Practical Artificial Intelligence

Practical Artificial Intelligence, Create new Artificial Intelligence applications using Python, R, Google Colab, UIPath, Power BI.

In the 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:

1. Introduction
2. Information Technologies
   • Application Areas: Education, Government, Healthcare, Technology, Commerce, Manufacturing
3. Artificial Intelligence
   • Machine Learning, Robotic Systems, Robotic Vision, Natural Language Processing
4. Best AI Software you need to know
   • Python, R, Google Colab, Anaconda, UIPath, Power BI
5. 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
6. Mobile App Programming
   • Android, iOS Examples
   • RESTful API Programming
7. AI Python Package Programming
8. 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.