Introduction to AI

Build the foundation for creating intelligent systems with hands-on lab projects and real-world applications

View Course Structure

Why Learn AI?

In this 4-week course you'll develop practical skills in machine learning, computer vision and natural language processing through hands-on projects using Python and popular libraries.

Live Projects

Build chatbots, image classifiers and recommendation systems

Hands-on Approach

Apply concepts to real data sets throughout the course

Expert Support

Get guidance from industry veterans with 15+ years experience

AI concepts

What You'll Learn

1

Python Foundations

Build essential Python programming skills with practical examples

Week 1
2

Intro to ML

Understand machine learning concepts with scikit-learn

Week 2
3

Neural Networks

Create and train models using TensorFlow and PyTorch

Week 3
4

Project Time

Apply your new skills to create real-world applications

Week 4

Core Tools and technologies

Python

Python

Keras

Keras

TensorFlow

TensorFlow

PyTorch

PyTorch

Jupyter

Jupyter

Pandas

Pandas

Scikit-learn

sklearn

NumPy

NumPy

Matplotlib

Matplotlib

AI case study

Real-World Application

In this project, you'll build a system that can classify products into categories based on user reviews - exactly how e-commerce platforms organize their massive product libraries today.

Project Scope

Use ML to solve real problem of categorization at scale

Skills Applied

Text classification and neural network tuning techniques

Ready to Build Your First AI System?

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