Most AI coding courses end at installing a tool and asking it a question. This one ends with an agent that fixes a real defect and shows you the evidence. The distinction between an agent that did the job and one that claims it did runs through the entire course, and it is the skill that decides whether you can trust these tools at work.

This Course Offers

• Local installation of DeepSeek Harness on Windows, macOS, or Linux with no GPU and no paid API key required
• Provider configuration from scratch, covering Gemini's free tier and explicit free OpenRouter models as a second option, with switching between them without touching your project
• Controlled agent access to files and terminal through read-only, workspace write, and full access modes, plus plan mode and approval review
• Trajectory reading, so you can tell what an agent claims from what it can actually prove, and diagnose the permission failure that stops most beginners
• Custom tooling including persistent project instructions, reusable skills, custom slash commands, and packaging a tool as a plugin you can reuse unmodified

Why We Love This Course

1. It is genuinely free to follow. Free cloud models handle the thinking, with an optional Ollama section for work you cannot send anywhere.
2. The verification focus is unusual and valuable. Reading trajectories and requiring real test output is what separates reliable agent work from confident guesses.
3. The capstone has an automatic fail rule for claiming success without test evidence, which tells you exactly where the course places its priorities.
4. It is honest about the software being a developer preview that ships breaking changes, and teaches you to find current answers rather than memorizing strings that expire.

Coding agents are showing up in real workflows now, and the people who understand how they operate will be the ones trusted to configure them. Do you want to keep hitting paywalls and trusting summaries, or build an agent you can actually audit? Enrollment is open, and no prior AI experience is required.

• This course is perfect for developers who have hit the paywall on AI coding tools and want to keep learning.
• It suits junior and mid level engineers who want to understand how coding agents work rather than just using one.
• Platform engineers, DevOps professionals, and technical leads evaluating agent harnesses before committing a team will find the practical grounding useful.

• An ordinary Windows, macOS, or Linux computer is enough, with no GPU required.
• Node.js version 22.19 or 24 and up is needed, and the course shows you how to check and install it.
• Comfort opening a terminal and running commands, plus enough JavaScript familiarity to spot a bug when pointed out, will help you follow along.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.