72% of New Tech Jobs
Now Require AI Skills.
Companies aren't waiting. They're already replacing repetitive engineering work with AI agents. The engineers who build them are getting hired. The ones who don't are getting passed over.
4 weekends. 1 capstone project. Industry-ready agentic AI skills.
The gap is growing. Fast.
4 Weekends. 1 Shipped Project.
1.5 hours each weekend. Industry expert-led. Hands-on from day one.
- How LLMs actually work — beyond the hype
- Prompt engineering & context engineering that changes model behavior
- Build your first AI agent from scratch
- LangChain, LangGraph — the frameworks companies are actually hiring for
- Memory, tools, and multi-step reasoning
- RAG pipelines: connect your agent to real-world data
- Scope your personal agentic AI project with mentor guidance
- Environment bots, finance agents, research assistants — your domain, your choice
- Code review and architecture feedback from industry experts
- Deploy your capstone — live, working, on the internet
- GitHub profile + LinkedIn writeup that gets recruiter attention
- Mock technical walkthrough: explain your agent like you would in an interview
Skills Recruiters Are Actively Searching For
You'll be able to speak to all of these — and show proof.
What You Walk Away With
1 Live Agentic AI Capstone
A real, deployed AI agent you built — not a tutorial, not a notebook. Something you can demo in an interview.
Industry-Ready Skill Stack
LLMs, LangChain, RAG, agents — the exact stack that's showing up in job descriptions right now.
GitHub + LinkedIn Presence
Your capstone published, documented, and positioned to get recruiter attention when they search for AI engineers.
Expert-Led Sessions
Every weekend is taught by practitioners who have built AI systems in production — not instructors reading from slides.
Don't Fall Behind
The engineers who move now will have 6–12 months of advantage over everyone who waits.