Udemy
Agentic AI Engineering: Multi-Agent Systems Mastery
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
“This course contains the use of artificial intelligence”The world is entering the era of Agentic AI — where intelligent systems don’t just generate text, but plan, reason, execute tools, and operate autonomously. In this advanced, hands-on course, you will master how to build real-world AI agents, orchestrate multi-agent systems, and deploy production-ready workflows using tools like Claude Code, Clawdbot / OpenClaw, and the most powerful 2026 agent frameworks.
This is not a theory course. It is a builder’s program.
You will design complete agent architectures — from trigger to orchestration, tool execution, guardrails, logging, reporting, and cost tracking. You will implement structured multi-agent collaboration patterns including planner, executor, tester, validator, and refactorer roles. You will learn how to apply context management, memory systems, and event-driven architectures to create scalable AI-native systems.
We dive deep into Claude Code as a next-generation coding agent — including skills, structured workflows, hot-reload mechanisms, MCP integrations, secure credential handling, and block-at-submit safety patterns. You’ll build a secure AI code reviewer that integrates with GitHub and prevents unsafe merges using policy-driven guardrails.
On the personal automation side, you will build powerful second-brain systems using Clawdbot / OpenClaw, connect them to Notion, documents, email, and web sources, and create 24/7 content monitoring and executive briefing agents. You’ll implement semantic retrieval, long-term memory, summarization pipelines, and structured review workflows.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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