
GitHub Copilot, Claude Code and MCP course
- Original title
- GitHub Copilot, Claude Code, MCP, Skills : Dev Bootcamp 2026
- Category
- DevOps
- Course language
- English
- Hosted on
- Udemy
Our analysis
This English-language bootcamp shows how to use AI coding assistants such as GitHub Copilot, Claude Code and Amazon Q across the whole development lifecycle and in several languages. We would recommend it to developers who already code and want concrete examples of these tools applied to their stack, rather than to someone looking to learn programming from scratch.
Who it is for
- Python, Java with Spring Boot, React or PL/SQL developers who want AI assistants in their daily work.
- Selenium automation testers and AWS engineers looking to speed up repetitive tasks.
- Tech leads who need to compare tools before rolling them out to a team.
What it covers
- Pair programming with GitHub Copilot and using Amazon Q for AWS development.
- Claude Code, the MCP architecture and, per the description, a recent section on Agent Skills.
- Prompt engineering aimed at producing useful code.
- Projects in Python, React components, enterprise Java applications, databases and AWS CLI automation.
- Generating unit and integration tests, and test automation with Selenium.
What to keep in mind
- The course is taught in English.
- The description promises a multiple of your current productivity; treat that as marketing. The real gain depends on your ability to review what the AI produces.
- It spans many languages and tools, so depth per stack will be limited; focus on the sections that match your work.
- Several of these tools require a paid subscription or your own account, and their interfaces and features change very often.
- Keep security in mind: check what code and data you share with these assistants, especially on client projects.
Where it fits in a path
This course assumes you can already program in at least one of the languages it covers. If that is not you yet, start with learning Python from scratch or the web developer roadmap, and come back once you can read and fix the code the AI suggests. If you work on the frontend with Angular, our guide on learning Angular gives you the base to apply these tools in that framework. Afterwards, if you are interested in automating processes and not only code, our guide on learning n8n is a good next step.
TintoDev analysis based on the course syllabus, approach and level. Check the free preview on Udemy before buying.
