Learning paths
Browse LLM topics
Choose a learning path based on where you are in your LLM journey.
LLM Basics
Look inside an LLM: tokens, context, transformers, next-token prediction, training, inference, fine-tuning, and the stages that shape model behavior.
Go learning pathPrompting Fundamentals
Turn intent into clear instructions with message roles, examples, templates, structured outputs, generation settings, and systematic prompt debugging.
Go learning pathUsing AI Tools
Choose how you want to work with AI across ChatGPT, Gemini, local and open models, multimodal systems, and connected applications.
Go learning pathRAG and Agents
Give LLM applications evidence and actions with embeddings, retrieval, reranking, citations, tools, agents, memory, and controlled loops.
Go learning pathLLM Applications and Careers
Find where LLMs create real value in coding, business, education, projects, products, and careers—and choose use cases worth building.
Go learning pathLLM Safety and Security
Set trust boundaries around sensitive data, untrusted instructions, retrieved content, agent permissions, and consequential actions.
Go learning pathLLM Evaluation and Reliability
Turn “looks good” into measured behavior with test cases, retrieval checks, regression testing, observability, evidence analysis, and failure triage.
Go learning pathLLM Application Engineering
Move from demo to working system with validation, routing, caching, batching, request lifecycles, and practical application workflows.
Go learning path