Artificial Intelligence

Description

Explore the Power of Intelligent Machines

Course Description:
Dive into the world of Artificial Intelligence with hands-on projects, intelligent algorithms, and real-world applications. This course introduces students to AI concepts including machine learning, data processing, and model building using popular libraries like Python, scikit-learn, and TensorFlow. Learn how to build smart applications that can think, learn, and make decisions.

Course Content:

1. Introduction to AI and Machine Learning:

• What is AI and how it works
• Types of AI and ML models

2. Python for AI:

• Using Python for data handling
• NumPy, Pandas, and Matplotlib basics

3. Supervised & Unsupervised Learning:

• Classification, Regression, Clustering
• Hands-on with scikit-learn

4. Neural Networks and Deep Learning:

• Build neural networks using TensorFlow/Keras
• Image and speech recognition basics

5. Final Project:

• Develop a smart AI-driven application

Learning Outcomes:

• Understand core AI and ML principles
• Build and evaluate machine learning models
• Process datasets using Python
• Create smart applications using TensorFlow