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Unclaimed ProfileThe Claude Code Crash Course: Master Claude Code From Scratch, designed by EduVerse Academy, offers an immersive, expert-level deep dive into building autonomous AI coding agents. Throughout this comprehensive 19-hour curriculum, developers learn to move beyond basic prompt engineering and transition into designing sophisticated agentic workflows. The course unpacks the core mechanics of Claude's developer-focused ecosystem, showing you how to implement robust loops that enable AI systems to independently plan, write, test, and adapt code. Students will explore practical integrations of the Model Context Protocol (MCP) to extend agent capabilities with custom tools, file operations, secure shell executions, and web access. Crucially, the training addresses real-world engineering hurdles such as managing large context windows, implementing stateful memory, preventing infinite loops, and establishing human-in-the-loop approval workflows. Whether you are an AI engineer looking to automate repository-wide maintenance or a software architect building next-generation developer tooling, this course provides the blueprint for engineering reliable, self-correcting, and production-grade autonomous coding agents.
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EduVerse Academy
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EduVerse Academy, led by tech educator Muhammad Hamza, is dedicated to bridging the gap between cutting-edge artificial intelligence and practical software development. With a sharp focus on modern developer workflows, the academy specializes in breaking down complex AI-assisted coding tools into digestible, project-based tutorials. Muhammad Hamza brings a hands-on instructional style to the platform, ensuring that developers, hobbyists, and tech professionals can immediately apply what they learn to real-world scenarios. The academy's primary objective is to empower programmers to write cleaner code faster by leveraging next-generation utilities like Anthropic's Claude Code CLI. Through step-by-step demonstrations, live refactoring sessions, and practical…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Design and build a fully autonomous AI coding agent from scratch.
- Implement agentic loops that allow AI systems to plan, execute, and adapt.
- Create safe and extensible tool systems for file operations, shell commands, and web access.
- Build long-term memory and session persistence for AI agents.
- Manage large contexts using compaction and pruning techniques.
- Engineer sub-agents to handle complex tasks through multi-agent workflows.
- Implement feedback loops for self-correction and error recovery.
- Detect and prevent infinite loops in autonomous AI systems.
- Add approval systems, autonomy controls, and checkpoint management.
- Extend AI agents with custom tools and third-party services using MCP.
Best For
- Experienced software developers seeking to integrate autonomous agents into their engineering workflows.
- AI engineers aiming to master the Claude ecosystem and Model Context Protocol (MCP) implementation.
- Systems architects building custom, production-grade developer tooling for codebases.
- Engineers looking to automate repository maintenance and complex software refactoring tasks.
Not For
- Absolute programming beginners without a solid foundation in coding and software development life cycles.
- Individuals seeking basic prompt engineering tips rather than advanced agentic architectural patterns.
- Learners expecting a non-technical, high-level overview of AI without deep code implementation.
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