From ML pipelines to production AI — taught by people who shipped to 160 million users.
Six weeks. Ship a working agent on your own data. Built for engineers who are tired of theory and want to ship something their CTO will actually deploy.
What this actually feels like.
"We have ChatGPT subscriptions and a vector database. Nothing is in production. The CTO is starting to notice."
"I built a RAG chatbot. It hallucinates. I do not know how to evaluate it properly. I cannot defend it to the security team."
"My CTO asked for an 'agent strategy'. I am pretending I know what that means."
"Global teams at our parent are shipping AI products. The India team is doing data labelling. I do not want to be the data labelling guy in two years."
AI Build Lab. Six weeks. One working agent. On your own data.
A six-week cohort for senior engineers, ML engineers, platform engineers and technical PMs. Every participant ships a production-pattern AI system end-to-end on their own company's messy data — RAG pipeline, agent with tools, MCP server, evaluation harness, observability, deployment. The deliverable is a working repository in your own GitHub, not a certificate.
What's inside.
- 01WEEK 1 — Foundations: production patterns, evaluation-first development
- 02WEEK 2 — RAG pipelines on your own data: chunking, embeddings, retrieval
- 03WEEK 3 — Agents and tool use: LangGraph, OpenAI Agents SDK, Pydantic AI
- 04WEEK 4 — MCP servers and integration: Claude Code, Cursor, your stack
- 05WEEK 5 — Evaluation harness, observability, production-readiness
- 06WEEK 6 — Demo Day — present to 2–3 invited guest CTOs from our network
Tangible outcomes.
- ✓A working AI system in your own GitHub — RAG, agents, evaluation, observability
- ✓A written production-readiness review you can take to your CTO
- ✓A Demo Day video that becomes a hiring asset
- ✓Lifetime access to TheNeural.ai practitioner network (20,000+ engineers)
- ✓A peer cohort of 14–24 other senior engineers across Indian and APAC enterprises
Objections we hear. And how we answer them.
?I can learn this on YouTube.
You can learn the concepts on YouTube. You cannot ship a production system on your company's actual data with a practitioner reviewing your work and a Demo Day in front of CTOs.
?Who is teaching this?
Named CTOs and Heads of AI from production environments — every instructor's GitHub is on the page.
?Why 6 weeks and not a weekend bootcamp?
Because shipping a real system on real data takes more than 48 hours. We do not pretend otherwise.
?What stack do you teach?
The stack updates every cohort because the field moves fast. Current: LangGraph, OpenAI Agents SDK, Pydantic AI, MCP, Cursor, Claude Code, Qdrant/pgvector, LangSmith, Logfire.
Apply for the next cohort →
Next cohort: starts in 6 weeks · 15–25 engineers · Demo Day in week 6