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Data Science Advanced Live Classes

MLOps & Production ML Systems

Advanced program to deploy, scale and operate machine learning in production with full MLOps tooling and cloud infrastructure.

4.8 430 enrolled 20 weeks · 160+ live learning hours Certificate
Overview
Curriculum
Instructor
FAQ

Program Overview

An advanced program for engineers operationalizing machine learning. Across 20 weeks and 160+ live hours you build reproducible pipelines, CI/CD for models, feature stores, serving, monitoring, drift detection and governance on cloud infrastructure, culminating in a production MLOps capstone.

What you'll learn

  • Build reproducible ML pipelines
  • Implement CI/CD and model registries
  • Serve models at scale
  • Monitor performance and detect drift
  • Govern and operate production ML

Tools you'll use

PythonMLflowDockerKubernetesAirflowAWS SageMakerPrometheusGrafana

Hands-on Projects

  • End-to-end MLOps pipeline
  • Monitored model deployment capstone

Career Outcomes

MLOps EngineerMachine Learning EngineerML Platform Engineer

Complimentary software included

Enroll in this course and get these professional tools free — licenses and access are provided as part of the program, at no extra cost.

AWS SageMaker Credits Cloud ML

Train and serve models.

MLflow MLOps

Experiment and model tracking.

Docker Desktop Containers

Containerize ML services.

Grafana Cloud (Free) Observability

Monitoring dashboards.

Curriculum

MLOps Foundations & Reproducibility
  • Reproducibility
  • Versioning
Data & Feature Pipelines
  • Pipelines
  • Feature stores
Experiment Tracking & Registries
  • MLflow
  • Registries
Model Serving & APIs
  • Serving
  • APIs
CI/CD for Machine Learning
  • CI/CD
  • Testing
Monitoring, Drift & Observability
  • Monitoring
  • Drift
Scaling on Cloud & Kubernetes
  • Kubernetes
  • Scaling
Governance & Production Capstone
  • Governance
  • Capstone

David Kim

Principal Cloud Architect

Certified across AWS/Azure/GCP, 12 years cloud delivery.

Certificate

Verified MLOps certificate with capstone review.

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