Learn AI EngineeringThrough Building
Production-ready projects with complete code, architecture diagrams, and step-by-step explanations. From beginner to advanced.
What You'll Build
RAG Systems
Document Q&A, multi-doc retrieval, hybrid search, and production pipelines
LLM Applications
Chatbots, content generation, code assistants, and structured outputs
Embeddings
Semantic search, clustering, similarity systems, and vector databases
AI Agents
Tool-using agents, multi-agent systems, and autonomous workflows
MLOps
Model deployment, monitoring, CI/CD pipelines, and scaling
Deep Learning
Custom models, fine-tuning, quantization, and distributed training
Small Language Models
Local inference, edge deployment, fine-tuning, and production SLM systems
HuggingFace Ecosystem
Transformers, diffusers, PEFT, TRL, accelerate, and the full HuggingFace stack
Learning Paths
Structured journeys from beginner to production-ready engineer
Start at Your Level
Jump into projects that match your experience
Beginner
1-2 hoursLearn the fundamentals with guided projects
Intermediate
4-8 hoursBuild real features with production patterns
Advanced
2-5 daysProduction-ready systems with full architecture