This course is geared towards anyone looking to take the CompTIA A+ certification exam. This certification focuses predominately on computer support or helpdesk. This course gives you easy access to the invaluable learning techniques used by many in their preparation of the CompTIA A+ certification exam. This course focuses on two primary areas, visual based questions, and simulation-based questions that are based on common core concepts of the exams. Using these approaches, regardless of your skill levels in the topics and objective areas of the exam, should provide you a glimpse of what a tier 1 helpdesk would be. If you’re already working in the industry or already have experience working as a helpdesk individual for a good length of time, this practice course will cover the more focused details about the exam. If you’re not as experienced, you’ll see not just the focus on exams details, but will also be given the opportunity to explore and grow. If you’ve ever wanted to become certified as a CompTIA A+ technician, this course will help serve as your guide. This course has a wide array of exercises, all with the purpose of ensuring that you have the tools needed to be successful of your exam. The only equipment needed is a computer with internet access. It is assumed that you have completed the Google CompTIA A+ course.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build a REST API so a 3rd party can access data stored on a serverless Firebase database through a website.

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.

This is a self-paced lab that takes place in the Google Cloud console. This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to use Cloud Functions to do lightweight processing of Cloud Logging messages

The Cyber Incident Response course will give students an understanding of how incidents are responded to at a high level, as well as allow them to build important technical skills through the hands-on labs and projects. This course starts with a high-level discussion of what happens at each phase of responding to an incident, followed by a technical deep dive into some of the more exciting parts of memory, network, and host analysis and forensics. This course is for anyone wishing to apply learned forensics and offensive knowledge such as ethical hacking to the incident response process.

This course gives you the background needed to understand basic network security. You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics. You will learn how networking affects security systems within an organization. You will learn the network components that guard an organization from cybersecurity attacks. In addition to networking, you will learn about database vulnerabilities and the tools/knowledge needed to research a database vulnerability for a variety of databases including SQL Injection, Oracle, Mongo and Couch. You will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals. This course is intended for anyone who wants to gain a basic understanding of Network Security/Database Vulnerabilities or as the fourth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.

By the end of this project, you will evaluate data types, apply naming conventions and integrate external resources in your SAS programs.

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. Building brand new applications on AWS is a different task than lifting and shifting existing applications into AWS. When you have an existing application that you need to move to AWS, you might first look to using Amazon EC2 as your virtual machines, or maybe you might look into using docker containers and container hosting services like Amazon Elastic Container Service or Amazon Elastic Kubernetes Service. Those are all great application hosting options, but in most cases, they still require you to have some kind of pulse on the underlying infrastructure hosting your application. ` Building Modern .NET Applications on AWS will explore how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless computing, and Amazon Cognito for serverless authentication. We will follow an API driven development process and first mock up what the API will look like. We will cover all the ins and outs of the service Amazon API Gateway, and as you’ll learn- it does a lot more than just hosting an API. Then we will add authentication to the API using Amazon Cognito. You’ll learn about how the authorization flow works with Cognito, and how to build it into your APIs. From there, we will add a Lambda backend that will be triggered by API Gateway. The lambda functions will be using the AWS SDKs to perform various data processing tasks. You’ll learn about the different configurations that exist for Lambda, and we will show you how to create and manage lambda functions. Some of the features of our API will require multiple lambda functions to execute in a specific order, like a workflow, and we will use AWS Step Functions to create a serverless workflow. Finally, we will talk about how to optimize your APIs at every layer using AWS features. Note: There are four versions of this class, "Building Modern Node.js Applications on AWS" for Node.js developers, "Building Modern Python Applications on AWS" for Python developers, "Building Modern Java Applications on AWS" for Java developers, and this course, "Building Modern .NET Applications on AWS" for .NET developers. The courses do for a large part, overlap and in general, we recommend that you take the course that focuses on the SDK you plan to use to develop your AWS Cloud based applications. We expect that you have basic knowledge of AWS already. Some examples of concepts you should be familiar with are: you should know the basics of the AWS Global infrastructure, like what regions and availability zones are. You also should know the at a high-level AWS Identity and Access Management, or IAM, and how it is used to control access to AWS resources. You should also understand what an Amazon EC2 instance is, what Amazon S3 is, what a VPC is, as well as other basic AWS terminology.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you connect two networks using Cloud Routers. Cloud Routers build on top of VPN by enabling BGP Routing that dynamically discovers changes in network topology and passes updates to peers.