Securely Connecting AWS IoT Devices to the Cloud
AWS IoT Core provides secure, bidirectional communication between internet-connected devices, such as sensors, actuators, embedded microcontrollers, or smart appliances and the AWS Cloud. In this course, you will learn how to securely connect a device to the cloud using AWS IoT Core, and ensure that an AWS IoT policy is properly set up to […]
Introduction to AWS Application Migration Service
Differences Between Security Groups and NACLs
This is an introductory course on the differences between security groups and NACLs, or Network Access Control Lists. In this course, we discuss how to secure the networking of your applications in AWS by using these two resources. We also review concepts like stateless and stateful to help you more effectively control traffic flow to and from your application.
AWS CloudTrail Lake Getting Started
In this course, you will learn the benefits and technical concepts of AWS CloudTrail Lake. Using CloudTrail Lake, you can aggregate, immutably store, and query Amazon Web Services (AWS) activities of management and data events recorded by AWS CloudTrail. You can use these events for auditing, security investigations, and operational troubleshooting purposes. CloudTrail Lake simplifies analysis workflows by integrating collection, storage, preparation, and optimization for analysis and querying within the same product. In this course, you will also review the basics of CloudTrail Lake and the business and technical challenges it can solve. Course level: Fundamental Duration: 60 minutes Activities This course includes presentations, demonstrations, and knowledge checks. Course objectives In this course, you will learn to: Learn how CloudTrail Lake works. Recognize the benefits of CloudTrail Lake. Explain the cost structure of CloudTrail Lake. Familiarize yourself with the technical concepts of CloudTrail Lake. List typical use cases for CloudTrail Lake. Specify what it would take to implement CloudTrail Lake in a real-world scenario. Explore how to use CloudTrail Lake on the AWS Management Console and use the AWS Command Line Interface (AWS CLI). Intended audience This course is intended for: AWS customers, Partners, and internal resources that want to understand how CloudTrail Lake can help them operate AWS solutions at scale. Prerequisites We recommend that attendees of this course have: A basic understanding of AWS offerings and the challenges that organizations face when operating Completed the Getting Started with AWS CloudTrail course Course outline Section 1: For Students Lesson 1: How to Use This Course Section 2: Introduction Lesson 2: Introduction to CloudTrail Lake Lesson 3: Architecture and Use Cases Section 3: Using AWS CloudTrail Lesson 4: How Do I Create an Event Data Store for CloudTrail Lake Events? Lesson 5: How Do I Use CloudTrail Lake to Configure Items? Lesson 6: How Do I Create an Event Data Store for Events Outside of AWS? Lesson 7 How Do I Query an Event Data Store? Lesson 8: How Do I Create and Delete an Event Data Store Using AWS CLI? Lesson 9: How Do I Delete Resources? Section 4: Resources Lesson 10: Learn More Lesson 11: Feedback
Fundamentals of Analytics on AWS – Part 2
This course is the second of two offerings designed to introduce learners to the current market trends in analytics. Building upon the concepts introduced in Part 1, this course introduces learners to an overview of data lakes, data warehouses, and modern data architectures on AWS. You will learn about which AWS services can be used to build a data warehouse, data lakes, and modern data architectures on AWS. You will also see common modern data architecture use cases and a reference architecture. Course level: Fundamental Duration: 1 hour 30 minutes Activities This course includes: lessons, videos, scenarios, and knowledge check questions. Course objectives In this course, you will learn to: Explain data lakes, benefits, and functions. Describe the basic data lake architecture, the AWS services used to build a data lake, and challenges with building a data lake. Explain AWS Lake Formation architecture, features and benefits. Explain data warehousing, challenges with an on-premises data warehouse, and available AWS solutions. Explain modern data architecture pillars and modern data architecture concepts. Explain data movement scenarios. Describe the data mesh architecture pattern, benefits, and available AWS solutions. Identify the available AWS services for building modern data architectures. Identify the components of modern data architecture. Describe common use cases for modern data architecture. Intended audience This course is intended for: Cloud architects Data engineers Data analysts Data scientists Developers Prerequisites We recommend that attendees of this course have: Reviewed AWS Cloud Practitioner Essentials or equivalent Completed Fundamentals of Analytics on AWS – Part 1 Course outline Section 1: Introduction Lesson 1: How to Use This Course Lesson 2: Course Overview Section 2: Architectures Lesson 3: Introduction to Data Lakes Lesson 4: Introduction to Data Warehousing Lesson 5: Introduction to Modern Data Architecture Lesson 6: AWS Services for Modern Data Architecture Section 3: Common Use Cases and Reference Architectures Lesson 7: Common Use Cases Lesson 8: Reference Architectures Section 4: Conclusion Lesson 9: Quiz Lesson 10: Course Summary Lesson 11: Appendix of Resources Lesson 12: Feedback
Fundamentals of Analytics on AWS – Part 1
This course is the first of two offerings designed to introduce learners to the current market trends in analytics. In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V’s of big data, and the challenges associated with processing high volumes of data. This course also maps the 5 V’s of big data to AWS services for analytics and discusses how AWS provides the most comprehensive services on the market. Following completion of this course, learners are encouraged to continue their journey with Fundamentals of Analytics on AWS – Part 2 . Course level: Fundamental Duration: 2 hours Activities This course includes: lessons, videos, scenarios, and knowledge check questions. Course objectives In this course, you will learn to: Explain data analytics, data analysis, analytics types, techniques, and analytics challenges. Define machine learning (ML), ML on AWS, and different levels of AWS for ML services. Define the 5 V’s of big data. Explain common ways to store data, challenges, characteristics of source data storage systems, and available AWS solutions. Explain data transportation, options for different environments, and available AWS solutions. Define data processing, options for each type of processing, and available AWS solutions. Identify different types of data structures, types of data storage, and available AWS solutions. Explain where ETL and ELT fits in multiple places of the analytics pipeline, the elements of an ETL and ELT process, and available AWS solutions. Explain the use of business intelligence tools to gain value from analytics, and available AWS solutions. Intended audience This course is intended for: Cloud architects Data engineers Data analysts Data scientists Developers Prerequisites We recommend that attendees of this course have: Reviewed AWS Cloud Practitioner Essentials or equivalent Course outline Section 1: Introduction Lesson 1: How to Use This Course Lesson 2: Course Overview Section 2: Analytics Concepts Lesson 3: Analytics Lesson 4: Machine Learning Lesson 5: 5 Vs of Big Data Lesson 6: Volume Lesson 7: Variety Lesson 8: Velocity Lesson 9: Veracity Lesson 10: Value Section 3: AWS Services for Analytics Lesson 11: AWS Services for Volume Lesson 12: AWS Services for Variety Lesson 13: AWS Services for Velocity Lesson 14: AWS Services for Veracity Lesson 15: AWS Services for Value Section 4: Conclusion Lesson 16: Quiz Lesson 17: Course Summary Lesson 18: Appendix of Resources Lesson 19: Feedback
AWS Mainframe Modernization Replatform with Micro Focus Getting Started
AWS Mainframe Modernization Replatform with Micro Focus transforms legacy mainframe business applications. Businesses can scale their systems and procedures while enhancing their flexibility and agility. The tools also streamline the replatforming process while minimizing disruptions to operations. Course level: Fundamental Duration: 60 minutes Activities This course includes architecture overview and demonstrations. Course objectives In this course, you will learn to do the following: Understand the functionality and key components of AWS Replatform with Micro Focus Understand how AWS Replatform with Micro Focus works. Explain technical architecture and key use cases of AWS Replatform with Micro Focus. Examine the cost structure of AWS Replatform with Micro Focus. Intended audience This course is intended for the following job roles: Mainframe practitioners and specialists Mainframe developers Solution architects Prerequisites We recommend that attendees of this course have the following prerequisites: A minimum of 2 years of mainframe development, administration, and architecture experience Course outline Section 1: Introduction Module 1: Introduction to AWS Mainframe Modernization Replatform with Micro Focus Module 2: Architecture and Use Cases Section 2: Using AWS Mainframe Modernization Replatform with Micro Focus Module 3: How Can I Create Runtime and Deploy an Application? Module 4: How Do I Verify an Application Using a TN3270 Emulator? Module 5: How Do I Delete My Environment? Section 3: Resources Module 6: Learn More Module 7: Contact Us
Amazon CloudWatch Getting Started
In this course, you will learn the benefits and technical concepts of Amazon CloudWatch. Using CloudWatch, developers and operators can improve the performance and availability of their applications. CloudWatch helps you observe and monitor resources and applications in AWS Cloud, hybrid, or on-premises environments. In this course, you will also review the basics of CloudWatch, including the business and technical challenges it can solve. – Course level: Fundamental – Duration: 1 hour Activities This course includes presentations, demonstrations, and knowledge checks. Course objectives In this course, you will learn to: – Understand the basic technical concepts of CloudWatch. – Understand both the business and technical challenges of CloudWatch. – Create alarms, explore metrics, and monitor availability using synthetics. Intended audience This course is intended for: – Amazon Web Services (AWS) customers, partners, and internal resources who wish to better understand how CloudWatch can help them operate AWS solutions at scale Prerequisites We recommend that attendees of this course have: – A basic understanding of AWS offerings and the challenges that organizations face when operating Course outline Lesson 1: Introduction to CloudWatch Lesson 2: Architecture and Use Cases Lesson 3: How Do You Explore and Graph Default CloudWatch Metrics? Lesson 4: How Do You Explore and Graph Apache Logs in CloudWatch Logs? Lesson 5: How Do You Create CloudWatch Alarms? Lesson 6: How Do You Use CloudWatch Synthetics?
AWS Skill Builder Learner Guide
This course covers basic AWS Skill Builder navigation, content types, and helpful tips as you begin your learning journey. You will quickly learn how to use AWS Skill Builder and the other resources to supplement your learning. AWS Training and Certification regularly updates this course to reflect user interface changes and new features or content types. Course level: Fundamental Duration: 15 minutes Activities This course includes presentations. Course objectives In this course, you will learn to: Navigate AWS Skill Builder Intended audience This course is intended for: All AWS Skill Builder users Prerequisites We recommend that attendees of this course have: No prerequisites are needed Course outline Module 1: Learner Dashboard Module 2: Course Catalog – Individual Courses Module 3: Learning Plans Module 4: Subscription Content Module 5: Helpful Tips
Introduction to Generative AI – Art of the Possible
The Introduction to Generative AI – Art of the Possible course provides an introduction to generative AI, use cases, risks and benefits. With the help of a content generation example, we illustrate the art of the possible. By the end of the course, learners should be able to describe the basics of generative AI, its […]
AWS Security – Encryption Fundamentals
Course description In this course, you will learn about AWS offerings designed to facilitate the practice of encryption throughout your data’s AWS cloud lifecycle. You will also have the option to review encryption concepts, and practice selecting AWS offerings to meet common encryption needs. Course level: Fundamental Duration: 1 hour 20 minutes […]
AWS Wickr Getting Started
Course description This course provides an overview of AWS Wickr. You will learn about use cases and accreditations. You will also learn how to create a Wickr network from the AWS Management Console. This course is not intended to cover features in depth. It facilitates basic onboarding to Wickr for initial use. It also provides […]
