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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

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