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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