Description
AI Agents & Multi-Agent Systems with Agentic AI 100 Labs is a hands-on course on how to build intelligent AI agents and collaborative multi-agent systems through lab exercises published by Udemy Online Academy. Suitable for AI engineers, developers, Python programmers, and professionals exploring agent-oriented AI, this course covers the complete process of designing, implementing, testing, and orchestrating agents that are capable of reasoning, using tools, managing context, and performing complex tasks. Students will explore agent architecture, tool invocation, memory, scheduling, workflows, agent-oriented communication, multi-agent collaboration, RAG integration, evaluation, and deployment.
When you complete Lab 100, you will have a portfolio project that can demonstrate real-world engineering capability far beyond typical AI training projects. This type of project is typically found in corporate consulting contracts, advanced research programs, and high-level engineering teams. If you want to move beyond guidance and learn how production-level AI systems are built, this course provides the roadmap.
What you will learn in AI Agents & Multi-Agent Systems with Agentic AI 100 Labs:
- 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 demonstrates 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.
- and …
Course specifications
Publisher: Udemy
Instructors: Dar Al Taqniya
Language: English
Level: Introductory to Advanced
Number of Lessons: 112
Duration: 7h 48m
Course topics
AI Agents & Multi-Agent Systems with Agentic AI 100 Labs Prerequisites
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
Pictures
AI Agents & Multi-Agent Systems with Agentic AI 100 Labs introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality:1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.6 GB