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Amazon Q Developer for the absolute beginners - Hands-on

Packt via Coursera

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Overview

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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.

Syllabus

Course Introduction

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.

Introduction to Amazon Q Developer

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.

Environment Setup and Installation

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.

Amazon Q Developer for Python (Linux Environment)

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.

Amazon Q Developer for Python (with VS Code)

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.

Amazon Q Developer with Existing Code

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.

Amazon Q Developer for DevOps (IaC)

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.

Best Practices & Prompt Engineering for Developers

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.

Conclusion

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.