Course Information
Course Overview
Create AI workflows and Agents fast with OpenAI Agent Kit and Agent Builder. No coding, full automation, real AI results
In this course, you’ll go from AI user to AI builder.
You’ll learn how to design, automate, and deploy real AI agents using OpenAI’s Agent Builder and Agent Kit, even if you’ve never written a line of code.
By the end, you’ll know how to:
Build no-code AI agents that can research, plan, and execute tasks automatically.
Design Deep Research Agents with workflows, guardrails, and approval systems.
Connect your agents to real tools like Zapier MCP, ChatKit, and Vector Stores.
Deploy your own AI assistant on your website or workspace.
Debug, scale, and optimize your agents for marketing, research, and business operations.
This is not theory.
You’ll build real projects from day one.
Projects You’ll Build
Your First AI Agent — “I Want a Raise” simulation: design a reasoning loop with context and approval logic.
Deep Research Agent — a multi-step system that gathers, evaluates, and summarizes information automatically.
AI Assistant for Business — a RAG-powered personal assistant connected to files, docs, and data.
Website AI Chatbot — deploy your agent publicly with ChatKit and custom workflows.
Automation Bridge — integrate your agent with tools like Zapier MCP for real-world workflows.
Every section is deeply practical with projects.
Why This Course
OpenAI’s Agent Builder and Agent Kit are changing how AI gets built — no coding required.
But the tools alone aren’t enough. You need to understand how to think in workflows, how to apply guardrails, and how to make AI useful beyond chat.
This course gives you the complete playbook — from planning and design to automation and deployment — so you can build production-ready AI agents that actually deliver results.
Why Learn from Me
I’m Diogo Resende, a data scientist, AI course creator, and startup founder focused on real-world GenAI applications.
My courses have helped thousands of professionals turn AI from theory into impact.
I don’t waste time with filler or buzzwords
You’ll get practical builds, line-by-line explanations, and tested frameworks used by AI teams today.
By the End of This Course
You’ll have:
A portfolio of working AI agents you can show or deploy.
A full understanding of OpenAI Agent Builder, Agent Kit, and workflow design.
The ability to automate research, operations, and content workflows without writing code.
The confidence to experiment, debug, and improve AI systems on your own.
Stop prompting.
Start building.
Join today and learn how to create AI agents that work for you, powered by OpenAI.
Course Content
- 11 section(s)
- 48 lecture(s)
- Section 1 Introduction to AI Agents and OpenAI Agent Builder
- Section 2 Unlimited Updates
- Section 3 Build a Deep Research Agent with OpenAI Agent Builder
- Section 4 System Message and Jailbreaking
- Section 5 Will you help me?
- Section 6 Your AI Assistant with RAG and MCP
- Section 7 About Your Instructor, Diogo
- Section 8 Build a Website with Lovable
- Section 9 Your AI Product and Marketing Teams
- Section 10 End of Course Feedback
- Section 11 What's Next?
What You’ll Learn
- Build and deploy no-code AI agents using OpenAI Agent Builder., Design Deep Research Agents that can think, loop, and deliver structured JSON outputs., Connect your AI assistant to live tools like Zapier MCP, ChatKit, and Vector Stores for real-world automation., Create and host your own AI-powered website assistant using no-code AI agent platforms., Understand how system messages, guardrails, and workflow templates control AI behavior and safety., Debug, improve, and customize your AI agents for marketing, research, and product tasks.
Skills covered in this course
Reviews
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AArnolly Bautista
Great knowledge shared that will help me think of use cases within my functional area.
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JJose Gaspar
Great Course.
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JJerry van de Hoef
I recently heard about RAG and MCP from a colleague. By watching this course it has opened my mind to the possibilities of these tools and makes me appreciate so much more what my colleague was trying to describe to me. I am looking forward to our next conversation.
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CClaudio Heckler
great instructor, knows his stuff and provides compelling practical examples