Overview
Explore the impact of AI on programming careers and learn how to leverage AI tools to enhance your coding abilities, from bug fixing to code understanding and verification.
Syllabus
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- Introduction to AI in Programming
-- 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
- The Current Role of AI in Software Development
-- AI-powered code completion tools
-- Automated code generation and synthesis
-- AI-driven testing and debugging
- AI Tools and Platforms for Programmers
-- 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
- Enhancing Coding Abilities with AI
-- Leveraging AI for bug detection and fixing
-- Code refactoring and optimization through AI
-- Using AI for improving code readability and documentation
- AI in Code Understanding and Verification
-- AI techniques for static code analysis
-- AI in dynamic code analysis and runtime verification
-- Model checking and formal verification with AI
- The Impact of AI on Programming Careers
-- Job displacement vs. job transformation in programming
-- Skills that differentiate human programmers from AI
-- Adapting to changing roles: Becoming an AI-augmented developer
- Ethical Considerations and Challenges
-- Bias in AI-driven code solutions
-- The responsibility of developers in using AI tools
-- Data privacy and security issues in AI programming tools
- Preparing for the Future
-- Upskilling strategies for developers
-- Continuous learning and professional development in the era of AI
-- Building a portfolio that showcases AI-enhanced coding projects
- Conclusion and Future Outlook
-- 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
Taught by
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On-Demand
