# AI Fluens

> AI Fluens helps software engineers, engineering managers, and leaders become AI-native. We offer a free, hands-on course on building AI agents, personalized AI upskilling plans, an interactive Studio for building real agents, and a deep glossary and blog on AI engineering.

## Learn — free hands-on course on building AI agents

A nine-module course that takes you from a single LLM call to a production-shaped agent. Each lesson pairs with a build step in AI Fluens Studio.

- [Learn to Build AI Agents](https://aifluens.com/learn): Course hub — all nine modules.
- [Module 1 — LLM foundations](https://aifluens.com/learn/m1-llm-foundations): What an LLM is, LLM vs. agent, prompts and system roles, tokens and context, temperature and sampling.
- [Module 2 — Tool use](https://aifluens.com/learn/m2-tool-use): What a tool is, function schemas, how the model decides to call a tool, the tool loop and failures.
- [Module 3 — Knowledge bases](https://aifluens.com/learn/m3-knowledge-bases): Why agents need a knowledge base, chunking, embeddings, and the ingestion pipeline.
- [Module 4 — Vector search & RAG](https://aifluens.com/learn/m4-vector-search-rag): Retrieval-augmented generation, top-K, vector vs. keyword vs. hybrid search, and citations.
- [Module 5 — MCP & custom tools](https://aifluens.com/learn/m5-mcp-tools): The Model Context Protocol, tool discovery, and connecting an agent to live services.
- [Module 6 — Traces & observability](https://aifluens.com/learn/m6-traces-observability): Spans, trace anatomy, latency and cost, and debugging a failing run.
- [Module 7 — Evals & quality](https://aifluens.com/learn/m7-evals): Automated evals, exact/contains/semantic/LLM-as-judge metrics, datasets, and catching regressions.
- [Module 8 — Guardrails & safety](https://aifluens.com/learn/m8-guardrails): Input and output guardrails, PII, prompt-injection, and safe fallbacks.
- [Module 9 — Agent-to-agent](https://aifluens.com/learn/m9-agent-to-agent): Delegation, router/sequential/parallel patterns, orchestration, and depth/cost limits.

## Glossary

- [AI Glossary](https://aifluens.com/glossary): Definitions for engineers — AI agents, ReAct, MCP, RAG, context windows, prompting, inference, observability, guardrails, compliance, and learning science. Each term links to a full article.

## Blog

- [AI Engineering Blog](https://aifluens.com/blog): Practical articles on AI-assisted software engineering, AI agent architecture, performance optimization, and upskilling strategies.

## Key pages

- [AI Fluens home](https://aifluens.com/): Personalized AI upskill plans for engineers and leaders.
- [AI Fluens Studio](https://aifluens.com/studio): Build a real, working AI agent end-to-end.
- [How it works](https://aifluens.com/how-it-works): How to get your personalized AI upskill plan.
- [Sample plan](https://aifluens.com/sample-plan): Preview a personalized AI upskill plan.
- [Pricing](https://aifluens.com/pricing): Plans and pricing.
- [FAQ](https://aifluens.com/faq): Answers about AI upskilling and AI Fluens.
- [About](https://aifluens.com/about): About AI Fluens.
- [Contact](https://aifluens.com/contact): Get in touch.