AI Engineering: Build & Deploy ML Models

Go beyond theory — build real machine learning models and deploy them into production using Python, scikit-learn, and cloud ML platforms.

What You’ll Learn

• Supervised and unsupervised learning algorithms
• Feature engineering, model selection, and hyperparameter tuning
• Model evaluation: accuracy, precision, recall, F1, ROC-AUC
• Deploying models as REST APIs with FastAPI and Flask
• Model packaging with Docker and serving on AWS SageMaker
• Monitoring model drift and retraining pipelines