| Summary: | Google Gemini, ChatGPT, and other applications of Large Language Models (LLMs) have become a mainstream option for generating code and text. But what does that mean for software engineers? How can software engineers best leverage these technologies... and are they destined to take over our work? What skills do software engineers need to get the most out of these tools, and what skills do they need to bring to the table outside the tools? In this course, we'll look at specific examples to better understand the answers to these questions. What you'll learn and how to apply it By the end of this course, you will be able to: Feel confident using LLMs and prompt engineering in your software development. Improve your software engineer literacy with ChatGPT, Gemini, and similar LLMs. Understand how LLMs work and what that means for using them. Practice skills for prompt engineering and LLM output evaluation. This course is for you because You're a software engineer who wants to use LLMs to improve your work and stay competitive. Prerequisites Have Google login credentials to use Gemini or OpenAI login credentials to use ChatGPT (optional, to complete exercises).
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