AI-Powered Software Development Certification
About this course
This specialization offers a hands-on journey into applying Generative AI across the Software Development Lifecycle (SDLC). Learn to automate key phases from requirement gathering and project planning to design, coding, testing, and deployment using tools like GitHub Copilot, ChatGPT, and Hugging Face Transformers. Generate multilingual requirements, design architecture, refactor legacy code, and enhance testing and release cycles. Explore ethical AI practices to ensure responsible implementation. By the end of this program, you will be able to: - Build AI-Driven Workflows: Apply GenAI across SDLC phases using industry tools - Automate Development Tasks: Use AI for planning, coding, testing, and deployment - Process Unstructured Data: Generate documentation, extract insights, and support localization - Ensure Ethical Compliance: Address AI bias, privacy, and fairness in software systems Ideal for software developers, QA engineers, and tech professionals aiming to integrate Generative AI into real-world software projects.
68/100
CourseAsk score
- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- apply generative AI across various SDLC phases
- automate tasks involved in planning, coding, testing, and deployment
- process unstructured data for documentation and insights
- address AI bias and ensure ethical compliance
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
Coursera
Compared on these lists
Where this course ranks against the alternatives.