From foundations to production deployment. Interactive flowchart with 127 topics, hands-on exercises, and curated resources. Completely free.
What is AI Engineering, Python basics, APIs, cloud platforms, and core concepts.
GPT-4, Claude, Gemini, open-source models, tokenization, fine-tuning strategies.
Chain-of-thought, few-shot, system prompts, evaluation, and optimization.
Vector databases, retrieval pipelines, chunking strategies, hybrid search.
Tool use, multi-agent systems, MCP, autonomous workflows, memory.
Cost optimization, monitoring, safety, scaling, and real-world deployment.
Core concepts, Python, APIs, cloud platforms, and the AI engineer mindset.
Understanding transformers, GPT-4, Claude, Gemini, open-source, and fine-tuning.
Advanced prompting, chain-of-thought, evaluation frameworks, and optimization.
Embeddings, vector DBs, chunking, hybrid search, and retrieval pipelines.
Tool use, MCP protocol, multi-agent systems, memory, and autonomous workflows.
Deployment, monitoring, cost optimization, safety, and real-world scaling.