
Get an overview of what you’ll learn in this course and how it will help you master OpenAI’s AgentKit.
Dive into a hands-on overview that shows you what AgentKit can do in practical, real-world scenarios.
In this lesson, you'll get your own AI companion: the book "AI for Business".
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In this lesson, you will explore how to study on the platform.
Learn how to use Udemy's AI Assistant for streamlining your learning.
Understand what OpenAI’s AgentKit is, how it works, and why it’s transforming the way we build and deploy intelligent AI solutions.
Access all the materials and templates that support your learning journey.
Follow a quick, step-by-step guide to access your AgentKit account and start exploring its features.
Discover how to use pre-built templates in AgentKit to speed up your agent creation process.
Learn about the AI models available in AgentKit and how to choose the right one for your specific use case.
In this lesson, we'll dive into this section.
Get your account ready and properly configured to start building workflows in AgentKit.
Explore the Agent Builder tool and understand its capabilities for designing AI workflows.
Follow a hands-on guide to create your very first functional workflow using Agent Builder.
Learn how to integrate web search into your workflows and format the outputs for practical use.
Learn how to use AgentKit’s Widget Builder to create interactive displays that present information clearly and effectively within your workflows.
Discover how to analyze user input and determine the correct actions for your AI agents.
Learn how to use conditional logic to guide your agent’s workflow based on different scenarios.
Ensure your agent requests confirmation from users before executing important tasks.
Explore the built-in safeguards that help keep your AI agent’s behavior safe and aligned.
Learn how to prevent your agent from mishandling confidential or sensitive information.
Implement filters to block inappropriate or prohibited content from your agent’s responses.
Identify and prevent unsafe or harmful user requests from being processed by your agent.
Learn why workflow templates are essential for streamlining operations and ensuring consistent results across different use cases.
Discover how this template automates and improves data quality by enriching existing datasets with valuable context.
See how the Planning Helper template supports structured project planning and efficient task organization.
Explore how this template enhances customer support workflows, ensuring faster, more accurate responses.
Understand how this template enables smart question-answering based on structured datasets.
Learn how this template simplifies document analysis by automating comparison and highlighting differences.
Find out how this template turns company documentation into an interactive assistant for quick knowledge retrieval.
Discover the logic and capabilities behind the Weather Forecast AgentKit widget and how it processes user requests.
Learn how to craft effective prompts and gather all the necessary resources to power your weather forecast agent.
Set up a secure and reliable workflow by adding guardrails and classifying user input for accurate weather queries.
Enhance your classifier to handle complex inputs and run tests to ensure your agent performs flawlessly.
Create an intelligent retry mechanism that gracefully handles errors when users provide missing or invalid city names.
Implement smart disambiguation so your agent can recognize and correct misspelled or ambiguous city names.
Connect your agent to live APIs to retrieve real-time weather data in JSON format for accurate forecasting.
Bring your agent to life by designing and showcasing a visually appealing weather forecast widget for users.
Learn the essential steps to prepare your AI agent for deployment on the web, from setup to integration.
Get your AI agent project started by setting up the ChatKit starter template on GitHub.
Discover how to deploy your AI agent online using Vercel for fast and seamless web access.
Learn how to personalize your ChatKit widget’s appearance and messaging to match your brand and goals.
Step-by-step guide to embedding your AI agent chat widget into any website effortlessly.
Use a ready-to-go code snippet to quickly integrate your AI agent chat widget without any hassle.
Learn how to streamline your chat widget by hiding unnecessary system messages for a cleaner user experience.
Compare popular AI workflow and agentic automation platforms to understand their strengths, weaknesses, and best use cases.
Explore the responsible use of AI agents and the boundaries of their abilities.
Learn how natural language becomes a powerful tool for programming and interacting with AI agents.
Explore the mindset and principles behind designing intelligent, goal-driven AI agents.
Learn how to design AI agents that address practical challenges and deliver real-world solutions.
Discover how to monetize your AI agent by creating a profitable side hustle from your projects.
Intro
Sort AI tools into buckets
Generative AI
How AI is boost Developers?
Common AI Mistakes Developers See
Prompt Engineering
How to write Good Prompts?
Prompt engineering Techniques
Wrap Up
In this lesson, we'll wrap up the course.
In this lesson, you will learn how to leave a review for the course.
In this lesson, you will learn how to get a certificate.
Unlock the full potential of AI with the Complete AgentKit Guide: Hands-On AI Agents for Any Workflow!
This comprehensive, practical course is designed to teach you how to build, deploy, and manage intelligent AI agents that can automate tasks, streamline workflows, and solve real-world problems. This course contains the use of artificial intelligence.
Whether you’re a developer, software engineer, data enthusiast, product manager, or tech professional, this course provides hands-on experience in creating AI workflows using OpenAI’s AgentKit. You’ll learn how to design workflows that handle complex user inputs, implement conditional logic, apply safety guardrails, and present information via interactive widgets.
Dive into real-world applications: build a fully functional weather widget, automate productivity tasks, and explore workflow templates that can save time and boost efficiency. You’ll also learn how to integrate MCP tools like Gmail, Google Calendar, and Google Drive, enabling your agents to interact with live data and external services seamlessly.
By the end of this course, you’ll be able to:
Build, test, and deploy AI-powered workflows and live apps with AgentKit.
Classify and manage user input, apply “if-else” logic, and ensure safe, responsible agent behavior.
Create practical AI agents that solve real problems, from data enrichment to interactive widgets.
Understand ethical considerations, AI limitations, and strategies to monetize AI projects as side hustles.
With detailed step-by-step guidance, hands-on exercises, and real-world case studies, this course equips you with the skills to confidently create intelligent AI agents that work for you. By the time you finish, you’ll not only understand AgentKit, but you’ll be able to design, deploy, and scale AI agents for any workflow—turning ideas into practical, automated solutions.
Take the leap into AI automation and start building smarter, more efficient workflows today!
This course contains a promotion.
This course is eligible for the Codestars Certificate Authority (CCA) certificate. Students can take the official exam via codestarscom, and those who pass the quiz will receive their CCA certificate. (more details in the course!)