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Learning Paths

Structured curricula to become an AI engineering expert

Career Track

🎯All Paths🤖LLM Engineer⚙️MLOps🔬Researcher🚀Full-Stack📊Data Science

Level

All LevelsBeginnerIntermediateAdvanced
🤖LLM EngineerIntermediate
🤖

LLM Engineer Path

Master production-ready LLM application development. From transformer fundamentals to deploying RAG systems, fine-tuning, and AI agents. Based on industry best practices from OpenAI, Anthropic, and leading AI labs.

16 weeks
12 milestones
Transformer ArchitecturePrompt EngineeringRAG SystemsFine-tuning (LoRA/QLoRA)+5
🤖LLM EngineerAdvanced
🤖

AI Agent Developer Path

Specialize in building autonomous AI agents that can reason, plan, and execute complex tasks. Master frameworks like LangChain, LangGraph, CrewAI, and AutoGen to build sophisticated multi-agent systems.

10 weeks
9 milestones
ReAct PatternLangChainLangGraphCrewAI+5
🤖LLM EngineerBeginner
🎯

Prompt Engineer Path

Master the art and science of prompt engineering. Learn to design effective prompts for any task, build prompt libraries, and optimize LLM outputs systematically. A specialized skill increasingly in demand.

8 weeks
8 milestones
Prompt DesignFew-Shot LearningChain-of-ThoughtPrompt Templates+4