DeepSeek Coder for AI-Powered Programming Training Course
DeepSeek Coder is an advanced AI-powered coding assistant designed to help developers generate code, debug errors, and automate repetitive programming tasks.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.
By the end of this training, participants will be able to:
- Understand the capabilities and limitations of DeepSeek Coder.
- Generate high-quality code snippets using AI assistance.
- Utilize DeepSeek Coder for debugging and optimizing code.
- Automate repetitive programming tasks using AI tools.
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.
Course Outline
Introduction to DeepSeek Coder
- Overview of AI-assisted coding
- Introduction to DeepSeek Coder and its features
- Comparison with other AI coding assistants (eg, GitHub Copilot, CodeWhisperer)
Setting Up DeepSeek Coder
- Installing and configuring DeepSeek Coder API
- Integrating DeepSeek Coder with an IDE
- Understanding API keys and authentication
Generating Code with DeepSeek Coder
- Using AI prompts effectively for code generation
- Generating complete functions and scripts
- Best practices for reviewing AI-generated code
Debugging and Code Optimization
- Using DeepSeek Coder for debugging
- Fixing common programming errors with AI assistance
- Refactoring and optimizing AI-generated code
Automating Repetitive Tasks
- Automating code documentation with AI
- Generating test cases and unit tests
- Using AI to assist in code reviews
Advanced Prompting Techniques
- Fine-tuning prompts for better results
- Chaining prompts for complex tasks
- Handling limitations and biases in AI-generated code
Integrating DeepSeek Coder into Development Workflows
- Using AI-powered coding in team collaboration
- Implementing AI-assisted coding in real-world projects
- Security and ethical considerations of AI-assisted development
Summary and Next Steps
Requirements
- An understanding of programming fundamentals
- Experience with at least one programming language (eg, Python, JavaScript, Java, C++)
- Basic knowledge of APIs and how they interact with software
Audience
- Programmers looking to explore AI-assisted coding
- Developers interested in automating coding tasks with AI
- Software engineers who want to integrate AI-powered tools into their workflow
Open Training Courses require 5+ participants.
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