Advanced AI-Powered Coding with DeepSeek Coder

• 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

DeepSeek Coder is an advanced AI-powered development assistant that enhances software engineering by generating, refactoring, and debugging code while integrating into modern development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers, data engineers, and software teams who wish to implement DeepSeek Coder for AI-assisted software development, automation, and optimization.

By the end of this training, participants will be able to:

• Implement AI-assisted code generation and refactoring in large-scale projects.
• Leverage AI-powered debugging to enhance software reliability.
• Integrate DeepSeek Coder into DevOps and CI/CD pipelines.
• Use AI for intelligent automation in software engineering workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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