Introduction to Developer Efficiency with Gemini on Google Cloud

Overview

Generative AI is now at the center of transforming how software is designed, built, run, and managed. For developers, generative AI is a powerful tool for making coding more efficient and using APIs, such as the PaLM API, within their applications.

In this course, you are introduced to how generative AI can be used to make developers more efficient at writing code and implementing new features into applications. Along the way, you learn principles of prompt design and how to explore the different models available on Google Cloud by using Vertex AI Model Garden.

Prerequisites

Have completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience.

Who is this for?

Application developers and others who wish to understand how generative AI on Google Cloud can make development more efficient.

Objectives

• Understand the efficiency challenges in a developer workflow and how generative AI can make developers more efficient.
• Use Duet AI in Cloud Code to more efficiently write code for your applications.
• Use Duet AI in Google Cloud to quickly summarize your application logs.
• Explain the fundamentals of prompt design when using Duet AI in Cloud Code.
• Integrate the PaLM API in your applications to use generative AI.
• Explore available models available in Vertex AI Model Garden.

Outline

Module 1: Developer Efficiency on Google Cloud

• Describe efficiency challenges that developers face.
• Understand how AI-powered tools on Google Cloud can improve developer efficiency.
• Describe developer workflows when using large language models (LLMs).

Module 2: Using Duet AI Throughout the Development Lifecycle

• Use Duet AI in Cloud Code to more efficiently write code for your applications.
• Use Duet AI in Google Cloud to quickly summarize your application logs.

Module 3: Prompt Design for Duet AI

• Explain the fundamentals of prompt design when using Duet AI in Cloud Code.

Module 4: Leveraging Codey in Developer Workflows

• Use the Vertex AI PaLM API and Codey for code generation.
• Integrate Codey into applications by using the API.
• Fine-tune Codey for specific use cases.

Module 5: Discovering Model APIs using Vertex AI Model Garden

• Understand the role of Vertex AI Model Garden.
• Explore models available in Vertex AI Model Garden.