> ## Documentation Index
> Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Course: AI Foundations for Technical Professionals

> A systems-first course teaching technical professionals how modern AI stacks work including tokenization, RAG, agents, cost estimation, model selection, deployment, and security

Notes for the **AI Foundations for Technical Professionals** course: 35 lessons across 8 sections.

## The Modern AI Stack: Introduction

* [What This Course Is and What It Isnt](/docs/AI-Foundations-for-Technical-Professionals/The-Modern-AI-Stack-Introduction/What-This-Course-Is-and-What-It-Isnt/page.md)
* [How We Got Here From Rules to Transformers](/docs/AI-Foundations-for-Technical-Professionals/The-Modern-AI-Stack-Introduction/How-We-Got-Here-From-Rules-to-Transformers/page.md)
* [The Modern AI Stack Models Harnesses Agents and Tools](/docs/AI-Foundations-for-Technical-Professionals/The-Modern-AI-Stack-Introduction/The-Modern-AI-Stack-Models-Harnesses-Agents-and-Tools/page.md)

## Inside the Model

* [What an LLM Actually Is Parameters Weights and Training vs Inference](/docs/AI-Foundations-for-Technical-Professionals/Inside-the-Model/What-an-LLM-Actually-Is-Parameters-Weights-and-Training-vs-Inference/page.md)
* [LLM vs SLM Open vs Closed Weights](/docs/AI-Foundations-for-Technical-Professionals/Inside-the-Model/LLM-vs-SLM-Open-vs-Closed-Weights/page.md)
* [Tokens The Currency of AI](/docs/AI-Foundations-for-Technical-Professionals/Inside-the-Model/Tokens-The-Currency-of-AI/page.md)
* [Context Windows What Fits What Falls Out and Why It Matters](/docs/AI-Foundations-for-Technical-Professionals/Inside-the-Model/Context-Windows-What-Fits-What-Falls-Out-and-Why-It-Matters/page.md)
* [Temperature and Sampling Why the Same Prompt Gives Different Answers](/docs/AI-Foundations-for-Technical-Professionals/Inside-the-Model/Temperature-and-Sampling-Why-the-Same-Prompt-Gives-Different-Answers/page.md)
* [Hallucinations Why Models Make Things Up](/docs/AI-Foundations-for-Technical-Professionals/Inside-the-Model/Hallucinations-Why-Models-Make-Things-Up/page.md)

## Choosing and Running Models

* [The Model Marketplace Families Versions and What Your Tools Are Built on](/docs/AI-Foundations-for-Technical-Professionals/Choosing-and-Running-Models/The-Model-Marketplace-Families-Versions-and-What-Your-Tools-Are-Built-on/page.md)
* [Token Economics What AI Actually Costs](/docs/AI-Foundations-for-Technical-Professionals/Choosing-and-Running-Models/Token-Economics-What-AI-Actually-Costs/page.md)
* [The Selection Triangle Performance Cost and Latency](/docs/AI-Foundations-for-Technical-Professionals/Choosing-and-Running-Models/The-Selection-Triangle-Performance-Cost-and-Latency/page.md)
* [Hosted APIs vs Running Your Own The Real Tradeoffs](/docs/AI-Foundations-for-Technical-Professionals/Choosing-and-Running-Models/Hosted-APIs-vs-Running-Your-Own-The-Real-Tradeoffs/page.md)
* [Demo Running a Local Model](/docs/AI-Foundations-for-Technical-Professionals/Choosing-and-Running-Models/Demo-Running-a-Local-Model/page.md)

## Prompts, Context, and RAG

* [Prompt Engineering for Professionals System Prompts Few Shot and Chain of Thought](/docs/AI-Foundations-for-Technical-Professionals/Prompts-Context-and-RAG/Prompt-Engineering-for-Professionals-System-Prompts-Few-Shot-and-Chain-of-Thought/page.md)
* [From Prompt Engineering to Context Engineering](/docs/AI-Foundations-for-Technical-Professionals/Prompts-Context-and-RAG/From-Prompt-Engineering-to-Context-Engineering/page.md)
* [RAG Part 1 Embeddings and Vector Search No Math Required](/docs/AI-Foundations-for-Technical-Professionals/Prompts-Context-and-RAG/RAG-Part-1-Embeddings-and-Vector-Search-No-Math-Required/page.md)
* [RAG Part 2 The End to End Pipeline](/docs/AI-Foundations-for-Technical-Professionals/Prompts-Context-and-RAG/RAG-Part-2-The-End-to-End-Pipeline/page.md)
* [RAG vs Fine Tuning vs Long Context Which Lever to Pull When](/docs/AI-Foundations-for-Technical-Professionals/Prompts-Context-and-RAG/RAG-vs-Fine-Tuning-vs-Long-Context-Which-Lever-to-Pull-When/page.md)

## AI Agents and Agentic AI

* [The Agent Loop What Makes an Agent an Agent](/docs/AI-Foundations-for-Technical-Professionals/AI-Agents-and-Agentic-AI/The-Agent-Loop-What-Makes-an-Agent-an-Agent/page.md)
* [Tool Calling How Models Touch the World](/docs/AI-Foundations-for-Technical-Professionals/AI-Agents-and-Agentic-AI/Tool-Calling-How-Models-Touch-the-World/page.md)
* [The Harness The Other Half of the Product](/docs/AI-Foundations-for-Technical-Professionals/AI-Agents-and-Agentic-AI/The-Harness-The-Other-Half-of-the-Product/page.md)
* [Subagents Multi Agent Systems and Orchestrators](/docs/AI-Foundations-for-Technical-Professionals/AI-Agents-and-Agentic-AI/Subagents-Multi-Agent-Systems-and-Orchestrators/page.md)
* [Building Subagents Instructions Tools and Delegation](/docs/AI-Foundations-for-Technical-Professionals/AI-Agents-and-Agentic-AI/Building-Subagents-Instructions-Tools-and-Delegation/page.md)
* [Human in the Loop Approvals Checkpoints and Guardrails](/docs/AI-Foundations-for-Technical-Professionals/AI-Agents-and-Agentic-AI/Human-in-the-Loop-Approvals-Checkpoints-and-Guardrails/page.md)

## The Ecosystem: MCP, Frameworks, and Automation

* [Why AI Integration Was Broken The NM Problem](/docs/AI-Foundations-for-Technical-Professionals/The-Ecosystem-MCP-Frameworks-and-Automation/Why-AI-Integration-Was-Broken-The-NM-Problem/page.md)
* [MCP Hosts Clients and Servers](/docs/AI-Foundations-for-Technical-Professionals/The-Ecosystem-MCP-Frameworks-and-Automation/MCP-Hosts-Clients-and-Servers/page.md)
* [Demo Connecting an MCP Server](/docs/AI-Foundations-for-Technical-Professionals/The-Ecosystem-MCP-Frameworks-and-Automation/Demo-Connecting-an-MCP-Server/page.md)
* [Orchestration Frameworks LangChain LangGraph and CrewAI](/docs/AI-Foundations-for-Technical-Professionals/The-Ecosystem-MCP-Frameworks-and-Automation/Orchestration-Frameworks-LangChain-LangGraph-and-CrewAI/page.md)
* [Skills and Automation Teaching AI Your Workflows](/docs/AI-Foundations-for-Technical-Professionals/The-Ecosystem-MCP-Frameworks-and-Automation/Skills-and-Automation-Teaching-AI-Your-Workflows/page.md)

## AI Security Essentials

* [Prompt Injection The Top Threat to AI Systems](/docs/AI-Foundations-for-Technical-Professionals/AI-Security-Essentials/Prompt-Injection-The-Top-Threat-to-AI-Systems/page.md)
* [Overprivileged Agents Governance and Least Privilege](/docs/AI-Foundations-for-Technical-Professionals/AI-Security-Essentials/Overprivileged-Agents-Governance-and-Least-Privilege/page.md)
* [Identity Runtime Security and Observability](/docs/AI-Foundations-for-Technical-Professionals/AI-Security-Essentials/Identity-Runtime-Security-and-Observability/page.md)

## Putting It All Together

* [The Full Picture Every Concept in One Architecture](/docs/AI-Foundations-for-Technical-Professionals/Putting-It-All-Together/The-Full-Picture-Every-Concept-in-One-Architecture/page.md)
* [Where to Go Next](/docs/AI-Foundations-for-Technical-Professionals/Putting-It-All-Together/Where-to-Go-Next/page.md)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.