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Building Custom GPTs for Work: Create AI Assistants in Plain Language with ChatGPT (No Code Required)

Building Custom GPTs for Work: Create AI Assistants in Plain Language with ChatGPT (No Code Required)

54mBeginner2025-09-29

Authors

Lucas Soares

Lucas Soares

Course details

If you’ve ever wished you had a personal AI assistant tailored to your exact needs, this course will show you how to build one—with no coding knowledge required. Learn how to design, configure, and deploy your own GPTs to automate repetitive tasks, enhance productivity, and scale your expertise. Whether you work in content, operations, or strategy, AI instructor Lucas Soares shows you how to unlock new ways to work smarter with AI. By the end of this course, you’ll be equipped with the skills you need to create assistants that truly understand your goals and workflows.

Learning objectives
Identify the key differences between ChatGPT and custom GPTs vis-a-vis functionality and customization capabilities.
Describe the steps required to build your own custom GPT, including naming, setting behavior rules, and enabling tools.
Explain how to add and manage custom knowledge sources to enhance your GPT’s performance.
Compare at least three common use cases for custom GPTs and determine which is most appropriate for a given task.
Create a list of effective prompt starters that will guide future users of your GPT to interact productively with it.

Concepts

Introduction

  • From idea to AI - The magic of custom GPTs

Understanding Custom GPTs

  • What is a custom GPT
  • ChatGPT vs. custom GPTs
  • How custom GPTs work

How to Build a Custom GPT

  • Name and describe your GPT
  • Set instructions or behavior rules
  • Add custom knowledge bases
  • Enable tools and capabilities
  • Brainstorm prompt starters for your users
  • Test your GPT by previewing and refining
  • Publish your GPT internally across your workspace

Conclusion

  • Where to continue your AI learning

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