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.

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.

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.

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.

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.

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.

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.

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.