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Course Outline
Foundations of AI and Code Generation
- The impact of AI on contemporary software development.
- Gaining insight into how AI generates code.
- A broad look at AI-based coding assistants.
Initiating Work with Tabnine
- Installation processes and initial configuration.
- Exploring the features and user interface of Tabnine.
- Leveraging basic code completion and snippet generation.
Mid-Level Strategies in Tabnine
- Personalizing Tabnine settings to align with individual workflows.
- Discovering multi-language capabilities and context-sensitive suggestions.
- Connecting Tabnine with existing version control systems.
Advanced Capabilities of Tabnine
- Deep learning models and sophisticated code prediction techniques.
- Training tailored AI models for distinct coding challenges.
- Fine-tuning Tabnine performance for large-scale projects.
Mastering Tabnine
- Building complex AI models using Tabnine.
- Applying best practices for AI-assisted code reviews.
- Facilitating collaboration with Tabnine in team and enterprise settings.
Recap and Future Directions
Requirements
- A foundational grasp of programming concepts and software development practices.
- An open mindset towards exploring AI and machine learning principles.
Target Audience
- Developers at every proficiency level who are curious about AI and machine learning applications.
21 Hours
