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Duration 14 hours
Course Outline
AI-Assisted Software Engineering
- Exploring the function of AI in contemporary software development
- Assessing the strengths and constraints of AI-assisted coding
- Distinguishing DeepSeek Coder from other AI coding solutions
Scaling AI-Assisted Development for Extensive Codebases
- Efficiently generating and refactoring large-scale code using AI
- Deploying AI-assisted documentation and inline code explanations
- Adopting best practices for reviewing AI-generated code in collaborative settings
Advanced AI-Driven Debugging
- Using AI to detect and resolve complex defects
- Creating unit and integration tests with DeepSeek Coder
- Applying AI for error pattern identification and predictive debugging
Automating Software Development Processes
- AI-supported code reviews and static analysis
- AI-driven generation of CI/CD scripts and configuration files
- Implementing AI-powered task automation within software teams
Integrating AI into DevOps and CI/CD Frameworks
- Enhancing DevOps through AI-driven automation
- Utilizing DeepSeek Coder for continuous integration and deployment
- Addressing security and compliance in AI-assisted development
Performance Optimization via AI
- Refactoring AI-generated code for improved efficiency and maintainability
- Leveraging AI to identify and mitigate performance bottlenecks
- Integrating AI-assisted development into agile methodologies best practices
Practical Applications and Case Studies
- AI-assisted development in extensive software projects
- Industry examples: AI-driven automation in software engineering
- Emerging trends and advancements in AI-assisted coding
Conclusion and Future Directions
Requirements
- Practical experience in programming and software development
- Fundamental knowledge of DeepSeek Coder or comparable AI-assisted coding utilities
- Comprehension of debugging, code optimization, and standard software development lifecycles
Target Audience
- Developers looking to optimize coding workflows through AI
- Data engineers focused on automating and refining large-scale scripts
- Software teams incorporating AI into DevOps and CI/CD frameworks