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 AI Coding Assistants
- Defining AI coding assistants
- The historical progression of AI within software development
- Key advantages and inherent limitations
Underlying Technologies in AI Coding Assistants
- Foundations of machine learning and natural language processing
- Fundamentals of code generation algorithms
- Integrating AI capabilities with existing development tools
Surveying Leading AI Coding Assistant Tools
- Reviewing prominent tools such as GitHub Copilot and IntelliCode
- Practical sessions exploring core functionalities
- Comparative evaluation of different toolsets
Integrating into Basic Workflows
- Configuring AI coding assistants within an IDE
- Leveraging AI support for straightforward coding challenges
- Tailoring assistant settings to specific project needs
Ethical Implications and Responsible Usage
- Addressing bias and fairness issues in AI models
- Establishing guidelines for ethical and responsible application
- Managing privacy and security risks
Practical Project Work
- Implementing AI coding assistants in a small-scale project
- Conducting peer reviews and exchanging feedback
- Reflecting on improvements and key takeaways
Conclusion and Future Directions
Requirements
- Foundational knowledge of software development
- Practical experience with at least one programming language (such as Python or JavaScript)
Target Audience
- Software developers
- Product managers
- Technical team leaders
14 Hours
Testimonials (1)
The way you use the copilot, more rule more close to what you need.