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Course Outline

Introduction to DeepSeek Coder

  • Overview of AI-assisted coding
  • Introduction to DeepSeek Coder and its core features
  • Comparison with other AI coding assistants (e.g., GitHub Copilot, CodeWhisperer)

Setting Up DeepSeek Coder

  • Installing and configuring the DeepSeek Coder API
  • Integrating DeepSeek Coder with an IDE
  • Understanding API keys and authentication mechanisms

Generating Code with DeepSeek Coder

  • Effectively utilizing AI prompts for code generation
  • Creating complete functions and scripts
  • Best practices for reviewing AI-generated code

Debugging and Code Optimization

  • Using DeepSeek Coder for debugging
  • Resolving common programming errors with AI support
  • Refactoring and optimizing AI-generated code

Automating Repetitive Tasks

  • Automating code documentation with AI
  • Generating test cases and unit tests
  • Leveraging AI for code review assistance

Advanced Prompting Techniques

  • Fine-tuning prompts for improved outcomes
  • Chaining prompts for complex tasks
  • Managing limitations and biases in AI-generated code

Integrating DeepSeek Coder into Development Workflows

  • Utilizing AI-powered coding in team collaboration
  • Implementing AI-assisted coding in real-world projects
  • Addressing security and ethical considerations in AI-assisted development

Summary and Next Steps

Requirements

  • Fundamental understanding of programming concepts
  • Practical experience with at least one programming language (e.g., Python, JavaScript, Java, C++)
  • Basic familiarity with APIs and their interaction with software

Target Audience

  • Programmers seeking to explore AI-assisted coding methods
  • Developers interested in automating coding workflows with AI
  • Software engineers aiming to integrate AI-powered tools into their development processes
 14 Hours

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