Learning Paths
Structured curricula to become an AI engineering expert
Career Track
🤖LLM EngineerIntermediate
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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
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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
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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