Machine Learning Model Deployment Courses and Certifications

Developing Machine Learning Models for Production

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Prodramp

Gradio AI Web Application - Hands-On Python Example With JoJoGAN Face Stylization Model

Learn to deploy a JoJoGAN face stylization model using Gradio in Google Colab. Hands-on tutorial covers model setup, inference code, GPU-to-CPU conversion, and creating a public web application interface.

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

Nicholas Renotte

Deploying Machine Learning Models Online with Watson Machine Learning - Python Scikit-Learn

Learn to deploy Scikit-Learn models to the cloud using Watson Machine Learning, enabling online access and integration with various programming languages in under 30 minutes.

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

Deployment of Machine Learning Models

5612 ratings at Udemy

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

• Udemy
• 10 hours 27 minutes
• On-Demand
• Paid Course

Microcredential

TensorFlow: Data and Deployment

Explore advanced TensorFlow deployment scenarios across browsers, mobile devices, and various platforms. Learn data pipeline management, model retraining, and privacy-preserving techniques for real-world AI applications.

• Coursera
• 17 weeks, 3 hours a week
• On-Demand
• Paid Course
• 4 courses

Microcredential

Python Data Products for Predictive Analytics

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
• 22 weeks, 2 hours a week
• On-Demand
• Paid Course
• 4 courses

Device-based Models with TensorFlow Lite

652 ratings at Coursera

Learn to deploy machine learning models on mobile and embedded devices using TensorFlow Lite. Optimize for low-power environments and run models on Android, iOS, Raspberry Pi, and microcontrollers.

• Coursera
• 10 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Data Pipelines with TensorFlow Data Services

529 ratings at Coursera

Streamline ETL tasks, optimize data pipelines, and publish datasets using TensorFlow Data Services. Learn to load, process, and share standardized data efficiently for machine learning models.

• Coursera
• 11 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Deployment Scenarios with TensorFlow

508 ratings at Coursera

Explore advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, TensorBoard, and federated learning to effectively bring machine learning models into real-world applications.

• Coursera
• 12 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

2025 Deploy ML Model in Production with FastAPI and Docker

435 ratings at Udemy

Deploy ML Model with ViT, BERT and TinyBERT HuggingFace Transformers with Streamlit, FastAPI and Docker at AWS

• Udemy
• 18 hours 13 minutes
• On-Demand
• Paid Course

A to Z (NLP) Machine Learning Model building and Deployment.

161 ratings at Udemy

Python, Docker, Flask, GitLab, Jenkins tools and technology used for deploy model in your Local server. A complete Guide

• Udemy
• 4 hours 56 minutes
• On-Demand
• Paid Course

MLOps Deployment and Life Cycling

11 ratings at DataCamp

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

EDUCBA

Splunk Administration and Advanced Topics

12 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
• 7 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Testing and Monitoring Machine Learning Model Deployments

372 ratings at Udemy

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

• Udemy
• 8 hours
• Finished
• Paid Course

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