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Coursera

Generative AI for Code Efficiency and Auto-Generation

Packt via Coursera

Overview

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This course teaches developers how to harness the power of Amazon Q Developer, a generative AI assistant designed to streamline coding workflows. By learning to integrate AI into daily development tasks such as code generation and security scanning, developers can significantly boost their productivity. Throughout the course, you will explore how AI can automate repetitive tasks, provide coding suggestions, and enhance software development efficiency. The course focuses on real-world applications, showing you how to implement AI-driven solutions that solve practical challenges in software development. What sets this course apart is its focus on hands-on integration with Amazon Q Developer. Combining theory with real-world examples, you will gain the ability to customize the AI assistant for your own coding standards and workflows. This course is perfect for software developers and data engineers who are looking to improve their productivity through the use of AI. A basic understanding of coding is required to fully benefit from the content. This course is part one 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

  • Introduction to Generative AI-Powered Assistants
    • In this section, we explore generative AI's role in software development, focusing on code generation, challenges, and AI assistant strategies.
  • Introducing and Setting Up Amazon Q Developer
    • In this section, we cover setting up and using Amazon Q Developer for generative AI-powered developer assistance and AWS integration.
  • Understanding Auto-Code Generation Techniques
    • In this section, we explore prompt types for auto-code generation, including single-line, multi-line, and chain-of-thought prompts, to enhance developer productivity and code accuracy using LLMs.
  • Boost Coding Efficiency for Python and Java with Auto-Code Generation
    • In this section, we explore AI-powered auto-code generation for Python and Java, focusing on weather data analysis. It highlights practical applications of tools like Amazon Q Developer to enhance coding efficiency.
  • Boost Coding Efficiency for C and C++ with Auto-Code Generation
    • In this section, we explore C and C++ auto-code generation using Amazon Q Developer, focusing on code efficiency, explainability, and optimization techniques for improved readability and maintainability.
  • Boost Coding Efficiency for JavaScript and PHP with Auto-Code Generation
    • In this section, we explore JavaScript and PHP coding efficiency using Amazon Q Developer for code generation and optimization.
  • Boost Coding Efficiency for SQL with Auto-Code Generation
    • In this section, we cover SQL auto-code generation for DBAs and DEs, with a focus on explainability and optimization.

Taught by

Packt - Course Instructors

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