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.