GitHub streak to shipped repo
From first commit to a polished README and deployment notes.
4 merged project repos
AI Bootcamp - 8 Weeks
Build Real AI Projects in 8 Weeks.
2 live sessions/week - 4 mini projects + 1 capstone - GitHub-ready portfolio
Limited seats - Beginner-friendly - Mentor feedback
4 mini projects (biweekly)
1 capstone project
GitHub portfolio with clean READMEs
Mentor feedback and review
Apply / Reserve Seat
Reserve your seat in minutes
Reserve seat for free and pay later if you like the first class.
Student wins
Proof that students ship real outcomes
Live deployment milestone
Students take apps from local demos to public links with docs.
First app shipped in week 2
Career signal in public
Learners post shipping updates and project outcomes on LinkedIn.
Portfolio stories shared weekly
Testimonials
What past mentees say
"I came in with theory only, and left with projects I could actually show in interviews."
"The weekly shipping routine made me accountable. I finally finished and deployed real work."
"The sessions were practical and direct. I used the RAG app pattern in my own product."
"I needed structure and feedback. This bootcamp gave me both and helped me build confidence."
What you'll ship
Portfolio pieces built inside the cohort
Algorithmic depth
Sokoban Solver
Search algorithms, heuristics, and optimization in a production-style repo.
LLM app architecture
RAG App
Retrieval with citations, chunking strategy, and evaluation notes.
Deployed product
Assistant App
A deployed assistant web app with structured output and prompt design.
Instructor
Yuvraj Raina
Industry specialist, mentor, entrepreneur
Yuvraj has guided founders, engineers, and teams to ship AI-powered products. The bootcamp is designed to move you from concepts to real-world builds with disciplined weekly delivery.
Program Highlights
Built for real-world AI builders
Hands-on sessions, weekly deliverables, and a clear portfolio outcome.
LP
Live, practical learning
Two 90-minute live sessions per week with 30 minutes of theory and 60 minutes of coding.
WD
Weekly deliverables
Stay accountable with mini labs, project milestones, and clear feedback loops.
BE
Beginner-friendly
We start from fundamentals and quickly move to modern AI applications.
RO
Real-world outcomes
Graduate with a GitHub-ready portfolio and capstone you can showcase.
Program outcomes
- 4 mini projects (biweekly)
- 1 capstone project
- GitHub portfolio with clean READMEs
- Mentor feedback and review
Who it is for
- Aspiring AI/ML engineers
- Software developers pivoting into AI
- Founders building AI-powered products
- Students aiming for project-based learning
Syllabus
8-week timeline with weekly deliverables
Two sessions per week with a clear deliverable to keep momentum and ship projects.
Week 1Deliverable
Search & Problem Solving (Sokoban)
Session 1
- Problem formulation
- State space
- BFS/DFS
Session 2
- Heuristics
- A*
- Implementing solver + experiments
Mini Lab 1 (Sokoban baseline solver)
Week 2Deliverable
Advanced Search + Optimization
Session 1
- Improving heuristics
- Pruning
- Complexity
- Debugging
Session 2
- Performance profiling
- Clean project structure
- README writing
Mini Project 1 (Sokoban solver v2 on GitHub)
Week 3Deliverable
Supervised Learning Foundations
Session 1
- Data and features
- Train/val/test
- Metrics
- Linear models
Session 2
- Hands-on classifier/regressor notebook
- Evaluation
Mini Lab 2 (supervised learning notebook)
Week 4Deliverable
Practical Supervised ML
Session 1
- Overfitting
- Regularization
- Model selection
- Pipelines
Session 2
- End-to-end mini project
- Dataset selection
- Report writing
Mini Project 2 (end-to-end ML project)
Week 5Deliverable
Intro to Modern AI Apps
Session 1
- LLM basics
- Prompting
- Structured outputs
Session 2
- Build Mini Project 3
- Simple AI assistant web app
Mini Project 3 (deployed link + repo)
Week 6Deliverable
RAG + Knowledge Apps
Session 1
- Embeddings
- Vector DB concepts
- Chunking
Session 2
- Build Mini Project 4
- RAG app with citations
Mini Project 4 (deployed link + repo)
Week 7Deliverable
Capstone Build Sprint
Session 1
- Capstone planning
- Architecture
- Milestones
- Git workflow
Session 2
- Build + mentor review
- Debugging
- Evals
Capstone v1
Week 8Deliverable
Capstone Launch + Portfolio
Session 1
- Deployment
- Polishing
- Demos
- Storytelling
Session 2
- Final presentations
- Portfolio/GitHub cleanup
- Next steps
Capstone final + portfolio
Pricing
Reserve your seat with zero upfront risk
No upfront payment required.
Reserve seat for free and pay later if you like the first class.
FAQ
Answers before you enroll
Do I need prior AI experience?
No. We start from fundamentals and move quickly into modern AI workflows.
What if I miss a live session?
Each class is recorded and shared so you can catch up.
How much time should I allocate weekly?
Plan for 4 to 6 hours per week including classes and project work.
Will I build a portfolio?
Yes. You will complete four mini projects and a capstone with GitHub-ready repos.
Is there feedback on assignments?
Yes, feedback is included in Builder and Pro tiers; Pro includes 1:1 support.
How do I register?
Use the Apply form on this page to reserve your seat. For questions, reach out on WhatsApp or email.