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Practical Artificial Intelligence
Create new Artificial Intelligence applications using Python, R, Google Colab, UIPath, Power BI.
This Course Includes
udemy
4.4 (23 reviews )
13 total hours 
english
Online - Self Paced
course
Udemy
About Practical Artificial Intelligence
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.
What You Will Learn?
- Learn about Artificial Intelligence and related technologies with practical examples and information..
- Be familiar with Python, R, UIPath, Power BI and mobile app programming.
- Create new applications using Machine Learning, Deep Learning, and Computer Vision.
- Learn about Data Science and Exploratory Data Science tools.
- Create forecasting analysis using AI tools and predict future orders.
- Develop object detection, face recognition, voice cloning tools using Artificial Inteligence.
- Automatically make standalone web documents and presentations using Python Bokeh.