Amazon Web Services (AWS) Training in Tashkent

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

By the end of this training, participants will be able to:

• Understand the AI/ML services provided by AWS.
• Be able to set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilise various AWS AI services for specific use cases.

This workshop equips candidates for the AWS Certified Solutions Architect exam by aligning exam objectives with practical knowledge and hands-on scenarios.

This instructor-led, live training (online or onsite) targets intermediate-level to advanced-level cloud practitioners who want to consolidate architect-level knowledge, practice exam-style questions, and build confidence for certification.

By the end of this training, participants will be able to:

• Map AWS services and architectural patterns to exam domains and objectives.
• Design resilient, high-performing, secure, and cost-optimized architectures on AWS.
• Apply best practices from the Well-Architected Framework to real-world scenarios.
• Approach and solve exam-style multiple-choice and scenario questions with effective strategies.
• Identify personal study gaps and create a focused preparation plan for the certification exam.

Format of the Course

• Interactive lecture and domain mapping to the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Transitioning to AWS involves evaluating, organizing, and relocating applications, data, and infrastructure from on-premises environments or other cloud providers into AWS, leveraging established tools, patterns, and migration services.

This instructor-led live training (available online or onsite) is designed for intermediate IT professionals and cloud practitioners who want to plan and execute secure, cost-efficient migrations to AWS with minimal impact on business operations.

Upon completing this training, participants will be able to:

• Evaluate application portfolios and establish migration strategies and phased waves.
• Utilize AWS discovery tools and migration services (MGN, DMS) to carry out lift-and-shift and data migrations.
• Architect network, security, and transfer frameworks to support migration activities.
• Execute test cutovers, validate migrated workloads, and implement rollback procedures.
• Optimize migrated workloads for cost efficiency, performance, and operational readiness.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations within the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Customization Options

• To request a tailored training version for this course, please contact us to arrange.

AWS Migration Essentials is a practical course that covers the core steps, tools, and best practices for migrating on-premises applications, servers, and databases to AWS.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals and cloud practitioners who wish to assess, plan, execute, and validate migrations to AWS with minimal disruption to business operations.

By the end of this training, participants will be able to:

• Define a migration strategy and assess workloads for cloud readiness using discovery tools and migration frameworks.
• Use AWS Application Migration Service (MGN) to perform lift-and-shift server migrations safely and efficiently.
• Plan and execute database migrations using AWS Database Migration Service with minimal downtime.
• Design network, security, and data transfer architectures to support migration and cutover activities.
• Validate migrated workloads, implement rollback plans, and apply post-migration optimization and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS is a comprehensive cloud platform offering services for compute, storage, networking, monitoring, and automation that support robust, scalable, and resilient operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level operations and platform engineers who wish to operate, monitor, automate, and run production workloads on AWS reliably and securely.

By the end of this training, participants will be able to:

• Operate and monitor AWS workloads using CloudWatch, CloudTrail, and observability best practices.
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools such as Terraform and AWS CloudFormation.
• Design and operate CI/CD pipelines, deployment strategies, and release automation for cloud services.
• Implement operational security, identity controls, and runbook-driven incident response.
• Apply cost management, backup, and disaster recovery practices for production cloud environments.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led console and CLI demonstrations.
• Hands-on labs and scenario-based exercises.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS (Amazon Web Services) is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, enabling organizations to build scalable and cost-effective solutions.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level business and technical stakeholders who wish to understand core AWS services, the value proposition of the cloud, cost models, security fundamentals, and how to align AWS capabilities with organisational objectives.

By the end of this training, participants will be able to:

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business challenges (compute, storage, databases, networking, analytics).
• Recognise basic security, compliance, and governance considerations within the AWS cloud.
• Outline a simple migration or cloud adoption plan, including high-level cost and risk considerations.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations within the AWS console.
• Group exercises and scenario-based workshops.

Course Customisation Options

• To request customised training for this course, please contact us to make arrangements.

AWS is Amazon's cloud computing platform that provides a wide range of services for computing, storage, networking, and application integration.

This instructor-led, live training (online or onsite) is aimed at beginner-level cloud professionals who wish to learn AWS fundamentals through hands-on practice.

By the end of this training, participants will be able to:

• Understand cloud computing concepts and AWS global infrastructure.
• Launch and configure compute, storage, and networking services in AWS.
• Apply IAM policies and security best practices.
• Integrate services and build a simple cloud-based web application.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Presented as an instructor-led, live training session (Tashkent online or in-person), this course is designed for advanced cloud professionals eager to master cloud infrastructure management and automation using AWS Cloud9 and AWS CDK.

By the conclusion of this training, participants will be able to:

• Set up and configure AWS Cloud9 for infrastructure management.
• Understand and apply AWS CDK to automate cloud resource provisioning.
• Design efficient and scalable cloud infrastructure solutions.
• Optimize cloud resources to improve performance and reduce costs.
• Implement advanced security and compliance strategies in AWS infrastructure.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level developers who wish to master building and deploying microservices with AWS Cloud9 and other AWS services.

By the end of this training, participants will be able to:

• Understand microservices architecture and its benefits.
• Set up a microservices development environment on AWS Cloud9.
• Build, test, and deploy microservices using Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Apply DevOps practices to manage microservices deployments.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

By the end of this training, participants will be able to:

• Set up a data science environment in AWS Cloud9.
• Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
• Utilize AWS Cloud9 for machine learning model development and deployment.
• Optimize cloud-based workflows for data analysis and processing.

The AWS Cloud Practitioner Essentials course offers a foundational overview of AWS Cloud concepts, services, security, architecture, pricing, and support.

This live, instructor-led training is available both online and onsite. It is designed for beginner-level professionals seeking to understand AWS at a conceptual level and establish a solid foundation for future AWS learning or certification.

Upon completing this training, participants will be able to:

• Describe the AWS Cloud's basic global infrastructure.
• Explain key AWS services and their common use cases.
• Understand cloud security and compliance within AWS.
• Navigate AWS pricing models and support plans.

Course Format

• Interactive lectures and discussions.
• Hands-on practice with the AWS Console through guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request customized training tailored to your organization’s learning goals or cloud strategy, please contact us.

This instructor-led, live training in Tashkent (online or onsite) is designed for intermediate-level Python developers who want to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led live training, available online or on-site, is designed for beginner developers looking to configure and leverage AWS Cloud9 for cloud-based development projects.

Upon completion of this training, participants will be able to:

• Gain a clear understanding of the AWS Cloud9 environment and its core components.
• Configure their personal AWS Cloud9 development workspace.
• Create and execute simple applications using AWS Cloud9.
• Explore and utilize the collaboration tools within AWS Cloud9.

This instructor-led, live training in Tashkent (online or onsite) is designed for beginner to intermediate system administrators and IT professionals who want to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.

Upon completing this training, participants will be able to:

• Securely set up and configure AWS services and resources.
• Manage user identities, permissions, and access to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow to and from AWS.
• Optimize AWS service usage to ensure efficient operation and cost management.

This instructor-led, live training in Tashkent (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn how to conduct an AWS security audit effectively and efficiently.

By the end of this training, participants will be able to:

• Understand the core concepts and benefits of AWS security audit.
• Use AWS tools and services to perform an AWS security audit.
• Analyse and interpret the audit results and recommendations.
• Implement the audit findings and remediate the issues.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level cloud architects and developers who wish to gain the knowledge and tools necessary to efficiently manage and optimize AWS costs, aligning cloud spending with business objectives.

By the end of this training, participants will be able to:

• Understand how AWS pricing works and how different services contribute to overall costs.
• Learn how to implement cost-saving measures, utilize reserved instances, and optimize resource usage.
• Develop skills to create, manage, and adhere to budgets within the AWS framework.

This live training, led by an instructor, in Tashkent (online or onsite) is aimed at intermediate-level to advanced-level full-stack developers who wish to utilize AWS Cloud9 to streamline their development workflows.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for full-stack development.
• Develop and debug front-end applications using Cloud9.
• Build and deploy back-end services using AWS Cloud9.
• Integrate Cloud9 with AWS services for advanced deployments.
• Collaborate with team members in a cloud-based development environment.

This instructor-led, live training in Tashkent (online or onsite) is designed for beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively.

By the end of this training, participants will be able to:

• Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
• Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies and monitor AWS resources.

This instructor-led, live training in Tashkent (online or on-site) is designed for advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Tashkent (online or onsite) is intended for developers who wish to build serverless applications using services on the AWS serverless platform.

By the end of this training, participants will be able to:

• Implement event-driven best practices in designing serverless applications using appropriate AWS services.
• Build serverless applications using AWS services.
• Monitor, secure, and scale serverless applications on AWS.
• Utilize different developer tools to configure and automate serverless application deployment.
• Create and maintain a list of serverless resources that will aid in serverless application development.

This instructor-led, live training in Tashkent (online or on-site) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this training, participants will be able to:

• Understand the core principles of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for improved performance and cost efficiency.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training (available online or in-person) is designed for engineers who want to assess each service to make an informed decision about which to deploy within their organization.

By the end of this training, participants will be able to:

• Set up a development environment with all necessary libraries, packages, and frameworks to start developing.
• Set up, configure, and deploy a series of demo containers using different approaches.
• Understand the architectural and design differences among various Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This instructor-led, live training in Tashkent (available online or on-site) is designed for cloud engineers and developers who aim to leverage CloudFormation to manage infrastructure resources within the AWS ecosystem.

By the conclusion of this training, participants will be able to:

• Implement CloudFormation templates to automate infrastructure management.
• Integrate existing AWS resources into CloudFormation.
• Utilise StackSets to manage stacks across multiple accounts and regions.

Amazon Redshift is a petabyte-scale cloud-based data warehouse service within AWS.

In this instructor-led, live training, participants will gain a solid understanding of the fundamentals of Amazon Redshift.

By the end of this training, participants will be able to:

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualise data using Amazon Redshift

Audience

• Developers
• IT Professionals

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in Tashkent (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.

This instructor-led, live training in Tashkent (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

By the end of this training, participants will be able to:

• Design complex cloud solutions on AWS.
• Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
• Integrate the most appropriate AWS services with an application.
• Migrate a complex software application to AWS.
• Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.

The on-demand AWS Architect Certification training course is crafted to empower professionals with cloud capabilities through Amazon Web Services. Leveraging real-world examples, this program enables participants to grasp the practical application of core concepts including cloud computing fundamentals, Amazon Web Services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, participants will be equipped to implement their own cloud solutions utilizing resources such as EC2 instances and S3 buckets.

This instructor-led, live training in Tashkent (available online or on-site) is designed for DevOps engineers and developers who wish to leverage CodePipeline to automate release pipelines, enabling efficient updates to applications and infrastructure.

Upon completion of this training, participants will be able to utilise CodePipeline features and tools to automate and configure workflows within software release processes.

This instructor-led, live training in Tashkent (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start integrating data into DynamoDB.
• Integrate DynamoDB into web applications and mobile applications.
• Move data in AWS with AWS services.
• Implement operations with AWS DAX.

Target Audience:

This course is suitable for cloud engineers, solution architects, members of center of excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Course Objectives:

Upon completion of this course, you will be able to:

• Apply core concepts and best practices associated with the DevOps methodology
• Design and implement AWS infrastructure that supports one or more DevOps-driven development initiatives
• Utilize AWS CloudFormation and AWS OpsWorks to provision the infrastructure required to establish development, testing, and production environments for software projects
• Leverage AWS CodeCommit and explore various options for establishing a Continuous Integration environment within AWS
• Employ AWS CodePipeline to architect and execute Continuous Integration and Delivery pipelines on AWS
• Implement common Continuous Deployment scenarios using AWS technologies, such as blue/green deployments and A/B testing
• Differentiate among AWS application deployment technologies (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry) and select the most appropriate tool for specific scenarios
• Optimize application performance on AWS and utilize AWS tools to monitor applications and environments for potential issues

This 4-day program offers:

• A comprehensive understanding of core AWS services, their applications, and fundamental architecture best practices.
• The ability to design, develop, and deploy cloud-based solutions utilizing AWS.
• Practical experience in building and maintaining applications using Amazon Simple Storage Service (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

Cloud engineers, Center of Excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon completing this training, participants will be equipped to deploy and leverage AWS services from a developer's perspective.

This instructor-led, live training in Tashkent (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.

By the end of this training, participants will be able to:

• Set up an EKS based Kubernetes cluster.
• Create and run a containerized application on Amazon EKS.
• Auto-scale a Containerized Application
• Automate the Deployment Process
• Integrate EKS based applications with a new or existing Continuous Integration workflow.

This instructor-led, live training in Tashkent (onsite or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

Upon completion of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Tashkent (online or on-site) is intended for developers who aim to install, configure, and manage AWS IoT Greengrass capabilities to build applications for diverse devices.

By the end of this training, participants will be equipped to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training Tashkent (onsite or remote) is designed for developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (servers, VMs, and containers, availability, scalability, storage, etc.).

By the conclusion of this training, participants will be able to:

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with different event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Tashkent provides an overview of AWS products, services, and solutions. It is tailored for individuals and teams who are:

• evaluating or preparing for an initial deployment of their IT infrastructure on AWS.
• evaluating or preparing to migrate their existing IT infrastructure to the AWS public cloud.

By the end of this training, participants will have a clear understanding of the core components that form Amazon's cloud offerings. Through hands-on exercises, group discussions, and in-class deployment activities, participants will gain the practical experience and feedback needed to confidently carry out their own live deployments on AWS.

This instructor-led, live training in Tashkent (online or onsite) is designed for developers aiming to install, configure, and manage AWS RoboMaker to create, simulate, and deploy applications for robots, autonomous vehicles, and devices.

By the end of the training, participants will be proficient in using AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robotic applications.

This instructor-led, live training in Tashkent (available online or on-site) is designed for data scientists and developers who aim to create and train machine learning models for deployment into production-ready hosting environments.

By the end of this training, participants will be able to:

• Leverage notebook instances to prepare and upload data for training.
• Train machine learning models using training datasets.
• Deploy trained models to an endpoint to generate predictions.

This live, instructor-led training Tashkent (available online or on-site) is targeted at technical professionals who seek to understand AWS products and services, thereby enabling them to make informed decisions on implementing AWS cloud solutions within their organization.

By the end of this training, participants will be able to:

• Identify and understand the role of each service offered by AWS.
• Understand the terminology and concepts related to AWS.
• Navigate the AWS Management Console.
• Set up and manage team user accounts securely.
• Match AWS's services to an organization's problem and requirements.
• Make informed decisions about which AWS services to implement.
• Plan out a broad cloud solution strategy for an organization.

Target Audience:

• Developers
• Architects
• Administrators

This instructor-led, live training in Tashkent (online or onsite) is designed for engineers who wish to use AWS CloudFormation to automate the management of AWS cloud infrastructure.

By the end of this training, participants will be able to:

• Enable AWS services to begin managing infrastructure.
• Understand and apply the principle of "infrastructure as code".
• Improve quality and reduce the costs of deploying infrastructure.
• Write AWS CloudFormation templates using YAML.

Summary:

• Gaining a clear understanding of IoT architecture and its core functionalities.
• Examining the concepts of "Things" and "Sensors," the Internet of Things, and aligning business processes with IoT solutions.
• Reviewing the essential software components of IoT: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Exploring key IoT functions: fleet management, data visualization, SaaS-based facility and data management, alerting and alarm systems, onboarding sensors and devices, and geo-fencing.
• Mastering the fundamentals of device-to-cloud communication via MQTT.
• Connecting IoT devices to AWS using MQTT through AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Linking a Raspberry Pi to AWS IoT Core to enable seamless data exchange.
• Participating in a hands-on lab: constructing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and establishing communication interfaces for web applications.

This instructor-led, live training in Tashkent (online or onsite) is targeted at engineers who aim to deploy Machine Learning workloads to an AWS EC2 server.

By the conclusion of this training, participants will be able to:

• Install and configure Kubernetes, Kubeflow, and other necessary software on AWS.
• Utilize EKS (Elastic Kubernetes Service) to streamline the initialization of a Kubernetes cluster on AWS.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
• Train and deploy TensorFlow ML models across multiple GPUs and machines operating in parallel.
• Leverage other AWS managed services to extend an ML application.

This instructor-led, live training (available online or onsite) is designed for engineers who aim to use Terraform on AWS to plan and build cloud infrastructure.

By the end of this training, participants will be able to:

• Install and configure Terraform on AWS.
• Implement an "infrastructure as code" approach to managing AWS cloud environments.
• Create, launch, and decommission infrastructure using a single unified tool.
• Write declarative configuration files that can be managed like any other source code within a version control system.
• Quickly update configuration files to effectively respond to evolving compute resource requirements.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Enhance transparency throughout the infrastructure procurement process.