Shan Singh | 300

Claude Code 2026: Subagents, MCP,Skills and Plugins Bootcamp

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Claude AI · Online Course

Claude Code 2026: Subagents, MCP,Skills and Plugins Bootcamp Reviews & Product Details

This comprehensive bootcamp, led by Shan Singh, offers an in-depth exploration of Claude Code and Agentic AI, designed specifically for developers looking to accelerate their software engineering workflows. Participants will transition from basic prompt engineering to mastering advanced agentic coding paradigms. The curriculum dives deep into the architecture of modern AI agents, teaching students how to implement subagents, custom skills, slash commands, and hooks. A key focus is placed on the Model Context Protocol (MCP) and integrating custom plugins, enabling developers to build highly autonomous systems that can write, debug, and deploy application code. By working through practical, hands-on projects, learners will understand how to architect resilient workflows and automate complex programming tasks with unprecedented speed. Whether you are an intermediate developer aiming to integrate cutting-edge AI into your daily stack or an AI engineer looking to scale agentic systems, this course provides the practical skills and conceptual foundation needed to build future-ready software 10x faster. You will leave with a robust portfolio of agentic tools and the confidence to deploy them in real-world environments.

Best For

Software developers seeking to integrate AI agents into their daily coding workflows Intermediate engineers looking to master the Model Context Protocol (MCP) Tech professionals aiming to automate complex debugging and deployment tasks Developers interested in building and deploying autonomous agentic sub-systems

Not For

Absolute beginners with no prior programming or software development experience Individuals looking for basic prompt engineering tutorials for non-technical tasks Developers who are not comfortable working with command-line tools or modern IDE environments

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About the Creator

Shan Singh is a dedicated technology educator and software practitioner who has carved a niche for himself by demystifying the most complex corners of the artificial intelligence landscape. With a primary focus on the rapidly evolving ecosystem surrounding Large Language Models, Shan approaches instruction with a pragmatic, hands-on philosophy designed to turn theoretical concepts into production-ready skills. His teaching methodology moves beyond surface-level demonstrations, instead prioritizing deep architectural understanding and the practical application of agentic workflows. As an instructor for advanced courses like the Claude Code 2026 Bootcamp, Shan bridges the gap between emerging development tools and real-world utility. Students recognize him for his ability to break down intricate topics like Model Context Protocol (MCP), subagent orchestration, and complex plugin integration into digestible, logical steps. Shan does not just teach how to use these tools; he teaches the logic required to troubleshoot and scale them within modern development environments. By staying at the bleeding edge of AI innovation, he ensures that his curriculum remains relevant for developers who are eager to maintain a competitive advantage in a shifting technical market. His commitment to clarity, coupled with his persistent exploration of autonomous coding agents, makes him a trusted mentor for those looking to master the next generation of AI-assisted engineering.

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