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Security Engineering on AWS
Security is a concern for both customers in the cloud, …
What you'll learn
State an understanding of AWS cloud security based on the CIA triad.
Create and analyze authentication and authorizations with IAM.
Manage and provision accounts on AWS with appropriate AWS services.
Identify how to manage secrets using AWS services.
Monitor sensitive information and protect data via encryption and access controls.
Identify AWS services that address attacks from external sources.
Monitor, generate, and collect logs.
Identify indicators of security incidents.
Identify how to investigate threats and mitigate using AWS services.
Developing Generative AI Applications on AWS
This course is designed to introduce generative AI to software …
What you'll learn
Define the importance of generative AI and explain its potential risks and benefits
Identify business value from generative AI use cases
Discuss the technical foundations and key terminology for generative AI
Identify which prompt-techniques are best-suited for specific models
Identify potential prompt misuses
Describe architecture patterns that can be implemented with Amazon Bedrock for building generative AI applications , and more.
AWS Cloud Essentials for Business Leaders
In this course, you will learn the fundamental concepts of …
What you'll learn
Explain the role of information technology (IT) in an organization for business transformation
Explain the customer value proposition for using the cloud across industries
Define key characteristics of cloud computing
Explain the cloud business model
Identify key security practices of cloud computing
Frame the cloud business value using the Cloud Value Framework
What you'll learn
Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services
Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture
Recommend the appropriate AWS services to develop a microservices based cloud-native application
Use the AWS API, CLI, and SDKs to monitor and manage AWS services
Migrate a monolithic application to a microservices application using the 6 Rs of migration
Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS
What you'll learn
Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript
Interact with AWS services and develop solutions by using the AWS SDK
Use AWS Identity and Access Management (IAM) for service authentication
Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
Use Amazon Cognito for user authentication
Use Amazon ElastiCache to improve application scalability
Leverage the CI/CD pipeline to deploy applications on AWS
Cloud Operations on AWS
Cloud Operations on AWS is a three-day, instructor-led classroom course. …
What you'll learn
Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar
Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM)
Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config
Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment Objectives