What background knowledge is necessary to enroll into the course?

No prior experience with Amazon Q or AI-assisted development is required. Basic familiarity with Python programming and general development concepts will be helpful, but the course is designed for absolute beginners.

Who is this course for?

This course is ideal for beginner developers, students, or professionals who want to learn how to use AI tools like Amazon Q to streamline coding, automate workflows, and enhance application development. It is also suitable for those curious about integrating AI into DevOps processes.

How long does it take to complete the course?

The course takes approximately 4 hours to complete, with hands-on demonstrations designed to help learners quickly apply concepts in practical scenarios.

How does the course help with real-world development and productivity?

Learners explore real-world use cases of Amazon Q, from building Python applications to deploying infrastructure and writing tests. The course emphasizes productivity enhancements through AI-assisted coding, streamlining workflows, and reducing manual effort in development and DevOps tasks.

How does the course teach responsible and effective AI usage?

The course covers best practices in prompt engineering, responsible AI usage, and verification techniques to reduce hallucinations. Learners gain the skills to write clear prompts, validate outputs, and use AI tools ethically in development projects.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Amazon Q Developer for the absolute beginners - Hands-on

Amazon Q Developer for the absolute beginners - Hands-on

Instructor: Packt - Course Instructors

Included with Learn more

Ask Coursera

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Install, configure, and navigate Amazon Q Developer for Python and DevOps projects efficiently.
Build, deploy, and enhance Python applications with Amazon Q for real-world use cases.
Implement DevOps practices using Terraform, Ansible, and AWS CLI with Amazon Q integration.
Write effective AI prompts, reduce errors, and apply responsible AI practices in development.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 9 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Step into the world of Amazon Q Developer and gain hands-on experience building AI-powered applications from scratch. This course guides you through the essentials of Amazon Q, its developer tiers, real-world use cases, and productivity-enhancing features, equipping you with the skills to start developing with confidence. You will begin with understanding Amazon Q in the broader AI ecosystem, then move to environment setup, CLI installation, and VS Code integration. The course provides step-by-step guidance on creating Python applications, deploying them, and enhancing functionality using Amazon Q’s advanced features. Next, you’ll explore working with existing code, implementing unit tests, documenting applications, and applying DevOps practices with Terraform and Ansible. You’ll also master prompt engineering, responsible AI usage, and output verification to ensure robust development practices. Ideal for aspiring developers, Python programmers, and tech enthusiasts with minimal prior experience, this beginner-level course requires basic programming knowledge and a desire to learn AI-driven development tools. By the end of the course, you will be able to set up Amazon Q Developer, build and deploy Python applications, implement DevOps automation, write effective prompts, and optimize development workflows using AI responsibly.

In this module, we will introduce the course and outline the key concepts you will learn. You’ll gain clarity on the course structure and the hands-on approach designed to accelerate your skills. This module sets the stage for an immersive Amazon Q developer journey.

What's included

1 video1 reading

In this module, we will dive into Amazon Q and its role in the AI ecosystem. You’ll learn the differences between Amazon Q Business and Developer offerings and understand the tiers available. Real-world use cases and productivity benefits will demonstrate the value Amazon Q brings to developers.

What's included

8 videos1 assignment

8 videosTotal 12 minutes

Understanding the AI Ecosystem5 minutes
What is Amazon Q1 minute
Amazon Q Business vs Amazon Q Developer1 minute
Overview of Amazon Q Offerings1 minute
Amazon Q Developer Tiers1 minute
Getting Started with Amazon Q Developer0 minutes
Real-World Use Cases & Key Features2 minutes
How Amazon Q Improves Productivity1 minute

1 assignmentTotal 15 minutes

Introduction to Amazon Q Developer - Assessment15 minutes

In this module, we will guide you through setting up your development environment for Amazon Q. You’ll install the CLI, VS Code plugin, and explore Amazon Q Chat. By the end, you’ll be ready to start hands-on development confidently.

What's included

4 videos1 assignment

In this module, we will focus on developing Python applications in a Linux environment using Amazon Q. You’ll learn to build, deploy, and enhance applications with powerful Amazon Q features. Hands-on demonstrations ensure you gain practical skills for real-world projects.

What's included

3 videos1 assignment

In this module, we will explore Python development using Amazon Q Chat within VS Code. You’ll learn to expand your applications with new features and generate professional documentation. This module bridges hands-on coding with practical project management skills.

What's included

3 videos1 assignment

In this module, we will guide you on improving existing applications with Amazon Q. You’ll learn to refine features, write unit tests, and produce professional documentation. These skills ensure your code is reliable, readable, and production-ready.

What's included

3 videos1 assignment

In this module, we will introduce DevOps practices using Amazon Q. You’ll learn to automate infrastructure deployment with Terraform and Ansible and document workflows for clarity. Hands-on exercises ensure you can manage cloud resources efficiently.

What's included

4 videos1 assignment

In this module, we will focus on advanced best practices for Amazon Q developers. You’ll learn prompt engineering, responsible AI usage, and output verification. These skills ensure high-quality, reliable, and ethical development results.

What's included

3 videos1 assignment

In this module, we will wrap up the course and review all the skills and knowledge you’ve gained. You’ll receive guidance for continuing your Amazon Q journey and applying your learning to real-world projects. This conclusion ensures you’re ready to confidently develop with Amazon Q.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors

Packt

2,044 Courses613,223 learners

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Packt

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Frequently asked questions

This course introduces learners to Amazon Q Developer, a tool designed to help developers leverage AI for coding, automation, and DevOps tasks. It is relevant because Amazon Q simplifies AI-driven development, boosts productivity, and helps beginners navigate AI-powered workflows in real-world programming and cloud environments.

The course provides a hands-on introduction to Amazon Q Developer, covering setup, environment configuration, Python application development, DevOps integration, and best practices in prompt engineering. Learners gain practical experience building, deploying, and enhancing applications while using AI effectively and responsibly.

After completing this course, you will be able to set up Amazon Q Developer in your environment, develop Python applications, integrate AI-driven features, enhance existing codebases, write unit tests and documentation, deploy infrastructure with DevOps tools like Terraform and Ansible, and apply best practices for AI-assisted coding and prompt engineering.

Amazon Q Developer for the absolute beginners - Hands-on

Amazon Q Developer for the absolute beginners - Hands-on

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 9 modules in this course

Course Introduction

What's included

Introduction to Amazon Q Developer

What's included

Environment Setup and Installation

What's included

Amazon Q Developer for Python (Linux Environment)

What's included

Amazon Q Developer for Python (with VS Code)

What's included

Amazon Q Developer with Existing Code

What's included

Amazon Q Developer for DevOps (IaC)

What's included

Best Practices & Prompt Engineering for Developers

What's included

Conclusion

What's included

Instructor

Offered by

Explore more from Software Development

Amazon Q for beginners: Software Development with GenAI

Code Generation with Amazon Q

AI-Powered DevOps and Data Engineering on AWS

Using Amazon Q to Enhance Applications and Developer Productivity

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Unlock access to 10,000+ courses with a subscription

Advance your career with an online degree

Join over 4,700 global companies that choose Coursera for Business

Frequently asked questions

What is Amazon Q Developer for the Absolute Beginners – Hands-on? Why is it relevant?

What is this course about?

What will I be able to do after completing this course?

More questions