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Coursera

AI-Powered DevOps and Data Engineering on AWS

Packt via Coursera

Overview

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This course introduces Amazon Q Developer, a powerful AI assistant designed to accelerate software development. It helps developers automate repetitive tasks, generate code, and streamline workflows, all of which significantly improve productivity. By integrating generative AI into your development processes, you can quickly create optimized solutions for real-world challenges. The course equips learners with the skills to leverage AI to enhance coding efficiency, from generating code snippets to improving software security. You'll also learn how to seamlessly integrate AI into your IDE and AWS services, creating a smoother development experience. What sets this course apart is its combination of theoretical understanding and practical applications. Real-world case studies and examples demonstrate how generative AI can be used to overcome common coding challenges, from basic code generation to advanced security scanning. Developers, data engineers, and technical professionals with basic coding knowledge will benefit from this course. If you're looking to improve your workflow and productivity with AI, this course is for you. This course is part three 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.

Syllabus

  • Simplifying Scanning and Fixing Security Vulnerabilities in Code
    • In this section, we explore code-security scanning with Amazon Q, focusing on vulnerability detection, types of scans, and resolving security issues effectively.
  • Accelerate Data Engineering on AWS
    • In this section, we explore integrating code assistance tools with AWS services like Glue, EMR, Lambda, and SageMaker to enhance productivity and streamline data engineering workflows.
  • Accelerate Building Solutions on AWS
    • In this section, we explore key steps for building solutions on AWS, focusing on leveraging Amazon Q for troubleshooting and analyzing resources efficiently.
  • Accelerate the DevOps Process on AWS
    • In this section, we cover DevOps challenges, Amazon CodeCatalyst, and Amazon Q's AI-driven tools for automation and collaboration.

Taught by

Packt - Course Instructors

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