Course Platform

Course Topics

Modules

1. Introduction to AI

   Artificial Intelligence (AI) enables machines to mimic human intelligence such as learning, reasoning, and decision-making.

   Example: Virtual assistants and recommendation systems.

   Old approach: Rule-based systems Modern approach: Data-driven learning

   AI is the new electricity.

   AI enhances human capability.

   Note: AI requires large datasets.

2. Machine Learning

   Machine Learning (ML) allows systems to learn from data.

   Types: Supervised, Unsupervised, Reinforcement

   Formula: y = f(x)

   Let x be input data.

   model.fit(data, labels);

   Training Complete

   Ctrl + Enter

3. Deep Learning

   Deep Learning uses neural networks.

   Used in image recognition and speech processing.

   H₂O and x²

   Deep Learning Book

   April 13, 2026

   AI
   Author: Student
   Topic: Deep Learning

Technologies

• Python

  Simple and powerful language.

• TensorFlow

  Used for ML models.

• OpenCV

  Used in computer vision.

Definitions

AI

Simulation of human intelligence.

ML

Learning from data.

AI Course Media

Course Progress Dashboard

Overall Progress

Completion Status:

Skill Level:

Module Tracking

Performance Table

Register