Foundations 0/4
Python for Data Science 4 weeks · Beginner
Linear Algebra & Calculus 4 weeks · Beginner
Probability & Statistics 3 weeks · Beginner
Git & GitHub 1 week · Beginner
Core ML Algorithms 0/4
Supervised Learning: Regression & Classification 4 weeks · Intermediate
Unsupervised Learning: Clustering & Dimensionality Reduction 3 weeks · Intermediate
Model Evaluation & Hyperparameter Tuning 2 weeks · Intermediate
Ensemble Methods & Feature Engineering 2 weeks · Intermediate
Deep Learning & Neural Networks 0/4
Neural Networks & Backpropagation 3 weeks · Intermediate
Convolutional Neural Networks (CNNs) 3 weeks · Intermediate
Recurrent Neural Networks & Transformers 3 weeks · Intermediate
Deep Learning Frameworks: TensorFlow & PyTorch 2 weeks · Intermediate
Specialized Domains & Advanced Topics 0/4
Natural Language Processing (NLP) 4 weeks · Advanced
Computer Vision 4 weeks · Advanced
Reinforcement Learning 3 weeks · Advanced
Time Series Forecasting 2 weeks · Advanced
MLOps & Production ML 0/5
Experiment Tracking & Reproducibility 1 week · Intermediate
Docker & Containerization for ML 2 weeks · Intermediate
CI/CD for Machine Learning 2 weeks · Intermediate
Model Deployment & Serving 3 weeks · Advanced
Monitoring & Observability 2 weeks · Advanced
System Design & Architecture 0/5
ML System Design & Scalability 4 weeks · Advanced
Data Engineering for ML 3 weeks · Advanced
Cloud Platforms: AWS, GCP, Azure 3 weeks · Advanced
Ethics, Fairness & Interpretability 2 weeks · Advanced
Capstone Project & Portfolio 4 weeks · Advanced