OpenCode Crash Course Automate Workflow with Free AI Models

Build autonomous coding agents with OpenCode — MCP, Skills, Sub-agents, Plugins & AGENTS md. No paid AI subscription.

What you'll learn

⚡ Run OpenCode entirely free using Zen models, or configure a paid provider in three minutes — provider-agnostic across 75+ models
⚡ Master built-in slash commands and build your own custom commands for repeatable, shareable workflows
⚡ Write and test a project-aware AGENTS md file so OpenCode understands your codebase, conventions, and constraints
⚡ Understand MCP (Model Context Protocol) from first principles — and connect OpenCode to GitHub, databases, and Context7
⚡ Configure OpenCode's allow, ask, and deny permission model to control exactly what your agents can touch
⚡ Build production Skills with YAML front-matter and Markdown — including a Data Cleaning Skill and a Dashboard Creation Skill
⚡ Design custom sub-agents including a working Code Reviewer, and know exactly when to use a Skill vs a sub-agent

Requirements

❗ No paid AI subscription required — every lesson runs on free models
❗ No prior experience with AI coding agents, OpenCode, or MCP is required - we start from the fundamentals
❗ A computer (Windows, macOS, or Linux) with internet access

Description

Stop paying for AI coding subscriptions. Start running autonomous agents for free.
OpenCode is the open-source AI coding agent built for the terminal — provider-agnostic, MIT-licensed, and able to run entirely on free AI models. This crash course takes you from installation to a packaged, shareable agent toolkit in under four hours.
This is not a course about typing prompts and hoping for the best. You will build a complete, reproducible automation system: custom slash commands, a project-aware AGENTS md file, MCP connections to GitHub and your database, two production Skills, a custom sub-agent, and your own distributable OpenCode plugin.
What you will build
Every hands-on lesson runs against one real case study — a messy retail sales dataset with duplicate orders, inconsistent date formats, currency-formatted text, and missing regions. You will clean it, analyse it, and dashboard it using agents you build yourself.
✨ AData Cleaning Skill that handles real-world data defects through rules you write
✨ ADashboard Creation Skill that turns clean data into visual reporting
✨ ACode Reviewer sub-agent that audits your work automatically
✨ Ashareable plugin bundling your skill, agent, and command into one installable package

What You Will Learn

✨ How the OpenCode agentic loop works internally: read, reason, act, verify
✨ Free setup using Zen models, plus paid configuration in three minutes if you want it
✨ Plan mode vs Build mode, and why separating reasoning from execution reduces errors
✨ Context windows, auto-compaction, and how to keep agents on track in long sessions
✨ Writing and testing an AGENTS md file so your agent understands your project
✨ MCP from first principles: GitHub, database servers, Context7, and the allow/ask/deny trust model
✨ Skills architecture: YAML front-matter and Markdown body, plus installing from the marketplace
✨ Sub-agents vs Skills, and exactly when to reach for each
✨ Packaging and distributing your work as an OpenCode plugin

Who this course is for

⭐ Developers who want agentic coding in the terminal without paying for a subscription — OpenCode runs free on open models
⭐ Claude Code, Cursor, or Copilot users who want a provider-agnostic, open-source alternative they fully control
⭐ Data analysts and engineers who want to automate cleaning, analysis, and reporting workflows with agents they build themselves

Homepage

https://www.udemy.com/course/opencode-course-guide

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