Website Deployment Courses and Certifications

Next.js for Beginners - Full Course

22 ratings

Build a full-stack recipe app with Next.js, Sanity.io, and Vercel. Learn dynamic routing, pre-rendering, API integration, serverless functions, real-time previews, and web deployment.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Cloud Computing Basics (Cloud 101)

12 ratings

Explore cloud computing fundamentals, including deployment models, hosting scenarios, and major platforms. Gain insights into future trends like serverless computing and IoT.

• Coursera
• 8 hours 13 minutes
• Self-Paced
• Paid Course

Deploy, Scale, and Update Your Website on Google Kubernetes Engine

In this lab you will learn how to deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.

• Google Skills
• Self-Paced
• Paid Course

Kaggle;  Amazon;  Amazon Web Services Career Certificate

AWS Machine Learning Engineer Nanodegree

11 ratings

Master foundational ML skills, from supervised learning to deep learning. Deploy models to production environments and complete a capstone project in your chosen domain.

• Udacity
• 94 hours
• Self-Paced
• Paid Course

Machine Learning Engineer

This career track teaches you everything you need to know about machine learning engineering and MLOps.

• DataCamp
• 1 day 20 hours
• Self-Paced
• Free Trial Available

End-to-End Machine Learning

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

MLOps Fundamentals

Dive into the foundations of Machine Learning Operations (MLOps), learning the concepts of productionizing and monitoring machine learning models!

• DataCamp
• 14 hours
• Self-Paced
• Free Trial Available

Introduction to MLflow

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

MLOps Deployment and Life Cycling

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

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

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
• Self-Paced
• Free Trial Available

Machine Learning in Production in Python

Elevate your machine learning skills to production level with this focused skill track.

• DataCamp
• 19 hours
• Self-Paced
• Free Trial Available

Deploying AI into Production with FastAPI

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

MLOps for Business

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

• DataCamp
• 3 hours
• Self-Paced
• Free Trial Available

Designing Forecasting Pipelines for Production

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Free tutorial: Learn to deploy your projects with Netlify in this hands-on course

In this course, you’ll learn two different ways to deploy your projects to the web with Netlify. We’ll cover how to drag and drop deploy a projec

• Scrimba
• 23 minutes
• Self-Paced
• Free Online Course