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Udemy – [AI] Build a Object Recognition App with Python & Angular 2024-10

Udemy – [AI] Build a Object Recognition App with Python & Angular 2024-10

Published on: 2024-12-07 17:10:40

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Description

[AI] Build an Object Recognition App with Python & Angular. This comprehensive course gives you the skills you need to build advanced AI-powered applications. Combining the power of FastApp, TensorFlow, and Angular, you’ll learn to build a full-stack object recognition web application that demonstrates the potential of machine learning in modern web development.

What you will learn

  • AI and Machine Learning Basics: Understand the fundamental concepts of AI and machine learning, including supervised learning and deep learning.
  • Basic Programming with Python and TypeScript: Strengthen your Python and TypeScript programming skills for backend and frontend development.
  • Working with FastApp and Angular frameworks: Mastering FastApp and Angular frameworks to build efficient REST APIs and dynamic user interfaces.
  • Build a modern, real-world object recognition application: Implement a complete object recognition web application, including data collection, training machine learning models, and displaying the results in an attractive user interface.

This course is suitable for people who:

  • Beginner Python, Frontend, and AI Programmers: People looking to enter the world of AI and web development.
  • Students interested in how artificial intelligence works: Students who want to gain a deep understanding of machine learning and computer vision techniques.

Course Details [AI] Build an Object Recognition App with Python & Angular

Course syllabus on 2024/11

 [AI] Build a Object Recognition App with Python & Angular

Course prerequisites

  • No programming experience required. Only computer and access to internet

Course images

[AI] Build a Object Recognition App with Python & Angular

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: None

Quality: 1080p

Download link

Download Part 1 – 1 GB

Download Part 2 – 591 MB

File(s) password: www.downloadly.ir

File size

1.5 GB

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