1 day course

Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

For developers, generative AI is a powerful tool for making coding more efficient and using APIs - such as the PaLM API - within their applications.

During this one-day session, you’ll be introduced to how generative AI can be used to make developers more efficient at writing code and implementing new features into applications.

Throughout the course, you’ll learn principles of prompt design and how to explore the different models available on Google Cloud by using Vertex AI Model Garden.

This Introduction to Developer Efficiency on Google Cloud course is available as a private session and can be delivered via Virtual Classroom or at a location of your choice in South Africa.

Course overview

Who should attend:

This course is ideal for anyone who needs to understand the efficiency challenges in a developer workflow, and who wants to know exactly how generative AI can make developers more efficient.

What you'll learn:

By the end of this course, you will be able to:

Understand the efficiency challenges in a developer workflow and how generative AI can make developers more efficient
Use Gemini AI in Cloud Code to more efficiently write code for your applications
Use Gemini AI in Google Cloud to quickly summarise your application logs
Explain the fundamentals of prompt design when using Gemini AI in Cloud Code
Integrate the PaLM API in your applications to use generative AI
Explore available models available in Vertex AI Model Garden

Prerequisites

We recommend you first attend the Google Cloud Fundamentals: Core Infrastructure course before taking this course.

Course agenda

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 AI Throughout the Development Lifecycle

Introduction to Gemini AI
Cloud Code and Gemini AI
Generating and completing code by using Gemini AI
Understanding logs using Gemini AI

Module 3: Prompt Design for Gemini AI

Why prompt design is important
General prompt design tips
Prompt design for Gemini AI

Module 4: Leveraging Codey in Developer Workflows

Vertex AI 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

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