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Introduction to Developer Efficiency with Gemini on Google Cloud
Course 1484
1 DAY COURSE

Price:
Course Outline

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.

Introduction to Developer Efficiency with Gemini on Google Cloud Benefits

  • This course will empower you to:

    • 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.

  • Prerequisites

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

Introduction to Developer Efficiency with Gemini Course Outline

Learning Objectives

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 Gemini Throughout the Development Lifecycle

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

Module 3: Prompt Design for Gemini

  • Explain the fundamentals of prompt design when using Gemini Code Assist.

Module 4: Leveraging Codey in Developer Workflows

  • Use the Vertex AI Gemini API, 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.
Course Dates
Attendance Method

How will you be attending the class?

Selecting 'Live Virtual' allows you to attend remotely from work or home. You will receive email communication well before the class starts with detailed instructions on how to validate your equipment and connect to the classroom for a quality learning experience.

Additional Details (optional)

Private Team Training

Interested in this course for your team? Please complete and submit the form below and we will contact you to discuss your needs and budget.