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The AI skill tree
Every area of AI builds on the ones before it. Start with the foundations and work up to putting AI to work in a business.
Foundations
How LLMs work: tokens, contextPrompting
Prompts and context designProviders
Choosing APIs, vendors and costsModels
Architectures and fine‑tuningData
Datasets, cleaning and pipelinesAgents
Tool use, planning and memoryCoding
AI-assisted developmentRetrieval
RAG, embeddings and searchEvaluation
Testing and measuring outputAutomation
Workflows that run themselvesEngineering
Production AI systemsSafety
Guardrails, security and riskBusiness
Strategy, ROI and adoptionTap a skill to see what it covers and what it builds on.
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The AI Engineering Series
From your first structured prompt to training your own model: AI Prompt Engineering, Agentic AI Engineering and LLM Systems Engineering, together in one combined edition, AI Engineering.
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