This is a self-paced lab that takes place in the Google Cloud console. In this lab you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade. The OmegaTrade application stores stock prices in Cloud Spanner and renders visualizations using Google Charts.

This is a self-paced lab that takes place in the Google Cloud console. This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.

Malicious software, or malware, is typically delivered over a network and is designed to cause disruption to a computer, client, server, or network. Disruptions can include leaked private information, unauthorized access to information or systems, blocked user access, interference with security and privacy, or numerous other variations of attacking systems. Malware analysis dissects malware to gather information about the malware functionality, how the system was compromised so that you can defend against future attacks. Assembly is a low-level language that is used to communicate with the machine. Assembly programming is writing human-readable machine codes or machine instructions that are directly read by the computer. All high-level languages compiled programs like C or C++ can be broken down, analyzed, and understood using Assembly language with the help of a debugger. This process is known as reverse engineering. Understanding what an executable program does is easy if you have direct access to the source code. But if not, such as the case with malware, learning Assembly can be helpful. In this course, through video demonstrations, hands-on reverse engineering, and capture-the-flag type activities, you will be introduced to the processes and methods for conducting malware analysis of different file types. You will analyze native executable files, and analyze popular files like PowerShell, JavaScripts, and Microsoft Office documents. Then you will learn the fundamentals of Assembly language, basic Win32 Assembly programming concepts, and how Reverse Engineers use Assembly to analyze malware.

This course in an introduction to Microsoft Azure services. Students will gain familiarity with core Azure topics and practice implementation of infrastructure components.

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high-quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

There are many choices when it comes to writing scripts on Linux. The bash shell script has been a popular choice, since the bash shell itself is a programming language and the commands used in the script match the syntax of the shell. Python is becoming increasingly popular for scripting on Linux because of its simple syntax, easy access to Linux system commands, and powerful libraries with which to create reports, for example. In addition, Python can be used in other applications and on multiple platforms, so there is also the benefit of learning one language for many programming requirements. In this course, you will create a Python script in which you will determine disk space and generate a report on disk usage on an Ubuntu Linux system. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This is two-hour project-based course teaches how to create a smart chatbot for your business using IBM Watson Assistant, and deploy it to live preview link. You will learn how to harness the power of AI to answer customer questions on multiple platforms. In this project, each step is demonstrated and you can follow along by repeating each step of the process. Take additional time after each step to make your conversation as robust as you desire. In this project you will learn: How to create an IBM Cloud account and Watson’s Assistant. How to configure a Watson's Assistant to capture customer goals from their input. How to build meaningful dialogs in Watson's Assistant. How to configure IBMs Watson Assistant to extract objects from customers input. How to deploy a live version of your Watson Assistant to interact with online customers.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn the basic functionalities of Cloud Healthcare API using the Fast Healthcare Interoperability (FHIR) data model.

Please note: You will need an AWS account to complete this course. All the resources used in the course come under free-tier provided by AWS for new users. But you might be charged if you have already used up your free-tier credits. In this 2-hour long project-based course, you will learn how to create an AWS EC2 AutoScaling Group which can scale in and out based on the incoming traffic. We will go through the complete process of deploying your web application in the AutoScaling Group. We will be creating an Application Load Balancer which will distribute the incoming traffic among the EC2 Instance of our AutoScaling Groups. We will be creating an Amazon Machine Image which will be used to create a Launch Configuration which will act as the base for the EC2 Instances in our AutoScaling Group. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.