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Java Code Optimization with Amazon CodeGuru

Discover how Amazon CodeGuru Reviewer's AI-powered analysis can transform your Java development, enabling automated detection of code flaws and security risks.

Discover how Amazon CodeGuru Reviewer's AI-powered analysis can transform your Java development, enabling automated detection of code flaws and security risks.

Enhance your Java development skills with this comprehensive course on Amazon CodeGuru Reviewer. Learn how to leverage machine learning-powered code analysis to automatically identify issues, vulnerabilities, and areas for improvement in your Java code. This course, designed for intermediate Java developers, covers CodeGuru Reviewer's core functionalities, including pull request analysis, repository scans, and CI/CD pipeline integration. Through hands-on exercises, you'll master the art of generating and applying intelligent recommendations to address common coding problems such as concurrency defects, security vulnerabilities, and resource leaks. By the end of this course, you'll be equipped to significantly improve your code review process, enhance code quality, and implement AWS best practices in your Java projects.

Instructors:

English

English

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Java Code Optimization with Amazon CodeGuru

This course includes

2 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,009

What you'll learn

  • Understand Amazon CodeGuru Reviewer's functionality and machine learning approach

  • Master different CodeGuru workflows including pull request and repository scan analysis

  • Integrate CodeGuru Reviewer into CI/CD pipelines for continuous code improvement

  • Generate and interpret intelligent recommendations for code quality enhancement

  • Identify and resolve common coding issues such as concurrency defects and security vulnerabilities

  • Apply AWS best practices in Java development projects

Skills you'll gain

Java
Code Review
Vulnerability Detection
Software Quality Assurance
Amazon Web Services
Machine Learning
CI/CD
Repository Management

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

This course focuses on using Amazon CodeGuru Reviewer to improve Java code quality. Participants will learn how CodeGuru leverages machine learning to provide code improvement recommendations. The curriculum covers various CodeGuru workflows, including pull request analysis, repository scans, and CI/CD pipeline integration. Students will gain hands-on experience in generating and interpreting CodeGuru's intelligent recommendations to identify and resolve issues such as concurrency defects, security vulnerabilities, resource leaks, and sensitive information exposure. The course also emphasizes AWS best practices and efficient coding techniques, providing developers with the skills to enhance their code review process and overall software quality.

Fee Structure

Instructor

Morgan Willis
Morgan Willis

4.8 rating

1,753 Reviews

7,63,815 Students

26 Courses

Senior Cloud Technologist

Morgan Willis is a Senior Cloud Technologist based in the US. Morgan has a background in Software Development, technical training, and has earned 6 AWS Certifications. Morgan has always had a strong passion for technology, has a degree in computer science and has held various jobs throughout her IT career. Outside of the tech world, Morgan is a runner, hiker, and skier and she spends as much time outdoors as possible.

Java Code Optimization with Amazon CodeGuru

This course includes

2 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,009

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.