A laptop & internet is now a PKR 100k/month asset.
A world-class AI automation curriculum built for Pakistani youth — taught by operators who actually run books. Pick the track that matches your level. Preview the first 2 days of every track for free.
Track C · Pro
AI Architect — 1 Month Intensive
"Build the systems that other operators sell."
By week 4 you will have a deployed production AI system: a multi-agent workflow with RAG, evals, observability, and a $5k-25k enterprise offer ready to pitch.
Who this is for
Senior devs, AI engineers, agency owners, technical founders. You already ship — you want institutional-grade AI infrastructure patterns and an enterprise-ready offer.
Prerequisites
- Production coding experience (any language) — JS/TS or Python preferred
- Have shipped at least one paid product or significant client project
- Comfortable with Git, CLI, cloud deployment (Vercel/Railway/AWS)
- Existing client pipeline or audience
Full Curriculum
4 weeks · day by day
There is a 10× gap between demo-quality AI and production AI. We bridge it this week.
The 5 layers, the 3 best vendors per layer, and the decision criteria for each. We audit 3 real production stacks (one fintech, one healthtech, one media).
- Sketch your reference architecture for a client
When LangChain wins, when raw SDK wins, when n8n wins, when Vercel AI SDK wins. Cost, latency, team-skill calculus.
Vercel AI SDK + OpenAI + Helicone + Sentry. Edge function, streaming, cost tracking, error capture.
- Live endpoint with full observability
Off-the-record Q&A. Real PnL, real client horror stories, current open hires.
Submit your 1-page reference architecture for the client you'll build for this month. Head trainer reviews personally.
Most RAG demos look great. Most RAG products fail QA. Here's why — and how to ship the ones that don't.
Why pure-vector retrieval misses 30% of relevant docs. Cohere rerank, Voyage rerank, when each wins.
- Implement hybrid retrieval with rerank
Markdown, PDF, code, transcripts — each needs different chunking. Live benchmarks on a 1,000-doc corpus.
Ingestion pipeline, hybrid search, rerank, citation extraction, streaming UI. Code reviewed line by line.
- RAG live on staging URL
- Citations rendering inline
Promptfoo + custom evals + LLM-as-judge. Sample of 50 queries, scored automatically per CI.
Pair-deploy on real client data. Mentor catches the bugs you didn't see.
Run 50-query eval on your RAG; submit hit-rate, MRR, and 5 worst-failures with proposed fixes.
Function calling, JSON schema, OpenAI Structured Outputs.
Unlock →Cache, batch, route, distill — 5-10× cost reduction patterns.
Unlock →OWASP LLM Top 10, real attacks we've seen.
Unlock →You've previewed 2 days.
Imagine where 20 take you.
Join the next cohort. Pay in USDT, JazzCash, Easypaisa or bank transfer. Manual confirmation within 24 hours.