MLOps Courses and Certifications

MLOps for Scaling TinyML

8 ratings at edX

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Building a Reproducible Model Workflow

Learn to build efficient, reproducible machine learning pipelines using MLflow, pytest, and Weights & Biases. Master data validation, experiment tracking, and model deployment for real-world ML projects.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Microcredential

MLOps | Machine Learning Operations

Comprehensive MLOps training covering Python, Rust, GitHub Copilot, cloud platforms, and LLMs. Gain skills for data science, ML engineering, cloud architecture, and AI product management.

• Coursera
• 26 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Python Essentials for MLOps

196 ratings at Coursera

Master Python essentials for MLOps: data handling, functions, testing, Pandas, NumPy, and APIs. Gain practical skills for automating ML workflows and building robust data pipelines.

• Coursera
• 1 day 19 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Cloud Machine Learning Engineering and MLOps

77 ratings at Coursera

Develop machine learning applications using cloud computing, AutoML, and MLOps. Explore emerging topics like edge ML and AI APIs. Build a Flask web app for ML predictions.

• Coursera
• 13 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

MLOps Platforms: Amazon SageMaker and Azure ML

38 ratings at Coursera

Learn to build, train, and deploy ML solutions using Amazon SageMaker and Azure ML. Gain hands-on experience with data engineering, modeling, and MLOps on leading cloud platforms.

• Coursera
• 1 day 6 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

MLOps Tools: MLflow and Hugging Face

35 ratings at Coursera

Explore MLflow and Hugging Face for MLOps, covering model tracking, deployment, fine-tuning, and cloud integration. Gain practical skills in managing ML workflows and creating interactive demos.

• Coursera
• 1 day 1 hour 43 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Machine Learning Engineering for Production (MLOps)

Develop production-ready ML systems: conceptualize, build, and maintain integrated solutions that handle evolving data, operate continuously, and balance cost with performance for real-world AI applications.

• Coursera
• 17 weeks, 6 hours a week
• On-Demand
• Paid Course
• 4 courses

MLOps Deployment and Life Cycling

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Face Recognition with Machine Learning + Deploy Flask App

458 ratings at Udemy

Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy

• Udemy
• 10 hours 48 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started

450 ratings at Coursera

Learn MLOps tools and best practices for deploying, evaluating, monitoring, and operating production ML systems on Google Cloud, enabling continuous improvement and efficient model deployment.

• Coursera
• 2 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Fully Automated MLOps

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

MLOps for Business

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

• DataCamp
• 3 hours
• On-Demand
• Free Trial Available

MLOps Concepts

26 ratings at DataCamp

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

MLOps - Machine Learning Operations

1 review

Learn MLOps essentials: deployment, monitoring, feature stores, and CI/CD pipelines. Hands-on with Azure, Kubernetes, TFX, and cloud platforms for efficient machine learning operations.

• YouTube
• 17 hours
• On-Demand
• Free Video