Model Deployment Courses and Certifications

Navigating PySpark MLlib Essentials

Master essential machine learning with PySpark MLlib, from data preparation to model deployment. Learn to train classifiers, make predictions, and evaluate performance using distributed computing.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Modeling the Wine Dataset with PyTorch

Master PyTorch by building a wine classification model, from data preprocessing through model evaluation, visualization, and deployment - all using practical hands-on techniques.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Coursera Career Certificate

AI Model Development & Deployment

Unlock the skills to architect, optimize, and deploy production-ready machine learning systems with hands-on experience in PyTorch, TensorFlow, FastAPI, and AWS SageMaker.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Modeling the Iris Dataset with TensorFlow

Master TensorFlow fundamentals through hands-on practice with the Iris dataset, covering data preprocessing, model building, performance evaluation, early stopping implementation, and model deployment techniques.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Revisiting Machine Learning Fundamentals

Discover practical ML fundamentals through an end-to-end project covering data exploration, preprocessing, model building, evaluation, and REST API deployment.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Deploying Models to AWS Endpoints with SageMaker

Master SageMaker deployment with serverless and real-time endpoints. Package models, test at scale, monitor performance, and manage costs for production-ready ML inference solutions.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Automating ML Workflows with SageMaker Pipelines

Master automated ML workflows by building robust SageMaker Pipelines that connect data processing, training, evaluation, and deployment into repeatable, monitored systems.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Enterprise Machine Learning with Amazon SageMaker

Master the complete ML lifecycle using Amazon SageMaker to build, train, deploy, and automate scalable machine learning solutions in AWS cloud environments.

• CodeSignal
• 12 hours
• Self-Paced
• Free Certificate
• 4 courses

Board Infinity

Real-World Applications & Model Deployment in Java

Master ML deployment in Java using Spring Boot, Jenkins, and GitHub Actions while exploring reinforcement learning and responsible AI practices for enterprise applications.

• Coursera
• 10 hours 33 minutes
• Self-Paced
• Paid Course

Edureka

Model Deployment and Monitoring

Master enterprise MLOps: scale ML infrastructure, ensure governance, and monitor production models using SageMaker, SHAP, LIME, and drift detection tools.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

AI in Healthcare Capstone

317 ratings at Coursera

Explore AI applications in healthcare through a patient's journey, analyzing data, building risk-stratification models, and addressing ethical and regulatory issues in medical data mining.

• Coursera
• 10 hours 35 minutes
• Self-Paced
• Paid Course

Career Certificate

TensorFlow: Data and Deployment

1475 ratings at Coursera

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
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Edge Impulse Career Certificate

Edge AI for Microcontrollers

897 ratings at Coursera

Discover how to build and deploy AI models on microcontrollers, covering fundamentals, sensor data processing, and computer vision for resource-constrained devices.

• Coursera
• 8 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Machine Learning Pipelines with Azure ML Studio

832 ratings at Coursera

Build end-to-end machine learning pipeline in Azure ML Studio using Adult Income Census data to predict income levels. Train, evaluate, and deploy a Two-Class Boosted Decision Tree classifier as a web service.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

AI for Python (Live Online)

686 ratings at CourseHorse

Build a strong foundation in AI through this comprehensive Python course.

• CourseHorse
• 35 hours
• Self-Paced
• $1,895.00