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AI, Machine Learning & Data ScienceUdemy2026-6 Edition100% Free Video Course

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

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.

12 Video Lessons
12.5 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
AI Agents & Multi-Agent Systems with Agentic AI 100 Labs
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Course Features:
12.5 hours on-demand video
12 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

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 Curriculum12 Lectures

12 sections • 12.5 hours total length

Prefer offline learning? Download all 12 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

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.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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