Practical Artificial Intelligence

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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:

  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.

What you’ll 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


  • Computer and internet connection.
  • No programming experience needed. We will show everything you need to know

Who this course is for:

  • Anyone who wants to learn Python, R, UIPath, Power BI, and mobile app programming
  • Beginner Python developers who are interested in Artificial Intelligence and Data Science

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