Application deadline
24 May 2026

Nova AI Product Launch guides students from problem discovery to a live AI app, website, or game through design thinking, team projects, and mentor feedback.
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Current status
Upcoming
Eligibility
Grades 9–12; no coding experience required
Age range / Year group
Ages 14-18
Location / Region
Online
Cost
From $4,499
Duration
5–15 weeks
Format
Online
Latest deadline
24 May 2026 · Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
Get next-cycle reminderNova AI Product Launch is Nova Scholar Education's guided program for developing an AI-powered app, website, video game, or other software product. Its curriculum combines artificial intelligence, product development, and user-centered design, drawing on Stanford's DESIGN 161: Advanced Product Design.
Students collaborate to investigate a problem, prototype a solution, and build and test a working product with instructor support. Both tracks support product launch, while Premium adds deeper development, patent filing, and optional competition preparation.
User interviews and problem validation give students a reason for building before they choose features.
Prototype development, user testing, and iteration connect design thinking to a working product.
The track structure distinguishes core launch support from additional one-on-one development and patent work.
Students retain ownership, making their finished product something they can continue developing.
Students who want guided experience turning a problem into a product and are comfortable collaborating, testing ideas, and revising their work.
You want sole control over a fixed project idea or prefer a course centered on programming theory rather than product development.
The strongest reason to consider Nova AI Product Launch is its support across the whole product process, from finding users to testing and launching a solution. That structure can be useful if you have enthusiasm but need help keeping a project feasible and moving forward.
Its value depends on how much you will use the mentoring and contribute to the team's work. Final ideas are team decisions, and a launch guarantee still depends on completing assignments and milestones, with app-store review affecting publication timing.

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Founder, Succeed
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A practical overview of cost, time commitment, provider details, student outcomes and online support to review before deciding.
Cost and what is included
From $4,499; includes 10 group sessions totaling 20 hours., App Store submission support in both tracks., Premium: 10 hours of one-on-one mentorship., Premium: patent filing and competition preparation support., Platform access and software tools..
Dates and time commitment
5–15 weeks; 10 × 2-hour; Monday/Thursday, 5:30–7:30 PM PT.
Provider details
Review the Nova Scholar Education provider page and official sources before making a final decision.
What the student gains
Potential output: The main output is a working AI-powered app or web product developed for launch.. Check whether feedback, certificate, recommendation or application evidence is included.
Online support and safeguarding
Both tracks include 10 sessions totaling 20 hours and App Store submission support. Premium adds 10 hours of one-on-one mentorship for deeper development, patent writing, and competition preparation.
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.
Compare with similar programsEffort level
Moderate, sustained project work.
Best started
Allow at least 3–4 weeks before your intended cohort start for admissions and pre-reading.
Main challenge
Turning user feedback into a manageable product scope.
List a few problems you care about and identify who experiences them.
Prepare to explain your interests and goals in the admissions interview.
Map session times against school commitments and reserve time for independent work.
Complete the pre-reading before your cohort begins.
Useful if
You want structure and feedback while building something you can demonstrate.
You work with a team and instructors to turn a validated problem into a usable AI product. The process moves through discovery, prototyping, development, launch, and improvement using real user feedback.
Interview potential users and research whether the problem is worth solving.
Define your audience and prototype an interface and user flow.
Build an MVP with AI capabilities using no-code or low-code tools.
Test the product, refine it with instructor feedback, and prepare it for launch.
Use feedback from the live product to prioritize improvements.
In Premium, work on patent filing and optional competition preparation.
Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
Application deadline
24 May 2026
Summer I 2026 — Standard
8 June-9 July 2026
Monday and Thursday sessions, 5:30–7:30 PM PT.
Summer I 2026 — Premium
8 June-30 July 2026
Monday and Thursday sessions, 5:30–7:30 PM PT.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 24 May 2026 | Local | Reference date | |
Summer I 2026 — Standard | 8 June-9 July 2026 | Local | Reference date | |
Summer I 2026 — Premium | 8 June-30 July 2026 | Local | Reference date |
High school students worldwide, Grades 9–12.
No prior coding experience or coursework required.
Interest in apps or solving problems with technology.
Computer with internet access.
Commitment to attend scheduled sessions.
Parental or guardian consent for students under 18.
Program tuition
From $4,499 — USD; tuition varies by track and duration.
Funding or discounts
What's included
10 group sessions totaling 20 hours., App Store submission support in both tracks., Premium: 10 hours of one-on-one mentorship., Premium: patent filing and competition preparation support., Platform access and software tools.
Choose the cohort and track that match your goals and schedule.
Complete the online application with your interests and goals, allowing 15–30 minutes.
If selected, attend a 30-minute interview with a Nova Admissions Officer.
Receive an admissions decision, normally within one week of the interview.
After acceptance, review the pre-reading and prepare to join your cohort.
Next step with Succeed
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Succeed replies first, usually within a working day
The program runs fully online in small groups of up to five students per mentor, with 10 group sessions totaling 20 hours and an additional 10 hours of one-on-one mentorship in Premium. Live mentoring is combined with independent project work; weekly commitment estimates range from 2–4 hours in the overview to 3–5 hours in the program FAQ.
Confirm the workload and session pattern for your chosen track before committing.
Mentors include graduate candidates, professors, and alumni from top-25 universities.
Product experts bring experience from Meta, Google, and NVIDIA.
Small groups have a maximum of five students per mentor.
Premium adds 10 hours of one-on-one development, patent, and competition support.
Students can email mentors between sessions.
Most cohorts use group chats for collaboration and updates.
A computer for development and online sessions.
Internet access.
Access to your own components for hardware-based IoT projects.
Progress is demonstrated through project milestones, mentor feedback, and user testing.
Main deliverable / output
The main output is a working AI-powered app or web product developed for launch.
An MVP prototype showing your interface and user flow.
Full ownership of student-created work.
Premium patent application and patent-pending support.
Optional Premium competition submission.
An official certificate after successful completion.
Compare related AI and computing programs by whether you want subject study, software development, or research mentorship.
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Best for
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One-on-one online research mentorship including artificial intelligence
Best for
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Content reviewed by
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.
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
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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.
Nova AI Product Launch
by Nova Scholar Education
May qualify for the £300 Succeed Programme Award.
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