AI ML
Understand Artificial Intelligence and Smart Technologies
Learn how machines learn from data and how AI systems power modern technologies.
Course Overview
A comprehensive introduction to AI and machine learning — covering the theory, tools, and real-world applications that are transforming every industry from healthcare to finance.
What You Will Learn
Explain how AI and ML systems work
Train and evaluate basic ML models
Understand deep learning architectures
Apply AI tools to real problems
Learning Modules
Module 1: Foundations of AI
What AI is, its history, and its societal impact.
- Narrow vs general AI
- History of AI
- Ethics & bias
- AI landscape
Module 2: Machine Learning Basics
How machines learn from data.
- Supervised vs unsupervised
- Training & testing
- Feature engineering
- Model selection
Module 3: Deep Learning & Neural Networks
The architecture behind modern AI.
- What neural networks are
- CNNs & RNNs
- Transfer learning
- Fine-tuning
Module 4: AI Applications
Real-world AI in action.
- Computer vision
- NLP & chatbots
- Recommendation systems
- Generative AI
Tools you will use
PythonTensorFlow / PyTorch (intro)Google ColabHugging Face
Skills You Will Gain
Conceptual AI thinking- Model evaluation
- Python for ML
- Critical AI ethics
Career Opportunities
Taking this course can lead to careers in various industries, including healthcare, business, and technology.
