Generative AI in Software Engineering Learning Path

About the subject
About the programme

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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