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Introduction to Developer Efficiency with Gemini on Google Cloud

  • Length 1 day
Course overview
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Why study this course

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.

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What you’ll learn

This course teaches participants the following skills:

  • 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 summarise 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


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Google Cloud at Lumify Work

Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.


Who is the course for?

Application developers and others who wish to understand how generative AI on Google Cloud can make development more efficient.


Course subjects

Module 1: 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

Module 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

Module 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

Module 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

Module 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 Garden


Prerequisites

To get the most out of this course, participants should have:


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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