Course Overview

Welcome to this hands-on course on learning Gemini Code Assist. AI coding tools have quickly gone from experimental to everyday use, helping developers speed up coding and handle repetitive tasks.

But AI is more than just autocomplete. The real value shows up when it can work with the bigger picture of your project, helping you reason through tricky problems, refactor older code, generate solid tests, and keep your documentation up to date.

This course is your guide to mastering that collaboration with Gemini Code Assist. We will move beyond theory to practical, hands-on application, learning how to leverage Gemini not just as a tool for writing code faster, but as a partner for building code better. Across the project, you will learn to delegate tasks, solve complex problems, and integrate AI seamlessly into your professional workflow, from the IDE to the command line.

What will you learn?

By the end of this course, you will have a deep, practical understanding of how to use Gemini Code Assist to enhance your professional development workflow. You will learn to:

• Master the why and the how: Articulate the core challenges of modern development that AI assistants solve and explain how Gemini’s large context window and specialized models work to provide relevant, high-quality assistance.

• Develop proficiency in both core interfaces: Confidently choose between the visually integrated IDE assistant for real-time collaboration and the autonomous Gemini CLI for delegating complex, project-wide automation tasks.

• Adopt an AI-first development mindset: Go beyond simple code completion and leverage Gemini for the full development life cycle, including generating, refactoring, debugging, and testing your applications.

• Build a complete web application: Use the Gemini CLI assistant to build a complete “Bug Tracker” application from the ground up, starting with project scaffolding and ending with a fully tested application.

Intended audience

This course is designed specifically for practicing software development professionals who are looking to integrate advanced AI assistance into their daily work. You will get the most out of this course if you are a:

• Software engineer or developer who is proficient in Python and comfortable working in a modern IDE, looking for ways to accelerate your workflow and build higher-quality applications.

• Generative AI engineer with a solid grasp of core concepts who wants to see how foundation models are applied in the specialized domain of code assistance.

• Team lead or senior developer interested in evaluating how AI tools can boost your team’s productivity, improve code consistency, and streamline the development life cycle.

This course is about applying AI in real projects. We’re not covering Python basics or IDE setup. We’ll assume you already know that. Instead, you’ll learn how to use AI to build on your existing skills and work smarter as a developer.

Prerequisites

To ensure you can focus entirely on mastering Gemini Code Assist, we have designed this course for developers who already have a solid foundation in a few key areas. We assume you have:

• Intermediate proficiency in Python: You should be comfortable with Python’s syntax, data structures, functions, and object-oriented concepts.

• Familiarity with a modern IDE: You should have prior experience working with an IDE like VS Code, including basic code editing, file management, and using an integrated terminal.

• A grasp of core GenAI concepts: You understand what a large language model (LLM) is and have a basic understanding of how to interact with one through prompting.

• Basic web development knowledge: A conceptual understanding of web routes, models, and templates will be beneficial for our project.

Let’s get started with AI-assisted development.