Generative AI in Software Engineering Certification

סקירה כללית

This comprehensive specialization on Generative AI in Software Engineering equips you with the skills to automate, enhance, and accelerate every phase of the software development lifecycle. Begin with AI-powered code generation, multilingual translation, and intelligent refactoring using tools like Amazon CodeWhisperer.

Progress to AI-driven UX prototyping with user behavior prediction and rapid interface creation using tools like Uizard. Conclude with automating software testing, strengthening security, and generating accurate, full-stack documentation using GenAI tools.

To be successful in this course, you should have a basic understanding of programming, UI/UX principles, and software development practices. By the end of this course, you will be able to:

- Automate Code Generation:

Build clean, functional code with AI tools - Enhance UX Design:

Predict user behavior and generate intelligent UI prototypes - Automate Software Testing:

Generate test cases and identify vulnerabilities using GenAI - Strengthen Code Security:

Fix vulnerabilities in real-time across languages - Streamline Documentation:

Generate API and project documentation with AI - Create End-to-End Docs:

Deliver consistent documentation for full-stack systems Ideal for developers, QA engineers, UX designers, and product teams adopting GenAI.

סילבוס

• Introduction
Overview of the course and objectives
Introduction to Generative AI in Software Engineering
Prerequisites: Basic programming, UI/UX principles, software development practices
• Module 1: AI-powered Code Generation
Understanding AI-driven code generators
Using Amazon CodeWhisperer for code suggestions
Writing clean, functional code with AI assistance
• Module 2: Multilingual Code Translation and Refactoring
Automated code translation across programming languages
Refactoring code intelligently with AI tools
Best practices for maintaining code integrity
• Module 3: AI-driven UX Prototyping
Introduction to AI in UX design
Predicting user behavior with machine learning
Creating intelligent UI prototypes using Uizard
• Module 4: Automating Software Testing
Generating test cases automatically
Identifying and addressing vulnerabilities with GenAI
Integrating AI tools into existing testing frameworks
• Module 5: Strengthening Code Security
Real-time vulnerability detection and resolution
Cross-language security practices
Hands-on practice with AI security tools
• Module 6: Streamlining Documentation with AI
Automating API documentation generation
Creating project documentation with AI-driven tools
Ensuring consistency in documentation across platforms
• Module 7: Creating End-to-End Documentation
Generating full-stack system documentation
Best practices for maintaining accurate and comprehensive documentation
• Capstone Project
Apply course concepts to a real-world project
Develop a comprehensive solution incorporating AI tools for full lifecycle development
• Conclusion and Certification
Review of key learnings
Certification assessment and final evaluation
Guidance on practical implementation and further learning paths

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נלמד על ידי

Priyanka Mehta

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נושאים

Computer Science