learn.agenticoutputs.com
Build real things with AI
A learning portal for people building real things with AI — not just chatting with one. Start with the fundamentals if you need them, then spend five days going from your first agent to a deployed, observable system you'd trust in production. Practical, tool-by-tool, no filler.
Free, self-paced, and grounded in real tools — no signup wall, no filler modules.
Course Catalog
Choose your path
A fundamentals track to get you ready, and focused courses across agents, coding, orchestration, and retrieval.
Prerequisite
Practical Fundamentals
Linux and the terminal, Python environments, git, Postgres and Docker, and setting up an AI coding toolkit. No prior ML experience required.
Start Here
Vibe Coding - From Natural Language to Production
Build real applications by describing what you want in plain English. No coding required - just clear thinking and the right patterns.
Foundations
Prompt Engineering - From First Principles to Production
Design, test, and optimize prompts as an engineering discipline - zero-shot, chain-of-thought, structured output, RAG, safety guardrails, and prompt libraries at scale.
Protocols
Model Context Protocol (MCP) in Practice
Connect AI models to local databases, enterprise APIs, filesystems, and developer tools using the open MCP standard with security sandboxing.
Coding Agent
Claude Code - From First Commit to Agent Teams
Anthropic's autonomous coding agent - print mode, interactive sessions, skills, hooks, subagents, MCP, CI/CD, dynamic workflows, and the Agent SDK.
Google Ecosystem
Google AI Coding Tools: Gemini CLI, Antigravity & Beyond
Google's agentic coding ecosystem - Gemini CLI, Antigravity IDE, Antigravity CLI, SDK, parallel agents, skills, browser-in-the-loop, and enterprise deployment.
The Flagship Course
Five days to a production agent
Hands-On Outcomes
Project outcomes
Watch & Learn
Curated videos that pair with each phase of the curriculum.