AI/ML

1: Introduction to AI & ML
Understand what Artificial Intelligence and Machine Learning are, and how they are used in everyday life.

2: Real-World Applications
Explore how AI powers chatbots, self-driving cars, recommendation systems, and smart devices.

3: Data Basics
Learn what data is, how it is collected, cleaned, and prepared for AI and ML.

4: Supervised & Unsupervised Learning
Understand two main types of machine learning using simple examples like email filtering or customer grouping.

5: Algorithms Made Simple
Get introduced to basic ML algorithms like decision trees, linear regression, and k-means clustering.

6: Model Training & Testing
Learn how models are built, trained, tested, and improved using data.

7: Tools & Platforms
Explore beginner-friendly tools like Teachable Machine, Google Colab, and basic Python for ML.

8: Mini Project & Future Path
Build a basic project (like a recommendation or prediction system) and discover career and learning paths in AI/ML.