Claude Code for Vibe Coding

This program equips developers, engineers, and technical professionals with the practical skills needed to design, manage, and deploy AI-driven software development workflows using terminal-based autonomous agents. Designed for modern AI-first engineering environments, the course emphasizes hands-on learning with Claude Code, structured instruction design, and Model Context Protocol (MCP) to help learners build scalable, production-ready systems efficiently and reliably. You will begin by exploring the foundations of terminal-based AI agents and autonomous coding workflows, gaining clarity on how these systems interpret instructions, execute commands, and interact with development environments. This includes understanding the differences between IDE assistants and terminal agents, how instruction quality impacts execution outcomes, and how developers can shift from manual coding to orchestrating AI-driven tasks. You will also gain hands-on experience setting up Claude Code and running your first commands to establish a strong operational baseline. Building on this foundation, the course introduces advanced task delegation and autonomous feature development. You will learn how to structure clear, multi-step instructions that enable AI agents to build complete features, enhance applications, and handle complex workflows. The curriculum then expands into Model Context Protocol (MCP), where you will explore how AI systems integrate with external tools, APIs, and data sources. Through practical exercises, you will design and implement custom MCP servers, enabling AI agents to interact with real-world systems and extend beyond isolated code generation. Next, the program focuses on integrating autonomous agents into professional development and DevOps workflows. You will gain hands-on experience using Claude Code for automated testing, debugging, and validation, while learning how to incorporate AI into CI/CD pipelines and collaborative engineering processes. The course