Building Applications with Gemini Code Assist

Learn to build applications with Gemini Code Assist, an AI collaborator for developers. Use its IDE and CLI to scaffold apps, debug, refactor, generate tests, and integrate with version control.

4.7

14 Lessons

Updated 3 weeks ago

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LEARNING OBJECTIVES

A foundational understanding of Gemini Code Assist, its core features, and its different versions (IDE vs. CLI)
The ability to set up and authenticate the Gemini CLI and use its command palette for project management
Hands-on experience in scaffolding, generating code, and debugging a real-world application with Gemini’s assistance
Proficiency in leveraging Gemini to refactor code, improve user experience, and automatically generate comprehensive unit tests
Working knowledge of integrating Gemini with a version control system like GitHub for a streamlined workflow
Working knowledge of extending Gemini’s capabilities by integrating it with external protocols like MCP

Learning Roadmap

14 Lessons

Getting Started

Learn how to use AI in your workflow to write cleaner code and gain practical experience through projects.

Course Overview

Introducing Gemini Code Assist

Enhance software development with Gemini Code Assist’s AI-powered collaboration tools.

Meet Your AI Collaborator: An Introduction to Gemini Code Assist

Gemini Code Assist Versions: IDE vs. CLI

Gemini Code Assist vs. Claude Code

Building a Bug Tracker with Gemini CLI

7 Lessons

Develop a professional bug tracker application using Gemini CLI, enhancing collaboration and efficiency.

Gemini Code Assist in IDE

2 Lessons

Enhance coding efficiency and collaboration with Gemini’s setup and inline features in VS code.

Wrap Up

Learn how to build a bug tracker app with Flask and use AI tools to streamline coding and debugging.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

ABOUT THIS COURSE

This course introduces you to Gemini Code Assist, an AI collaborator designed to revolutionize your development workflow. You’ll begin with Gemini’s core features and distinct versions for the command line interface (CLI) and IDE. You’ll build a full-featured application from scratch using Gemini CLI. You’ll learn to scaffold the project, generate code automatically, and use Gemini to debug errors and iteratively improve your application. The course also covers advanced topics like using Gemini for refactoring, enhancing the user experience, and generating robust unit tests. Finally, you’ll learn to integrate your AI-assisted workflow with GitHub for seamless version control and extend Gemini’s power with external protocols like MCP. Finally, you’ll look at Gemini’s IDE version, covering installation and practical application of its powerful inline features within VS Code. By the end of this course, you’ll be able to leverage Gemini Code Assist to write, debug, and manage code efficiently.

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