Website Deployment Courses and Certifications

Packt

Data Science Model Deployments and Cloud Computing on GCP

Master GCP deployment of data science models using Cloud Run, App Engine, and Vertex AI with hands-on Docker containerization and serverless computing techniques.

• Coursera
• 10 hours 34 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

EDUCBA Career Certificate

Apache & Tomcat Web Application Deployment Projects

Master web application deployment through hands-on projects using Apache Web Server and Tomcat, building PHP sites, company websites, dynamic apps, and Java applications.

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

Packt Career Certificate

LLMs in Enterprise

Explore the full lifecycle of LLMs in enterprise settings, from foundational concepts to advanced fine-tuning, deployment, and responsible AI practices for building production-grade solutions.

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

EDUCBA

Build and Deploy an eCommerce Shop with jQuery, HTML & CSS

Master building a complete eCommerce shop from setup to deployment using jQuery, HTML & CSS with responsive design, shopping cart functionality, and payment simulation.

• Coursera
• 5 hours 45 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

Using Cloud Trace on Kubernetes Engine

Aprende a desplegar un clúster de Kubernetes Engine y una aplicación web con balanceador de carga, y a visualizar datos de telemetría en Cloud Trace Console.

• Coursera
• 1 hour
• 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

EDUCBA

Build and Deploy a Drupal CMS Website for an Ad Agency

Master Drupal CMS by building a complete ad agency website from scratch with dynamic content, portfolios, pricing, blogs, and deployment skills.

• Coursera
• 8 hours 58 minutes
• 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

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

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

MLOps with Vertex AI: Manage Features - 日本語版

Vertex AI Feature Storeを使用したMLOpsの実践的スキルを習得。本番環境でのML システムの効率的な管理と運用方法を学ぶ。

• Coursera
• 2 hours 5 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