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Duration 21 hours
Course Outline
Foundations of AI and Code Generation
- The significance of AI in contemporary software development
- Gaining insight into AI-assisted code creation
- A survey of available AI coding assistants
Initiating with Tabnine
- Setting up and performing initial installation
- Exploring the Tabnine interface and core functionalities
- Managing basic code completion and snippet usage
Mid-Level Strategies with Tabnine
- Tailoring Tabnine configurations to suit individual workflows
- Utilizing multi-language capabilities and context-sensitive suggestions
- Connecting Tabnine with version control platforms
Advanced Tabnine Capabilities
- Leveraging deep learning models for complex code prediction
- Training proprietary AI models for distinct coding objectives
- Optimizing Tabnine performance for extensive projects
Mastery-Level Tabnine Application
- Developing complex AI models utilizing Tabnine
- Adopting best practices for AI-supported code reviews
- Collaborating with Tabnine in corporate and team-oriented settings
Recap and Future Directions
Requirements
- A foundational grasp of programming principles and software development practices
- An eagerness to explore AI and machine learning concepts
Target Audience
- Developers at any proficiency level seeking to enhance their skills with AI and machine learning
