AI/ML Course
About the Program
This course offers a structured 12-week journey into Artificial Intelligence and Machine Learning. You'll gain strong foundations in Python, data preprocessing, model training, deployment, and real-world AI/ML applications.
Week 1: Python for AI
- Python basics & libraries
- NumPy, Pandas introduction
Week 2: Math for ML
- Linear algebra, probability
- Basic statistics
Week 3: Data Preprocessing
- Cleaning, normalization
- Exploratory data analysis
Week 4: Supervised Learning
- Regression & classification
- Model evaluation
Week 5: Unsupervised Learning
- Clustering & dimensionality reduction
- K-Means, PCA
Week 6: Model Validation
- Cross-validation
- Hyperparameter tuning
Week 7: Deep Learning Basics
- Neural networks intro
- Activation functions
Week 8: CNNs & Computer Vision
- Convolutional layers
- Image classification
Week 9: NLP & Text Processing
- Tokenization, TF-IDF
- Text classification
Week 10: Model Deployment
- Flask API for ML models
- Using Docker for serving
Week 11: AI Ethics & Explainability
- Bias & fairness in models
- Model interpretation
Week 12: Capstone & Interview Prep
- Final project demo
- Mock interviews & resume prep