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Generative AI in Software Engineering Learning Path

Introduction

Unlock the full potential of your software development lifecycle with cutting-edge generative AI technology. From initial design to final deployment, learn how AI solutions seamlessly integrate into every phase of the SDLC, boosting efficiency, enhancing creativity, and ensuring top-tier quality.

Who will benefit

This learning path, provided by our partner Simplilearn, is aimed at working professionals from a variety of industries and backgrounds. It will specifically benefit anyone working in the following roles:

  • Software Engineers
  • Software  Developers
  • Testers
  • Project Managers
  • Product Owners

Course overview

This course will cover the following topics:

  • Generative AI Fundamentals
  • Software Development Life Cycle
  • Generative AI in Requirement Gathering and Analysis
  • Generative AI in Design Phase
  • Generative AI in Build Phase
  • Generative AI in Testing Phase
  • Generative AI in Deployment Phase
  • Generative AI in Support & Maintenance
  • Generative AI in Project Management
  • Ethical Use of Generative AI in Software Engineering

Course highlights

  • 30 hours of instructor-led online classes
  • Hands on projects

Skills covered

You will learn the following:

  • Understand the fundamentals of Generative AI and its significance in software development.
  • Explore how Generative AI techniques can aid in automating and improving the requirement gathering process
  • Explore how GenAI techniques can be used for tasks like image generation, style transfer, layout generation, prototyping, wireframing and content augmentation
  • Learn how to use AI for writing and completing code efficiently.
  • Utilize AI tools to identify bugs and optimize code performance.
  • Explore how AI can automate and improve the testing process.
  • Leverage NLP for generating and maintaining documentation.
  • Implement AI to automate deployment processes and CI/CD pipelines.
  • Use AI to enhance project management and planning.
  • Understand the ethical implications of using AI in software development and strategies to mitigate bias.

 

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