Custom GPTs Unleashed: Master Course for 2025

Learn how to create your first custom GPT tailored to your specific needs and preferences.

Create a custom GPT that can recognize mushrooms based on user-provided descriptions or images. The model should also provide culinary recommendations for edible mushrooms and display a safety disclaimer for potentially dangerous or hallucinogenic varieties.

You can choose to build it using the GPT Builder or the configure tab. When you think it behaves well, download the reference prompt to check similarities and differences, and compare outputs and results. Try to improve your own after looking at our simple prompt, but try to get good output with your own prompt first.

Understand the fundamentals of prompt engineering and its role in optimizing GPT interactions.

Master the art of prompting with a 10-step introduction to creating effective prompts

Dive deeper into prompting techniques with practical, real-world examples.

Learn how to use Markdown language to enhance GPT instructions and outputs.

Begin your journey in advanced GPT creation by learning how to integrate custom GPTs with a knowledge base.

Step-by-step guide to building a specialized GPT focused on managing pizza supply logistics.

Enhance your custom GPTs by adding web browsing capabilities, enabling real-time data access.

In this exercise, you'll apply the concepts we've covered by creating a GPT model called "What Sam Thinks." This model will simulate responses based on what Sam Altman might think, drawing from a structured knowledge base and incorporating web browsing capabilities.

You'll begin by uploading a transcription of an interview between Sam Altman and Lex Fridman, which will serve as the knowledge base for your GPT. This document provides the foundational context for the model, allowing it to draw on Sam's perspectives during responses. Next, you'll define the GPT's personality, crafting its tone and style to reflect Sam Altman’s communication style as observed in the interview. This involves setting instructions that guide the GPT to maintain consistency in its responses.

In addition to using the knowledge base, the GPT will also be able to browse the web for current information. This feature will enable it to comment on recent news and topics, blending insights from the interview with up-to-date data.

After setting up your GPT, you'll test it by asking questions about both the interview topics and current events, refining its performance as needed. This exercise will help you develop a sophisticated, responsive GPT model.

Dive into the essentials of creating engaging and effective conversation styles for custom GPTs.

Explore how to generate distinct styles and the criteria for designing effective GPT conversational flows.

Delve into API requests and learn the basics API integration for GPTs.

Get hands-on with building and testing your API integrations using Postman.

Understand the essentials of JSON, YAML, and how to use VSCode to design effective GPT actions.

Learn how to translate schema designs into practical API calls within your custom GPT.

Enhance your skills with expert tips on refining and optimizing GPT actions.

In this exercise, you'll create a GPT model that interacts with the Chuck Norris Facts API, using its three main functions: retrieving joke categories, fetching random jokes from a specific category, and performing open text searches. Your task is to integrate these functions into the GPT so users can easily navigate and use the API.

You'll start by setting up the API through RapidAPI, ensuring you understand how to manage API keys and use the endpoints correctly. The GPT should guide users on how to request categories, select a joke category, and conduct free text searches, creating a smooth and informative experience.

After building and testing your GPT, you'll be encouraged to share your results by posting a link in the comments. In the next chapter, we'll review the solution together, helping you refine your approach.

Start your journey in AI-driven image creation by learning how to generate images with DALL·E using simple prompts.

Dive deeper into the capabilities of DALL·E to explore various image types and their applications.

Gain a thorough understanding of different image styles and how to apply them effectively in DALL·E.

Learn how to enhance the quality of AI-generated images by crafting detailed descriptions of subjects and settings.

Master techniques to optimize the visual quality and consistency of AI-generated graphics.

Discover how to use Zapier to streamline app integrations, enhancing the functionality of your custom GPTs.

Learn by doing as you create a GPT that can manage calendar events through Zapier.

Dive deeper into the mechanics of Zapier, focusing on action IDs and configuration links to maximize integration efficiency.

In this exercise, which serves as the conclusion to our chapter on Zapier, you'll be creating a Spotify assistant using a GPT model, leveraging Zapier's integration capabilities. The assistant will perform three specific actions: creating a playlist, adding a track to that playlist, and then removing the track, leaving the playlist empty once again. This exercise is designed to help you apply what you've learned about using Zapier to automate and integrate actions across different platforms.

To start, you'll set up a Zapier action connected to Spotify. Your GPT will guide the user through creating a playlist by asking for a name and description. Once the playlist is created, the assistant will prompt the user to provide a Spotify URI—this is a unique identifier for a specific track, which you'll retrieve from the track’s URL on Spotify. The assistant will use this URI to add the chosen track to the playlist. Afterward, the assistant will ask for the same URI to remove the track, effectively demonstrating how to automate repetitive tasks using Zapier.

This exercise not only reinforces your understanding of integrating external services like Spotify with GPT via Zapier but also helps you practice creating seamless, conversational flows. By the end of this task, you'll be more confident in using Zapier to automate actions, enabling you to create more complex and interactive GPT models in the future.

Discover how to integrate Python coding capabilities into your GPT for dynamic functionalities.

Dive into Python libraries to expand the functionality and efficiency of your GPT applications.

Learn to automate complex tasks like event budgeting by incorporating Python code into your GPT.

Engage in creating a GPT that can convert audio files, utilizing Python scripting for processing.

Follow a detailed guide to develop a functional audio file converter using your custom GPT.

Learn how to establish and verify your presence in the GPT store to enhance your builder profile.

Master the intricacies of the GPT Store, including how to access, publish, and strategically name your projects.

Explore various strategies to monetize your skills in GPT development and deployment.