Model Deployment Courses and Certifications

Train models in Azure Machine Learning with the CLI (v2)

Train models in Azure Machine Learning with the CLI (v2)

• Microsoft Learn
• 2 hours 56 minutes
• On-Demand
• Free Online Course

Build and operate machine learning solutions with Azure Machine Learning

Build and operate machine learning solutions with Azure Machine Learning

• Microsoft Learn
• 10-11 hours
• On-Demand
• Free Online Course

Amazon SageMaker Technical Deep Dive Series

Comprehensive deep dive into Amazon SageMaker, covering notebook instances, algorithms, custom models, training, deployment, tuning, and advanced features for efficient machine learning workflows.

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

Data Professor

R Data Science Project

Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.

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

Augmented Startups

YOLO V3 - Robust Deep Learning Object Detection Tutorials

Learn to implement YOLO v3 for robust object detection, from web scraping and dataset annotation to model training and deployment, using OpenCV and Python.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Data Science Dojo

MLOps Crash Course for Beginners

Learn to create and deploy reproducible MLOps pipelines, covering key concepts like continuous training, drift detection, and model deployment for real-world data science value beyond Jupyter notebooks.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Krish Naik

End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment

Comprehensive guide to implementing a machine learning project, covering data analysis, model training, web application development, and deployment using Docker and GitHub Actions.

• YouTube
• 2 hours 45 minutes
• On-Demand
• Free Video

Amazon SageMaker

Learn to build, train, and deploy ML models using AWS SageMaker, covering notebook instances, S3 buckets, XGBoost algorithm, and endpoint predictions.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker

Learn to build, train, and deploy machine learning models using Amazon SageMaker's fully-managed platform, exploring its key components for notebooks, training, and hosting.

• AWS Skill Builder
• 2-3 hours
• On-Demand
• Free Certificate

Amazon Web Services;  Amazon

Machine Learning Exam Basics

Explore AWS machine learning services, from building and deploying models to deep learning. Learn from Amazon's scientists about ML business challenges and data processing in the ML pipeline.

• AWS Skill Builder
• 2 hours
• On-Demand
• Free Certificate

Great Learning

Flask Python

Learn to deploy machine learning models using Flask, a Python web framework. Explore Flask's capabilities, advantages, and applications in this comprehensive tutorial.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

DP-100 Part 3 - Deployment and Working with SDK

In this course, we focus on how to manage and run experiments in Azure Machine Learning using Azure Machine Learning SDK.

• A Cloud Guru
• 9 hours
• On-Demand
• Free Trial Available

HuggingFace

Few-Shot Learning in Production

Learn to train and deploy efficient few-shot language models using SetFit, knowledge distillation, and quantization techniques. Explore accelerated inference and deployment strategies with Hugging Face and Intel AI.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Databricks

Delivery of Deep Transformer NLP Models Using MLflow and AWS SageMaker for Enterprise AI

Learn to deploy deep transformer NLP models using MLflow and AWS SageMaker for enterprise AI, covering the full machine learning lifecycle and CI/CD pipelines for production-quality implementation.

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

Databricks

Productionizing Machine Learning with Apache Spark, MLflow and ONNX - Cloud Deployment Using SQL Server

Explore productionizing machine learning using Apache Spark, MLflow, and ONNX with SQL Server. Learn model management, lifecycle orchestration, and leveraging SQL Server for ML model storage and deployment.

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