Design, build, secure and operate real AI agents: backend foundations, the agent loop, tools and RAG, MCP and multi-a...
Learning tracks
Curated journeys of courses and articles to master a topic.
Offensive security for LLMs, RAG, agents, MCP and AI infrastructure — from threat modeling fundamentals to hands-on e...
The complete security path: fundamentals and cryptography, web application security, Python security tooling, Linux a...
The security path every developer needs: core concepts, the OWASP Top 10 in practice against a safe local target, and...
From zero to production: start with Python syntax and fundamentals, move into object-oriented code, testing and real ...
Go from zero to confident with containers: run them, build your own images, persist data, connect services, and orche...
The base every developer needs: the command line, version control with Git, how the web talks over HTTP, and querying...
Build the core pieces of a production AI system hands-on: a RAG pipeline and robust, schema-validated LLM output — gr...
A guided path to learn and apply DARE — Design, Architect, Review, Execute — from the method fundamentals to producin...