10 Best Mlops Courses and Certifications Online 2023

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There are thousands of online courses and classes that will help you improve your Mlops skills and earn your Mlops certificate.

In this short article, our specialists have actually assembled a curated list of the 10 Best of the Best Mlops courses, tutorials, training programs, classes and certifications that are available online right now.

We have actually included just those courses that meet our top quality standards. We have actually put a lot of effort and time into collecting these all for you. These courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Mlops Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. Docker Masterclass for Machine Learning and Data Science Our Best Pick	33455+	690+
2. Deployment of Machine Learning Models	25380+	4022+
3. Testing and Monitoring Machine Learning Model Deployments	4750+	363+
4. MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo	4518+	894+
5. Katonic MLOps Certification Course	570+	65+
6. Learn & Deploy Data Science Web Apps with Streamlit	233+	21+
7. Machine Learning Deployment For Professionals	153+	11+
8. YOLO: Custom Object Detection in Python	101+	15+
9. Complete MLOps Bootcamp \| From Zero to Hero in Python 2022	40+	6+
10. “MLOps, Machine Learning Operations for beginners”	1+	0+

1. Docker Masterclass for Machine Learning and Data Science by “Jordan Sauchuk, Ligency I Team, Ligency Team” Udemy Course Our Best Pick

Learn how to containerize and deploy your ML projects with Docker

As of right now, more than 33455+ people have enrolled in this course and there are over 690+ reviews.

Course Content

Welcome
Introduction
Working With Docker – Basics
DockerHub
Challenge
Automated Builds
File Challenge
Docker Compose
Docker Swarm
AWS
Security
Maintenance & Monitoring
Final
Course Vault
Bonus Lectures

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2. Deployment of Machine Learning Models by “Soledad Galli, Christopher Samiullah” Udemy Course

Learn how to integrate robust and reliable Machine Learning Pipelines in Production

As of right now, more than 25380+ people have enrolled in this course and there are over 4022+ reviews.

Course Content

Introduction
Overview of Model Deployment
Machine Learning System Architecture
Research Environment – Developing a Machine Learning Model
Packaging The Model for Production
Serving and Deploying the model via REST API
Continuous Integration and Deployment Pipelines
Deploying The ML API With Containers
Differential Testing
Deploying to IaaS (AWS ECS)
A Deep Learning Model with Big Data
Common Issues found during deployment
Appendix: Former Section: Serving the model via REST API
Final Section

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3. Testing and Monitoring Machine Learning Model Deployments by “Christopher Samiullah, Soledad Galli” Udemy Course

“ML testing strategies, shadow deployments, production model monitoring and more”

As of right now, more than 4750+ people have enrolled in this course and there are over 363+ reviews.

Course Content

Introduction
Setting the Scene & ML System Lifecycle
Testing Concepts for ML Systems
Unit Testing a Production ML Model
Docker & Docker Compose
Integration Testing the ML API
Differential Testing
Shadow Mode Deployments
Monitoring – Metrics with Prometheus
Monitoring – Logs with Kibana
Conclusion
Final Section

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4. MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo by J Garg – Real Time Learning Udemy Course

MLOps fundamentals of Continuous Integration & Continuous Delivery (CI/CD) using Azure DevOps & Azure Machine Learning

As of right now, more than 4518+ people have enrolled in this course and there are over 894+ reviews.

Course Content

Introduction
Challenges in existing ML projects
MLOps – A solution
Maturity levels in MLOps
MLOps Tools/Platforms Stack
Demo – Project Requirements
Azure Machine Learning Studio – Crash course
Demo – Data scientist’s experiment
Demo – Orchestrated ML codes in Azure
Demo – CI/CD MLOps Pipeline in Azure
BONUS

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5. Katonic MLOps Certification Course by Katonic MLOps Platform Udemy Course

“Understand the concepts of MLOps, Kubernetes, Docker & learn how to build an E2E use case on Katonic MLOps Platform”

As of right now, more than 570+ people have enrolled in this course and there are over 65+ reviews.

Course Content

Introduction to MLOps
Introduction to Kubernetes & Docker
MLOps Platform Introduction
End-to-End Use Case Demo

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6. Learn & Deploy Data Science Web Apps with Streamlit by “Gusksra R, Data Science Anywhere” Udemy Course

“Learn, Develop and Deploy Streamlit web app for Data Science application using just Python”

As of right now, more than 233+ people have enrolled in this course and there are over 21+ reviews.

Course Content

Introduction
Getting Started with Streamlit
Streamlit APIs
Streamlit Input Widgets
Practice test – 1
Visualizations with Streamlit
Interactive Visualizations in Streamlit
Project – 1: Develop & Deploy Automatic Data Profiling App
Bonus

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7. Machine Learning Deployment For Professionals by Eduonix Learning Solutions Udemy Course

Learn to deploy and scale your machine learning solutions

As of right now, more than 153+ people have enrolled in this course and there are over 11+ reviews.

Course Content

Course Introduction
Introduction to machine learning in production
ML and Data lifecycle
ML Pipeline
Deploying ML Solutions

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8. YOLO: Custom Object Detection in Python by “Gusksra R, Data Science Anywhere” Udemy Course

YOLO: Custom Data Object Detection Model in Python

As of right now, more than 101+ people have enrolled in this course and there are over 15+ reviews.

Course Content

Introduction
Data Preparation
Training YOLO Model
Prediction from YOLO Model
BONUS

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9. Complete MLOps Bootcamp | From Zero to Hero in Python 2022 by Data Bootcamp Udemy Course

“Advanced hands-on bootcamp of MLOps with MLFlow, Scikit-learn, CI/CD, Azure, FastAPI, Gradio, SHAP, Docker, DVC, Flask..”

As of right now, more than 40+ people have enrolled in this course and there are over 6+ reviews.

Course Content

Challenges and evolution of Machine Learning
Fundamentos de MLOps
Etapas del MLOps
Instalación de herramientas y librerías
MLOps Phase 1: Solution Design
MLOps Phase 2: Automating the ML Model Cycle
MLOps phase 2: Registration and versioning of the model
Model interpretability
Putting models into production
MLOps Phase 3: Model serving with Web Applications
Flask for application development
Docker and containers for Machine Learning
Deploy Flask app to Cloud with Azure Container
Despliegue de modelos en Azure

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10. “MLOps, Machine Learning Operations for beginners” by Dat Art Udemy Course

Machine Learning models from experimentation to production

As of right now, more than 1+ people have enrolled in this course and there are over 0+ reviews.

Course Content

Introduction
MLOps Concepts
MLOps actors
MLOps tools

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Here are some frequently asked questions about learning Mlops

How Long Does It Take to Learn Mlops?

The answer to the question “How long does it ttake to learn Mlops” is … it depends. Everyone has different requirements, and everybody is operating in different circumstances, so the answer for one person might be totally different than for another person.

Think about these questions: What are you attempting to Learn Mlops for? Where is your starting point? Are you a novice or do you have experience with Mlops? How much can you practice? 1 hour each day? 40 hours weekly? Check out this course about Mlops.

Is Mlops Easy Or Hard to Learn?

No, learning Mlops isn’t hard for many people. Check this course on how to Learn Mlops in no time!

How to Learn Mlops Fast?

The fastest method to Learn Mlops is to first get this Mlops course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is key.

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If you want to explore and learn Mlops, then Udemy offers you the best platform to learn the Mlops. Check this course on how to Learn Mlops in no time!

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