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Course Outline
Introduction to AI and Code Generation
- The impact of AI on contemporary software development.
- Gaining insight into AI-based code generation.
- An overview of current AI coding assistants.
Getting Started with Tabnine
- Installation processes and initial configuration.
- Exploring Tabnine’s interface and key features.
- Basic code completion and snippet creation.
Intermediate Techniques with Tabnine
- Tailoring Tabnine settings to suit individual workflows.
- Discovering multi-language support and context-sensitive suggestions.
- Integrating Tabnine with various version control systems.
Advanced Tabnine Features
- Utilizing deep learning models for sophisticated code predictions.
- Training bespoke AI models for targeted coding challenges.
- Optimizing Tabnine performance for large-scale projects.
Expert-Level Tabnine Usage
- Developing complex AI models using Tabnine.
- Best practices for conducting AI-assisted code reviews.
- Leveraging Tabnine for collaboration in team and enterprise settings.
Summary and Future Steps
Requirements
- A foundational grasp of programming principles and software development.
- An eagerness to explore the realms of AI and machine learning.
Intended Audience
- Developers at every level who have an interest in AI and machine learning.
21 Hours
