Description
OpenCode Crash Course: Automate Workflow with Free AI Models. This intensive, hands-on course teaches developers and analysts how to automate their programming workflows in a terminal environment using free AI models and open source tools. This course is designed as a comprehensive, hands-on guide to help participants avoid the hassle of paying for expensive AI subscriptions. In this course, participants learn how to leverage OpenCode as an open source, vendor-independent, and free model-compatible programming agent and build a complete, shareable tool in a short amount of time. This course goes beyond writing simple commands, but instead implements a complete, reproducible automation system that includes custom slash commands, project-specific text files, model-text protocol connections to GitHub and databases, production application skills, and proprietary plugins. Throughout this learning path, participants will clean data, analyze data, and create visual dashboards based on a real-world project involving a sales data set. Learners will learn the inner workings of the OpenCode agent loop, including read, reason, act, and verify, and will learn different programming and build modes to minimize execution errors. Advanced topics such as context window management, model-text protocol principles, skill architecture, and sub-agent design are also covered so that individuals can package and distribute their work as an installable plugin. This course provides users with the necessary tools to fully automate repetitive programming and data analysis tasks with complete mastery of system permissions and security.
What you will learn
- Full and free implementation of open source using various models and the ability to configure paid providers in the shortest possible time
- Master built-in slash commands and build custom commands to create repeatable and shareable workflows
- Writing and testing project-specific files to better understand open source code structure, rules, and limitations
- Understand the basics of the Model Text Protocol and connecting open code to GitHub, databases, and various servers
- Configure an open-source permissions model to precisely control AI agents’ access to different parts of the system
- Building production skills using standard structures including data cleansing and dashboard building skills
- Designing custom subfactors including code review and knowing exactly when to use skills versus subfactors
This course is suitable for people who:
- Developers who want to use agent programming in the terminal without paying subscription fees
- Users of similar tools looking for an open source, independent alternative with full control
- Data analysts and engineers who want to automate cleansing, analysis, and reporting processes with AI agents
- Students, freelancers, and independent developers interested in automating repetitive programming tasks
OpenCode Crash Course: Automate Workflow with Free AI Models Course Details
- Publisher: Udemy
- Instructor: Shan Singh | 300,000+ Students | Best-Selling Instructor
- Training level: Beginner to advanced
- Training duration: 1 hour and 18 minutes
- Number of lessons: 13
Course syllabus as of 2026/10
Prerequisites for OpenCode Crash Course: Automate Workflow with Free AI Models
- 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
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.08 GB