Udemy – Mastering Tabnine AI for Efficient Code Development 2024-1

Udemy – Mastering Tabnine AI for Efficient Code Development 2024-1 Downloadly IRSpace

Udemy – Mastering Tabnine AI for Efficient Code Development 2024-1
Udemy – Mastering Tabnine AI for Efficient Code Development 2024-1

Mastering Tabnine AI for Efficient Code Development, Unlock the full potential of Generative AI with our online course, “Mastering Tabnine AI for Efficient Code Development.” Ideal for programmers and developers, this course delves into the world of Gen AI, introducing tools like Tabnine, Copilot, Kite, ChatGPT and more. Participants will explore Tabnine’s features, subscription plans, and its unique offerings such as custom AI models. The course provides hands-on experience, guiding learners through Tabnine’s installation, integration with popular IDEs, and its application in code generation, from function signatures to self-healing processes. Special emphasis is placed on language-specific features and capabilities, ensuring participants gain a nuanced understanding of Tabnine across programming languages. Participants will apply Tabnine in real-world scenarios, developing static web pages, single-page applications, and backend RESTful services. Advanced features like language conversion and code review are also covered, offering a comprehensive view of Tabnine’s capabilities. The course concludes with insights into the future roadmap of Tabnine, including the exciting Tabnine Chat feature.

What you’ll learn

  • Introduction to Gen AI
  • Exploration of Gen AI, Tabnine, and Custom AI Solutions
  • In-Depth Understanding of Tabnine
  • Learn how Tabnine supports Languages and Features
  • Install and configure Tabnine for seamless integration with popular IDEs
  • Explore how Tabnine generates code efficiently
  • Master function signature suggestions and intelligent
  • Utilize Tabnine for self-healing processes
  • Apply Tabnine in real-world scenarios, generating code
  • Create Tabnine AI chat to backend RESTful services
  • Reinforce theoretical knowledge with practical AI skills
  • Position yourself as a proficient user of Tabnine AI
  • Write Automation test cases code-scripts for quick testing
  • Easy to apply Language conversation as a proficient

Who this course is for

  • Programmers and Developers: who wants coding efficiency and productivity
  • Coding Enthusiasts: who want to explore advanced AI-driven tools for code development
  • Software Engineers: who seeking to streamline their code development processes
  • Tech Professionals: professionals in the technology industry interested
  • Students and Learners: who wants to gain practical skills in using advanced AI tools like Tabnine
  • Anyone Interested in AI-Driven Programming: understanding and applying Generative AI for their programming skills
  • Professionals in Web Development and Testing: code development and testing processes using Tabnine
  • Career Transitioners: Those considering a career transition into programming or software development who want to build foundational skills using innovative AI tools

Specificatoin of Mastering Tabnine AI for Efficient Code Development

  • Publisher : Udemy
  • Teacher : Metla Sudha Sekhar
  • Language : English
  • Level : All Levels
  • Number of Course :
  • Duration : 4 hours and 24 minutes

Content of Mastering Tabnine AI for Efficient Code Development

Mastering Tabnine AI for Efficient Code Development

Requirements

  • Participants should have a foundational understanding of programming concepts and syntax in at least one programming language
  • A computer or laptop capable of running the chosen IDEs or code editors for practical(optional)
  • A basic understanding of artificial intelligence (AI) or machine learning concepts could be beneficial(optional)

Pictures

Mastering Tabnine AI for Efficient Code Development

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : Not Available

Quality: 1080p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 466 MB

File size

1.45 GB