Model Deployment Courses and Certifications

Advanced Model-Driven Apps with Power Apps: Configuration, Customization, and Deployment Techniques

Advanced configuration, customization, analytics, and deployment techniques for Microsoft Power Apps model-driven apps.

• Microsoft Learn
• 3 hours 55 minutes
• Self-Paced
• Free Online Course

PyTorch for Deep Learning Bootcamp

6343 ratings at Udemy

Learn PyTorch. Become a Deep Learning Engineer. Get Hired.

• Udemy
• 2 days 4 hours 13 minutes
• Self-Paced
• Paid Course

Career Certificate

IBM AI Enterprise Workflow

387 ratings at Coursera

Build end-to-end enterprise AI solutions: ingest data, test hypotheses, engineer features, detect bias, and deploy machine learning models on IBM Cloud with Watson tooling.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

AWS Machine Learning with SageMaker: Hands-On

4275 ratings at Udemy

Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests. Deploy DeepSeek LLM & Hugging Face

• Udemy
• 19 hours 52 minutes
• Self-Paced
• Paid Course

Foundations of AI and Machine Learning

288 ratings at Coursera

Explore AI/ML infrastructure: build data pipelines, evaluate model frameworks and pretrained LLMs, and prepare models for production deployment with version control and scalable platforms.

• Coursera
• 5 weeks, 7 hours a week
• Self-Paced
• Paid Course

AWS SageMaker Practical for Beginners | Build 6 Projects

2769 ratings at Udemy

Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML

• Udemy
• 16 hours 14 minutes
• Self-Paced
• Paid Course

Vertex AI | Gemini | Generative AI - GCP Machine learning

2566 ratings at Udemy

Learn How to Apply Google Cloud Vertex AI Machine Learning Products for your own ML Application Training & Prediction

• Udemy
• 13 hours 38 minutes
• Self-Paced
• Paid Course

Career Certificate

PyTorch for Deep Learning

127 ratings at Coursera

Build, train, and deploy deep learning models in PyTorch: tensors, neural networks, TorchVision and Hugging Face models, ResNet, Transformers, plus ONNX, MLflow, pruning, and quantization.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

SAS Machine Learning Engineer

105 ratings at Coursera

Learn machine learning from statistical foundations through model deployment, automation, monitoring, and ModelOps, then rehearse the material with certification practice exams.

• Coursera
• 12 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Learn Machine learning & AI [Beginner to advanced content]

1265 ratings at Udemy

Get well versed with Machine learning and AI by working on Hands-on Projects.

• Udemy
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Build and Operate Machine Learning Solutions with Azure

71 ratings at Coursera

Use the Azure Machine Learning Python SDK to train models, orchestrate pipelines, deploy real-time and batch inference services, tune hyperparameters, apply Fairlearn, and monitor data drift.

• Coursera
• 6 weeks, 5 hours a week
• Self-Paced
• Paid Course

Packt

Decoding Large Language Models

1 rating

Learn how LLMs work and how to ship them: transformer architecture, training and hyperparameter tuning, LoRA and PEFT fine-tuning, evaluation, quantization, pruning, and production deployment.

• Coursera
• 15 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Essential Guide to LLMOps

1 rating

Learn to run large language models in production: build LLMOps pipelines for data processing, model development, inference and serving, monitoring, governance, and compliance.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Advanced PyTorch Techniques and Applications

34 ratings at Coursera

Build recommender systems, autoencoders, GANs, graph neural networks and Vision Transformers in PyTorch, then streamline training with PyTorch Lightning and deploy models via Flask and Google Cloud.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Build and deploy a stroke prediction model using R

33 ratings at Coursera

Build and deploy a stroke prediction model in R: clean a real patient dataset, engineer features, handle missing data, then train and compare classification models.

• Coursera
• 2 hours 22 minutes
• Self-Paced
• Free Online Course