###### Real-Time Systems MasterClass

# Artificial Intelligence CrashCourse

- 2+ Hours Journey
- Certificate of Completion
- Language: Arabic

##### In this CrashCourse, you will:

- Learn what Machine Learning is.
- Know the relation between AI and Machine Learning.
- Know different types of Machine Learning algorithms.
- Understand the one learning algorithm hypothesis.
- Understand Neural Networks architecture.
- Know what Convolutional Neural Networks (CNN) is.
- Know what Generative Adversarial Networks (GAN) is.
- Know how object detection can be done using CNN.
- Know how to classify images using CNN.

##### This CrashCourse is for:

- A beginner who wants to enter AI and Machine Learning world.
- Anyone who wants to find some valuable information about AI and Machine Learning
- Anyone interested in AI and Machine Learning.

##### Prerequisites:

- You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.
- You should have good knowledge of Algebra, Linear Algebra, Trignometry, Statistics, and Calculus.
- You should have good programming skills.

- 2+ Hours Journey
- Certificate of Completion
- Language: Arabic

**Curriculum**

Available in
days

days
after you enroll

- Change Blindness (3:06)
- What is Machine Learning? (1:39)
- AI & Machine Learning (2:59)
- Frist Order Logic (7:14)
- Machine Learning Algorithms (3:43)
- Types of Machine Learning Algorithms (9:10)
- Deep & Shallow Machine Learning Algorithms (2:21)
- The one learning algorithm hypothesis (10:34)
- Artificial Neural Network Algorithm (2:56)
- Neural Network Architecture (6:09)
- Least Square Regression (5:32)
- Neural networks and gradient distant algorithm (6:16)
- Bias-Variance tradeoff (2:13)
- Feature Engineering (3:15)
- Complexity (5:01)
- Convolutional Neural Networks (CNN) (3:13)
- Image Classification & Object Detection (16:28)
- Generative Adversarial Networks (GAN) (10:51)
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