Explore the newest learning paths, courses, and hands-on labs on Cloud Academy in November.
Learning Paths
Introduction to DC/OS
In an enterprise environment, running multiple workload types simultaneously can be both difficult and costly, especially when servers aren’t being used to their full potential. DC/OS tames the complexity of managing containers and helps you run CI/CD tools, big data, machine learning, and AI services. This learning path is for teams who need to deploy and run containers in production. We’ll start with the fundamentals of how DC/OS works, and you’ll get hands-on practice deploying services. Next, we’ll use the container orchestrator Marathon and explore all of the ways that it can help you manage containers in production.
Data Engineer – Professional Certification Preparation for Google
Extracting value from large, diverse data sets is an ongoing challenge in the enterprise. In this learning path, we’ll help your teams get familiar with the heart of Google’s big data services—BigQuery—and we’ll show you how to use Cloud Machine Learning, Cloud Dataflow, and Cloud Dataproc to process your data. Each course includes hands-on demos and a series of quizzes help test your progress along the way. Teams can use this course to get a solid understanding of the data processing components of the platform or to prepare for Google Certified Professional Data Engineer certification.
Serverless Python Web Development For AWS
In an enterprise environment, it’s not unusual to be managing thousands of servers, both public and private, to run your web applications—and you’re paying for every second those servers are running. With serverless, you only pay for what you use, and your teams are freed from the burden of server management. If you’re considering serverless, this course is an excellent way to understand its value and get hands-on practice at the same time. In this learning path we will use Python 3.6 and AWS services—Lambda, API Gateway, Cognito, S3, and DynamoDB—to create a fully serverless web application.
Courses
Using AWS Storage for On-Premises Backup & Disaster Recovery
Whether you have an on-premises backup solution for your data center or you’re using cloud storage to backup your data, disaster recovery is an essential part of your business continuity plan. AWS offers many opportunities that aren’t possible with a standard on-premises solution. In this course, we’ll show you how to leverage AWS solutions—Amazon S3, Amazon Glacier, AWS Snowball, and AWS Storage Gateway—and choose the best one for your business.
Azure Active Directory Security
A robust identity and access management set up is essential for protecting against this common infrastructure vulnerability: end-user accounts and devices. Azure Active Directory manages users, groups, and applications and their access to other applications and resources running in the cloud. This course is your introduction to Azure AD security. You’ll learn how to secure access to Azure AD, how to integrate it with on-premises and hybrid identity solutions, identity management, and much more.
Hands-on Labs
Monitor Amazon Cloudwatch Security Logs for Failed SSH Attempts
In the public cloud, account or service hijackings that leave customer and transaction data vulnerable are one of the most feared forms of attack. In this lab, you’ll get hands-on practice using AWS CloudWatch and Amazon Simple Notification Service (SNS) to monitoring and notification of failed SSH attempts.
Deploy a Highly Available Serverless Application Using AWS Services
Time restrictions, cost limitations, high availability, and security concerns are just some of the challenges you’ll face when deploying web applications. In this hands-on lab, we’ll use a real-world scenario to deploy a highly available website using AWS. You will configure a variety of AWS services—including Cognito, S3, Glacier, and CloudFront—from authentication, all the way through long-term storage.
React to CodeCommit Events with AWS Lambda
With AWS CodeCommit, you can host private Git repositories within the AWS ecosystem in a secure and highly scalable way. By configuring CodeCommit to trigger actions whenever you push new code or create new branches or tags, you can send notifications, implement custom logic, or integrate third-party services. In this lab, you will get hands-on practice implementing a Lambda Function to process CodeCommit events.
