Model Deployment Courses and Certifications

MLOps Essentials: Monitoring Model Drift and Bias

18 ratings at LinkedIn Learning

Learn about the growing field of MLOps and the modeling techniques used to monitor model drift and bias.

• LinkedIn Learning
• 1 hour 5 minutes
• On-Demand
• Free Trial Available

Pragmatic AI Labs

MLOps Tools: MLflow and Hugging Face

Enhance your MLOps Journey: Explore MLflow and Hugging Face for Streamlined ML Lifecycle Management.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Build an AI Application with React and AWS SageMaker

12 ratings at LinkedIn Learning

Build machine learning applications using your own data—but let Amazon host the project.

• LinkedIn Learning
• 1 hour 12 minutes
• On-Demand
• Free Trial Available

Executive Guide to Deploying, Monitoring, and Maintaining Models

10 ratings at LinkedIn Learning

Explore the MLOps portion of deploying, monitoring, and maintaining models for ML projects.

• LinkedIn Learning
• 58 minutes
• On-Demand
• Free Trial Available

Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 3 Deploy and Operationalize Machine Learning Solutions

6 ratings at LinkedIn Learning

Prepare for the third domain of the Microsoft Azure Data Scientist Associate (DP-100) exam.

• LinkedIn Learning
• 33 minutes
• On-Demand
• Free Trial Available

Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure

Develop your understanding of how to design and implement a data science solution on Microsoft Azure.

• FutureLearn
• 3 weeks, 6 hours a week
• On-Demand
• Paid Course

Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure

Develop your understanding of how to design and implement a data science solution on Microsoft Azure.

• FutureLearn
• 3 weeks, 6 hours a week
• On-Demand
• Paid Course

Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure

Learn to design and implement data science solutions on Azure, covering the data science process, Azure services, and Azure Machine Learning for model training and deployment.

• FutureLearn
• 3 weeks, 6 hours a week
• On-Demand
• Paid Course

Serverless Machine Learning with Tensorflow on Google Cloud Platform

This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. You build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine.

• Pluralsight
• 5 hours
• On-Demand
• Free Trial Available

Deploying PyTorch Models in Production: PyTorch Playbook

This course covers the important aspects of performing distributed training of PyTorch models, using the multiprocessing, data-parallel, and distributed data-parallel approaches. It also discusses which you can host PyTorch models for prediction.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Implementing Machine Learning Workflow with RapidMiner

In this course, you will learn how you can develop your machine learning workflow using RapidMiner Studio, a data science platform for data preparation, machine learning, and predictive model deployment.

• Pluralsight
• 2 hours 24 minutes
• On-Demand
• Free Trial Available

Machine Learning with Splunk

You will learn how to configure and administer the Splunk Machine Learning Toolkit and understand how to use Splunk to manage an end to end machine learning scenario.

• Pluralsight
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

Cloudera

Cloudera How To Videos

Comprehensive video series covering Cloudera's data platform, including security, governance, analytics, deployment, and management topics for enterprise-level data solutions.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Caffe2: Getting Started

Caffe2 is a deep learning framework that was open-sourced by Facebook in April 2017. Caffe2 has been explicitly built for large-scale production deployment and for use in a constrained resource environment such as mobile devices.

• Pluralsight
• 2 hours 2 minutes
• On-Demand
• Free Trial Available