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Start 6 June 2026 16:31
Einde 6 June 2026
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Overzicht
Lesprogramma
- Introduction to AI in Programming
- The Current Role of AI in Software Development
- AI Tools and Platforms for Programmers
- Enhancing Coding Abilities with AI
- AI in Code Understanding and Verification
- The Impact of AI on Programming Careers
- Ethical Considerations and Challenges
- Preparing for the Future
- Conclusion and Future Outlook
Overview of AI and its evolution in the tech industry
Importance of AI for modern software development
AI vs. Human creativity and problem-solving in coding
AI-powered code completion tools
Automated code generation and synthesis
AI-driven testing and debugging
Introduction to popular AI tools: GitHub Copilot, Tabnine, Kite
Usage of AI in Integrated Development Environments (IDEs)
Open-source AI frameworks and libraries for developers
Leveraging AI for bug detection and fixing
Code refactoring and optimization through AI
Using AI for improving code readability and documentation
AI techniques for static code analysis
AI in dynamic code analysis and runtime verification
Model checking and formal verification with AI
Job displacement vs. job transformation in programming
Skills that differentiate human programmers from AI
Adapting to changing roles: Becoming an AI-augmented developer
Bias in AI-driven code solutions
The responsibility of developers in using AI tools
Data privacy and security issues in AI programming tools
Upskilling strategies for developers
Continuous learning and professional development in the era of AI
Building a portfolio that showcases AI-enhanced coding projects
Emerging trends in AI and programming
The potential future of AI and its implications for coding jobs
Final thoughts on maintaining a competitive edge in the tech industry
Vakgebieden
Computer Science