreation complements the technical work, and students take home their hardware and project files.

    Why Succeed highlights NVIDIA® AI and Machine Learning Academy

    • The curriculum connects Python, Linux and model training to a tangible hardware project.

    • Bias and false positives give students a practical reason to question how AI systems behave.

    • Documentation and a video demonstration make the final project easier to explain beyond the classroom.

    • Take-home hardware, project files and setup guides support continued experimentation.

    • The NVIDIA submission pathway gives the project a defined completion goal.

    Who is NVIDIA® AI and Machine Learning Academy for?

    Best for

    Students who want to build and explain a working machine learning project while exploring hardware, coding and responsible AI.

    Not ideal if

    You mainly want a broad introduction to technology without sustained coding, model testing and project documentation.

    Is NVIDIA® AI and Machine Learning Academy worth it?

    The academy offers a clear route from foundational coding to a project students can demonstrate and continue developing at home. Its strongest value is the combination of guided instruction, practical hardware and a documented output. It is most useful when the student wants to keep experimenting afterward.

    The fee makes this a substantial family investment, so the project experience should matter more than the certificate alone. NVIDIA recognition is conditional, and participation does not guarantee a college place or internship. The university setting also does not make this a university-sponsored course.

    Sean, founder of Succeed

    Sean

    Founder, Succeed

    Talk it through with Sean

    Want to talk it through?

    “I can help you compare the programmes you're considering, think through the practicalities and work out what makes sense for you.”

    20 minutes · No obligation to enrol

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

    Cost and what is included

    From $5,299; includes Assignment-driven workshops with iD Tech instructors., NVIDIA Jetson Orin Nano and developer kit to take home., iD Tech Academy diploma and course transcript., NVIDIA certificate for eligible students., USB containing course project files., Access to installation and setup guides..

    Accommodation

    Overnight at most locations; optional intervening weekend

    Provider details

    Review the iD Tech provider page and official sources before making a final decision.

    Dates and logistics

    2 weeks; Princeton; Cambridge; New York; Atlanta; Stanford; Pasadena; Seattle.

    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 NVIDIA® AI and Machine Learning Academy need?

    Effort level

    High within a compact, project-driven program.

    Best started

    Begin family planning a few weeks before registration opens, allowing longer for international travel arrangements.

    Main challenge

    Turning a workable idea into a tested model and a clear demonstration.

    Typical preparation

    • Try a short Python exercise using functions and conditional statements.

    • List a few real-world problems that an image or pose recognition model could address.

    • Think about the consequences of incorrect predictions and biased training data.

    • Discuss campus, overnight arrangements and the full booking budget with a parent or guardian.

    Useful if

    You want practical experience to test your interest in AI.

    What do students do on NVIDIA® AI and Machine Learning Academy?

    The sample curriculum moves from device setup and coding foundations to a custom machine learning project. Students train models, test their ideas and prepare work that can be demonstrated and submitted to NVIDIA.

    Step-by-step process

    1. 1

      Set up the Jetson Orin Nano and connect to it remotely using SSH in VS Code.

    2. 2

      Practice Python fundamentals and work with Linux and machine learning datasets.

    3. 3

      Collect data, train neural networks and refine classification models.

    4. 4

      Experiment with NVIDIA Jetson AI Lab and a language model.

    5. 5

      Choose a final-project idea, plan it and build a working version.

    6. 6

      Iterate, test and customize the project.

    7. 7

      Create documentation, record a video demonstration and prepare the NVIDIA submission portfolio.

    8. 8

      Showcase the final project and take the hardware home.

    NVIDIA® AI and Machine Learning Academy dates and deadlines

    Applications

    Rolling admissions

    Date not confirmed

    Registration opens

    8 November 2026

    Registration for Summer 2027 camps and academies.

    Upcoming

    Eligibility and requirements

    • Students ages 13-18.

    • Beginner to advanced skill levels.

    • International students are welcome.

    • Basic English reading, speaking and listening skills.

    How much does NVIDIA® AI and Machine Learning Academy cost?

    Program fee

    From $5,299 — Take-home Jetson Orin Nano and developer kit.

    Funding or discounts

    • Scholarships: Need-based — iD Tech identifies need-based scholarship support for this course.
    • Payment plan: 3% fee — Spread the remaining balance over installments.
    • Multi-course discount: $50 — Qualifying additional courses or siblings within the same term.
    • Friend referral: $25 credit — Each new referral also receives a $25 saving.

    What's included

    Assignment-driven workshops with iD Tech instructors., NVIDIA Jetson Orin Nano and developer kit to take home., iD Tech Academy diploma and course transcript., NVIDIA certificate for eligible students., USB containing course project files., Access to installation and setup guides.

    How to apply to NVIDIA® AI and Machine Learning Academy

    1. 1

      Choose the NVIDIA AI and Machine Learning Academy and your preferred campus.

    2. 2

      Contact an iD Tech Program Specialist if you need help choosing a location or registering.

    3. 3

      Use iD Tech’s official registration checkout to complete your booking.

    4. 4

      Review scholarship information or payment-plan terms if you need financial support.

    Next step with Succeed

    Interested in this programme?

    or let us know if .

    Succeed replies first, usually within a working day

    What does NVIDIA® AI and Machine Learning Academy cover?

    The program covers the following focus areas.

    Hardware and development setup

    Set up the Jetson Orin Nano and connect remotely using SSH in VS Code.

    Python and Linux foundations

    Practice Python functions and conditionals while learning to work in Linux.

    Computer vision and model training

    Collect datasets, train neural networks and refine image classification models.

    Responsible AI and experimentation

    Consider bias and false positives while experimenting with NVIDIA Jetson AI Lab.

    Final project and documentation

    Build, test and document a custom project with a video demonstration for NVIDIA submission.

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

    What is a typical day on NVIDIA® AI and Machine Learning Academy?

    A typical day during the program.

    Instruction

    The academy timetable starts instruction at 9:00 am, followed by lunch at noon.

    Exploration and lab work

    Campus activities begin at 1:00 pm, with instruction resuming at 2:00 pm.

    Residential routine

    Dinner and activities begin at 6:00 pm, supervised social time at 8:00 pm, and lights out at 10:00 pm.

    Course cadence

    Instruction spans two weeks, moving from coding foundations to final-project development.

    Who teaches on NVIDIA® AI and Machine Learning Academy?

    iD Tech instructors teach the course, with exclusive content from NVIDIA experts. The small-group format provides individual attention and allows students to learn at their own pace.

    iD Tech describes adult instructors, background and reference checks, and instructor training and certification.

    Where do students stay on NVIDIA® AI and Machine Learning Academy?

    Residential plan

    • Campus dorms: The general academy experience includes dorm stays and a 10:00 pm lights-out routine.
    • Dining-hall meals: The academy schedule describes campus dining-hall breakfast, lunch and dinner.
    • Supervised social time: The academy brochure describes supervision while students socialize in the evening.
    • Intervening weekend: Students can choose to stay the weekend between the two instructional weeks.

    Non-residential plan

    • Day option: The general academy format includes day participation alongside overnight options.
    • Campus learning: Course workshops in university-campus labs are balanced with outdoor and recreational activities.

    Overnight participation is offered at most locations, with an option to stay the intervening weekend.

    What happens after NVIDIA® AI and Machine Learning Academy?

    After completing this program, participants often pursue:

    A custom machine learning project and documented demonstration.

    NVIDIA AI Specialist certificate for eligible students.

    iD Tech Academy diploma and course transcript.

    Take-home hardware, project files and setup guides for continued practice.

    4,667 XP toward the iD Tech Pathway.

    A project can support an application narrative; it does not guarantee college admission or an internship.

    Where does NVIDIA® AI and Machine Learning Academy take place?

    The course lists Princeton, MIT Campus, NYU-Washington Square, Georgia Tech, Stanford, Caltech and UW Seattle. Students learn in university-campus labs, with campus exploration and recreational activities complementing the workshops.

    iD Tech delivers the program independently; the named universities are not program sponsors.

    NVIDIA® AI and Machine Learning Academy FAQs

    The course is designed for beginner to advanced students. Small classes provide individual attention and allow students to learn at their own pace.

    Students study Python, Linux, machine learning and computer vision using NVIDIA Jetson Orin Nano hardware. The sample curriculum includes neural networks, data classification and a custom final project.

    iD Tech instructors teach the course, which features exclusive content from NVIDIA experts. The course runs in a small-group setting.

    Students take home their NVIDIA Jetson Orin Nano and developer kit. They also receive project files on a USB and access to installation and setup guides.

    Students document their final project, record a video demonstration and prepare a portfolio for submission to NVIDIA. Eligible students receive the AI Specialist certificate after the project submission.

    The course page identifies need-based scholarships. iD Tech also describes partner-supported need-based and community scholarships; payment plans carry a 3% fee.

    iD Tech welcomes international students. Courses are taught in English, and students should be comfortable understanding instructions and communicating in everyday conversation.

    No. iD Tech delivers its programs at university locations, but the programs are not sponsored by or affiliated with those universities.

    Alternatives to NVIDIA® AI and Machine Learning Academy

    Compare these related technology and engineering options if you want a broader focus than machine learning hardware.

    Alternatives to NVIDIA® AI and Machine Learning Academy

    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 & verification

    Source types reviewed

    • Do you accept international students?
    • Sorry, this page doesn't exist.
    • Sorry, this page doesn't exist.
    • Sorry, this page doesn't exist.
    • Sorry, this page doesn't exist.
    • Does iD Tech offer tuition assistance?
    • When will registrations for Summer 2027 open?
    • iD Tech Official Brochure
    • Contact Us | iD Tech Phone Number & Email
    • Download a Brochure | iD Tech
    • NVIDIA® AI and Machine Learning Academy | iD Tech

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

    What we verified (on 7 Oct 2026)

    • Course identity confirmed

    • Age and skill levels reviewed

    • Course-specific fee checked

    • Registration timing reviewed

    • Certificate conditions reviewed

    • University affiliation clarified

    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.