Mastering Amazon CodeGuru for Python Code Improvement
Learn to enhance Python code quality using Amazon CodeGuru Reviewer. Gain skills in automated code analysis and security vulnerability detection.
Learn to enhance Python code quality using Amazon CodeGuru Reviewer. Gain skills in automated code analysis and security vulnerability detection.
Dive into the world of automated code improvement with this comprehensive course on Amazon CodeGuru Reviewer. Designed for intermediate Python developers, this course offers a deep dive into using machine learning-powered tools to enhance code quality and security. You'll learn to leverage CodeGuru Reviewer to automatically identify issues, detect vulnerabilities, and receive intelligent recommendations for your Python projects. The course covers various workflows, including pull request analysis, repository scans, and CI/CD pipeline integration. Through hands-on exercises with example code, you'll gain practical experience in generating and applying CodeGuru's recommendations. By the end of the course, you'll be equipped to streamline your code review process, improve code quality, and implement AWS best practices in your Python projects.
Instructors:
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What you'll learn
Understand Amazon CodeGuru Reviewer's capabilities and its use of machine learning for code analysis
Master different CodeGuru workflows including pull request analysis and repository scans
Learn to integrate CodeGuru into CI/CD pipelines for continuous code improvement
Identify and resolve common code issues such as concurrency defects and security vulnerabilities
Apply AWS best practices to Python code development
Gain hands-on experience with CodeGuru through practical exercises and example code
Skills you'll gain
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 Python code quality. It covers the fundamentals of CodeGuru, its machine learning capabilities, and how it provides recommendations for code improvement. The course explores different CodeGuru workflows, including pull request analysis, repository scans, and CI/CD pipeline integration. Participants will learn to associate repositories with CodeGuru and generate intelligent recommendations to identify various code issues such as concurrency defects, security vulnerabilities, resource leaks, and sensitive information exposure. The course also covers AWS best practices for coding. Through hands-on exercises, students will gain practical experience in generating and applying CodeGuru's recommendations to real-world Python code.
Fee Structure
Instructor
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.
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Frequently asked questions
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