OpenAI Agent Builder – Create, Automate & Launch Agents

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you’ll gain hands-on experience building and automating AI agents using OpenAI technologies. You'll start by familiarizing yourself with the tools, platforms, and resources necessary for the course, then move on to building your first AI agent. As you dive deeper into OpenAI’s Agent Kit, you will learn how to integrate essential components like workflows, nodes, and widgets into your agents, making them smarter and more interactive. The course will guide you through creating various agent types, including weather, news, FAQ, and classifier agents, and introduce you to advanced topics like MCP servers and the Transform node. Along the way, you'll test, deploy, and evaluate your agents, learning to enhance them for real-world use. As you move through the course, you’ll gain insight into both the theoretical and practical aspects of AI agent building. From creating custom workflows to deploying agents remotely, this course will give you the knowledge and confidence needed to tackle complex AI projects. You’ll also have opportunities to test and improve your agents throughout the course, giving you immediate feedback on your work. This course is perfect for anyone who is looking to dive into the world of AI agent development. Whether you're a beginner or someone with prior experience, you'll find valuable insights to take your skills to the next level. The course offers a structured and practical approach, making it easy to follow along and gain hands-on experience. By the end of the course, you will be able to build, automate, and deploy functional AI agents using OpenAI’s Agent Kit, create custom workflows, integrate dynamic widgets, and deploy agents both locally and remotely. You will also be capable of evaluating agent performance and refining their functionalities for optimal results.

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