AI-Powered Programming With Google Jules AI Coding Agent

Your new coding teammate is Jules AI. Learn how to collaborate without losing your edge. Unlock the power of AI Coding.

What you'll learn
- Understand what Jules AI coding agent is and how it fits into the software engineering workflow
- Collaborate with Jules for different programming use cases
- Create parallel asynchronous coding tasks using Jules
- Build a Go & PostgreSQL application from scratch using only Jules
- Use Jules to enhance existing Python application

Requirements
- Basic coding and experience with at least one programming language
- Familiar with GitHub (or other Git based version control)

Description
The Future of Software Engineering is Here. Are You Ready?

The software development world is at a turning point. With the rapid rise of AI assistants and coding agents, the way we build, debug, and manage code is undergoing significant changes.

AI is not here to replace developers. However, if developers fail to learn how to use AI effectively and responsibly, they risk losing control over the tools that shape the future of their work.

This course will teach you to collaborate with Jules, an advanced AI coding agent that's far more than a code suggestion tool. You'll learn how to stay in the driver's seat while gaining the speed, insight, and power of AI.

What You Will Learn

This course is designed to help you maximize the benefits of AI coding agents while maintaining full control over your decisions and designs.

You will learn to:

Collaborate with an AI coding agent on real development tasks like debugging, architecture planning, and feature building.

Distinguish AI coding agents from traditional AI assistants like GitHub Copilot, ChatGPT, or code autocomplete tools.

Examine how Jules handles day-to-day engineering problems, from fixing a bug across multiple files to generating integration tests and documentation.

Why Use an AI Coding Agent?

AI coding agents like Jules are not just suggestion tools—they are context-aware collaborators. They can help:

Manage larger chunks of logic or entire systems.

Remember the project context across sessions.

Offer more strategic help during software design.

Handle multi-step tasks and follow-up questions.

Used well, a coding agent becomes a thinking partner—something that accelerates your work without replacing your judgment.

Benefits of Collaborating with Jules

Increased productivity: Reduce time spent on repetitive or boilerplate code

Smarter debugging: Get real help on tricky bugs, even across multiple files

Better architecture: Use AI input to refine design patterns and code organization

Faster iteration: Test and adjust features more quickly with AI-powered feedback

Challenges You'll Learn to Manage

Working with AI also brings new responsibilities. In this course, you'll learn to:

Avoid over-reliance on automation

Communicate effectively with the AI through clear prompts and goals

Recognize when AI is uncertain or wrong

Protect code quality, maintainability, and security

Stay accountable for the final product, even when AI contributes

Who This Course Is For

Software engineers who want to stay ahead of the AI transformation in development

Developers interested in deeper collaboration with intelligent tools

Teams looking to improve workflow using AI without compromising code quality

Take the Next Step

Artificial intelligence (AI) will shape the future of development. The question is: will you shape it, or will it shape you?

Learn how to work with Jules.

Stay in control. Build faster. Build smarter.

And stay relevant in the new era of AI-augmented development.

Who this course is for:
- Software engineers looking to integrate AI-powered coding agents into their jobs
- Technology leaders exploring alternatives to enhance software engineering workflows
- Entrepreneurs who code and want to ship products faster with limited resources
- Computer science students wanting to learn a breakthrough in the AI-powered coding world
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