AI Engineer Intensive
An English-only, operator-grade eight-week bootcamp for self-learners who want to build, evaluate, deploy, and harden AI systems.
Week 1: Foundations of Working With Machines
Programming rigor, APIs, auth boundaries, networking, and debugging discipline.
Week 2: Data, ML, and How Models Learn
Data handling, feature thinking, evaluation, and classical ML before the LLM layer.
Week 3: Talking to Models Properly
LLM foundations, structured outputs, prompt architecture, and secure API usage.
Week 4: RAG, Context, and Agentic Systems
RAG, retrieval quality, orchestration, and attack-aware agent design.
Week 5: Shipping Systems, Not Demos
Containers, deployment, runtime isolation, and hardening the path to production.
Week 6: MCP, Evaluation, and LLMOps
MCP, tracing, evals, cost, compliance-aware logging, and post-launch operations.
Week 7: Build the Product Core
Translate the curriculum into product loops: onboarding, progression, review, and admin visibility.
Week 8: Ship the AI Tutor
Polish the capstone, prove launch readiness, and turn the system into a portfolio narrative.
Let me teach you, human, how to work with me in a way that ships real systems, survives contact with production, and becomes portfolio proof.
The curriculum is designed so that each week compounds on the last. You are not collecting knowledge — you are building a system of judgment that survives contact with production.
Open weeks are free to explore. Gated weeks unlock when you pass the checkpoint artifact for the preceding module. The machine reviews every submission and decides if you are ready to advance.