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Practical Artificial Intelligence

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MP4 | h264, 1280×720 | Lang: English | Audio: aac, 44100 Hz | 10h 37m | 4.27 GB

What you’ll learn
Learn about Artificial Intelligence and related technologies with practical examples and information.

Requirements
Computer and internet connection.
Description
In Practical Artificial Intelligence course, artificial intelligence technologies and their usage areas will be explained with examples. Purpose of education:

To give fundamental information about Artificial Intelligence and related technologies

To understand how AI is used in Information Technologies

With several sample programs and projects, prepare you to Industry 4.0

Learn Artificial Intelligence using Python, R, Google Colab, UIPath, Power BI.

Introducing a new distance education, combined with knowledge and experience.

Target Participants: Newly graduated university students, high school students, administrators, entrepreneurs, anyone who wants to improve themselves.

Here are the contents of the Practical Artificial Intelligence course:

Introduction

Information Technologies

Application Areas: Education, Government, Healthcare, Technology, Commerce, Manufacturing

Artificial Intelligence

Machine Learning, Robotic Systems, Robotic Vision, Natural Language Processing

Best AI Software you need to know

Python, R, Google Colab, Anaconda, UIPath, Power BI

Practical AI Examples

With CakeMix, opening Excel files and draw graphs automatically

Make new music in the computer

Face and identify recognition from images

Extract texts from digital images, read license plates

Convert text files to sound files

Make digital assistant

Mobile App Programming

Android, iOS Examples

RESTful API Programming

AI Python Package Programming

Next steps

We are looking forward to be working with you to create best AI tools for your needs.

When you complete this course, you will receive a certificate from Udemy and we will provide you all source codes for the courses.

Who this course is for:
Anyone who wants to learn Python, R, UIPath, Power BI, and mobile app programming


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