Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
Testimonials (2)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.