Systems ship. Demos don't.
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You walk out with a production-grade Enterprise Agentic RAG mid-program build, a deployed capstone, and the architecture instincts that separate engineers who own systems from engineers who assemble them.
You walk out with a production-grade Enterprise Agentic RAG mid-program build, a deployed capstone, and the architecture instincts
Comfortable in Working with LLM Providers
Comfortable in working with Orchestration - LangChain, LangGraph, LangServe
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Founder @ Manifold AI Learning, Systems Ship. Demos Dont
You know Python and can follow code — no ML research background needed
You're a backend, full-stack, devops, or data engineer moving into AI engineering
You want to build and own systems — not just complete another course
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Live sessions
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10-12 hrs / week
You can commit 10–12 hours per week for 8 weeks (live + async)
Projects
1 hr / week
Async content
1 hr / week
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