Machine Learning
Build and ship machine learning models that generalize.
Go beyond tutorials and learn to build models that work in production. Cover supervised and unsupervised learning, evaluation, tuning and deploying models as APIs.
Machine Learning
AI • Advanced
Program overview
What you'll learn
Apply supervised and unsupervised learning
Evaluate and tune models rigorously
Engineer features that improve accuracy
Understand deep learning fundamentals
Package and deploy models as APIs
Ship an ML capstone project
Curriculum
A step-by-step path to mastery
7 timed assessments keep you on track, and a final certification exam proves what you know.
ML Foundations
- Regression and classification
- Model evaluation and bias
- Cross-validation and metrics
Algorithms
- Tree models and ensembles
- Clustering and dimensionality reduction
- XGBoost and gradient boosting
Deep Learning
- Neural networks
- PyTorch and TensorFlow
- Transfer learning
MLOps & Capstone
- Experiment tracking
- Model serving with FastAPI
- ML capstone project
Tech stack
Tools you'll master
Career outcomes
Roles this program prepares you for
ML Engineer
Data Scientist
AI Engineer
MLOps Engineer
Why choose this program
Built to get you hired
Production-focused path
Model deployment
Real datasets
Employer-verifiable certificate
Ready to become a certified ai pro?
Enroll today, learn at your pace, and earn a certificate employers can verify in seconds.
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