Course overview
This beginner-focused Claude Code course provides a thorough walkthrough of the platform's latest capabilities, led by instructor Ansh Lamba. The training begins with installation and configuration for both terminal and IDE environments, then progresses through the conceptual foundations of Large Language Models and the Model Context Protocol. You will explore the Skills 2.0 framework for designing custom skills and learn to build sophisticated multi-agent systems using sub-agents and agent teams. The curriculum also covers practical automation through hooks, loops, and scheduling before concluding with strategies for integrating external tools and deploying Claude Code applications in production environments.
Who this course is for
This course is designed for beginners who want to enter the Claude Code ecosystem with no prior experience required. It serves developers, data professionals, and technical enthusiasts looking to understand agent architecture and automate complex workflows. Anyone aiming to build practical AI coding skills will benefit, especially those interested in bridging the gap between foundational LLM concepts and hands-on platform implementation. The pacing ensures that learners unfamiliar with the Model Context Protocol or custom skill development can follow along effectively.
How to study this sequence
Start by watching the full six-hour lesson sequentially, as each module builds directly on the previous one. Pause frequently to install and configure the Claude Desktop and IDE tools alongside the instructor, ensuring your environment matches the demonstrations. When you encounter sections on custom skills or agent teams, replicate the code and architectures in your own terminal to solidify the concepts. Revisiting the segments on hooks, scheduling, and external API integration will reinforce the automation workflows before you attempt a final deployment exercise.
What you should be able to do
By completing this course, you will be able to install and configure Claude Code, design custom skills using the Skills 2.0 framework, and orchestrate multi-agent systems with teams and sub-agents. You will gain practical experience with the Model Context Protocol, understand how to automate tasks through hooks and scheduling, and possess the foundational knowledge required to extend the platform with plugins and external APIs for production-ready applications.
