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Course Outline
Introduction to AI and Code Generation
- The role of AI in contemporary software development
- Comprehending code generation through AI
- Overview of AI coding assistants
Getting Started with Tabnine
- Installation and initial setup procedures
- Navigating Tabnine's features and user interface
- Basics of code completion and snippet usage
Intermediate Techniques with Tabnine
- Tailoring Tabnine settings to fit personal workflows
- Exploring multi-language support and context-aware suggestions
- Integrating Tabnine with version control systems
Advanced Tabnine Features
- Deep learning models and advanced code predictions
- Training custom AI models for specific coding tasks
- Optimizing Tabnine for large-scale projects
Expert-Level Tabnine Usage
- Creating sophisticated AI models with Tabnine
- Best practices for AI-assisted code reviews
- Collaborating with Tabnine in team and enterprise environments
Summary and Next Steps
Requirements
- Fundamental knowledge of programming and software development principles
- An eagerness to learn about artificial intelligence and machine learning concepts
Target Audience
- Developers at any stage of their career who are interested in AI and machine learning
21 Hours
