Practical Artificial Intelligence

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

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

 

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:

  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.


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

 

English
language

 

Content

 
Preview and Contents
Preview
Contents
Introduction
Introduction
Information Technologies
Information Technologies
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence Current Applications
Natural Language Processing – Part 1 (Optional)
Natural Language Processing – Part 2 (Optional)
Natural Language Processing – Part 3 (Optional)
Natural Language Processing – Part 4 (Optional)
AI Software and Programming
List of AI Software
Anaconda Python Installation
Anaconda Python using Spyder
Anaconda Python using Spyder – Variables, Lists, Loop, If Statements
Python Installing and Running Packages
Anaconda Jupyter Notebook, How to use
Anaconda Jupyter Notebook, Cont’d
Google Colab, Free Python Development Environment
R vs Python
UIPath Introduction
Power BI Introduction
Power BI Example – Installing and Getting Data
Power BI Example – Plotting Data, Filters
Power BI Example – Customizing, Publishing Dashboard
AI Examples – Overview – Simple
AI Examples Overview and Frequently Asked Questions
Python Training, Functions, Classes
Excel Automation with Cakemix
Music Automation Part 1
Music Automation Part 2
Music Automation Part 3
Music Automation Final
Face Recognition from Digital Images
Face Recognition from Digital Images Final
Reading Text Files and License Plates from Digital Images
Converting Text to Speech Files
Digital Assistant – Pet Care
Digital Assistant – Pet Care Final
AI Examples – Data Science
Data Science related AI topics
NLP Spam Classifier
NLP Spam Classifier – Part 2
NLP Spam Classifier – Part 3
NLP Spam Classifier – Part 4
NLP Spam Classifier – Part 5
NLP Spam Classifier – Part 6
NLP Spam Classifer – Part 7
Mobile Application and AI
Mobile Communication and App Background
Mobile App Examples – Background
Mobile App Example – Creating Ionic App
Mobile App Example – Creating Pages, Routing, Tab Menu
Mobile App Example – Grids, Rows, Columns, Styling
Mobile App Example – Ion Cards, Course Page
Mobile App Example – External Images, Text Styling, About Page Complete
How to Create and Publish Python Package
Write and Publish Python Packages
Next Steps
Next Steps for AI

 

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