Application deadline
31 August
Published without a confirmed year.
Online Program
Deep Dive: AI + Finance
by Veritas AI
An online program combining AI, coding and finance through live teaching, hands-on analysis and a collaborative financial modelling project.
Last verified: 10 Oct 2026Reviewed by:SSSean Stevens
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AI Finance Deep Dive at a glance: cost, dates and eligibility
Current status
Upcoming
Eligibility
Grades 8-12; coding background
Age range / Year group
Ages 13-18
Location / Region
Online
Cost
$2490
Duration
10 weeks
Format
Online
Artificial IntelligenceFinance
Sessions / cadence: 10 x 2.5-hour weekend sessions
Mentor model: 5:1 project-group ratio
Main deliverable / output: Collaborative group project
Certificate: Optional 3 UCSD credits
AI Finance Deep Dive summary
The program explores how artificial intelligence is applied to financial markets, combining finance theory with practical modelling and code walkthroughs.
Students progress from foundational concepts to risk, forecasting, clustering and sentiment analysis before developing a collaborative project.
It suits students who already have some coding or AI experience and want a structured introduction to computational finance.
What is Deep Dive: AI + Finance?
Deep Dive: AI + Finance is a Veritas AI program about the use of artificial intelligence in financial markets. It combines conceptual finance teaching, code walkthroughs and hands-on technical work.
Students examine instruments, risk, portfolio theory, simulations, factor models, clustering and financial sentiment analysis. They then apply the material through collaborative model development and a final presentation.
Why Succeed highlights AI Finance Deep Dive
The syllabus connects AI techniques to concrete financial applications rather than treating either subject in isolation.
Code walkthroughs and hands-on tasks give students opportunities to apply the theoretical material.
The small-group project moves from baseline to advanced modelling before a final presentation.
Topics include both technical methods and a critical session on what happens when AI in finance fails.
Need-based aid can cover up to 100% for successful applicants.
Who is AI Finance Deep Dive for?
Best for
Students who know some Python or have completed AI Scholars and want to apply technical skills to financial data and markets.
Not ideal if
You are completely new to coding or need flexible attendance with live make-up teaching.
Is AI Finance Deep Dive worth it?
It can be worthwhile for a student who wants a focused bridge between coding and finance. The structured syllabus, hands-on modelling and final group project provide more depth than a short introductory webinar.
The main limitation is that the project is collaborative, so students seeking an independent research output may prefer a one-to-one program. The fee is also substantial, although documented need-based aid may reduce the cost.
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Cost and what is included
$2490; includes Live online lectures and group sessions, Hands-on coding and model development, Collaborative final project support, Class recordings for missed sessions.
Dates and time commitment
10 weeks; 10 x 2.5-hour weekend sessions.
Provider details
Review the Veritas AI provider page and official sources before making a final decision.
What the student gains
Potential output: The main output is a collaborative AI and finance project completed with a small group.. 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.
Compare with similar programsHow much preparation does AI Finance Deep Dive need?
Effort level
Moderate to high.
Best started
Begin preparing four to six weeks before applying so you can refresh Python and draft the two short written responses.
Main challenge
Connecting unfamiliar financial concepts with applied AI modelling.
Typical preparation
Refresh core Python skills and practise working with tabular data.
Review basic ideas about stocks, bonds, risk and reward.
Prepare concise examples showing your interest in artificial intelligence.
Plan how you will contribute reliably to a small-group project.
Useful if
You have completed AI Scholars or already understand Python and basic AI concepts.
What do students do on AI Finance Deep Dive?
Students move through finance theory, guided code work and collaborative model development. The sequence culminates in project refinement and a final presentation.
Step-by-step process
- 1
Learn the foundations of artificial intelligence, financial instruments, risk and reward.
- 2
Use code walkthroughs to explore financial data, time series and portfolio models.
- 3
Practise simulations, risk analysis, factor models, clustering and sentiment analysis.
- 4
Develop baseline and advanced models with a small project group.
- 5
Prepare and deliver the final project presentation.
AI Finance Deep Dive dates and deadlines
Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
Reference date
Fall cohort
21 September-23 November
Ten-week reference cohort.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 31 August | Local | Reference date | |
Fall cohort | 21 September-23 November | Local | Reference date |
Eligibility and requirements
Students in Grades 8-12.
Completion of AI Scholars or previous coding experience.
Previous AI concepts or Python experience is accepted.
Applicants must complete the online application form.
How much does AI Finance Deep Dive cost?
Program fee
$2490 — Published Deep Dives price.
Funding or discounts
- Need-based aid: Up to 100% — Requested through the application form.
What's included
Live online lectures and group sessions, Hands-on coding and model development, Collaborative final project support, Class recordings for missed sessions
How to apply to AI Finance Deep Dive
- 1
Open the Veritas AI application form.
- 2
Select the relevant cohort and choose Bootcamp for a Deep Dive.
- 3
Enter your school, grade, graduation year and time zone.
- 4
Describe your programming and mathematics background.
- 5
Write the AI-interest and candidate responses in 300 words or less each.
- 6
Request need-based financial aid in the form if required.
- 7
Review the information and submit the application.
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Learning format
Teaching is live and online through Zoom, with course materials hosted on Google Classroom. Each session combines a 1.5-hour section lecture with a one-hour small-group session, creating 2.5 hours of scheduled learning.
Recordings are available after missed sessions, but make-up classes are not offered.
Mentorship and feedback
Section lectures are delivered at a 15:1 ratio.
Project groups use a 5:1 student-to-mentor ratio.
Project topics are chosen collaboratively within small groups.
Students develop baseline and advanced project models.
The program culminates in project work and presentations.
Time-zone considerations
- Applicants provide their current time zone.
- Time zones are used for bootcamp matching.
- Sessions run on weekends.
- Classes are live through Zoom.
- Recordings support students who miss a session.
Tech requirements
Zoom access for live classes
Google Classroom access for materials
Prior coding, AI or Python experience
Assessment style
Progress is demonstrated through hands-on coding, collaborative model development and a final project presentation.
- Repeated hands-on coding work
- Baseline model development
- Advanced model development
- Collaborative project work
- Final presentation
Portfolio and outputs
Main deliverable / output
The main output is a collaborative AI and finance project completed with a small group.
Baseline project model
Advanced project model
Final presentation
Optional UCSD digital transcript and credit
AI Finance Deep Dive FAQs
It covers financial instruments, risk and reward, portfolio theory, simulations, factor models, clustering, sentiment analysis and failures of AI in finance.
Yes. Live classes use Zoom, while materials are uploaded to Google Classroom.
Each session includes a 1.5-hour section lecture and a one-hour group session, for 2.5 hours in total.
Yes. Students should have completed AI Scholars or have previous experience with coding, AI concepts or Python.
Students work in a small group to develop an applied AI and finance project, progressing through baseline and advanced models before a final presentation.
Topics are determined collaboratively within the small groups. Transfers may be considered if another group selects a student's preferred topic.
The program does not offer make-up classes, but students can access class recordings after a missed session.
Successful participants may choose to enroll for three post-baccalaureate credits and a digital transcript from UCSD Extended Studies. A separate processing fee applies.
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Save this program in Succeed to compare it with similar programs, dates, costs and formats in one place.
Compare with other programsContent 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.
Sources and verification
Source types reviewed
- Veritas AI Application Form 2026
- FAQs | Learn AI Today – Get Started — Veritas AI
- 14 Finance Programs for High School Students in Massachusetts — Veritas AI
- Compare Programs | Explore and Enroll Today — Veritas AI
- Deep Dive: AI + Finance | Discover AI Finance Opportunities — 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 10 Oct 2026)
Program structure checked
Syllabus reviewed
Eligibility cross-checked
Delivery format verified
Application form reviewed
Funding details checked
Price association 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.
Deep Dive: AI + Finance
by Veritas AI
Upcoming
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