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 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
Testimonials (1)
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