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Multi-Agent Systems using AutoGen and AgentVerse

Design, deploy, and coordinate intelligent multi-agent systems with AutoGen and AgentVerse for collaborative AI automation at scale.
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Course Duration: 10 Hours
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The Multi-Agent Systems using AutoGen and AgentVerse course is an advanced training program tailored for AI developers, system architects, and automation strategists seeking to build collaborative AI agent ecosystems. This course teaches how to use cutting-edge frameworks—AutoGen by Microsoft and AgentVerse—to design and coordinate multiple AI agents that can communicate, reason, and solve problems as a team.
 
What Are Multi-Agent Systems and How Do They Work?
 
A Multi-Agent System (MAS) is a group of autonomous agents that operate in a shared environment to solve complex problems through cooperation, communication, and specialization. Unlike single-agent systems, where one AI handles a task from start to finish, MAS divides labor across different agents, each optimized for a specific role (e.g., researcher, planner, executor, reviewer). These agents work concurrently or sequentially to complete tasks more efficiently and intelligently.
 
Here’s how a typical MAS works:
  1. Task Decomposition: A main agent or coordinator breaks down a task into subtasks.
  2. Agent Assignment: Specialized agents are assigned based on capabilities (e.g., data analysis, content generation, validation).
  3. Inter-Agent Communication: Agents exchange information, negotiate strategies, or validate each other’s output via predefined protocols.
  4. Autonomy & Collaboration: Agents operate independently yet adaptively to complete their portion of the task while integrating feedback from others.
  5. Workflow Execution: The entire system delivers a composite result through continuous loops of task refinement, feedback, and optimization.
AutoGen, developed by Microsoft, provides a framework to easily build LLM-based agents that communicate via chat-like protocols. AgentVerse enhances MAS development by providing environment simulation, visualization, and high-level orchestration for scalable agent experiments and applications.
 
How to Use This Course
 
This course is structured around building real-world multi-agent workflows using AutoGen and AgentVerse. Learners will engage in labs, simulations, and collaborative projects that demonstrate MAS concepts in practice.
  • Start with understanding agent roles and communication protocols.
  • Build simple collaborative tasks with AutoGen and extend them with memory and tools.
  • Scale MAS using AgentVerse for dynamic simulations and performance benchmarking.
  • Apply MAS to real-world use cases like document review, autonomous coding, or business intelligence synthesis.
  • Deploy agent swarms using APIs or containerized services.
By the end of this course, you will be capable of building intelligent agent collectives that solve complex tasks faster and more accurately than single models.

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Course Objectives Back to Top
By the end of this course, learners will be able to:
 
  1. Understand the principles and architecture of multi-agent AI systems.
  2. Design and implement LLM-powered agents using AutoGen.
  3. Orchestrate collaborative workflows between multiple agents.
  4. Simulate dynamic agent environments using AgentVerse.
  5. Assign roles, permissions, and reasoning paths to specialized agents.
  6. Handle agent-to-agent communication and dialogue protocols.
  7. Incorporate memory, tools, and APIs into autonomous agents.
  8. Evaluate MAS performance in terms of task efficiency and collaboration.
  9. Troubleshoot emergent behaviors, loops, and failure cases.
  10. Deploy MAS in real-world applications like research automation, code generation, and collaborative assistants.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Foundations of Multi-Agent Systems
  • What Is a Multi-Agent System (MAS)?
  • Comparison: Single-Agent vs Multi-Agent Architectures
  • Use Cases in AI, Robotics, and Enterprise Automation
Module 2: AutoGen Fundamentals
  • Introduction to AutoGen (Microsoft)
  • Creating Chat Functions and Agent Behaviors
  • Role Assignment and Message Passing
Module 3: Agent Communication & Coordination
  • Agent Prompts and Message Routing
  • Loops, Delegation, and Task Finalization
  • Shared Memory and Message Logging
Module 4: Designing Agent Workflows
  • Planning Multi-Step Tasks Across Roles
  • Combining Tools, APIs, and Agents in a Chain
  • Code Interpreter, Retriever, and Evaluator Agents
Module 5: AgentVerse Overview
  • Introduction to AgentVerse Framework
  • Simulating Agent Interactions
  • Multi-Agent Environment Configuration
Module 6: Collaboration and Conflict Resolution
  • Consensus, Voting, and Redundancy Agents
  • Critique, Peer Review, and Feedback Loops
  • Handling Contradictory Outputs and Loop Escapes
Module 7: Use Case Projects
  • AI Document Reviewer Crew
  • Autonomous Research + Summary + Presentation Builder
  • Developer Team Agent (Planner, Coder, QA, Deployer)
  • Business Insights Generator
Module 8: Deployment and Scaling
  • Exposing Agents via API Endpoints
  • Dockerizing AutoGen and AgentVerse Projects
  • Managing Long-Running Tasks and Fail-Safes
Module 9: MAS Testing and Evaluation
  • Performance Metrics (Latency, Task Accuracy, Redundancy)
  • Monitoring Emergent Behavior
  • Cost Optimization for Multi-Agent Execution
Module 10: Capstone Project
 
  • Design a Real-World MAS (Choose Domain)
  • Integrate AutoGen + AgentVerse + Tools
  • Present Architecture, Demo, and Performance Insights
Certification Back to Top

Upon successful completion of the course, learners will earn the Uplatz Certificate of Expertise in Multi-Agent Systems with AutoGen & AgentVerse. This certification proves that the holder can build and orchestrate collaborative AI systems using multiple LLM-powered agents across different roles. The certificate validates technical proficiency in frameworks like AutoGen and AgentVerse, as well as architectural skills in agent role design, tool integration, communication protocols, and deployment strategies. Ideal for careers in AI engineering, automation design, and enterprise LLM development, this credential showcases your readiness to lead innovation in agent-driven AI solutions. Whether building product copilots, agent-based dev teams, or research bots, this certification positions you at the frontier of AI system design and orchestration.

Career & Jobs Back to Top
The rise of autonomous multi-agent AI systems is reshaping how companies approach complex task automation, decision-making, and intelligent workflows. Professionals who understand how to build and coordinate AI agents across domains are becoming invaluable across AI-first industries.
 
Graduates of this course are eligible for roles such as:
  • Multi-Agent System Developer
  • LLM Orchestration Engineer
  • AutoGen Developer
  • AgentVerse Simulation Specialist
  • AI Workflow Automation Engineer
  • Agent Communication Architect
  • Autonomous Systems Designer
  • AI Research and Infrastructure Engineer
Such professionals work in sectors including SaaS, robotics, business intelligence, financial automation, legal tech, and AI research labs. These roles involve designing intelligent AI ecosystems that reduce human burden, increase efficiency, and scale problem-solving across departments.
 
With the growing emphasis on collaborative agents in open-source tools and enterprise solutions, professionals with AutoGen and AgentVerse experience are in high demand. Compensation in these roles is premium, particularly for those who can build reliable, scalable, and interpretable agent workflows.
 
Whether you’re automating internal operations, building product innovation bots, or running simulations for multi-agent behavior, this course prepares you to become a leader in the next wave of modular, collaborative AI systems.
Interview Questions Back to Top
  1. What is a Multi-Agent System in AI?
    A Multi-Agent System is a collection of autonomous AI agents that communicate and collaborate to complete complex tasks more efficiently than single agents.
  2. What is AutoGen and how does it support multi-agent design?
    AutoGen is a Microsoft framework that lets you define LLM agents and facilitate structured, role-based communication through message-passing protocols.
  3. How is AgentVerse different from AutoGen?
    AgentVerse focuses on multi-agent simulation, visualization, and orchestration, while AutoGen handles core communication and agent logic.
  4. What types of roles can agents play in a MAS?
    Roles include researcher, planner, executor, validator, summarizer, and manager—each with a defined objective and communication behavior.
  5. How do agents communicate in AutoGen?
    Using a message-passing framework where each agent responds to prompts, exchanges context, and executes functions autonomously.
  6. What are emergent behaviors in MAS?
    Unexpected outcomes that arise from complex agent interactions, often useful but sometimes problematic—requiring monitoring and constraints.
  7. How do you avoid infinite loops in agent communication?
    Implement loop limits, end-of-task signals, and context truncation to prevent runaway message cycles.
  8. What is the advantage of using multiple agents over one powerful model?
    Specialization, parallel execution, and enhanced reasoning diversity make MAS more efficient and interpretable for complex tasks.
  9. How can you test and evaluate MAS performance?
    By measuring task success, response time, agent agreement, and cost efficiency across different task configurations.
  10. Can MAS systems be used in real-time applications?
    Yes, with proper architecture, MAS can power real-time assistants, collaborative bots, and backend automation in enterprise systems.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

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A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



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