Welcome to AI Education

Learn Artificial Intelligence through carefully structured specializations, from neural network fundamentals to advanced deep learning concepts.

Structured Learning

Interactive Content

Progressive Difficulty

Courses

Specializations

Choose from our comprehensive AI specializations designed to take you from beginner to expert.

Deep Learning Specialization

Master the fundamentals of deep learning and neural networks

5 Courses

Course 1 - Active

Neural Networks and Deep Learning

Learn the foundations of deep learning and neural networks

Level:Beginner

Duration:20 hours

Course 2 - Coming Soon

Improving Deep Neural Networks

Hyperparameter Tuning, Regularization and Optimization

Course 3 - Coming Soon

Structuring Machine Learning Projects

ML Strategy and Best Practices

Course 4 - Coming Soon

Convolutional Neural Networks

Computer Vision and CNNs

Course 5 - Coming Soon

Sequence Models

RNNs, LSTMs, and Attention Mechanisms

🤖

Machine Learning Fundamentals

4 Courses

👁️

Computer Vision

3 Courses

💬

Natural Language Processing

4 Courses

🎮

Reinforcement Learning

3 Courses

⚖️

AI Ethics & Safety

2 Courses

📚 Neural Networks Foundations

Understanding the basic building blocks of neural networks

Week 1

Topic 01

What is a Neural Network? - The Single Neuron

Single neuron = linear regression without activation

7 min

Topic 02

Mathematical Prerequisites - Basic Functions

Function composition and linear functions

8 min

Topic 03

The Perceptron Problem - Why Step Functions Fail

The sudden jump problem with real examples

8 min

Topic 04

Mathematical Prerequisites - Exponential and Logarithmic Functions

e^x function and natural logarithm

10 min

Topic 05

Enter the Sigmoid - Smooth Probability Outputs

Sigmoid function: σ(z) = 1/(1 + e^(-z))

9 min

14 slides available

1234+10

Your Learning Journey

Follow the structured path from neural network basics to advanced AI concepts

Available

Current Topic

Coming Soon

Week 1

Neural Networks Foundations

Next: Week 2 - Gradient Descent

Ready to Learn About Sigmoid Functions?

You can start with the mathematical foundations and work your way up to understanding how neural networks use activation functions like the sigmoid.