Udemy
MCP : Agent Skill, Claude Code, GenAI Model Context Protocol
Artificial Intelligence · Development
Library / Artificial Intelligence
On Udemy
This course contains the use of artificial intelligence.
Use Claude Code to structure software development tasks, automate developer workflows, and plan AI agent systems. This course is for developers, technically experienced freelancers, and automation builders who already understand basic programming and want a more organized approach to AI-assisted work.
The course contains five extended video modules totaling approximately 4 hours and 17 minutes, with downloadable learner resource packs and a final workbook. Each module covers a different stage of the workflow, from preparing a repository to packaging client deliverables.
What the course covers1. Workspace and repository setup: prepare your coding environment, write project instructions, analyze repositories, and turn ideas into clear development tasks.2. Apps, features, and deliverables: plan before coding, organize project files, work through feature development, debug errors, refactor, and generate tests and documentation. Review and test AI-generated output as part of the process.3. Developer automation: explore terminal workflows, reusable commands, hooks, Git, GitHub Actions, changelogs, release notes, and log analysis.4. AI agent workflows: examine specialist subagents, multi-agent designs, Model Context Protocol (MCP) tool access, skills, and SDK-based automation concepts. Consider permissions, guardrails, and human approval when planning systems.5. Client delivery and freelancing: explore service design, discovery conversations, automation offers, delivery documents, portfolio case studies, templates, and digital products. These lessons cover ways to package technical work; they do not promise clients or income.
Before you start
Basic programming knowledge and familiarity with a terminal, code editor, and Git are expected. To practice, you need a computer, internet access, and access to Claude Code. Tool subscriptions or API usage may cost extra and are not included in the course.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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