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Mastering Code Optimization and Customization with AI

Mastering Code Optimization and Customization with AI

This course is part of Generative AI-Powered Assistant for Developers Specialization

Instructor: Packt - Course Instructors

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand how generative AI assistants enhance developer productivity
Integrate Amazon Q Developer with IDEs and AWS services for code suggestions
Customize Amazon Q Developer to align with coding standards and workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

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

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Build your subject-matter expertise

This course is part of the Generative AI-Powered Assistant for Developers Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

Generative AI is transforming software development by enabling intelligent assistants that help developers write, optimize, and troubleshoot code faster. This course focuses on Amazon Q Developer, an AI-powered assistant designed to accelerate coding workflows and improve developer productivity.

You will learn how to integrate Amazon Q Developer into your development environment and use it to generate, explain, and improve code across multiple programming languages. The course also covers practical workflows such as auto-code generation, debugging, feature development, and security scanning while working with AWS services. What makes this course unique is its practical focus on real-world AI-assisted development. You will apply generative AI concepts directly to coding tasks, using Amazon Q Developer to automate repetitive work and streamline the development lifecycle. This course is designed for software developers, application builders, and cloud professionals who want to enhance productivity using AI-powered coding assistants. Basic programming knowledge and familiarity with AWS services are recommended. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

In this section, we explore auto-code generation for CLI and shell scripts using Amazon Q Developer, focusing on system administration tasks, script optimization, and explainability for improved productivity.

What's included

1 video1 reading1 assignment

In this section, we explore auto-code generation for JSON, YAML, and HCL using Amazon Q Developer, focusing on IaC efficiency, code optimization, and practical implementation techniques.

What's included

1 video2 readings1 assignment

In this section, we explore implementing Amazon Q customizations for code support, evaluating performance, and configuring user access and IDE integration to align with internal libraries and coding standards.

What's included

1 video3 readings1 assignment

In this section, we explore code references, their management, and open source compliance. Key concepts include enabling, disabling, and reviewing code suggestions for responsible integration.

What's included

1 video1 reading1 assignment

In this section we, explore using Amazon Q Developer to explain, refactor, and develop code efficiently through plain language prompts.

What's included

1 video4 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Packt - Course Instructors

Packt

1,728 Courses488,803 learners

Offered by

Packt

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Frequently asked questions

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.

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.

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.