Learning Paths
Learning Paths
Structured journeys to master AI engineering
Learning Paths
Choose a path based on your goals and follow a structured curriculum.
RAG Specialist
Master retrieval-augmented generation for production systems.
| Step | Project | Skills |
|---|---|---|
| 1 | Document Q&A | Basic RAG, embeddings |
| 2 | Multi-Document RAG | Context management |
| 3 | Hybrid Search | Advanced retrieval |
| 4 | Production Pipeline | Evaluation, scaling |
Full Stack AI Engineer
Build complete AI-powered applications.
| Step | Project | Skills |
|---|---|---|
| 1 | Simple Chatbot | LLM basics |
| 2 | Document Q&A | RAG fundamentals |
| 3 | Tool-Using Agent | Agent patterns |
| 4 | Model Serving | Deployment |
Production Engineer
Focus on deploying and scaling AI systems.
| Step | Project | Skills |
|---|---|---|
| 1 | Docker Deployment | Containerization |
| 2 | LLM Caching | Cost optimization |
| 3 | Monitoring | Observability |
| 4 | Complete Pipeline | CI/CD, automation |