Course Outline

AI-Assisted Software Engineering

  • Understanding the role of AI in modern software development
  • Capabilities and limitations of AI-assisted coding
  • How DeepSeek Coder differs from other AI coding tools

Scaling AI-Assisted Development for Large Codebases

  • Using AI to generate and refactor large-scale code efficiently
  • Implementing AI-assisted documentation and inline explanations
  • Best practices for reviewing AI-generated code in team environments

Advanced AI-Powered Debugging

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

Automating Software Development Workflows

  • AI-assisted code reviews and static code analysis
  • Generating CI/CD scripts and configuration files with AI
  • Implementing AI-powered task automation in software teams

Integrating AI into DevOps and CI/CD Pipelines

  • Enhancing DevOps with AI-powered automation
  • Using DeepSeek Coder for continuous integration and deployment
  • Security and compliance considerations in AI-assisted software development

Optimizing Performance with AI

  • Refactoring AI-generated code for efficiency and maintainability
  • Using AI to detect and prevent performance bottlenecks
  • 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

  • Experience with programming and software development
  • Basic familiarity with DeepSeek Coder or other AI-assisted coding tools
  • Understanding of debugging, code optimization, and software development workflows

Audience

  • Developers aiming to streamline coding workflows with AI
  • Data engineers automating and optimizing large-scale scripts
  • Software teams integrating AI into DevOps and CI/CD pipelines
 14 Hours

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