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Course Outline
AI-Assisted Software Engineering
- Exploring the role of AI in modern software development.
- Capabilities and limitations of AI-assisted coding.
- Differentiating 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 explanations.
- Best practices for reviewing AI-generated code in team environments.
Advanced AI-Powered Debugging
- Using AI to identify and resolve complex bugs.
- Generating unit and integration tests with DeepSeek Coder.
- Employing 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-powered task automation within software teams.
Integrating AI into DevOps and CI/CD Pipelines
- Enhancing DevOps processes with AI-powered automation.
- Leveraging DeepSeek Coder for continuous integration and deployment.
- Addressing security and compliance considerations in AI-assisted software development.
Optimizing Performance with AI
- Refactoring AI-generated code for enhanced efficiency and maintainability.
- Utilizing AI to detect and prevent performance bottlenecks.
- Adopting 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.
- Familiarity with DeepSeek Coder or similar AI-assisted coding tools.
- Knowledge of debugging techniques, code optimization, and software development workflows.
Target Audience
- Developers seeking to streamline coding workflows using AI.
- Data engineers focused on automating and optimizing large-scale scripts.
- Software teams looking to integrate AI into DevOps and CI/CD pipelines.
14 Hours