• Navigate the AWS Management Console
• Understand the billing considerations
• Gain hands-on experience
• Learn best practices for managing your billing credits

• Define cloud computing and describe its benefits
• Compare and contrast cloud computing service and deployment models
• Identify the AWS Global Infrastructure
• Discuss the shared responsibility model
• Describe the Well-Architected Framework and its role in building flexible and reliable architectures
• Identify the use, features, and benefits of Amazon Web Services (AWS) core services
• Practice using AWS core services in a lab environment
• Describe four entry-level cloud computing careers

• Describe block storage, object storage, and shared storage
• Identify use cases for object storage and block storage
• Identify AWS storage services (high level overview)

Amazon S3

• Summary of S3 services
• Describe basic concepts for Amazon Simple Storage Service (Amazon S3)
• Describe use cases for Amazon S3
• Identify basic Amazon S3 application programming interface (API) calls
• Articulate methods for uploading objects to Amazon S3
• Identify the features of Amazon S3
• How to protect a bucket and accessibility - Bucket policies
• Basic introduction to Amazon Elastic Block Store (Amazon EBS)
• Link the console and the CLI concepts as an introduction
• Vocareum lab on Amazon S3

Operating systems

• Operating systems overview and differences between Linux, Windows, and macOS
• Virtual computing

Amazon EC2 overview

• Identify the AWS compute services (high level)
• Explain basic concepts and use cases for Amazon Elastic Compute Cloud (Amazon EC2)
• Explain EC2 use cases and pricing models
• Demonstrate how to create an EC2 instance
• Explain EC2 instance types and configuration
• Explain EC2 storage, tags, security, and management

• Introduce the OSI model and layers
• Explain N-tier applications (use a diagram for this and cover every part of it)
• Describe a VPC and its use cases
• VPC creation settings
• Common VPC components
• Choosing a region down through subnets to describe how the AWS network is set up.
• Explain IP addresses and how they are used
• Identify use cases for Elastic IP addresses (high level)
• Explain the use cases for elastic network interfaces (high level)
• Identify additional AWS networking services

• Describe key database concepts
• Compare and contrast relational and nonrelational databases
• Identify the AWS database services
• Discuss the features and concepts of Amazon RDS
• Describe the benefits and use cases of Amazon RDS
• Describe how to set up an RDS instance using the console
• Identify how to connect to the database instance
• Discuss how to use SQL commands to read and write to the database

• Describe cloud operation fundamental concepts
• Explain the Amazon Well-Architected Framework
• Describe AWS cost and free tier structures
• Describe AWS cost management tools that are available
• Identify support plans and explain the differences between them
• Discuss AWS cloud operations services that are available to you, including Amazon Trusted Advisor, AWS Health Dashboard, Amazon CloudWatch, Amazon CloudTrail, AWS Organizations, AWS System Manage, and AWS Config

• Describe security fundamental concepts.
• Explain AWS IAM features, benefits, and use cases.
• Discuss how to create and configure IAM user, groups, and roles.
• Discuss IAM policies.
• Discuss how to setup multi-factor authentication (MFA).
• Describe how to set up password policies.
• Identify other AWS security services.

• Describe microservices and Serverless concepts.
• Discuss event-driven architectures.
• Describe the features and benefits of AWS Lambda functions.
• Discuss how to configure AWS Lambda functions.
• Identify how to monitor AWS Lambda functions.
• Describe the best practices for working with AWS Lambda.
• Identify the features and benefits of additional AWS Serverless services.

• Define the Cloud Support Associate role.
• Discuss the common daily tasks.
• Identify suggested technical skills.
• Identify suggested professional skills.
• Identify the resources that are available to learn more.
• Create a plan for continued learning.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Define what is an Amazon EBS snapshot is.
• Discuss how Amazon EBS snapshots work.
• Describe use cases for snapshots.
• Identify benefits of using snapshots.
• Explain what you can do with snapshots.
• Describe how create and use snapshots.

• Summarize the benefits of monitoring AWS systems using Amazon CloudWatch.
• Describe how Amazon CloudWatch collects, monitors, and displays service data.
• Locate the dashboards, logs, and alarms within Amazon CloudWatch.
• Explain the difference between the Amazon CloudWatch free and paid tier offerings.

• Describe artificial intelligence, machine learning, and deep learning
• List important machine learning technology
• Describe the stages of the machine learning pipeline
• Identify tools and services for machine learning
• Describe Amazon SageMaker
• Describe Jupyter notebooks and how they interact with Amazon SageMaker

• Describe the basics of AWS DeepRacer workflow
• Describe the relationship between AI/Machine Learning (ML) and Reinforcement :earning (RL)
• Configure the virtual car model in AWS DeepRacer
• Apply Reinforcement Learning (RL) to train and evaluate the model
• Deploy model to compete in AWS DeepRacer Autonomous Racing League

• Use Amazon Cognito to security an application
• Use Amazon DynamoDB to store data
• Use AWS Step Functions to deliver reports

• Define generative artificial intelligence (AI).
• Describe foundation models.
• Discuss use cases for generative AI.
• Identify the features and benefits of AWS generative AI services.

• Understand how Amazon CodeWhisperer works
• Familiarize yourself with the technical concepts of CodeWhisperer
• List typical use cases for CodeWhisperer
• Specify how to implement CodeWhisperer in a real-world scenario
• Recognize the benefits of CodeWhisperer
• Learn about the cost structure of CodeWhisperer

• Discuss what prompt engineering is
• Identify some key CodeWhisperer features
• Explain how to use CodeWhisperer using Visual Studio Code
• Describe how CodeWhisperer can be used with other AWS services

• Describe foundation models (FMs).
• Explain what Amazon Bedrock is used for.
• Identify Amazon Bedrock features.
• Discuss how to use Amazon Bedrock playgrounds.

• Investigate the different types of data visualization in gaining business insights in the sports industry
• Use data models and visualization tools to support decision making

• Describe the basics of cloud computing and Amazon Web Services (AWS) technology
• Compare cloud computing with on-premises computing in terms of energy efficiency

• Recognize the important role that cloud computing and Internet of Things (IoT) sensors play in conservation of endangered species.
• Apply basic computer science principles to revise parameters of a search algorithm to increase precision.
• Perform basic data collection and data analysis using Amazon Simple Storage Service (Amazon S3) storage and Amazon Athena to detect genetic traits.
• Describe key concepts of conservation genomics research to improve biodiversity.

• Explain the role of AWS Cloud computing and big data in genetic sequencing.
• Explore Amazon Simple Storage Service (Amazon S3) and describe how it may be used in relation to cancer research.
• Analyze genomic data sets using SQL in Athena.
• Apply scientific research process to detecting and matching patterns within data sets.

• Gain a basic understanding of global environmental challenges.
• Describe key terms of sustainability.
• Understand major environmental challenges that might affect cloud computing and data centers.
• Describe the basics of cloud computing and Amazon Web Services (AWS) technology.
• Compare cloud computing with on-premises computing in terms of energy efficiency.
• Evaluate the design of a sustainable data center through simulation.
• Articulate key sustainability initiatives at Amazon.
• Identify Amazon or Amazon Web Services (AWS) technology used in improving the global environment.

• Describe the basics of Amazon Web Services (AWS) services that this unit presents
• Interact with chatbot by using natural language and speech
• Describe the workflow of building a chatbot
• Explore the Amazon Lex console through simulation
• Recognize the role of technology in improving accessibility
• Describe function of Amazon Translate, Amazon Rekognition, and Amazon Polly
• Explore Amazon Web Services (AWS) services that use natural language and speech

• Navigate the AWS Management Console
• Understand the billing considerations
• Gain hands-on experience
• Learn best practices for managing your billing credits

• Define cloud computing and describe its benefits
• Compare and contrast cloud computing service and deployment models
• Identify the AWS Global Infrastructure
• Discuss the shared responsibility model
• Describe the Well-Architected Framework and its role in building flexible and reliable architectures
• Identify the use, features, and benefits of Amazon Web Services (AWS) core services
• Practice using AWS core services in a lab environment
• Describe four entry-level cloud computing careers

• Describe block storage, object storage, and shared storage
• Identify use cases for object storage and block storage
• Identify AWS storage services (high level overview)

Amazon S3

• Summary of S3 services
• Describe basic concepts for Amazon Simple Storage Service (Amazon S3)
• Describe use cases for Amazon S3
• Identify basic Amazon S3 application programming interface (API) calls
• Articulate methods for uploading objects to Amazon S3
• Identify the features of Amazon S3
• How to protect a bucket and accessibility - Bucket policies
• Basic introduction to Amazon Elastic Block Store (Amazon EBS)
• Link the console and the CLI concepts as an introduction
• Vocareum lab on Amazon S3

Operating systems

• Operating systems overview and differences between Linux, Windows, and macOS
• Virtual computing

Amazon EC2 overview

• Identify the AWS compute services (high level)
• Explain basic concepts and use cases for Amazon Elastic Compute Cloud (Amazon EC2)
• Explain EC2 use cases and pricing models
• Demonstrate how to create an EC2 instance
• Explain EC2 instance types and configuration
• Explain EC2 storage, tags, security, and management

• Introduce the OSI model and layers
• Explain N-tier applications (use a diagram for this and cover every part of it)
• Describe a VPC and its use cases
• VPC creation settings
• Common VPC components
• Choosing a region down through subnets to describe how the AWS network is set up.
• Explain IP addresses and how they are used
• Identify use cases for Elastic IP addresses (high level)
• Explain the use cases for elastic network interfaces (high level)
• Identify additional AWS networking services

• Describe key database concepts
• Compare and contrast relational and nonrelational databases
• Identify the AWS database services
• Discuss the features and concepts of Amazon RDS
• Describe the benefits and use cases of Amazon RDS
• Describe how to set up an RDS instance using the console
• Identify how to connect to the database instance
• Discuss how to use SQL commands to read and write to the database

• Describe cloud operation fundamental concepts
• Explain the Amazon Well-Architected Framework
• Describe AWS cost and free tier structures
• Describe AWS cost management tools that are available
• Identify support plans and explain the differences between them
• Discuss AWS cloud operations services that are available to you, including Amazon Trusted Advisor, AWS Health Dashboard, Amazon CloudWatch, Amazon CloudTrail, AWS Organizations, AWS System Manage, and AWS Config

• Describe security fundamental concepts.
• Explain AWS IAM features, benefits, and use cases.
• Discuss how to create and configure IAM user, groups, and roles.
• Discuss IAM policies.
• Discuss how to setup multi-factor authentication (MFA).
• Describe how to set up password policies.
• Identify other AWS security services.

• Describe microservices and Serverless concepts.
• Discuss event-driven architectures.
• Describe the features and benefits of AWS Lambda functions.
• Discuss how to configure AWS Lambda functions.
• Identify how to monitor AWS Lambda functions.
• Describe the best practices for working with AWS Lambda.
• Identify the features and benefits of additional AWS Serverless services.

• Define the Cloud Support Associate role.
• Discuss the common daily tasks.
• Identify suggested technical skills.
• Identify suggested professional skills.
• Identify the resources that are available to learn more.
• Create a plan for continued learning.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Define what is an Amazon EBS snapshot is.
• Discuss how Amazon EBS snapshots work.
• Describe use cases for snapshots.
• Identify benefits of using snapshots.
• Explain what you can do with snapshots.
• Describe how create and use snapshots.

• Summarize the benefits of monitoring AWS systems using Amazon CloudWatch.
• Describe how Amazon CloudWatch collects, monitors, and displays service data.
• Locate the dashboards, logs, and alarms within Amazon CloudWatch.
• Explain the difference between the Amazon CloudWatch free and paid tier offerings.

• Describe artificial intelligence, machine learning, and deep learning
• List important machine learning technology
• Describe the stages of the machine learning pipeline
• Identify tools and services for machine learning
• Describe Amazon SageMaker
• Describe Jupyter notebooks and how they interact with Amazon SageMaker

• Describe the basics of AWS DeepRacer workflow
• Describe the relationship between AI/Machine Learning (ML) and Reinforcement :earning (RL)
• Configure the virtual car model in AWS DeepRacer
• Apply Reinforcement Learning (RL) to train and evaluate the model
• Deploy model to compete in AWS DeepRacer Autonomous Racing League

• Use Amazon Cognito to security an application
• Use Amazon DynamoDB to store data
• Use AWS Step Functions to deliver reports

• Define generative artificial intelligence (AI).
• Describe foundation models.
• Discuss use cases for generative AI.
• Identify the features and benefits of AWS generative AI services.

• Understand how Amazon CodeWhisperer works
• Familiarize yourself with the technical concepts of CodeWhisperer
• List typical use cases for CodeWhisperer
• Specify how to implement CodeWhisperer in a real-world scenario
• Recognize the benefits of CodeWhisperer
• Learn about the cost structure of CodeWhisperer

• Discuss what prompt engineering is
• Identify some key CodeWhisperer features
• Explain how to use CodeWhisperer using Visual Studio Code
• Describe how CodeWhisperer can be used with other AWS services

• Describe foundation models (FMs).
• Explain what Amazon Bedrock is used for.
• Identify Amazon Bedrock features.
• Discuss how to use Amazon Bedrock playgrounds.

• Investigate the different types of data visualization in gaining business insights in the sports industry
• Use data models and visualization tools to support decision making

• Describe the basics of cloud computing and Amazon Web Services (AWS) technology
• Compare cloud computing with on-premises computing in terms of energy efficiency

• Recognize the important role that cloud computing and Internet of Things (IoT) sensors play in conservation of endangered species.
• Apply basic computer science principles to revise parameters of a search algorithm to increase precision.
• Perform basic data collection and data analysis using Amazon Simple Storage Service (Amazon S3) storage and Amazon Athena to detect genetic traits.
• Describe key concepts of conservation genomics research to improve biodiversity.

• Explain the role of AWS Cloud computing and big data in genetic sequencing.
• Explore Amazon Simple Storage Service (Amazon S3) and describe how it may be used in relation to cancer research.
• Analyze genomic data sets using SQL in Athena.
• Apply scientific research process to detecting and matching patterns within data sets.

• Gain a basic understanding of global environmental challenges.
• Describe key terms of sustainability.
• Understand major environmental challenges that might affect cloud computing and data centers.
• Describe the basics of cloud computing and Amazon Web Services (AWS) technology.
• Compare cloud computing with on-premises computing in terms of energy efficiency.
• Evaluate the design of a sustainable data center through simulation.
• Articulate key sustainability initiatives at Amazon.
• Identify Amazon or Amazon Web Services (AWS) technology used in improving the global environment.

• Describe the basics of Amazon Web Services (AWS) services that this unit presents
• Interact with chatbot by using natural language and speech
• Describe the workflow of building a chatbot
• Explore the Amazon Lex console through simulation
• Recognize the role of technology in improving accessibility
• Describe function of Amazon Translate, Amazon Rekognition, and Amazon Polly
• Explore Amazon Web Services (AWS) services that use natural language and speech

• Navigate the AWS Management Console
• Understand the billing considerations
• Gain hands-on experience
• Learn best practices for managing your billing credits

• Define cloud computing and describe its benefits
• Compare and contrast cloud computing service and deployment models
• Identify the AWS Global Infrastructure
• Discuss the shared responsibility model
• Describe the Well-Architected Framework and its role in building flexible and reliable architectures
• Identify the use, features, and benefits of Amazon Web Services (AWS) core services
• Practice using AWS core services in a lab environment
• Describe four entry-level cloud computing careers

• Describe block storage, object storage, and shared storage
• Identify use cases for object storage and block storage
• Identify AWS storage services (high level overview)

Amazon S3

• Summary of S3 services
• Describe basic concepts for Amazon Simple Storage Service (Amazon S3)
• Describe use cases for Amazon S3
• Identify basic Amazon S3 application programming interface (API) calls
• Articulate methods for uploading objects to Amazon S3
• Identify the features of Amazon S3
• How to protect a bucket and accessibility - Bucket policies
• Basic introduction to Amazon Elastic Block Store (Amazon EBS)
• Link the console and the CLI concepts as an introduction
• Vocareum lab on Amazon S3

Operating systems

• Operating systems overview and differences between Linux, Windows, and macOS
• Virtual computing

Amazon EC2 overview

• Identify the AWS compute services (high level)
• Explain basic concepts and use cases for Amazon Elastic Compute Cloud (Amazon EC2)
• Explain EC2 use cases and pricing models
• Demonstrate how to create an EC2 instance
• Explain EC2 instance types and configuration
• Explain EC2 storage, tags, security, and management

• Introduce the OSI model and layers
• Explain N-tier applications (use a diagram for this and cover every part of it)
• Describe a VPC and its use cases
• VPC creation settings
• Common VPC components
• Choosing a region down through subnets to describe how the AWS network is set up.
• Explain IP addresses and how they are used
• Identify use cases for Elastic IP addresses (high level)
• Explain the use cases for elastic network interfaces (high level)
• Identify additional AWS networking services

• Describe key database concepts
• Compare and contrast relational and nonrelational databases
• Identify the AWS database services
• Discuss the features and concepts of Amazon RDS
• Describe the benefits and use cases of Amazon RDS
• Describe how to set up an RDS instance using the console
• Identify how to connect to the database instance
• Discuss how to use SQL commands to read and write to the database

• Describe cloud operation fundamental concepts
• Explain the Amazon Well-Architected Framework
• Describe AWS cost and free tier structures
• Describe AWS cost management tools that are available
• Identify support plans and explain the differences between them
• Discuss AWS cloud operations services that are available to you, including Amazon Trusted Advisor, AWS Health Dashboard, Amazon CloudWatch, Amazon CloudTrail, AWS Organizations, AWS System Manage, and AWS Config

• Describe security fundamental concepts.
• Explain AWS IAM features, benefits, and use cases.
• Discuss how to create and configure IAM user, groups, and roles.
• Discuss IAM policies.
• Discuss how to setup multi-factor authentication (MFA).
• Describe how to set up password policies.
• Identify other AWS security services.

• Describe microservices and Serverless concepts.
• Discuss event-driven architectures.
• Describe the features and benefits of AWS Lambda functions.
• Discuss how to configure AWS Lambda functions.
• Identify how to monitor AWS Lambda functions.
• Describe the best practices for working with AWS Lambda.
• Identify the features and benefits of additional AWS Serverless services.

• Define the Cloud Support Associate role.
• Discuss the common daily tasks.
• Identify suggested technical skills.
• Identify suggested professional skills.
• Identify the resources that are available to learn more.
• Create a plan for continued learning.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Define what is an Amazon EBS snapshot is.
• Discuss how Amazon EBS snapshots work.
• Describe use cases for snapshots.
• Identify benefits of using snapshots.
• Explain what you can do with snapshots.
• Describe how create and use snapshots.

• Summarize the benefits of monitoring AWS systems using Amazon CloudWatch.
• Describe how Amazon CloudWatch collects, monitors, and displays service data.
• Locate the dashboards, logs, and alarms within Amazon CloudWatch.
• Explain the difference between the Amazon CloudWatch free and paid tier offerings.

• Describe artificial intelligence, machine learning, and deep learning
• List important machine learning technology
• Describe the stages of the machine learning pipeline
• Identify tools and services for machine learning
• Describe Amazon SageMaker
• Describe Jupyter notebooks and how they interact with Amazon SageMaker

• Describe the basics of AWS DeepRacer workflow
• Describe the relationship between AI/Machine Learning (ML) and Reinforcement :earning (RL)
• Configure the virtual car model in AWS DeepRacer
• Apply Reinforcement Learning (RL) to train and evaluate the model
• Deploy model to compete in AWS DeepRacer Autonomous Racing League

• Use Amazon Cognito to security an application
• Use Amazon DynamoDB to store data
• Use AWS Step Functions to deliver reports

• Define generative artificial intelligence (AI).
• Describe foundation models.
• Discuss use cases for generative AI.
• Identify the features and benefits of AWS generative AI services.

• Understand how Amazon CodeWhisperer works
• Familiarize yourself with the technical concepts of CodeWhisperer
• List typical use cases for CodeWhisperer
• Specify how to implement CodeWhisperer in a real-world scenario
• Recognize the benefits of CodeWhisperer
• Learn about the cost structure of CodeWhisperer

• Discuss what prompt engineering is
• Identify some key CodeWhisperer features
• Explain how to use CodeWhisperer using Visual Studio Code
• Describe how CodeWhisperer can be used with other AWS services

• Describe foundation models (FMs).
• Explain what Amazon Bedrock is used for.
• Identify Amazon Bedrock features.
• Discuss how to use Amazon Bedrock playgrounds.

• Investigate the different types of data visualization in gaining business insights in the sports industry
• Use data models and visualization tools to support decision making

• Describe the basics of cloud computing and Amazon Web Services (AWS) technology
• Compare cloud computing with on-premises computing in terms of energy efficiency

• Recognize the important role that cloud computing and Internet of Things (IoT) sensors play in conservation of endangered species.
• Apply basic computer science principles to revise parameters of a search algorithm to increase precision.
• Perform basic data collection and data analysis using Amazon Simple Storage Service (Amazon S3) storage and Amazon Athena to detect genetic traits.
• Describe key concepts of conservation genomics research to improve biodiversity.

• Explain the role of AWS Cloud computing and big data in genetic sequencing.
• Explore Amazon Simple Storage Service (Amazon S3) and describe how it may be used in relation to cancer research.
• Analyze genomic data sets using SQL in Athena.
• Apply scientific research process to detecting and matching patterns within data sets.

• Gain a basic understanding of global environmental challenges.
• Describe key terms of sustainability.
• Understand major environmental challenges that might affect cloud computing and data centers.
• Describe the basics of cloud computing and Amazon Web Services (AWS) technology.
• Compare cloud computing with on-premises computing in terms of energy efficiency.
• Evaluate the design of a sustainable data center through simulation.
• Articulate key sustainability initiatives at Amazon.
• Identify Amazon or Amazon Web Services (AWS) technology used in improving the global environment.

• Describe the basics of Amazon Web Services (AWS) services that this unit presents
• Interact with chatbot by using natural language and speech
• Describe the workflow of building a chatbot
• Explore the Amazon Lex console through simulation
• Recognize the role of technology in improving accessibility
• Describe function of Amazon Translate, Amazon Rekognition, and Amazon Polly
• Explore Amazon Web Services (AWS) services that use natural language and speech

• Navigate the AWS Management Console
• Understand the billing considerations
• Gain hands-on experience
• Learn best practices for managing your billing credits

• Define cloud computing and describe its benefits
• Compare and contrast cloud computing service and deployment models
• Identify the AWS Global Infrastructure
• Discuss the shared responsibility model
• Describe the Well-Architected Framework and its role in building flexible and reliable architectures
• Identify the use, features, and benefits of Amazon Web Services (AWS) core services
• Practice using AWS core services in a lab environment
• Describe four entry-level cloud computing careers

• Describe block storage, object storage, and shared storage
• Identify use cases for object storage and block storage
• Identify AWS storage services (high level overview)

Amazon S3

• Summary of S3 services
• Describe basic concepts for Amazon Simple Storage Service (Amazon S3)
• Describe use cases for Amazon S3
• Identify basic Amazon S3 application programming interface (API) calls
• Articulate methods for uploading objects to Amazon S3
• Identify the features of Amazon S3
• How to protect a bucket and accessibility - Bucket policies
• Basic introduction to Amazon Elastic Block Store (Amazon EBS)
• Link the console and the CLI concepts as an introduction
• Vocareum lab on Amazon S3

Operating systems

• Operating systems overview and differences between Linux, Windows, and macOS
• Virtual computing

Amazon EC2 overview

• Identify the AWS compute services (high level)
• Explain basic concepts and use cases for Amazon Elastic Compute Cloud (Amazon EC2)
• Explain EC2 use cases and pricing models
• Demonstrate how to create an EC2 instance
• Explain EC2 instance types and configuration
• Explain EC2 storage, tags, security, and management

• Introduce the OSI model and layers
• Explain N-tier applications (use a diagram for this and cover every part of it)
• Describe a VPC and its use cases
• VPC creation settings
• Common VPC components
• Choosing a region down through subnets to describe how the AWS network is set up.
• Explain IP addresses and how they are used
• Identify use cases for Elastic IP addresses (high level)
• Explain the use cases for elastic network interfaces (high level)
• Identify additional AWS networking services

• Describe key database concepts
• Compare and contrast relational and nonrelational databases
• Identify the AWS database services
• Discuss the features and concepts of Amazon RDS
• Describe the benefits and use cases of Amazon RDS
• Describe how to set up an RDS instance using the console
• Identify how to connect to the database instance
• Discuss how to use SQL commands to read and write to the database

• Describe cloud operation fundamental concepts
• Explain the Amazon Well-Architected Framework
• Describe AWS cost and free tier structures
• Describe AWS cost management tools that are available
• Identify support plans and explain the differences between them
• Discuss AWS cloud operations services that are available to you, including Amazon Trusted Advisor, AWS Health Dashboard, Amazon CloudWatch, Amazon CloudTrail, AWS Organizations, AWS System Manage, and AWS Config

• Describe security fundamental concepts.
• Explain AWS IAM features, benefits, and use cases.
• Discuss how to create and configure IAM user, groups, and roles.
• Discuss IAM policies.
• Discuss how to setup multi-factor authentication (MFA).
• Describe how to set up password policies.
• Identify other AWS security services.

• Describe microservices and Serverless concepts.
• Discuss event-driven architectures.
• Describe the features and benefits of AWS Lambda functions.
• Discuss how to configure AWS Lambda functions.
• Identify how to monitor AWS Lambda functions.
• Describe the best practices for working with AWS Lambda.
• Identify the features and benefits of additional AWS Serverless services.

• Define the Cloud Support Associate role.
• Discuss the common daily tasks.
• Identify suggested technical skills.
• Identify suggested professional skills.
• Identify the resources that are available to learn more.
• Create a plan for continued learning.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Describe user data and when user data should be updated.
• Navigate the console to edit user data.
• Modify user data for a running instance.

• Define what is an Amazon EBS snapshot is.
• Discuss how Amazon EBS snapshots work.
• Describe use cases for snapshots.
• Identify benefits of using snapshots.
• Explain what you can do with snapshots.
• Describe how create and use snapshots.

• Summarize the benefits of monitoring AWS systems using Amazon CloudWatch.
• Describe how Amazon CloudWatch collects, monitors, and displays service data.
• Locate the dashboards, logs, and alarms within Amazon CloudWatch.
• Explain the difference between the Amazon CloudWatch free and paid tier offerings.

• Describe artificial intelligence, machine learning, and deep learning
• List important machine learning technology
• Describe the stages of the machine learning pipeline
• Identify tools and services for machine learning
• Describe Amazon SageMaker
• Describe Jupyter notebooks and how they interact with Amazon SageMaker

• Describe the basics of AWS DeepRacer workflow
• Describe the relationship between AI/Machine Learning (ML) and Reinforcement :earning (RL)
• Configure the virtual car model in AWS DeepRacer
• Apply Reinforcement Learning (RL) to train and evaluate the model
• Deploy model to compete in AWS DeepRacer Autonomous Racing League

• Use Amazon Cognito to security an application
• Use Amazon DynamoDB to store data
• Use AWS Step Functions to deliver reports

• Define generative artificial intelligence (AI).
• Describe foundation models.
• Discuss use cases for generative AI.
• Identify the features and benefits of AWS generative AI services.

• Understand how Amazon CodeWhisperer works
• Familiarize yourself with the technical concepts of CodeWhisperer
• List typical use cases for CodeWhisperer
• Specify how to implement CodeWhisperer in a real-world scenario
• Recognize the benefits of CodeWhisperer
• Learn about the cost structure of CodeWhisperer

• Discuss what prompt engineering is
• Identify some key CodeWhisperer features
• Explain how to use CodeWhisperer using Visual Studio Code
• Describe how CodeWhisperer can be used with other AWS services

• Describe foundation models (FMs).
• Explain what Amazon Bedrock is used for.
• Identify Amazon Bedrock features.
• Discuss how to use Amazon Bedrock playgrounds.

• Investigate the different types of data visualization in gaining business insights in the sports industry
• Use data models and visualization tools to support decision making

• Describe the basics of cloud computing and Amazon Web Services (AWS) technology
• Compare cloud computing with on-premises computing in terms of energy efficiency

• Recognize the important role that cloud computing and Internet of Things (IoT) sensors play in conservation of endangered species.
• Apply basic computer science principles to revise parameters of a search algorithm to increase precision.
• Perform basic data collection and data analysis using Amazon Simple Storage Service (Amazon S3) storage and Amazon Athena to detect genetic traits.
• Describe key concepts of conservation genomics research to improve biodiversity.

• Explain the role of AWS Cloud computing and big data in genetic sequencing.
• Explore Amazon Simple Storage Service (Amazon S3) and describe how it may be used in relation to cancer research.
• Analyze genomic data sets using SQL in Athena.
• Apply scientific research process to detecting and matching patterns within data sets.

• Gain a basic understanding of global environmental challenges.
• Describe key terms of sustainability.
• Understand major environmental challenges that might affect cloud computing and data centers.
• Describe the basics of cloud computing and Amazon Web Services (AWS) technology.
• Compare cloud computing with on-premises computing in terms of energy efficiency.
• Evaluate the design of a sustainable data center through simulation.
• Articulate key sustainability initiatives at Amazon.
• Identify Amazon or Amazon Web Services (AWS) technology used in improving the global environment.

• Describe the basics of Amazon Web Services (AWS) services that this unit presents
• Interact with chatbot by using natural language and speech
• Describe the workflow of building a chatbot
• Explore the Amazon Lex console through simulation
• Recognize the role of technology in improving accessibility
• Describe function of Amazon Translate, Amazon Rekognition, and Amazon Polly
• Explore Amazon Web Services (AWS) services that use natural language and speech