Unlock the full potential of AutoGen to build intelligent, multi-agent systems tailored for real-world applications. This course will empower you with skills to design, develop, and deploy agents capable of collaborative problem-solving, efficient communication, and autonomous decision-making, leveraging the power of AutoGen and OpenAI's tools.
Mastering Multi-Agent Development with AutoGen
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Design and develop multi-agent systems using AutoGen's features and frameworks.
Configure human input modes and implement tools for real-world applications.
Optimize agent communication using sequential, group, and nested chat patterns.
Apply AutoGen to automate workflows, including customer service and report writing.
Skills you'll gain
Details to know
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Recently updated!
January 2025
Assessments
8 assignments
Taught in English
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There are 9 modules in this course
In this module, we will lay the groundwork for your journey into multi-agent system development with AutoGen. We will introduce the basic principles, tools, and context necessary to understand the significance and potential of these systems in real-world applications.
What's included
1 video1 reading
In this module, we will guide you through setting up the essential tools and environment required for working with AutoGen. From configuring your OpenAI API key and setting up your Python installation to organizing your workspace, this module ensures you are ready for a smooth development experience.
What's included
3 videos1 assignment
In this module, we will provide an in-depth crash course on agents, covering their definitions, characteristics, and practical applications. This optional section is designed to give you a strong theoretical foundation and insights into the pivotal role agents play in multi-agent systems.
What's included
3 videos1 assignment
In this module, we will delve deep into AutoGen, starting with its core concepts and progressing to hands-on implementation. You will learn how to create agents, execute code, and design multi-agent conversation frameworks. Through practical exercises and theoretical insights, this module equips you with the expertise needed to master AutoGen’s advanced capabilities.
What's included
12 videos1 assignment
In this module, we will explore the human input modes within AutoGen, enabling you to configure agents for different levels of user intervention. Through practical exercises, you will learn to apply these modes effectively and understand the benefits of LLM caching for enhancing agent efficiency.
What's included
5 videos1 assignment
In this module, we will explore the power of tools in AutoGen to extend agent capabilities. Through hands-on exercises, you will learn to build and deploy tools for both simple operations and complex workflows, including real-world use cases like travel advice and planning.
What's included
5 videos1 assignment
In this module, we will dive into the rich conversation patterns available in AutoGen, ranging from two-agent interactions to nested and group chats. With hands-on exercises and practical examples, you will gain proficiency in configuring and orchestrating complex conversational scenarios to meet diverse use-case requirements.
What's included
10 videos1 assignment
In this module, we will apply AutoGen to real-world scenarios, showcasing its versatility and practical impact. Through guided exercises, you will design and implement agents tailored for customer service, financial reporting, and academic research, building confidence in tackling complex tasks using AutoGen.
What's included
3 videos1 assignment
In this module, we will conclude the course by revisiting the major takeaways and outlining actionable next steps. You’ll gain insights into how to continue your journey, explore advanced topics, and confidently apply what you’ve learned in your professional or personal projects.
What's included
1 video1 assignment
Instructor
Offered by
Recommended if you're interested in Data Management
Scrimba
DeepLearning.AI
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.