Machine Learning Model Deployment Courses and Certifications

Microcredential

Python Data Products for Predictive Analytics

253 ratings at Coursera

Master Python for predictive analytics: Create data strategies, develop statistical models, and deploy machine learning models to make accurate predictions for business and research purposes.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

EDUCBA

Splunk Administration and Advanced Topics

49 ratings at Coursera

Comprehensive training on Splunk administration, advanced data analysis, and security essentials. Master user management, data correlation, machine learning, and incident response for optimal Splunk deployment.

• Coursera
• 8 hours 29 minutes
• On-Demand
• Paid Course

Great Learning

Machine Learning Model Deployment Using Heroku - Heroku Tutorial for Beginners

Great Learning brings you this tutorial on Machine Learning Model Deployment Using Heroku to take you from the starting point through the finishing point of everything you need to know about this domain and getting started on the journey to master it.

• YouTube
• 35 minutes
• On-Demand
• Free Video

HashiCorp

Streamline Your Machine Learning Model Deployment Lifecycle with Terraform

Master infrastructure automation for ML model deployments using Terraform Cloud and ServiceNow to accelerate delivery, ensure governance, and optimize cloud resource provisioning.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Azure Machine Learning Development: 3 Deploying and Managing Models

28 ratings at LinkedIn Learning

Learn how to deploy and manage machine learning models in Azure Machine Learning Studio. Discover how to deploy, scale, and manage your trained models in production scenarios.

• LinkedIn Learning
• On-Demand
• Free Trial Available

Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

In this lab you will install the Anthos Service Mesh, and deploy a resnet model, all on a GKE cluster.

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Get Started with TensorFlow on Google Cloud: Challenge Lab

This challenge lab tests your skills and knowledge from the labs in the Get Started with TensorFlow on Google Cloud Quest. You should be familiar with the content of these labs before attempting this lab.

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Train and manage a machine learning model with Azure Machine Learning

Learn to use Azure Machine Learning for data handling, compute management, environment setup, job execution, model tracking with MLflow, and deploying models to online endpoints for real-time inferencing.

• Microsoft Learn
• 4 hours 34 minutes
• On-Demand
• Free Online Course

Deploy and consume models with Azure Machine Learning

Learn to deploy and consume machine learning models using Azure, covering managed online endpoints for real-time inferencing and batch endpoints for large-scale processing with the Python SDK v2.

• Microsoft Learn
• 1 hour 29 minutes
• On-Demand
• Free Online Course

Abhishek Thakur

Training Sentiment Model Using BERT and Serving It With Flask API

Learn to build and deploy a high-accuracy sentiment analysis model using BERT and Flask API, covering data preparation, model training, and serving the model for real-world applications.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

GOTO Conferences

Production Model Deployment

Explore strategies for deploying production models, including data sharing, service building, and AB testing. Learn about ML pipelines, engineering requirements, and effective handoff between data scientists and software engineers.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Accelerating Machine Learning DevOps with Kubeflow

Explore Kubeflow for seamless machine learning deployment on Kubernetes. Learn to move models from development to production efficiently, enhancing ML DevOps practices.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

Data Science Dojo

Deploying Machine Learning Models with Flask and Docker

Learn to deploy ML models as web services using Flask, manage environments with Pipenv, package with Docker, and deploy to AWS Beanstalk. Gain practical skills for putting models into production.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Data Science Dojo

BentoML - Create an ML Powered Prediction Service in Minutes

Learn to containerize and share machine learning models using BentoML, enabling easy deployment and collaboration with team members through intuitive API endpoints.

• YouTube
• 49 minutes
• On-Demand
• Free Video