Tabnine Fundamentals Training in Dhaka, Bangladesh

This course provides a foundational understanding of Tabnine, an AI-powered code assistant designed to help developers write code faster and with fewer errors. Participants will learn how to install, configure, and effectively use Tabnine across various programming languages and IDEs. The training covers individual use cases, team features, and responsible AI coding practices to improve software development workflows.

Introduction and Individual Use

Module 1: Introduction to AI Code Assistants and Tabnine

• What is Tabnine and how it works
• Benefits of AI code completion
• Overview of features and supported languages

Module 2: Installing and Setting Up Tabnine

• Setting up Tabnine in VS Code, IntelliJ, and other IDEs
• Understanding cloud vs local completion modes
• Tabnine dashboard, preferences, and account settings

Module 3: Using Tabnine for Code Suggestions

• Writing functions, loops, and classes with Tabnine assistance
• How Tabnine learns and adapts to your coding patterns
• Common scenarios: autocompleting logic, boilerplate, docstrings
• Using Tabnine with multiple languages (Python, JS, Java, etc.)

Advanced Use, Team Features, and Best Practices

Module 5: Productivity Workflows with Tabnine

• Using Tabnine in test-driven development
• Autocompleting unit tests and configuration files
• Improving code speed and readability
• Switching between projects and adapting suggestions

Module 6: Tabnine for Teams (Optional Feature)

• Introduction to Tabnine Team Hub
• Setting up team preferences and shared models
• Real-time collaboration and code standardization

Module 7: Best Practices and Limitations

• Verifying AI suggestions for correctness
• When to trust vs override completions
• Security and privacy considerations
• Ethical and responsible AI usage in software development

Module 8: Wrap-Up and Final Exercises

• Recap key takeaways and post-training resources