Artificial Intelligence
Artificial Intelligence is the future of technology. This course is designed to help students understand how machines think, learn, and make decisions like humans. You will learn both theoretical concepts and practical implementation using real-world projects.
By the end of this course, you will be able to build intelligent systems, work with data, and apply AI in real applications like chatbots, prediction systems, and automation tools.
1. Introduction to AI
- What is Artificial Intelligence?
- History and evolution of AI
- Types of AI (Narrow, General, Super AI)
- Real-world applications
2. Python for AI
- Python basics for beginners
- Libraries: NumPy, Pandas, Matplotlib
- Data handling techniques
- Writing simple AI programs
3. Machine Learning
- What is Machine Learning?
- Types: Supervised, Unsupervised, Reinforcement Learning
- Regression & Classification
- Model training & evaluation
4. Deep Learning Basics
- Introduction to Neural Networks
- Activation functions
- Deep learning frameworks (TensorFlow / PyTorch basics)
5. Data Science Fundamentals
- Data cleaning & preprocessing
- Data visualization
- Feature engineering
6. Natural Language Processing (NLP)
- Text processing techniques
- Chatbot development
- Sentiment analysis
7. Computer Vision (Intro)
- Image processing basics
- Object detection concepts
- Real-time AI vision applications
8. AI Projects
- Chatbot using Python
- Spam email detection system
- Movie recommendation system
- Face detection project
- Sales prediction model
