Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Introduction to Docker
This course is designed for a beginner software developer who wants to gain a comprehensive understanding of Docker and Containerization. Some software development experience is recommended, but no previous experience in Docker or Containerization is needed. This course will help you improve your workflow and deployment process. In Module 1, you'll learn to identify fundamental concepts of containerization and the benefits of Docker in the software development lifecycle. You'll see how to create a basic Dockerfile and build a Docker image.
-
Course by
-
Self Paced
-
1 hour
-
English
Building Modern Node.js Applications on AWS
In modern cloud native application development, it’s oftentimes the goal to build out serverless architectures that are scalable, are highly available, and are fully managed. This means less operational overhead for you and your business, and more focusing on the applications and business specific projects that differentiate you in your marketplace. In this course, we will be covering how to build a modern, greenfield serverless backend on AWS.
-
Course by
-
Self Paced
-
17 hours
-
English
Orchestrating the Cloud with Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to provision a complete Kubernetes cluster using Google Container Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
-
Course by
-
Self Paced
-
1 hour
-
English
Introduction to Docker: Build Your Own Portfolio Site
In this 1-hour long project-based course on Introduction to Docker: Build your own portfolio website, you will learn how to use Docker on the command line and create your own portfolio website from a Bootstrap template in a Docker container.
-
Course by
-
Self Paced
-
3 hours
-
English
Docker Essentials & Building a Containerized Web Application
This is a 2-hour long project-based course and the most comprehensive one about Docker Containers.
-
Course by
-
Self Paced
-
2 hours
-
English
Building Modern .NET Applications on AWS
In modern cloud native application development, it’s oftentimes the goal to build out serverless architectures that are scalable, are highly available, and are fully managed. This means less operational overhead for you and your business, and more focusing on the applications and business specific projects that differentiate you in your marketplace. In this course, we will be covering how to build a modern, greenfield serverless backend on AWS.
-
Course by
-
Self Paced
-
16 hours
-
English
Create Docker Container with Flask Seaborn Regression Plot App
Often a software application developed on one platform will not run on another because of software environment differences.
-
Course by
-
Self Paced
-
3 hours
-
English
AI Workflow: AI in Production
This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course focuses on models in production at a hypothetical streaming media company. There is an introduction to IBM Watson Machine Learning. You will build your own API in a Docker container and learn how to manage containers with Kubernetes. The course also introduces&nb
-
Course by
-
Self Paced
-
17 hours
-
English
Selenium Test Execution On Docker Containers
“Selenium automates browsers, that’s it. What you do with that power is up to you.” Selenium is the most widely used UI automation tool to test web applications. Docker helps developers build lightweight and portable software containers that simplify application development, testing, and deployment. In this project, we will learn why and how to execute Selenium tests on Docker containers. By the end of this project, you will be able to execute Selenium tests sequentially or parallelly on multiple browsers deployed on Docker containers.
-
Course by
-
Self Paced
-
2 hours
-
English
Hello Node Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.
-
Course by
-
Self Paced
-
1 hour
-
English