Generative AI-Powered Software Engineering with AI Coding Assistants

  • Learn to implement software engineering and development practices through generative AI-powered AI coding assistants such as GitHub Copilot and Amazon CodeWhisperer.
5,130.00

Material Includes

  • Video Lessons - Intuition and Implementations
  • Hands-on Guides for Practice
  • Downloadable Learning Resources
  • Self Assessment

About Course

Welcome to the course "Generative AI-Powered Software Engineering with AI Coding Assistants!". We are thrilled to have you embark on this journey to explore AI coding assistants like GitHub Copilot and Amazon CodeWhisperer and gain a comprehensive understanding of how to use them for automated code generation, code debugging, code integration, code quality and review based on best practices under software engineering.
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What I will learn?

  • Analyse the Technological Landscape of AI Coding Assistants.
  • Create complex coding solutions by strategically leveraging AI-generated suggestions and recommendations.
  • Implement AI coding assistants such as GitHub Copilot and Amazon CodeWhisperer (Amazon Q) into software development processes for efficient code generation and problem-solving.
  • Assess code quality, performance, and vulnerabilities using AI-powered review tools.
  • Critique and refine code suggestions to maintain high software development standards. 

Course Curriculum

Understanding Modern AI Coding Assistants

  • Diving into Modern AI Coding Assistants
    07:10

Building Coding Solutions with AI Assistants

Prompt Engineering with AI Assistants and Advanced Techniques

Prompt Engineering through AI Assistants

Building Coding Solutions with AI Assistants

Using Amazon Q & Code Whisperer for AI-assisted Coding

Building AI Solutions through GitHub Copilot

AI-Assisted Code Review and Quality Techniques

Practical Use-cases on AI Coding Assistants for Software Development

Self-Assessment Quiz

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