Advance your AI journey by mastering practical skills on real-world projects
Learn end-to-end AI development through industry-relevant projects—from concept and problem framing to prototyping and performance evaluation.
Explore Programs →Learn & Build
Skill-Building Cohort
Build practical AI skills through guided learning. Complete real-world projects with clear deliverables like prototypes, analyses, or dashboards.
- ✓ Guided curriculum
- ✓ Hands-on projects
- ✓ Portfolio-ready work
Apply in Industry
Project Collaborations
Tackle industry challenges through partner collaborations. Strengthen career readiness with professional-grade outputs.
- ✓ Industry project experience
- ✓ Solve business problems
- ✓ Career development
Lead & Give Back
Mentors and Advisors
Share your expertise by mentoring teams, advising research projects, or creating learning content for our community.
- ✓ Mentor professionals
- ✓ Guest lectures
- ✓ Content creation
From AI Skills to Startup Pitch
8 weeks • Teams of 3–5 professionals • Weekly live sessions + guided build time
Learning outcomes
- ✓ Frame business problems with clear metrics
- ✓ Design AI solutions (ML, LLM/RAG, automation)
- ✓ Use AI for research, prototyping, and vibecoding
- ✓ Build with responsible AI practices
- ✓ Communicate technical solutions to stakeholders
Project types
- ✓ Knowledge assistant (RAG)
- ✓ Document intelligence workflow
- ✓ Forecasting dashboard
- ✓ Recommendation system
Deliverables
- ✓ Working prototype or demo
- ✓ Startup-style pitch deck
- ✓ Technical documentation
- ✓ Portfolio-ready materials
Frequently asked questions
How does this help with jobs and accelerators? +
The program emphasizes end-to-end delivery: defining a problem, building a solution, demonstrating measurable results, and communicating a business case—skills valued by employers and early-stage programs.
What about data privacy and responsible AI? +
We prioritize safe, ethical practice. Teams learn to document data sources, avoid sensitive data misuse, evaluate risks, and include appropriate safeguards and limitations.
What do I receive at the end? +
You will leave with a demo/prototype, a pitch deck, a product brief, evaluation summary, and resume-ready project descriptions.
Can my company sponsor a team or propose a project? +
Yes. Companies can sponsor cohorts, propose project themes, provide datasets (where appropriate), and participate as guest speakers or advisors.
How will my work be evaluated? +
Teams are assessed on clarity of problem definition, quality of the solution, evidence of testing/evaluation, responsible use considerations, and strength of the final pitch.
I am already an AI expert—how can I contribute? +
You can mentor teams, serve as a research advisor, offer guest lectures, review final pitches, or help create learning resources and project templates.
How do I join or learn more? +
Visit our programs page to view current offerings and application details, or contact us directly with questions about fit, availability, or custom partnerships.
Do I need prior AI experience? +
No. We welcome beginners with basic comfort using data and tools. We also offer advanced roles and project scopes for experienced practitioners.
What kinds of projects are included? +
Examples include document intelligence workflows, knowledge assistants (RAG), forecasting dashboards, and recommendation/matching tools—scoped to be achievable and portfolio-ready.
How is the program structured? +
Teams meet weekly for guided sessions and work asynchronously between sessions. You will progress from problem selection to building, testing, and final pitching.
Are projects focused only on social impact? +
Projects can be industry-relevant while still emphasizing real-world value and responsible use. Teams may choose problem spaces that align with community impact or operational needs.
Will I work alone or with others? +
This is team-based. Teams are formed to balance skills (product, data, engineering, domain knowledge) and ensure meaningful collaboration.
What is the time commitment? +
Plan for weekly live sessions plus additional build time with your team. The schedule is designed to be manageable alongside full-time work.
Who is this program for? +
This program is designed for working professionals who want to build practical AI skills through real projects, as well as experienced AI practitioners who want to contribute through mentorship and leadership.
What will I build during the program? +
You will work in a team to build an end-to-end, industry-relevant AI application (prototype or demo) with clear evaluation, documentation, and a final presentation.
What support will I receive? +
Participants receive structured instruction, project templates, feedback checkpoints, and access to mentors/advisors for technical and product guidance.
Ready to advance your AI journey?
Join a community of professionals committed to building real skills and making meaningful contributions through mentorship and leadership.