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AWS Cloud Practitioner Essentials
What you'll learn
Summarize the working definition of AWS
Differentiate between on-premises, hybrid-cloud, and all-in cloud
Describe the basic global infrastructure of the AWS Cloud
Explain the six benefits of the AWS Cloud
Describe and provide an example of the core AWS services, including compute, network, databases, and storage
Identify an appropriate solution using AWS Cloud services with various use cases
Describe the AWS Well-Architected Framework
Explain the shared responsibility model
Describe the core security services within the AWS Cloud
Describe the basics of AWS Cloud migration
Articulate the financial benefits of the AWS Cloud for an organization’s cost management
Define the core billing, account management, and pricing models
Explain how to use pricing tools to make cost-effective choices for AWS services
Developing Generative AI Applications on AWS
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.
Security Engineering on AWS
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.
AWS Technical Essentials
What you'll learn
Terminology and concepts related to the AWS platform
How to navigate the AWS Management Console
Key concepts of AWS security measures and AWS Identity and Access Management (IAM)
Cloud Operations on AWS
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
DevOps Engineering on AWS
What you'll learn
List the advantages of small DevOps teams
List the roles and responsibilities of the members of a typical small DevOps team
Leverage AWS Cloud9 to write, run and debug your code as well as share your cloud-based IDE with your dev team.
Build continuous integration/continuous delivery (CI/CD) pipelines including testing and security
Develop Git branching strategies and integrate with CI/CD pipeline for various environments
Use AWS CloudFormation to deploy development, test, and production environments for a software development project
Design and implement an infrastructure on AWS that supports DevOps development projects
Build a CI/CD pipeline for AWS CloudFormation templates
Establish collaboration by bringing together the workflows and responsibilities of development and operations
Host secure, highly scalable private Git repositories with AWS CodeCommit
Leverage Amazon Elastic Container Registry (Amazon ECR) to securely store Docker container images and integrate with AWS CodeBuild and Amazon Elastic Container Service (Amazon ECS).
Automate build, test, and packaging code with AWS CodeBuild
Integrate security in the CI/CD pipelines tools and services
Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
Automate software deployments to Amazon Elastic Compute Cloud (Amazon EC2), on-premises computes, AWS ECS (Amazon EC2 /AWS Fargate), and AWS Lambda with AWS CodeDeploy
Automate your release pipelines (build, test, deploy) with AWS CodePipeline
Monitor an application and environment using AWS tools and technologies
Architecting on AWS
What you'll learn
Making decisions based on the AWS-recommended architectural principles and best practices
Leveraging AWS services to make your infrastructure scalable, reliable, and highly available
Leveraging AWS managed services to enable greater flexibility and resiliency in an infrastructure
Making an AWS-based infrastructure more efficient in order to increase performance and reduce costs
Using the Well-Architected Framework to improve architectures with AWS solutions
To reinforce this material, you will also explore case studies with a variety of AWS infrastructure designs and strategies.
After the course, you will be fully equipped to build and scale a more efficient and reliable IT solution on the AWS cloud environment.
Advanced Architecting on AWS
What you'll learn
Apply the AWS Well-Architected Framework
Manage multiple AWS accounts for your organization
Connect an on-premises datacenter to the AWS Cloud
Discuss billing implications of connecting multi-region VPCs
Move large data from an on-premises datacenter to AWS
Design large data stores for the AWS Cloud
Understand different architectural designs for scaling a large website
Protect your infrastructure from distributed denial of service (DDOS) attacks
Secure your data on AWS with encryption
Design protection of data at rest and data in transit
Enhance the performance of your solutions
Select the most appropriate AWS deployment mechanism
Developing on 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
Advanced Developing on AWS
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
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AWS Cloud Practitioner Essentials
What you'll learn
Summarize the working definition of AWS
Differentiate between on-premises, hybrid-cloud, and all-in cloud
Describe the basic global infrastructure of the AWS Cloud
Explain the six benefits of the AWS Cloud
Describe and provide an example of the core AWS services, including compute, network, databases, and storage
Identify an appropriate solution using AWS Cloud services with various use cases
Describe the AWS Well-Architected Framework
Explain the shared responsibility model
Describe the core security services within the AWS Cloud
Describe the basics of AWS Cloud migration
Articulate the financial benefits of the AWS Cloud for an organization’s cost management
Define the core billing, account management, and pricing models
Explain how to use pricing tools to make cost-effective choices for AWS services
Developing Generative AI Applications on AWS
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.
Security Engineering on AWS
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.
AWS Technical Essentials
What you'll learn
Terminology and concepts related to the AWS platform
How to navigate the AWS Management Console
Key concepts of AWS security measures and AWS Identity and Access Management (IAM)
Cloud Operations on AWS
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
DevOps Engineering on AWS
What you'll learn
List the advantages of small DevOps teams
List the roles and responsibilities of the members of a typical small DevOps team
Leverage AWS Cloud9 to write, run and debug your code as well as share your cloud-based IDE with your dev team.
Build continuous integration/continuous delivery (CI/CD) pipelines including testing and security
Develop Git branching strategies and integrate with CI/CD pipeline for various environments
Use AWS CloudFormation to deploy development, test, and production environments for a software development project
Design and implement an infrastructure on AWS that supports DevOps development projects
Build a CI/CD pipeline for AWS CloudFormation templates
Establish collaboration by bringing together the workflows and responsibilities of development and operations
Host secure, highly scalable private Git repositories with AWS CodeCommit
Leverage Amazon Elastic Container Registry (Amazon ECR) to securely store Docker container images and integrate with AWS CodeBuild and Amazon Elastic Container Service (Amazon ECS).
Automate build, test, and packaging code with AWS CodeBuild
Integrate security in the CI/CD pipelines tools and services
Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
Automate software deployments to Amazon Elastic Compute Cloud (Amazon EC2), on-premises computes, AWS ECS (Amazon EC2 /AWS Fargate), and AWS Lambda with AWS CodeDeploy
Automate your release pipelines (build, test, deploy) with AWS CodePipeline
Monitor an application and environment using AWS tools and technologies
Architecting on AWS
What you'll learn
Making decisions based on the AWS-recommended architectural principles and best practices
Leveraging AWS services to make your infrastructure scalable, reliable, and highly available
Leveraging AWS managed services to enable greater flexibility and resiliency in an infrastructure
Making an AWS-based infrastructure more efficient in order to increase performance and reduce costs
Using the Well-Architected Framework to improve architectures with AWS solutions
To reinforce this material, you will also explore case studies with a variety of AWS infrastructure designs and strategies.
After the course, you will be fully equipped to build and scale a more efficient and reliable IT solution on the AWS cloud environment.
Advanced Architecting on AWS
What you'll learn
Apply the AWS Well-Architected Framework
Manage multiple AWS accounts for your organization
Connect an on-premises datacenter to the AWS Cloud
Discuss billing implications of connecting multi-region VPCs
Move large data from an on-premises datacenter to AWS
Design large data stores for the AWS Cloud
Understand different architectural designs for scaling a large website
Protect your infrastructure from distributed denial of service (DDOS) attacks
Secure your data on AWS with encryption
Design protection of data at rest and data in transit
Enhance the performance of your solutions
Select the most appropriate AWS deployment mechanism
Developing on 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
Advanced Developing on AWS
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
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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 Practitioner Essentials
This course is for individuals who seek an overall understanding …
What you'll learn
Summarize the working definition of AWS
Differentiate between on-premises, hybrid-cloud, and all-in cloud
Describe the basic global infrastructure of the AWS Cloud
Explain the six benefits of the AWS Cloud
Describe and provide an example of the core AWS services, including compute, network, databases, and storage
Identify an appropriate solution using AWS Cloud services with various use cases
Describe the AWS Well-Architected Framework
Explain the shared responsibility model
Describe the core security services within the AWS Cloud
Describe the basics of AWS Cloud migration
Articulate the financial benefits of the AWS Cloud for an organization’s cost management
Define the core billing, account management, and pricing models
Explain how to use pricing tools to make cost-effective choices for AWS services
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
Advanced Architecting on AWS
Course Description Learn how to build complex solutions that incorporate …
What you'll learn
Apply the AWS Well-Architected Framework
Manage multiple AWS accounts for your organization
Connect an on-premises datacenter to the AWS Cloud
Discuss billing implications of connecting multi-region VPCs
Move large data from an on-premises datacenter to AWS
Design large data stores for the AWS Cloud
Understand different architectural designs for scaling a large website
Protect your infrastructure from distributed denial of service (DDOS) attacks
Secure your data on AWS with encryption
Design protection of data at rest and data in transit
Enhance the performance of your solutions
Select the most appropriate AWS deployment mechanism
Architecting on AWS
Course Description In this authorized Amazon Web Services (AWS) course, …
What you'll learn
Making decisions based on the AWS-recommended architectural principles and best practices
Leveraging AWS services to make your infrastructure scalable, reliable, and highly available
Leveraging AWS managed services to enable greater flexibility and resiliency in an infrastructure
Making an AWS-based infrastructure more efficient in order to increase performance and reduce costs
Using the Well-Architected Framework to improve architectures with AWS solutions
To reinforce this material, you will also explore case studies with a variety of AWS infrastructure designs and strategies.
After the course, you will be fully equipped to build and scale a more efficient and reliable IT solution on the AWS cloud environment.
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