Application deadline
29 November 2026
Future final deadline listed in the application dates document.
Online Programme
AI Scholars
by Veritas AI
Veritas AI Scholars is an online AI and machine-learning programme where students learn Python fundamentals and build a guided group project.
Last verified: 26 Jun 2026Reviewed by:Succeed Editorial
Online Programme
AI Scholars
by Veritas AI
Veritas AI Scholars is an online AI and machine-learning programme where students learn Python fundamentals and build a guided group project.
Last verified: 26 Jun 2026Reviewed by:Succeed Editorial
Key facts
Current status
Applications open
Eligibility
Grades 9-12
Age range / Year group
Grades 9-12
Location / Region
Online
Cost
$2490
Duration
25 hours
Format
Live online
Artificial IntelligenceCoding & AIComputer ScienceResearch MethodsTechnology
Language: English
Sessions / cadence: 2.5 hours per session
Mentor model: 5:1 project ratio
Assessment style: Group project presentation
Main output: Group AI project
Credit option: UCSD credit eligible
Latest verified cycle: 2026 cohorts
TL;DR
Veritas AI Scholars is an introductory artificial-intelligence programme for students who want structured AI foundations before more independent research or advanced project work.
Students learn Python, machine-learning concepts and applied AI through live online lectures, code walkthroughs, hands-on small-group work and a guided group project.
It suits students who want a fast-paced but supported route into AI, especially if they learn well through examples, coding practice and mentor-led project work.
What is the Veritas AI Scholars programme?
Veritas AI Scholars is an online programme from Veritas AI for students who want to learn the fundamentals of Python, machine learning and artificial intelligence. The programme is positioned as a practical foundation in AI, with students moving from data science basics into neural networks, NLP, image classification and AI ethics.
The practical experience combines live online instruction, code walkthroughs and small-group project work. Students build a guided group project, which makes the programme more applied than a purely lecture-based AI course.
Why Succeed highlights this
The programme gives a clear 10-session pathway from Python and data science basics into neural networks, CNNs, NLP and AI ethics.
It includes a defined group project output, so students have something tangible to discuss after the course.
The format combines lectures with small-group hands-on sessions rather than relying only on passive online classes.
The 5:1 group project ratio and mentor-led support make it more structured than many self-paced AI courses.
Successful completers may be eligible for a UCSD Extended Studies credit pathway, with separate enrollment steps.
Who should consider this?
Best for
Students who want a guided introduction to AI and machine learning through live online teaching, coding examples and a group project.
Not ideal if
You already want one-to-one independent research, a solo paper or guaranteed publication support; Veritas AI places those aims in other tracks.
Is it worth it?
Veritas AI Scholars can be worth considering if a student wants a structured, mentor-supported AI foundation and is ready for a fast-paced online course. The strongest value is the combination of Python, machine-learning concepts and a defined group project rather than a general tech taster.
The main limitation is that it is not an individual research programme. Students who need a solo paper, publication submission support or intensive one-to-one mentorship should compare the Fellowship or other research-focused options before committing.
Effort and preparation
Effort level
Moderate to high for a beginner AI course.
Best started
Begin application planning 3-4 weeks before the intended cohort or deadline so the short written responses and schedule choice are not rushed.
Main challenge
Keeping pace with coding concepts while contributing to a team project.
Typical preparation
Review your current math and coding exposure, especially algebra and any previous programming.
Prepare a short explanation of why AI interests you and which use cases you might explore.
Check whether the 10-week weekend or 2-week weekday cadence fits your timezone and school calendar.
If applying for aid, prepare family income context and request consideration in the application form.
Useful if
You want an applied AI foundation before deeper research or advanced project work.
What you actually do
Students move through a structured AI curriculum, practise coding concepts and apply them in a guided group project. The course culminates in project work and presentations.
Step-by-step process
- 1
Build a foundation in Python and data science project workflow.
- 2
Learn regression, model tuning, neural-network fundamentals and NLP concepts.
- 3
Use code walkthroughs to connect theory with implementation.
- 4
Work in a small group to start, improve and present an AI project.
- 5
Discuss more advanced topics such as CNNs, transfer learning and AI ethics.
Key dates and deadlines
Upcoming
Summer weekend 2
19 July-20 September 2026
Sundays, 11:00 AM-1:30 PM EST.
Summer cohort 7
29 June-10 July 2026
Monday-Friday, 11:00 AM-1:30 PM EST.
Summer cohort 8
13 July-24 July 2026
Monday-Friday, 8:00 AM-10:30 AM EST.
Summer cohort 9
13 July-24 July 2026
Monday-Friday, 2:00 PM-4:30 PM EST.
Summer cohort 10
3 August-14 August 2026
Monday-Friday, 11:00 AM-1:30 PM EST.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 29 November 2026 | Local | Upcoming | Save deadline |
Summer weekend 2 | 19 July-20 September 2026 | Local | Active | Save deadline |
Summer cohort 7 | 29 June-10 July 2026 | Local | Upcoming | Save deadline |
Summer cohort 8 | 13 July-24 July 2026 | Local | Upcoming | Save deadline |
Summer cohort 9 | 13 July-24 July 2026 | Local | Upcoming | Save deadline |
Summer cohort 10 | 3 August-14 August 2026 | Local | Upcoming | Save deadline |
Eligibility and requirements
Grades 9-12
Middle school exceptions with coding background
No AI Scholars prerequisites
High-school math background expected
Keen interest in AI
Online application required
Cost, funding, and what's included
Programme fee
$2490 — Main AI Scholars programme price.
Funding or discounts
- Need-based aid: Up to 100% — Students can request aid in the application form.
- Combination price: $7900 — Published for Scholars plus Fellowship, not AI Scholars alone.
What's included
25 hours of live online instruction, Section lectures and code walkthroughs, Group sessions with 5:1 student-to-mentor ratio, Guided group project with 3-5 students, Access to class recordings when sessions are missed, Class materials on Google Classroom
How to apply
- 1
Open the Veritas AI application form from the official Apply Now link.
- 2
Enter student contact details, school, country, city, grade and graduation year.
- 3
Select the cohort and choose Bootcamp if applying for AI Scholars.
- 4
Share timezone, programming experience and math-course background.
- 5
Answer the short questions on AI interest and why you are a strong candidate.
- 6
Indicate whether you want to be considered for need-based financial aid.
Learning format
AI Scholars is delivered live online, with classes held via Zoom and materials available through Google Classroom. Students can choose a 10-week weekend format or a 2-week weekday summer format, with each session structured around lectures and small-group project work.
Veritas AI says make-up classes are not offered, but students can access class recordings if they miss a session.
Mentorship and feedback
Section lectures use a 15:1 ratio in the comparison table.
Group project sessions use a 5:1 student-to-mentor ratio.
Students work in groups of 3-5 on the final project.
Mentors support hands-on work, baseline modelling and project upgrades.
Project topics are determined collaboratively within small groups.
Time-zone considerations
- Application form asks students to list their current timezone.
- Weekend cohorts shown in EST include Sunday sessions.
- Weekday summer cohorts shown in EST run Monday-Friday.
- Published session times include 8:00 AM, 11:00 AM and 2:00 PM EST options.
- Students should check local time before choosing a cohort.
Tech requirements
Zoom access for live online classes
Google Classroom access for class materials
A setup suitable for coding practice
Reliable internet for live sessions and recordings
Assessment style
Assessment is project-based, with hands-on coding work, group project development and a final presentation rather than a published exam route.
- Hands-on work during small-group sessions
- Exploratory data analysis project start
- Baseline model development
- Advanced model upgrade
- Project work and presentations
Portfolio / outputs
Main deliverable / output
The main output is a guided group AI project.
Group project with 3-5 other students
Baseline AI model
Advanced model upgrade
Final presentation
Possible UCSD Extended Studies credit pathway
Frequently asked questions
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Save this programme in Succeed to compare it with similar programmes, dates, costs and formats in one place.
Compare with other programmesSources & verification
Source types reviewed
- VERITASAI_2026 Application Dates_100925
- Veritas AI _ AI Scholars and Fellowship (7)
- Veritas AI Application Form 2026
- Veritas AI | AI Research Programs for High School Students
- FAQs | Learn AI Today – Get Started — Veritas AI
- Compare Programs | Explore and Enroll Today — Veritas AI
- AI Scholars | Discover AI Today! — Veritas AI
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
What we verified (on 26 Jun 2026)
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Application form checked
Dates reviewed
Cost checked
Eligibility reviewed
FAQ details checked
Credit pathway reviewed
How Succeed uses this information
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