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
Download Links
Password: cms.ddpanda.org
