Introduction to Developer Efficiency on Google Cloud
- Course Code GO8340
- Duration 1 day
Course Delivery
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Course Delivery
This course is available in the following formats:
-
Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopGenerative 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.
Updated Sept. 2026
Course Schedule
TopTarget Audience
Top- Developers
Course Objectives
TopAfter this course participants should be able to:
- 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).
- 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.
- 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.
- Understand the role of Vertex AI Model Garden.
- Explore models available in Vertex AI Model Garden.
Course Content
Top1- 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
2- 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
- Lab: Using Gemini Throughout the Software Development Lifecycle
3- Prompt Design for Gemini
- Why prompt design is important
- General prompt design tips
- Prompt design for Gemini
- Lab: Prompt Design for Gemini Code Assist
4- 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
- Lab: Leveraging Codey in Your Applications
5- Discovering Model APIs Using Vertex AI Model Garden
- Vertex AI Model Garden
- Model types and solutions
- Model Registry and model deployment
- Fine-tuning models
- Lab: Exploring Vertex AI Model Ga
Course Prerequisites
Top- Google Cloud Fundamentals: Core Infrastructure or equivalent Google Cloud experience.
Test Certification
TopNone