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Introduction to Developer Efficiency with Gemini on Google Cloud

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,...

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$900 USD
Course Code GCP-INTRO-DEG
Duration 1 day
Available Formats Classroom

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 Gemini and PaLM APIs, 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. You will also explore available models in Vertex AI Model Garden.

Skills Gained

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

Who Can Benefit

Customers

Prerequisites

Google Cloud Fundamentals: Core Infrastructure or equivalent Google Cloud experience.

Course Details

Outline

Developer Efficiency on Google Cloud

  • Developer workflows and efficiency challenges
  • Developer efficiency on Google Cloud
  • AI-powered developer tools on Google Cloud
  • Developer workflows with LLMs

Using Gemini Throughout the Development Lifecycle

  • Introduction to Gemini for Google Cloud
  • Cloud Code and Gemini Code Assist
  • Generating and completing code by using Gemini Code Assist
  • Understanding logs using Gemini

Prompt Design for Gemini

  • Why prompt design is important
  • General prompt design tips
  • Prompt design for Gemini

Leveraging Codey in Developer Workflows

  • Vertex AI Gemini and PaLM API
  • Code generation and completion with Codey
  • Vertex AI Studio
  • Using the Codey API in your code
  • Fine-tuning Codey for specific use cases

Discovering Model APIs Using Vertex AI Model Garden

  • Vertex AI Model Garden
  • Model types and solutions
  • Model Registry and model deployment
  • Fine-tuning models