Generating useful and reliable outputs from large language models depends heavily on how you prompt them. In this course, Prompt Engineering for Google Gemini, you’ll learn to use the Gemini large language models efficiently through prompt engineering. First, you’ll explore the basics of prompt engineering. Next, you’ll discover how to call the Gemini models programmatically through their API, as well as the different settings that can be used to drive the most out of these models. Finally, you’ll learn how to craft prompts for specific use cases. When you’re finished with this course, you’ll have the skills and knowledge needed to get the most optimal results from the Gemini language models.
Overview
Generating useful and reliable outputs from large language models depends heavily on how you prompt them. In this course, Prompt Engineering for Google Gemini, you’ll learn to use the Gemini large language models efficiently through prompt engineering. First, you’ll explore the basics of prompt engineering. Next, you’ll discover how to call the Gemini models programmatically through their API, as well as the different settings that can be used to drive the most out of these models. Finally, you’ll learn how to craft prompts for specific use cases. When you’re finished with this course, you’ll have the skills and knowledge needed to get the most optimal results from the Gemini language models.
Taught by
Laurentiu Raducu
