Model Deployment Courses and Certifications

Coursera

Optimize AI: Build Reusable Model Pipelines

Master strategic model selection and build standardized ML pipelines using Scikit-learn for efficient, scalable AI workflows in production environments.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Production ML with Hugging Face

Master production ML deployment using the Sovereign Rust Stack with zero Python dependencies across GPU, CPU, WebAssembly, and edge targets through hands-on projects.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Gen AI Ecosystem Overview - Level 2

Dive into H2O's GenAI platform's advanced capabilities, from data preparation to model deployment, guided by Kaggle Grand Master Sanyam Bhutani through practical techniques and real-world applications.

• Coursera
• 1 hour 11 minutes
• Self-Paced
• Paid Course

Coursera

Optimize Deep Learning Models for Peak AI

Master transfer learning, model fine-tuning, and optimization techniques to deploy efficient deep learning models in production environments with balanced accuracy and performance.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Coursera

Optimizing AI Workflows and Deploying Edge Models

Master optimizing ML workflows with PyTorch, GPU acceleration, data pipelines, and edge deployment using TensorFlow Lite for real-world AI production environments.

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

Packt Career Certificate

DeepSeek in Practice

Master DeepSeek's AI framework through architecture, reasoning, prompting, and deployment. Build intelligent systems, fine-tune models, and develop real-world solutions across automation, legal tech, and enterprise domains.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Packt

AWS Machine Learning Specialty Certification Guide

Master AWS Machine Learning Specialty (MLS-C01) exam prep by exploring SageMaker, data preparation, ML algorithms, and AI/ML services, with mock exams and hands-on AWS experience.

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

Coursera

Databricks Machine Learning Quickstart

Master rapid ML deployment on Databricks by tracking experiments with MLflow, leveraging AutoML for model selection, and deploying production-grade serving endpoints with performance monitoring.

• Coursera
• 2 hours 59 minutes
• Self-Paced
• Paid Course

Board Infinity

Model Serving Systems: Containers, APIs & Scalability

Master ML model deployment using Docker, FastAPI, and ONNX. Build scalable REST APIs, optimize containers, implement zero-downtime strategies, and handle model serialization for production-grade ML systems.

• Coursera
• 19 hours
• Self-Paced
• Paid Course

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

Coursera

Deploy & Evaluate Vision Models Effectively

Master deploying computer vision models from notebooks to production—build inference pipelines, package reproducible APIs, and evaluate performance using precision, recall, and mAP like an MLOps engineer.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Coursera

Optimize and Deploy Edge AI Models

Master edge AI deployment by evaluating ML models with TensorFlow Lite, analyzing data slices for fairness, and optimizing quantization trade-offs for reliable real-world performance.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Coursera

Architect Multimodal AI Solutions End-to-End

Master end-to-end multimodal AI solution design, bridging prototype to production with scalable architectures, cross-modal data integration, and technical documentation for real-world deployment.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Edureka

Getting Started with Automated Machine Learning (AutoML)

Master automated machine learning with H2O AutoML to build, evaluate, and deploy ML models efficiently without manual trial-and-error approaches.

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

EDUCBA

Predictive Analytics with SAS: Build & Deploy Models

Master predictive analytics using SAS Enterprise Miner through hands-on model building, data preparation, neural networks, decision trees, and deployment for business applications.

• Coursera
• 14 hours 31 minutes
• Self-Paced
• Paid Course