Ship models that stay healthy long after launch. This cohort covers reproducible pipelines with DVC and Feature Stores, multi-model serving via FastAPI, TorchServe and Triton, and GitHub-Actions CI/CD that pushes blue-green releases to KServe. Observability with Prometheus, drift alerts using Evidently, and rollback playbooks prepare you for real-world incidents. Complete the industry capstone and walk into interviews as an ML Engineer, MLOps Engineer or Model Deployment Specialist.

Join our 6-week Introduction to Python and Machine Learning course to gain a solid foundation in programming and key machine learning concepts. Through hands-on projects and practical exercises, you'll develop core skills in Python, data analysis, and introductory machine learning techniques. Ideal for beginners, this course prepares you to take the next steps in AI and data science or advance to more specialized machine learning studies.