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 Duration 14 hours

Course Outline

AI-Assisted Software Engineering

  • Exploring the impact of AI on 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
  • Incorporating AI-assisted documentation and contextual explanations
  • Establishing best practices for reviewing AI-generated code in collaborative settings

Advanced AI-Powered Debugging

  • Utilizing AI to detect and resolve complex bugs
  • Creating unit and integration tests with DeepSeek Coder
  • Leveraging AI for error pattern analysis and predictive debugging

Automating Software Development Workflows

  • Conducting AI-assisted code reviews and static analysis
  • Generating CI/CD scripts and configuration files via AI
  • Deploying AI-driven task automation within software teams

Integrating AI into DevOps and CI/CD Pipelines

  • Enhancing DevOps processes through AI-powered automation
  • Applying DeepSeek Coder for continuous integration and deployment
  • Addressing security and compliance aspects in AI-supported development

Optimizing Performance with AI

  • Refining AI-generated code for better efficiency and maintainability
  • Identifying and preventing performance bottlenecks using AI
  • Adopting best practices for embedding AI-assisted development into agile frameworks

Real-World 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

Wrap-Up and Future Directions

Requirements

  • Proficiency in programming and software development principles
  • Fundamental knowledge of DeepSeek Coder or similar AI-assisted coding utilities
  • Competence in debugging, code optimization, and standard software development lifecycles

Target Audience

  • Developers seeking to optimize their coding routines using AI
  • Data engineers focused on automating and refining extensive scripts
  • Software teams integrating AI technologies into DevOps and CI/CD infrastructures

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