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Course Outline

AI-Assisted Software Engineering

  • Exploring the role of AI in modern software development
  • Examining the capabilities and limitations of AI-assisted coding
  • Distinguishing DeepSeek Coder from other AI coding tools

Scaling AI-Assisted Development for Large Codebases

  • Efficiently generating and refactoring large-scale code using AI
  • Implementing AI-assisted documentation and inline code explanations
  • Adopting best practices for reviewing AI-generated code in collaborative environments

Advanced AI-Powered Debugging

  • Using AI to identify and resolve complex bugs
  • Generating unit and integration tests with DeepSeek Coder
  • Applying AI for error pattern recognition and predictive debugging

Automating Software Development Workflows

  • Conducting AI-assisted code reviews and static code analysis
  • Creating CI/CD scripts and configuration files with AI assistance
  • Implementing AI-driven task automation within software teams

Integrating AI into DevOps and CI/CD Pipelines

  • Enhancing DevOps practices with AI-powered automation
  • Utilizing DeepSeek Coder for continuous integration and deployment
  • Addressing security and compliance in AI-assisted software development

Optimizing Performance with AI

  • Refactoring AI-generated code for improved efficiency and maintainability
  • Detecting and preventing performance bottlenecks using AI
  • Applying best practices for integrating AI-assisted development into agile methodologies

Real-World Applications and Case Studies

  • AI-assisted development in large-scale software projects
  • Industry use cases: AI-powered automation in software engineering
  • Future trends and advancements in AI-assisted coding

Summary and Next Steps

Requirements

  • Proficiency in programming and software development practices
  • Familiarity with DeepSeek Coder or similar AI-assisted coding tools
  • A solid grasp of debugging, code optimization, and standard software development workflows

Target Audience

  • Developers seeking 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 pipelines
 14 Hours

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