1-Day Instructor-Led Training
Hands-On Labs
After-Course Instructor-Coaching
Introduction to Developer Efficiency with Gemini on Google Cloud
Course 1484
- Duration: 1 day
- Language: English
- Level: Intermediate
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 Delivery Methods
In-Person
Online
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Introduction to Developer Efficiency with Gemini Information
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
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.
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Introduction to Developer Efficiency with Gemini FAQs
Google Gemini is Google’s family of AI models, designed to power various applications, from natural language processing to code generation and automation. Developed by Google DeepMind, Gemini is the successor to Google Bard and is built to handle text, images, audio, video, and code efficiently.
You’ll work with:
- Gemini AI
- PaLM API
- Google Cloud development tools
The "Introduction to Developer Efficiency with Gemini on Google Cloud" course is a training program designed to enhance developers' productivity using AI-powered tools like Gemini and the PaLM API. While it provides valuable skills and knowledge, it does not offer a formal certification upon completion. Participants will gain practical experience in integrating generative AI into their development workflows, but no official certification credential is awarded.