Agentic AI Mastery: Claude Code, Clawdbot & Beyond

Source: https://www.udemy.com/course/agentic-ai-mastery-claude-code-clawdbot-beyond/

What you’ll learn

Design and implement multi-agent AI systems using structured roles like planner, executor, validator, and refactorer
Build production-ready workflows with Claude Code, including skills, structured workflows, guardrails, and secure integrations
Develop personal and enterprise-grade agents using Clawdbot / OpenClaw, memory systems, and semantic retrieval
Architect event-driven, scalable agent systems with orchestration, logging, reporting, and cost tracking
Apply human-in-the-loop governance, policy enforcement, and safety patterns for responsible autonomous execution
Create a complete agentic AI capstone project with architecture diagram, GitHub repo, demo video, and portfolio case study

Requirements

Basic understanding of Python or JavaScript (comfortable reading and modifying code)
Familiarity with APIs, REST concepts, and JSON
Basic knowledge of Git and GitHub for version control
General understanding of how LLMs or generative AI models work (no advanced math required)
A laptop or desktop computer capable of running development tools
Ability to install software locally (CLI tools, code editor, package managers)
Willingness to experiment, debug, and build hands-on projects
No prior experience with agent frameworks is required — everything needed to build production-ready agent systems is covered step-by-step in the course