8 Free ChatGPT and Dall-E Courses You Can Finish in an Hour

2. Udemy’s Using ChatGPT to Make Money

  • Budding AI money-makers
  • Length: About an hour

Want to make money out of AI? You’re not alone, but if you’re struggling to get started, then this free course could make those imagined dollars real. The video course, run by Natalie Disque, sets down the basics for using ChatGPT for profit, and covers potential ways to make that happen.

The course won’t make you a millionaire overnight, but will give you a good starting point for creating ideas and starting down the path of generating income from ChatGPT and other AI tools.

If you need some more inspiration, be sure to check out our own guide to making money with ChatGPT.

Learn more about the course here

3. Udemy’s ChatGPT for Beginners: The Ultimate Use Cases for Everyone

  • Best for beginners who prefer video learning
  • Length: 47 minutes

Udemy’s ChatGPT course provides a general overview of OpenAI’s chatbot and is geared toward personal users, professionals, students, and anyone else trying to learn more about how AI can benefit them.

The general purpose course covers a wide range of topics, including how ChatGPT can be used to streamline workflows and improve efficiency at work, as well as how it can be used as a tool in people’s personal lives.

Udemy’s course is taught via on-demand videos. Tutorial videos include a basic intro to the technology, step-by-step setup instructions, tips and tricks for effectively using the chatbot, as well as advice on how to integrate it into your business or personal workflow.

Learn more about the course here

4. Deep Learning AI’s Building Systems with the ChatGPT API

  • Best for ChatGPT users looking to build multi-step systems
  • Length: One hour

If you’ve already grasped the basics of ChatGPT, and are looking to develop your knowledge and use the chatbot to create multi-step systems – this short course should be on your radar.

The program, which is run in collaboration with ChatGPT creator OpenAI teaches students how to build chains of prompts that interact with the completions of prior prompts, systems where Python code interacts with prompts, and customer service chatbots.

The course is suitable for beginners, but you’ll need a basic understanding of ChatGPT and Python to get the most out of it. But don’t worry, the program is taught by Andrew Ng from DeepLearning.AI and Isa Fulford from OpenAI, so even if you’re no AI expert you’ll be in good hands.

Learn more about the course here

5. edX’s Introduction to ChatGPT

  • Best for beginners looking to use ChatGPT for general purposes
  • Length: 1-2 hours

edX’s practical introduction to ChatGPT is designed to give users a comprehensive understanding of the chatbot, its features, and its limitations.

The course is broken down into three modules, with the first one covering how to get started with ChatGPT, the second how to enhance your experience with customizations, and the third how to master more advanced applications like language translation and creative content generation.

Unlike lots of other courses on this list, edX’s introductory course also covers the ethical implications of using ChatGPT, making it ideal for users looking to benefit from the chatbot consciously.

Learn more about the course here

6. Deep Learning AI’s ChatGPT Prompt Engineering for Developers

  • Best for experienced AI developers
  • Length: one hour

Deep Learning AI’s prompt engineering course is designed for AI developers looking to become even more adept at creating prompts using ChatGPT. The course covers how LLM’s work, highlights some best practices for prompt engineering, and reveals how LLM APIs can be used for a variety of tasks including summarizing, interring, transforming text, and expanding.

Like Deep Learning AI’s Building Systems with AI course, the program is run in partnership with OpenAI, and is taught by Isa Fulford and Andrew Ng. The course is also open to beginners with a basic understanding of Python, but is also suitable for advanced machine-learning engineers.

Originally Appeared Here

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About the Author: Rayne Chancer