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Learning paths

Follow structured paths to master each area step by step.

AI Engineering Ecosystem

22 guides

This learning path is designed to help you develop the skills you need in the field of AI Engineering.

Beginner(7)
AI Fundamentals GuideClub
LLM Access Strategies GuideClub
Git & GitHub GuideClub
AI Semantics GuideClub
Embeddings Deep Dive GuideClub
Vector Databases Fundamentals GuideClub
Advanced RAG Techniques GuideClub
Intermediate(7)
Python Essentials GuideFree
LangChain & LangGraph: From Chains to AgentsClub
Advanced Prompt Engineering GuideClub
Building AI Agents GuideClub
Evaluation Frameworks GuideClub
Production Best Practices GuideClub
AI Multimodal GuideClub
Advanced(8)
Docker Essentials GuideFree
CI/CD for AI Systems GuideClub
Deployment & Cloud Infrastructure GuideClub
Monitoring & Observability GuideClub
Cost Optimization & Caching GuideClub
Security Deep Dive GuideClub
System Design & Scaling GuideClub
AI Ethics & Compliance GuideClub
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Backend Python Developer Ecosystem

18 guides
Beginner(4)
Data Structures & Algorithms with Python GuideClub
Python for Backend Development GuideClub
Git & GitHub GuideClub
REST APIs & HTTP Fundamentals GuideClub
Intermediate(7)
Python Essentials GuideFree
FastAPI Fundamentals GuideClub
FastAPI Advanced Features GuideClub
PostgreSQL & SQLAlchemy GuideClub
Authentication & Authorization GuideClub
Redis & Caching Strategies GuideClub
Testing Backend Applications GuideClub
Advanced(7)
Database Performance & Query Tuning GuideClub
SQL Patterns for Production APIs GuideClub
Advanced PostgreSQL for Backend GuideClub
CI/CD for Python Backend GuideClub
Docker Essentials GuideFree
Monitoring & Observability GuideClub
Deployment & System Design GuideClub
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