AI Concepts¶
Explore the building blocks of modern AI. Each topic is self-contained -- start with whatever interests you most.
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Foundation & Models
Understanding LLMs, SLMs, transformers, tokens, and how AI models work under the hood.
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Retrieval & Data
RAG, vector databases, embeddings, and how AI connects to your enterprise data.
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AI Agents
What agents are, how they work, multi-agent systems, and when to use them.
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Agentic AI
Protocols, orchestration, memory, and the ecosystem powering AI agents -- MCP, A2A, AG-UI.
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Prompting & Techniques
Prompt engineering, chain of thought, few-shot learning, and crafting effective AI instructions.
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Fine-Tuning & Training
When and how to customize AI models for your specific needs -- fine-tuning, LoRA, RLHF.
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Safety & Responsible AI
Hallucinations, guardrails, red teaming, and building AI systems you can trust.
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Infrastructure & Operations
MLOps, model drift, quantization, and running AI in production.