OpenCode Masterclass: AI Agents, MCP, Skills & Subagents

Looking for a free AI agents course to upgrade your development workflow? The OpenCode Masterclass: AI Agents, MCP, Skills & Subagents, taught by best-selling instructor Shan Singh, provides a comprehensive path to mastering agentic coding on Udemy. Updated October 2026, this professional training teaches you how to learn AI agents online and implement a provider-agnostic system that runs directly in your terminal. By the end of this course, you will transition from basic prompting to building a sophisticated, autonomous AI coding assistant that manages context and executes complex tasks.

What You'll Learn

• Build custom AI agents using OpenCode to automate repetitive coding tasks and eliminate expensive subscription costs.
• Master Slash Commands to create repeatable, automated workflows that stop the need for rewriting complex prompts.
• Implement the Model Context Protocol (MCP) to connect your AI agent to GitHub, external databases, and Context7.
• Create project-aware AGENTS md files that provide persistent, structured instructions for any specific software project.
• Develop specialized OpenCode Skills for high-value tasks such as data cleaning, data migration, and dashboard generation.
• Analyze and manage context windows and auto-compaction techniques to maintain AI focus during long development sessions.
• Construct Orchestrator and Code Reviewer Subagents to delegate specialized work and ensure high code quality.
• Configure agent safety through Allow, Ask, and Deny permissions to maintain full control over AI-driven filesystem changes.

Course Details

• Instructor: Shan Singh
• Rating: 4.4 stars
• Level: Beginner to Intermediate
• Language: English
• Last updated: October 2026
• Certificate: Yes, upon completion
• Includes: Lifetime access, mobile-friendly content, and access to the OpenCode Marketplace

What This Course Covers

OpenCode Foundation and Setup

• Setting up OpenCode for free using Zen models for a cost-effective start
• Configuring paid provider connections for users requiring specific LLM performance
• Understanding the core agentic loop and how it differs from traditional AI chat
• Mastering the initial terminal setup to run OpenCode as a local development assistant
• Implementing basic navigation and interaction patterns within the agentic environment

Context Management and Project Intelligence

• Managing Sessions and the Resume feature to maintain continuity across long tasks
• Understanding the mechanics of the AI Context Window and its impact on accuracy
• Applying auto-compaction techniques to prevent token overflow and maintain focus
• Writing and maintaining AGENTS md files to give agents a permanent memory of project goals
• Developing strategies for project-aware instructions that reduce hallucination in large codebases

Model Context Protocol (MCP) Integration

• Understanding the architecture of the Model Context Protocol (MCP) for tool connectivity
• Connecting OpenCode to GitHub for seamless repository management and code fetching
• Integrating external databases and Context7 to allow the agent to query real-time data
• Implementing the trust model using Allow, Ask, and Deny permissions for system safety
• Exploring essential MCP servers including Notion, Slack, Jira, AWS, Docker, and Filesystem

Developing Custom OpenCode Skills

• Mastering the Skills architecture using YAML front matter and Markdown instructions
• Building a practical Data Cleaning Skill to handle real-world messy datasets
• Creating a Data Migration Skill for specialized database and schema workflows
• Developing a Dashboard Generation Skill to turn raw data into visual reporting tools
• Learning how to discover, install, and deploy Skills from the OpenCode Marketplace

Advanced Agentic Architecture and Subagents

• Understanding the conceptual difference between Skills and Subagents
• Utilizing built-in subagents such as the Explore, Plan, and General-Purpose agents
• Building a custom Code Reviewer Subagent to automate quality assurance and bug detection
• Constructing an Orchestrator Agent capable of coordinating multiple specialized subagents
• Designing complex, multi-step agentic workflows for end-to-end software development

Who Should Take This Course

• Software Developers who want to implement agentic coding in the terminal without paying for monthly AI subscriptions.
• Users of Cursor, Claude Code, or GitHub Copilot who are seeking a provider-agnostic, open-source alternative they can fully control.
• Data Analysts and Engineers who need to automate repetitive data cleaning, analysis, and reporting workflows using custom agents.
• Freelancers and AI Enthusiasts looking to move beyond basic prompting and build reusable AI-powered toolkits for their clients.
• DevOps Engineers interested in connecting AI agents to infrastructure tools like Docker and AWS via MCP.

Prerequisites

• Basic Terminal Knowledge: You should be comfortable using a command-line interface (CLI) on Windows, macOS, or Linux.
• Fundamental Programming Knowledge: A basic understanding of how code is structured is required to follow the practical exercises.
• No prior experience with Artificial Intelligence or Large Language Models (LLMs) is needed; the course covers the agentic concepts from the ground up.

Why Enroll in This Course

This masterclass offers a unique opportunity to break free from the "subscription trap" of modern AI coding tools. By leveraging a free coupon for a limited time, students can access this high-value training 100% off to build their own sovereign AI development environment. Unlike generic tutorials, this course focuses on the actual architecture of agentic coding, teaching you how to connect your agent to real-world tools via MCP. It is an essential investment for any developer who wants to move from simply "chatting with AI" to "orchestrating AI" to perform professional-grade engineering tasks.

Course Highlights

• Provider-Agnostic Learning: Learn how to switch between free open-source models and paid providers without changing your workflow.
• Hands-on Project Building: You don't just watch videos; you build actual Skills and Subagents that you can use in your daily work.
• Focus on Agency: The course explains the "Agentic Loop," teaching you how AI can plan, execute, and self-correct code.
• Real-world Integrations: Deep dives into GitHub, AWS, and Jira integrations make the learning experience practically applicable.
• Comprehensive Resource Access: Gain insights into the OpenCode Marketplace to extend your agent's capabilities with community-built tools.
• Professional Certification: Receive a recognized Udemy certificate upon completion to showcase your AI agent expertise.

Frequently Asked Questions

Q: Is this course really free? A: Yes, this course is available for free when you use a valid promotional coupon. These coupons are typically available for a limited time, so it is recommended to enroll as soon as possible to secure lifetime access to the materials.

Q: What will I learn in this AI agents course? A: You will learn how to set up OpenCode, a terminal-based AI agent, and extend its power using Model Context Protocol (MCP), custom Skills, and Subagents. The course covers everything from basic setup with free models to building complex Orchestrator agents that can manage entire development projects.

Q: Do I get a certificate after completing this course? A: Yes, upon successfully completing all the lectures and requirements, you will receive a certificate of completion from Udemy. This serves as proof of your skills in agentic coding and AI workflow automation.

Q: Is this course suitable for beginners? A: Absolutely, as long as you have a basic familiarity with the terminal and some programming knowledge. You do not need to be an AI expert or a data scientist to follow along, as the instructor explains the agentic concepts in a clear, step-by-step manner.

Q: How long do I have to enroll for free? A: Free coupons for Udemy courses are usually time-sensitive and have a maximum number of redemptions. To ensure you get the 100% discount, you should enroll immediately before the coupon expires or reaches its limit.

Final Thoughts

The OpenCode Masterclass: AI Agents, MCP, Skills & Subagents is a powerhouse for anyone looking to master the next evolution of software development. By combining the expertise of Shan Singh with the flexibility of open-source tools, this course empowers you to build a customized, autonomous coding assistant. Whether you are a seasoned developer or a data professional, enrolling in this AI agents udemy course is the fastest way to automate your workflow and stay competitive in the age of AI. Start your journey toward agentic coding today!