[100% Off] Opencode Masterclass: Build Ai Agents With Free Ai Models
Master Agentic AI by OpenCode : Build AI Agents 10X Faster with agentic coding, Skills , MCP, sub-agents – no paid model
What you’ll learn
- Set up OpenCode for free with Zen models or connect paid providers
- Master Slash Commands and create custom commands for automation
- Understand Sessions, Resume & Context Window Management
- Create project-aware AGENTS md files
- Connect OpenCode to GitHub, Databases & Context7 using MCP
- Configure Allow / Ask / Deny permissions for agent safety
- Build custom Skills for Data Cleaning, Migration & Dashboards
- Install and use Skills from the Marketplace
- Build custom Code Reviewer & Orchestrator Subagents
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
Description
Stop paying for expensive AI coding subscriptions. Start building your own AI-powered coding workflow.
OpenCode is an open-source, provider-agnostic AI coding agent that runs directly in your terminal. This practical crash course takes you from your first OpenCode command to building a structured, reusable agentic coding workflow using Slash Commands, Context Management, AGENTS md, MCP, Skills, and Subagents.
This is not a course about simply typing prompts and hoping for the best. You’ll learn how to turn OpenCode into a reliable AI development assistant that understands your project, uses external tools, follows your instructions, and delegates specialized work to agents
What You’ll Build
Throughout the course, you’ll work with practical, hands-on examples and progressively build your own OpenCode toolkit:
Custom Slash Commands to automate repetitive tasks and stop rewriting the same prompts
A project-aware AGENTS md file that gives OpenCode persistent instructions about your project
MCP connections to GitHub, databases, and documentation using real hands-on examples
A Data Cleaning Skill for handling real-world data problems
A Data Migration Skill for specialized data workflows
A Dashboard Generation Skill for turning data into visual reports
A custom Code Reviewer Subagent that can automatically review your work
A custom Orchestrator Subagent for coordinating specialized tasks
What You’ll Learn
What OpenCode is and how agentic coding differs from traditional coding
How the OpenCode agentic loop works internally
How to set up OpenCode using free models, plus optional paid configuration
How to create and use Slash Commands for repeatable workflows
How Sessions and Resume work when working across longer tasks
How OpenCode’s Context Window works and why context management matters
Auto-compaction and practical techniques for keeping long AI sessions focused
How to write, test, and maintain an AGENTS md file
What MCP (Model Context Protocol) actually is and how it connects OpenCode to external tools
Hands-on MCP integrations with GitHub, databases, and Context7
MCP Tools, Permissions, and the Allow / Ask / Deny trust model
The most useful MCP servers developers should know, including Notion, Slack, Jira, AWS, Docker, and Filesystem
How OpenCode Skills work and why they are useful for specialized workflows
Skills architecture, including YAML front matter and Markdown instructions
How to create your own Data Cleaning, Data Migration, and Dashboard Generation Skills
How to install Skills from the OpenCode Marketplace
What Subagents are and how OpenCode’s built-in agents work
How to use the built-in Explore, Plan, and General-Purpose subagents
How to build your own Custom Subagents for specialized workflows
Skills vs Subagents — when to use each and how they complement one another
How to build an Orchestrator Agent that coordinates complex workflows
Who This Course Is For
This course is designed for developers, data analysts, data scientists, engineers, freelancers, and AI enthusiasts who want to move beyond basic AI prompting and learn how to build practical agentic coding workflows.
It’s especially useful if you want to:
Automate repetitive coding and data tasks
Build reusable AI-powered workflows
Connect your coding agent to external tools and data
Create specialized Skills and Subagents
Understand context management and improve AI reliability
Learn how modern agentic coding systems actually work
You don’t need to be an AI expert. If you’re comfortable working with a terminal and have basic programming knowledge, you can follow along and start building your own OpenCode workflows.
Author(s): Shan Singh | 300,000+ Students | Best-Selling Instructor
