Career path

AI Engineer

From Python fundamentals to production RAG systems: embeddings, vector stores, evaluation, and cost control — the applied-LLM profile teams are hiring for now.

Target role: AI / LLM Engineer~40h total2 courses
Follow this path

Free to follow — courses are purchased individually.

The route

  1. 1Software DevelopmentPython Fundamentals: Code Your First Real ProjectsFree starter course — variables to working scripts: automate a task, parse real data, and build the habit of shipping.Free
  2. 2Data & AI EngineeringLLM Engineering: Build Production RAG ApplicationsRetrieval-augmented generation from first principles to production: embeddings, vector stores, evaluation, and cost control.49,00 €

Capstone: the portfolio project

Watched videos don't win interviews — proof of skill does. Finish the path by building this, independently.

Build and evaluate a domain RAG assistant: ingestion pipeline, retrieval evaluation harness, cost and latency budget, and a written failure-mode analysis.

What this path does not do

This path prepares you for applied AI engineering roles. It does not guarantee employment and does not replace hands-on experience.