Who is this course for?

<text variant="body1">This course is designed for developers, tech enthusiasts, and anyone interested in learning how to build AI agents. It is ideal for those who want to explore OpenAI's capabilities and use them to create intelligent, automated agents that can perform various tasks, like answering FAQs, providing weather updates, and more.

How long does it take to complete the course?

The course takes approximately 3 hours to complete. The content is structured to be hands-on and practical, with videos that guide you through building and deploying AI agents step-by-step.

Can I preview a course before enrolling?

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.

When will I have access to the lectures and assignments?

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.

What will I get when I enroll?

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.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

OpenAI Agent Builder – Create, Automate & Launch Agents

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Ce cours n'est pas disponible en Français (France)

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OpenAI Agent Builder – Create, Automate & Launch Agents

Instructeur : Packt - Course Instructors

Inclus avec

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

6 heures à compléter

Planning flexible

Apprenez à votre propre rythme

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

6 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Understand how to set up and utilize OpenAI's AgentKit and Agent Builder to create AI agents.
Gain hands-on experience with AI workflows, nodes, and widget integration for agent automation.
Learn to deploy agents both locally and remotely for real-world applications.
Master data manipulation using advanced nodes like Transform and Set State to enhance agent functionality.

Compétences que vous acquerrez

Catégorie : User Interface (UI)
Catégorie : Agentic systems
Catégorie : Artificial Intelligence
Catégorie : Data Manipulation
Catégorie : Cloud-Based Integration
Catégorie : Workflow Management
Catégorie : LLM Application
Catégorie : Generative AI Agents
Catégorie : AI Integrations
Catégorie : Application Deployment

Outils que vous découvrirez

Catégorie : OpenAI
Catégorie : AI Orchestration
Catégorie : Agentic Workflows
Catégorie : OpenAI API
Catégorie : Python Programming
Catégorie : AI Workflows
Catégorie : Model Context Protocol

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

avril 2026

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6 devoirs

Enseigné en Anglais

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Il y a 6 modules dans ce cours

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.

In this module, we will introduce you to the course structure, outline the prerequisites for building AI agents, and highlight the tools and platforms needed. You'll also get a firsthand look at what you will build by watching a demo showcasing the AI agents throughout the course.

Inclus

3 vidéos1 lecture

In this module, we will guide you through the code and resources necessary for the course. You will be equipped with the tools and knowledge to ensure that you're prepared for each hands-on session and ready to begin building AI agents.

Inclus

1 vidéo1 devoir

In this module, we will explore OpenAI's AgentKit, learning about its core components and deep-diving into the Agent Builder and ChatKit. You'll also gain practical experience by creating agent workflows and adding advanced features such as widgets, classifiers, and user approval nodes.

Inclus

11 vidéos1 devoir

11 vidéosTotal 93 minutes

AgentKit and Agent Builder Deep Dive5 minutes
How To Build AI Agents - Main Components2 minutes
AgentKit Built-in Tools1 minute
Hands-on - Analysing a Template Workflow - Nodes and Testing Workflows9 minutes
Hands-on Walkthrough of Each Node and How They Work Internally12 minutes
Hands-on - Building Our Own Agent Workflow - The Weather or News Agent16 minutes
Hands-on Adding Widgets to Responses - ChatKit and Widget Builder7 minutes
Hands-on - Creating a Widget for the News Agent8 minutes
Hands-on - FAQ Agent with Guardrails6 minutes
Hands-on - Adding a Classifier Agent and User Approval Node19 minutes
Hands-on - Evaluation7 minutes

1 devoirTotal 15 minutes

OpenAI's Agent Kit - Agent Builder and ChatKit Deep Dive - Assessment15 minutes

In this module, we will teach you how to integrate MCP servers into your agent workflows, enabling advanced data management and file storage functionalities. You’ll also take a deep dive into the Transform node and explore complex logic through the creation of dynamic, research-based workflows.

Inclus

5 vidéos1 devoir

5 vidéosTotal 65 minutes

Hands-on - Adding an MCP Server to the Agent Workflow10 minutes
Hands-on Google Drive MCP Server Setup and Testing6 minutes
Hands-on - Data Nodes - The Transform Node Deep dive14 minutes
Hands-on - Set State Node6 minutes
Hands-on - Research Workflow - Capstone Workflow - The While Loop29 minutes

1 devoirTotal 15 minutes

AgentBuild and MCP Servers and the Transform Node - Assessment15 minutes

In this module, we will guide you through the process of deploying agent workflows using ChatKit. You will first test your agents locally and then deploy them remotely, learning how to embed them into websites for real-world use.

Inclus

2 vidéos1 devoir

In this module, we will summarize the key takeaways from the course and provide guidance on your next steps. You’ll receive recommendations for further learning, along with tips on deploying more advanced AI agents in the future.

Inclus

1 vidéo2 devoirs

Instructeur

Packt - Course Instructors

Packt

1 888 Cours517 752 apprenants

Offert par

Packt

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Foire Aux Questions

This course is designed to teach you how to build, automate, and launch AI agents using OpenAI technologies. It is relevant because AI agents are becoming increasingly important in automating tasks, providing intelligent responses, and interacting with users. By learning how to create these agents, you are preparing yourself for a future where AI plays a significant role in various industries, from customer service to data processing.

After completing this course, you will be able to build and deploy your own AI agents using OpenAI's tools. You will have hands-on experience in creating workflows, adding interactive widgets, and incorporating advanced components like classifiers and MCP servers into your agent’s workflow. Additionally, you'll be able to deploy your agents locally and remotely, enhancing your ability to automate tasks and integrate these agents into real-world applications.

No prior experience with AI agents is required, but familiarity with basic programming concepts and how web applications work will be beneficial. The course starts with introductory content, so even if you're new to AI development, you can follow along. It is recommended to be comfortable with using programming tools and understanding basic concepts in software development