Getting Started with AWS Mainframe Modernization Service
The AWS Mainframe Modernization service helps you migrate and modernize your mainframe applications to Amazon Web Services (AWS) managed runtime environments. Through two main migration patterns, automated refactor and replatform, the service provides tools and resources to help you plan and implement mainframe migration and modernization on AWS. In this course, you will be introduced to the key features, benefits, and use cases of AWS Mainframe Modernization. • Course level: Fundamental • Duration: 1 Hour¬¬ Activities This course includes presentations, architectures, and a demonstration with the option to follow along. Course objectives In this course, you will learn to: • Understand how AWS Mainframe Modernization works. • Familiarize yourself with the technical concepts that help in planning and implementing mainframe migration and modernization. • Explain architecture and use cases for mainframe modernization using various AWS services. • Specify key activities during different phases of a mainframe migration and modernization. • Recognize the benefits and explain the cost structure of AWS Mainframe Modernization. Intended audience This course is intended for: • Mainframe practitioners • Mainframe and middleware administrators • Solutions architects Prerequisites A minimum of 2 years of mainframe development, administration, and architecture experience Course outline • Introduction to AWS Mainframe Modernization • Architecture and Use Cases • How Do You Create a Runtime Environment in AWS Mainframe Modernization? • How Do You Configure an Application to Run in the Runtime Environment? • How Do You Run an Application on a TN3270 Terminal Emulator? • How Do You Delete AWS Mainframe Modernization Resource
AWS Free Tier: Introduction to Offerings
With AWS Free Tier, customers can explore and try out Amazon Web Services (AWS) services free of charge up to specified limits for applicable services. By the end of this course, you will be able to differentiate between the AWS Free Tier offerings and know how to locate offers. You will also be able to identify offer details and usage limits. For foundational knowledge about AWS Free Tier, register for the AWS Free Tier: Introduction to Monitoring Services and AWS Free Tier: Introduction to Managing Services courses. For more information about cloud economic principles, register for Introduction to AWS Billing and Cost Management. • Course level: Fundamental • Duration: 10 minutes Activities This course includes demonstrations, videos, and reading text. Course objectives In this course, you will learn to: • Differentiate between the AWS Free Tier offerings by knowing how to identify service details and usage limits. Intended audience This course is intended for Business Cloud Professionals who are cost-conscious and are early in their AWS journey. Prerequisites N/A Course outline • What is AWS Free Tier? • Types of AWS Free Tier offerings • Who qualifies for AWS Free Tier • AWS Free Tier use cases • Get started with AWS Free Tier eligible offers • Determine AWS Free Tier eligibility • Summary • Thank You and Feedback
Amazon QuickSight – Getting Started
Amazon QuickSight is a cloud-scale business intelligence (BI) service that you can use to create and publish interactive dashboards. You can access these from browsers or mobile devices. As a fully managed cloud-based service, QuickSight combines data from many different sources and provides user management tools that you can use to scale from a few users to millions. In this course, you will learn about the benefits and technical concepts of QuickSight. You will learn about the architecture and built-in features. You will have an opportunity to try key features through demonstrations. • Course level: Fundamental • Duration: 60 minutes Activities This course includes demonstrations, videos, and assessments. Course objectives In this course, you will learn to do the following: • Understand how QuickSight works. • Familiarize yourself with the technical concepts of QuickSight. • List typical use cases for QuickSight. • Recognize the benefits of QuickSight. • Explain the cost structure of QuickSight. • Design, create, and customize QuickSight dashboards to visualize data and extract business insights. Intended audience This course is intended for the following: • BI developers • Business analysts • Data analysts • BI managers Prerequisites We recommend that attendees have a basic understanding of BI and visual analytics concepts. Course outline Module 1: Introduction to QuickSight Module 2: Architecture and Use Cases Module 3: How Do I Create a QuickSight Dataset? Module 4: How Do I Create a QuickSight Analysis? Module 5: How Do I Customize QuickSight Using Themes? Module 6: How Do I Publish a QuickSight Dashboard? Module 7: How Do I Use QuickSight Q to Ask Natural Language Questions?
Job Roles in the Cloud
This course provides business decision makers a high-level picture of job roles in the AWS Cloud and how they compare to on-premises IT job roles. Learners explore four cloud job roles and their competencies to understand how to best transition on-premises job roles to cloud job roles. • Course level: Fundamental • Duration: 30 minutes Activities This course includes: videos, reading text, and knowledge check questions. Course objectives In this course, you will learn to: • Describe on-premises job roles and responsibilities. • Differentiate between customer and AWS responsibilities in the cloud. • Define AWS Cloud job roles, responsibilities, and competencies. • Compare on-premises job roles to AWS Cloud job roles. • Identify ways to grow AWS Cloud competencies for on-premises job roles. Intended audience This course is intended for: • Business decision makers Prerequisites We recommend that attendees of this course have: None Course outline Module 1: Navigation • How to Use this Course Module 2: Course Content • AWS Cloud for Businesses • On-Premises Job Roles • Shared Responsibility Model • Job Roles in the Cloud • Map On-premises Job Roles to Job Roles in the Cloud • Grow AWS Competencies • Knowledge Check Module 3: Thank you • Feedback
