Course Description
In this course, participants will learn the fundamental concepts of generative AI, including an overview of existing large language models. They will gain hands-on experience using prompt engineering to tailor the responses of generative AI tools, such as OpenAI’s ChatGPT and Google’s Gemini, to produce text, code, images, and other creative content. Participants will also be introduced to more advanced tailoring techniques, such as retrieval-augmented generation and model fine-tuning, which allow for even greater control and customization of the AI's output.
Learning Objectives
- Understand the basic concepts of generative AI and how it works
- Learn how to use prompt engineering to tailor the responses of generative AI tools
- Gain experience using generative AI to produce text, code, images, and other creative content
- Explore more advanced tailoring techniques, such as retrieval-augmented generation and model fine-tuning
- Apply generative AI to real-world tasks and projects
** This course description was created by Google’s Gemini generative model.





