Machine Learning Model Deployment Courses and Certifications

Microservices Tutorials for Beginners

Learn to build and deploy microservices using Spring Boot and Java, with a focus on ML model deployment using Seldon Core.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Great Learning

Machine Learning Model Deployment Using Flask - Flask Tutorial

Learn to deploy machine learning models using Flask, covering key concepts, architecture, deployment options, and a step-by-step guide for practical implementation.

• YouTube
• 41 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 Online Course

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 Online Course

Pragmatic AI Labs

MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn

Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Online Course

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

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

Amazon Web Services;  Amazon

Machine Learning: Model Deployment Using Blue/Green Method

Learn to deploy and update machine learning models for real-time inferencing using Amazon SageMaker, exploring blue/green deployment methods and algorithm changes.

• AWS Skill Builder
• 2 hours
• On-Demand
• Paid Course

USENIX

Conveyor - One-Tool-Fits-All Continuous Software Deployment at Meta

Explore Meta's Conveyor, a universal software deployment tool managing 30,000+ pipelines across millions of machines, featuring automated deployments, safe updates, and ML model deployment capabilities.

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

CNCF [Cloud Native Computing Foundation]

Cloud Native Machine Learning Systems at Day Two and Beyond

Explore challenges and solutions for cloud-native machine learning systems, covering reproducibility, monitoring, and DevOps tools for mature ML implementations in production environments.

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

EuroPython Conference

Python Data Science with VS Code and Azure

Discover how Native Notebooks in VS Code enhance data science workflows and learn to deploy machine learning models using Azure Machine Learning service for improved productivity and efficiency.

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

CNCF [Cloud Native Computing Foundation]

Serverless Machine Learning Inference with KFServing

Explore serverless ML inference with KFServing, addressing deployment challenges, auto-scaling, and GPU utilization. Learn about real-world applications and future prospects in machine learning production environments.

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

PyCon US

Pyodide - A Python Distribution for the Browser

Explore Pyodide: Run Python in browsers and Node.js using WebAssembly. Learn about porting packages, JavaScript-Python integration, and building serverless web apps with Python.

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

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 Cloud Skills Boost
• 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 Cloud Skills Boost
• 1-2 hours
• On-Demand
• Paid Course