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Course Outline
Introduction to AIASE
- Overview of AI in software engineering
- History and evolution of AIASE
- Key concepts and terminology
AI Technologies in Software Development
- Machine learning basics
- Natural language processing (NLP) for code
- Neural networks and deep learning models
Automating Software Development with AI
- AI tools for generating boilerplate code
- Automated code refactoring and optimization
- Functional and unit test code generation
- AI-assisted test case design and optimization
Enhancing Code Quality with AI
- AI for bug detection and code reviews
- Predictive analytics for software maintenance
- AI-powered static and dynamic analysis tools
- Automated debugging techniques
- AI-driven fault localization and repair
AI in DevOps and Continuous Integration/Continuous Deployment (CI/CD)
- AI for build optimization and deployment
- AI in monitoring and log analysis
- Predictive models for CI/CD pipelines
- AI-based test automation in CI/CD workflows
- AI for real-time error detection and resolution
AI for Documentation and Knowledge Management
- Automated generation of docstrings and documentation
- Knowledge extraction from codebases
- AI for code search and reuse
Ethical Considerations and Challenges
- Bias and fairness in AI tools
- Intellectual property and licensing issues
- Future of AI in software engineering
Hands-On Projects and Case Studies
- Working with popular AI tools in software engineering
- Case studies of AIASE in industry
- Capstone project: Developing an AI-augmented software application
Summary and Next Steps
Requirements
- An understanding of software development processes and methodologies
- Experience with programming in Python
- Basic knowledge of machine learning concepts
Audience
- Software developers
- Software engineers
- Technical leads and managers
14 Hours
Testimonials (5)
Method of teaching
Negritu - OMNIASIG VIENNA INSURANCE GROUP S.A.
Course - SoapUI for API Testing
I enjoyed everything as it is all new for me and I can see the added value it can ring to my work.
Zareef - BMW South Africa
Course - Tosca: Model-Based Testing for Complex Systems
It was easy to understand and to implement.
Thomas Young - Canadian Food Inspection Agency
Course - Robot Framework: Keyword Driven Acceptance Testing
Amount of hands-on excersises.
Jakub Wąsikowski - riskmethods sp. z o.o
Course - API Testing with Postman
The trainer explained every functionality thoroughly.
