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Course Outline

Introduction to DeepSeek Coder

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

Setting Up DeepSeek Coder

  • Installation and configuration of the DeepSeek Coder API
  • Integrating DeepSeek Coder with an Integrated Development Environment (IDE)
  • Managing API keys and authentication protocols

Generating Code with DeepSeek Coder

  • Effective use of AI prompts for code generation
  • Creating complete functions and scripts
  • Best practices for reviewing AI-generated code

Debugging and Code Optimization

  • Applying DeepSeek Coder for debugging processes
  • Resolving common programming errors with AI support
  • Refactoring and optimizing code generated by AI

Automating Repetitive Tasks

  • Automating code documentation using AI
  • Generating test cases and unit tests
  • Utilizing AI to facilitate code reviews

Advanced Prompting Techniques

  • Fine-tuning prompts to achieve superior results
  • Chaining prompts to address complex tasks
  • Mitigating limitations and biases in AI-generated code

Integrating DeepSeek Coder into Development Workflows

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

Summary and Next Steps

Requirements

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

Target Audience

  • Programmers seeking to explore AI-assisted coding methodologies
  • Developers looking to automate coding tasks using AI
  • Software engineers aiming to integrate AI-powered tools into their daily workflow
 14 Hours

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