AI-Powered Software Development Certification

Übersicht

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.

Lehrplan

• Course 1: Foundations of Generative AI in SDLC Training
• Course 2: Requirement Gathering and Analysis with GenAI Training
• Course 3: Generative AI in Project Planning Training
• Course 4: Generative AI in Design Phase Training
• Course 5: Generative AI for Code Generation Training
• Course 6: GenAI for Code Migration Tasks Training
• Course 7: Generative AI in Software Testing Training
• Course 8: Generative AI in Deployment Training
• Course 9: Generative AI in Support and Maintenance Training
• Course 10: Ethics in GenAI for Software Engineering Training

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Unterrichtet von

Priyanka Mehta

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Fachgebiete

Computer Science