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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

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We are excited that Learning Tree now offers a deferred direct bill payment option for Booz Allen employees. The deferred direct bill payment option enables employees to enroll in learning opportunities with no upfront costs. This payment option will require the employee to sign a Family Educational Rights and Privacy Act (FERPA) agreement with Learning Tree to release grades/completion to Booz Allen to satisfy the FlexEd Program completion requirement. Note, Learning Tree may also be used for the FlexEd Program reimbursement payment option.

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Private Team Training

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