Udemy - AI Agents and Multi-Agent Systems with Agentic AI 100 Lab...

AI Agents & Multi-Agent Systems with Agentic AI 100 Labs

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 48m | Size: 1.62 GB

From prompt-only AI experiments to production-grade autonomous agents, MCP, RAG, LLMOps, and Enterprise AI Platforms

What you'll learn
Architect production-grade Agentic AI systems from first principles.
Build autonomous AI agents capable of reasoning, planning, memory management, and tool usage.
Build sovereign AI infrastructure using open-source models and self-hosted enterprise architectures.
Complete a PhD-level capstone project that nstrates real-world Agentic AI engineering capabilities expected by modern employers.
Engineer multi-agent ecosystems that collaborate, coordinate, review, and self-correct.
Master MCP (Model Context Protocol) to expose and consume enterprise-grade tools securely.
Design and deploy Retrieval-Augmented Generation (RAG) platforms using vector databases and enterprise knowledge systems.
Automate complex business workflows with event-driven and human-in-the-loop architectures.

Requirements
No prior AI experience required.
This course starts from the foundations and progressively builds toward enterprise-scale systems.
Recommended Knowledge
Basic computer literacy
Basic understanding of how software applications work
Familiarity with web browsers and command-line interfaces is helpful but not mandatory