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Duration 21 hours
Course Outline
Foundations of AI in Code Generation
- The impact of AI on contemporary software engineering.
- Insights into how AI facilitates code generation.
- A broad look at AI-powered coding support tools.
Initiating Work with Tabnine
- Setting up the installation and initial configuration.
- Exploring Tabnine’s user interface and feature set.
- Managing basic code completion and snippet usage.
Intermediate Applications of Tabnine
- Adjusting Tabnine preferences to align with individual workflows.
- Investigating multi-language capabilities and context-sensitive suggestions.
- Connecting Tabnine with standard version control platforms.
Advanced Capabilities in Tabnine
- Utilizing deep learning models for advanced code forecasting.
- Training personalized AI models for targeted coding objectives.
- Tuning Tabnine for optimal performance in large-scale projects.
Mastery in Tabnine Utilization
- Constructing complex AI models through Tabnine.
- Adopting best practices for AI-supported code review processes.
- Collaborating with Tabnine across team and enterprise contexts.
Wrap-up and Future Directions
Requirements
- A foundational knowledge of programming principles and software development.
- A strong desire to explore AI and machine learning concepts.
Target Audience
- Developers at any proficiency level who are keen on integrating AI and machine learning into their workflow.
