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  • Classes for both beginners and advanced students are available.
  • Top Mnc Interview Question Coverage.
  • Hands-on AWS Programming.
  • Lifetime access to the Student Portal and Study Materials.
  • Over 12402+ students have been trained, with 350+ recruiting prospects.
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Curriculum in AWS

Introduction to Cloud Computing and AWS
  • Cloud Computing
  • Cloud Service and Deployment Models
  • How AWS is the leader in the cloud domain?
  • Various cloud computing products offered by AWS
  • Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
  • AWS architecture
  • The AWS Management Console, virtualization in AWS (Xen hypervisor)
  • Auto-scaling
  • AWS EC2 best practices and costs involved
    • Elastic Compute and Storage Volumes
  • Introduction to EC2
  • Regions and Availability Zones(AZs)
  • Pre-EC2, EC2 instance types
  • Comparing Public IP and Elastic IP
  • Demonstrating how to launch an AWS EC2 instance
  • Introduction to AMIs, Creating and Copying an AMI
  • Introduction to EBS
  • EBS volume types
  • EBS Snapshots
  • Introduction to EFS
  • Instance tenancy- Reserved and Spot instances
  • Pricing and Design Patterns
    • Load Balancing, Autoscaling, and DNS
  • Introduction to Elastic Load Balancer
  • Types of ELB – Classic, Network, and Application
  • Load balancer architecture
  • Cross-zone load balancing
  • Introduction to Auto Scaling, vertical and horizontal scaling
  • The lifecycle of Auto Scaling
  • Components of Auto Scaling, scaling options and policy, instance termination
  • Using load balancer with Auto Scaling
  • Routing policy, Route 53 terminologies, Pricing
    • Virtual Private Cloud
  • Amazon VPC
  • VPC as a networking layer for EC2
  • IP address and CIDR notations
  • Components of VPC – Network interfaces, route tables, internet gateway, NAT
  • Security in VPC
  • Security groups and NACL, types of VPC
  • VPC peering with scenarios, VPC endpoints, VPC pricing, and Design patterns
    • Storage - Simple Storage Service (S3)
  • Introduction to AWS storage
  • API, S3 consistency models
  • Storage hierarchy, buckets in S3
  • Objects in S3, metadata and storage classes
  • Object versioning, object lifecycle management, cross-region replication
  • Data encryption, connecting using VPC endpoint, S3 pricing
    • Databases and In-Memory DataStores
  • What is a database, types of databases, databases on AWS
  • Introduction to Amazon RDS
  • Multi-AZ deployments, features of RDS
  • Read replicas in RDS, reserved DB instances
  • RDS pricing and design patterns
  • Introduction to Amazon Aurora, Benefits of Aurora
  • Aurora pricing, and design patterns
  • Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing
    • Management and Application Services
  • Introduction to CloudFormation
  • CloudFormation components
  • CloudFormation templates
  • The concept of Infrastructure-as-a-code
  • Functions and pseudo parameters
  • Introduction to Simple Notification Service, how does SNS work
  • Introduction to Simple Email Service, how does SES work
  • Introduction to Simple Queue Service, how does SQS work
    • Access Management and Monitoring Services
  • Amazon Resource Name (ARN), IAM features
  • Multi-factor Authentication (MFA) in IAM, JSON
  • IAM policies, IAM permissions, IAM roles, identity federation, pricing
  • Introduction to CloudWatch, metrics and namespaces, CloudWatch architecture
  • Dashboards in CW, CloudWatch alarms, CloudWatch logs, pricing, and design patterns
  • Introduction to CloudTrail, tracking API usage
    • Automation and Configuration Management
  • What is AWS Lambda?
  • How is Lambda different from EC2?
  • Benefits and limitations of Lambda
  • How does Lambda work?
  • Use cases of Lambda, Lambda concepts
  • Integrating S3 with Lambda
  • Elastic Beanstalk, Beanstalk concepts, Beanstalk pricing
  • Configuration Management
  • AWS OpsWorks, AWS OpsWorks benefits
  • CloudFormation vs OpsWorks, Services in OpsWorks
  • AWS OpsWorks Stacks, OpsWorks pricing
    • AWS Migration
  • Cloud migration
  • Migration process in AWS, the 6 R’s migration strategy
  • Virtual machine migration, migrating a local VM onto the AWS cloud
  • Migrating databases using Database Migration Service (DMS)
  • Migrating a local database to RDS
  • Migrating an on-premises database server to RDS using DMS

    • Curriculum in AWS

    AWS is preferred by more than 35% of developers. The most well-liked and in-demand programming language in the tech industry is AWS.

    • Cloud Computing
    • Cloud Service and Deployment Models
    • How AWS is the leader in the cloud domain?
    • Various cloud computing products offered by AWS
    • Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
    • AWS architecture
    • The AWS Management Console, virtualization in AWS (Xen hypervisor)
    • Auto-scaling
    • AWS EC2 best practices and costs involved
    • Introduction to EC2
    • Regions and Availability Zones(AZs)
    • Pre-EC2, EC2 instance types
    • Comparing Public IP and Elastic IP
    • Demonstrating how to launch an AWS EC2 instance
    • Introduction to AMIs, Creating and Copying an AMI
    • Introduction to EBS
    • EBS volume types
    • EBS Snapshots
    • Introduction to EFS
    • Instance tenancy- Reserved and Spot instances
    • Pricing and Design Patterns
    • Introduction to Elastic Load Balancer
    • Types of ELB – Classic, Network, and Application
    • Load balancer architecture
    • Cross-zone load balancing
    • Introduction to Auto Scaling, vertical and horizontal scaling
    • The lifecycle of Auto Scaling
    • Components of Auto Scaling, scaling options and policy, instance termination
    • Using load balancer with Auto Scaling
    • Routing policy, Route 53 terminologies, Pricing
    • Amazon VPC
    • VPC as a networking layer for EC2
    • IP address and CIDR notations
    • Components of VPC – Network interfaces, route tables, internet gateway, NAT
    • Security in VPC
    • Security groups and NACL, types of VPC
    • VPC peering with scenarios, VPC endpoints, VPC pricing, and Design patterns
    • Introduction to AWS storage
    • API, S3 consistency models
    • Storage hierarchy, buckets in S3
    • Objects in S3, metadata and storage classes
    • Object versioning, object lifecycle management, cross-region replication
    • Data encryption, connecting using VPC endpoint, S3 pricing
    • What is a database, types of databases, databases on AWS
    • Introduction to Amazon RDS
    • Multi-AZ deployments, features of RDS
    • Read replicas in RDS, reserved DB instances
    • RDS pricing and design patterns
    • Introduction to Amazon Aurora, Benefits of Aurora
    • Aurora pricing, and design patterns
    • Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing
    • Introduction to CloudFormation
    • CloudFormation components
    • CloudFormation templates
    • The concept of Infrastructure-as-a-code
    • Functions and pseudo parameters
    • Introduction to Simple Notification Service, how does SNS work
    • Introduction to Simple Email Service, how does SES work
    • Introduction to Simple Queue Service, how does SQS work
    • Amazon Resource Name (ARN), IAM features
    • Multi-factor Authentication (MFA) in IAM, JSON
    • IAM policies, IAM permissions, IAM roles, identity federation, pricing
    • Introduction to CloudWatch, metrics and namespaces, CloudWatch architecture
    • Dashboards in CW, CloudWatch alarms, CloudWatch logs, pricing, and design patterns
    • Introduction to CloudTrail, tracking API usage
    • What is AWS Lambda?
    • How is Lambda different from EC2?
    • Benefits and limitations of Lambda
    • How does Lambda work?
    • Use cases of Lambda, Lambda concepts
    • Integrating S3 with Lambda
    • Elastic Beanstalk, Beanstalk concepts, Beanstalk pricing
    • Configuration Management
    • AWS OpsWorks, AWS OpsWorks benefits
    • CloudFormation vs OpsWorks, Services in OpsWorks
    • AWS OpsWorks Stacks, OpsWorks pricing
    • Cloud migration
    • Migration process in AWS, the 6 R’s migration strategy
    • Virtual machine migration, migrating a local VM onto the AWS cloud
    • Migrating databases using Database Migration Service (DMS)
    • Migrating a local database to RDS
    • Migrating an on-premises database server to RDS using DMS

    AWS Training Projects

    With Useful and Interesting Projects, Sharpen Your AWS Skills.

     

    Cloud-Based Chat Application

    Build a real-time chat application using AWS AppSync and DynamoDB. Explore serverless GraphQL and NoSQL database concepts.

     

    Serverless Contact Form

    Implement a serverless contact form using AWS Lambda, API Gateway, and Amazon SES. Learn to handle form submissions without managing servers.

     

    Image Recognition with Rekognition

    Use Amazon Rekognition to build a simple image recognition application. Understand how to analyze and tag images using AI.

     

    AWS WAF for Web Application Security

    Implement AWS WAF (Web Application Firewall) to protect a web application from common web exploits. Configure rules and monitor security events.

     

    Serverless IoT Dashboard

    Connect IoT devices to AWS IoT Core and build a serverless dashboard using AWS AppSync. Visualize real-time data from connected devices.

     

    Serverless Image Recognition API

    Build a serverless API for image recognition using Amazon Rekognition. Allow users to submit images for analysis and retrieve results.

     

    Multi-Cloud Disaster Recovery Solution

    Design and implement a multi-cloud disaster recovery solution using AWS services like CloudEndure and AWS Backup for cross-region and cross-account resilience.

     

    AWS Lambda Extensions and Custom Runtimes

    Explore AWS Lambda Extensions and create custom runtimes to extend the capabilities of Lambda functions. Implement monitoring, logging, and security enhancements.

     

    Multi-Cloud Disaster Recovery Solution

    Design and implement a multi-cloud disaster recovery solution using AWS services like CloudEndure and AWS Backup for cross-region and cross-account resilience.

    Best Industry Tools Covered

    Key Highlights

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

    Our Instructor

    Learn from experts who are licensed and are currently employed.

    Instructor
    Vinay

    Experience : 4 Years

    Vinay is an expert in serverless computing, guiding learners through the development of serverless applications on AWS.

    Specialized in : AWS Lambda Functions, Serverless Architecture, Step Functions, EventBridge, and SAM.

    Instructor
    Sujata

    Experience : 5 Years

    Sujata helps learners navigate the financial aspects of AWS, optimizing costs and implementing best practices for budgeting.

    Specialized in : AWS Cost Management, Budgets, Trusted Advisor, Savings Plans, and Pricing Models.

    Instructor
    Deepak

    Experience : 3 Years

    Deepak focuses on connecting devices and building scalable IoT solutions on the AWS platform, providing practical insights into IoT services.

    Specialized on : AWS IoT, IoT Core, Greengrass, Device Shadow, and IoT Analytics.

    Devops Training Overview

    Amazon Web Services (AWS) is a leading cloud computing platform that provides a comprehensive suite of scalable and reliable services, empowering businesses and individuals to innovate, deploy, and manage applications with unprecedented flexibility and efficiency. Launched by Amazon in 2006, AWS offers a vast array of services, including computing power, storage, databases, machine learning, analytics, and more, all accessible through a pay-as-you-go model. Its global infrastructure spans multiple regions and Availability Zones, ensuring low-latency access and high availability. AWS has played a pivotal role in reshaping the landscape of IT infrastructure, allowing organizations to focus on their core competencies while AWS takes care of the underlying complexities of managing and scaling resources in the cloud. With a rich ecosystem, robust security features, and a commitment to continuous innovation, AWS remains a frontrunner in the rapidly evolving realm of cloud computing.

    Additional Information

    What Kind of Programming Skills Will You Learn at the AWS Training?

    In AWS training, the programming skills you'll acquire depend on the specific course or certification you pursue. However, common programming skills covered in AWS training programs include:

    • AWS services often involve scripting to automate tasks and deployments. You might learn languages like Python, Ruby, or PowerShell to interact with AWS resources through APIs and SDKs.
    • Learning IaC tools like AWS CloudFormation or Terraform is crucial. These tools allow you to define and provision AWS infrastructure using declarative code, promoting automation and reproducibility.
    • Understanding how to use AWS SDKs in various programming languages (such as Java, .NET, Node.js, etc.) is essential for developing applications that interact with AWS services.
    • Many AWS services expose APIs that enable communication between your applications and the AWS platform. Learning how to work with these APIs is fundamental for integrating AWS services into your projects.
    • If your training involves AWS Lambda or other serverless services, you'll learn to write functions and applications without managing the underlying infrastructure, often using languages like Python, Node.js, or Java.
    • AWS offers a variety of managed database services. Understanding how to interact with databases using programming languages is crucial. For example, you might learn to use SQL or NoSQL languages depending on the database service.

    What Does the Growth of AWS Look Like in the Coming Years?

    Completing an AWS course can unlock a multitude of career opportunities across various domains within the rapidly growing field of cloud computing. Some prominent career paths and opportunities include:

    • Design and implement scalable and secure cloud solutions, leveraging a deep understanding of AWS services.
    • Bridge the gap between development and operations, using AWS tools to automate processes and streamline the software development lifecycle.
    • Focus on the operational aspects of AWS, ensuring systems are running smoothly, managing configurations, and optimizing performance.
    • Develop applications that run on AWS, utilizing various programming languages and AWS services.
    • Work with big data solutions on AWS, managing, processing, and analyzing large datasets using services like Amazon Redshift and AWS Glue.
    • Utilize AWS's machine learning services to develop and deploy machine learning models, leveraging tools like Amazon SageMaker.

    Future Prospects and Techniques in AWS

    The future prospects of AWS are highly promising, as the cloud computing landscape continues to evolve and businesses seek innovative solutions to meet their technological demands. Here are some key aspects and techniques expected to shape the future of AWS:

    • With the rise of Internet of Things (IoT) devices and the need for low-latency processing, AWS is likely to further invest in edge computing solutions. Services like AWS Wavelength and AWS Outposts bring cloud capabilities closer to the edge, enabling faster data processing for time-sensitive applications.
    • AWS has been at the forefront of providing machine learning (ML) and artificial intelligence (AI) services. The integration of advanced ML models into various AWS services is expected to continue, making it easier for developers to incorporate AI capabilities into their applications.
    • Serverless computing, exemplified by AWS Lambda, is gaining traction for its efficiency and cost-effectiveness. This trend is likely to continue, with more services adopting serverless principles, allowing developers to focus on code without managing underlying infrastructure.
    • The importance of hybrid cloud solutions, seamlessly integrating on-premises and cloud environments, is expected to grow. AWS's continued investment in services like AWS Outposts and AWS Hybrid Cloud will likely contribute to the expansion of hybrid cloud adoption.
    • As cybersecurity threats evolve, AWS is likely to enhance its security features. This includes improvements in identity management, encryption, and compliance tools to ensure the utmost security for customer data.
    • The field of quantum computing is advancing, and AWS is likely to explore ways to integrate quantum computing services into its cloud offerings. This could open new possibilities for solving complex problems and running quantum algorithms.

    Suitable Job Roles for AWS:

    AWS skills open the door to a wide range of job roles across various domains within the IT industry. Here are some suitable job roles for individuals with AWS expertise:

    • Design and implement scalable and secure cloud solutions, leveraging AWS services to meet business requirements.
    • Bridge the gap between development and operations, using AWS tools for automation, continuous integration, and continuous deployment.
    • Focus on the operational aspects of AWS, ensuring the smooth functioning, monitoring, and optimization of systems.
    • Develop applications that run on AWS, utilizing AWS SDKs and various programming languages.
    • Work with big data solutions on AWS, managing and analyzing large datasets using services like Amazon Redshift and AWS Glue.
    • Utilize AWS's machine learning services to develop and deploy machine learning models, leveraging tools like Amazon SageMaker.
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    AWS Training Objectives

    AWS supports a variety of programming languages, allowing developers to choose the one that best suits their preferences and project requirements. Some of the prominent languages used for AWS development include Python, Java, JavaScript/Node.js, .NET (C#), Ruby, Go, PHP, Swift for iOS, and C++. AWS provides official Software Development Kits (SDKs) for these languages, such as Boto3 for Python, AWS SDK for Java, AWS SDK for JavaScript (Node.js), and others.

    The difficulty of AWS depends on your prior experience and familiarity with cloud concepts. AWS provides a vast array of services, and while it is designed to be user-friendly, mastering all aspects can be challenging. AWS offers a range of training and certification options to help individuals build the necessary skills.

    Yes, AWS jobs are often high paying. The demand for cloud professionals with AWS skills is continually growing, and individuals with AWS certifications tend to command competitive salaries due to the value they bring to organizations.

  • IT professionals seeking to build or enhance their cloud skills.
  • Developers interested in deploying applications on AWS.
  • System administrators and network engineers.
  • Solutions architects designing cloud solutions.
  • Individuals aiming for AWS certifications.
  • Core AWS services (e.g., EC2, S3, RDS, VPC).
  • Architecting scalable and secure solutions on AWS.
  • Best practices for cost optimization and performance.
  • Security, identity management, and compliance in AWS.
  • IT professionals.
  • Developers.
  • System administrators.
  • Solutions architects.
  • Individuals preparing for AWS certifications.
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    Industry Statistics

    Jobs / Month

    248

    Avg. Salary

    ₹ 12,55,200

    Job Roles

    Release Manager

    SR Engineer

    Cloud Engineer

    DevOps Engineer

    AWS Certification

    Certificate
    GET A SAMPLE CERTIFICATE

    While obtaining an AWS certification is a valuable credential and can enhance your employability, it doesn't guarantee employment on its own. Employers typically consider a combination of education, certifications, skills, and experience when making hiring decisions. However, AWS certifications are highly regarded in the industry and can significantly boost your chances of securing roles related to cloud computing and AWS services.

    Absolutely! Pursuing multiple AWS certifications is a great way to broaden your skill set and demonstrate expertise in various AWS services and roles. AWS offers a diverse range of certifications, allowing you to specialize in areas that align with your career goals.

  • Foundational: AWS Certified Cloud Practitioner
  • Associate-level: Solutions Architect, Developer, SysOps Administrator
  • Professional-level: Solutions Architect, DevOps Engineer
  • Specialty certifications: Security, Machine Learning, Big Data, and more.
  • Validation of Skills
  • Industry Recognition
  • Career Advancement
  • Competitive Edge
  • Skill Validation

    • The AWS Certified Cloud Practitioner is a suitable certification for beginners. It covers foundational AWS services and cloud concepts, providing a broad understanding of the AWS Cloud.

  • Cloud Architect
  • DevOps Engineer
  • SysOps Administrator
  • Cloud Developer
  • Solutions Architect
  • Security Engineer
  • Machine Learning Engineer

    • Yes, AWS offers the option to take certification exams online. You can take the exams remotely from the comfort of your home or office, providing flexibility in scheduling.

    Yes, you can pursue multiple AWS course certifications to build a well-rounded skill set and demonstrate expertise in different AWS services and roles. This can enhance your versatility and make you more valuable to organizations seeking diverse AWS skills.

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    The Preferred Partner for 100+ Organizations' Hiring

    Learn from the certified and real time working professionals.

    • Over 100 firms that are looking for top talent for their open positions have come to rely on ACTE as their go-to partner.

    • Businesses have confidence in our ability to match them with the best individuals because of our considerable expertise and proven track record of success.

    • In this section, we'll examine the primary elements influencing this trust and examine how our constant commitment to excellence regularly results in remarkable results for our clients.

    Corporate Clients

    AWS Course Duration and Fees

    Level Course Duration Fees Structure
    Basic 1 - 1.5 Months ₹7,000 - ₹9,000
    Advanced 1.5 - 2 Months ₹7,000 - ₹10,000

    Job Opportunities in AWS

    More than 55% of devs favor AWS. AWS is the most popular and in-demand programming language in the IT sector.

    Salary In AWS
    Reach Our Placement Officer

    You can Work as a

    Security EngineerCloud ConsultantAWS Partner ManagerMachine Learning EngineerJava backend developerNetworking SpecialistBig Data Engineer

    Upcoming In-Demand Jobs

    AI/ML Ops EngineerAWS Data Analytics SpecialistAWS Cloud Security SpecialistCloud FinOps SpecialistAWS DevOps Manager

    Student Testimonials

    Dineshwaran Fresher

    Cloud Solutions Architect | Chennai

     Got 7 LPA Package

    More Details : I enrolled in the Cloud Solutions Architect program at Acte Training Institute, and it has been an incredible journey.The experienced instructors provided valuable insights, guiding me toward success. Today, I confidently work as a Cloud Solutions Architect, thanks to Acte!

    Barani Fresher

    Cloud Developer | Bangalore

     Got 10 LPA Package

    More Details : Acte Training Institute played a pivotal role in my transition from a fresher to a Cloud Developer. The supportive community and mentorship made the entire journey enjoyable. Now, as a Cloud Developer, I appreciate the solid foundation Acte provided.

    Charlie Fresher

    DevOps Engineer | Hyderabad

     Got 8 LPA Package

    More Details : The DevOps Engineer program at Acte Training Institute exceeded my expectations. The hands-on labs and emphasis on collaboration prepared me for the dynamic world of DevOps.Acte's training has been a game-changer for my career, and I'm now thriving as a DevOps Engineer.

    100% Placement

    7000+ Placed Student

    600+ Hiring Partners

    5.5 LPA Average Salary

    Recently Placed Students

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    AWS Training FAQ's

    Improve Your Coding Skills with AWS Training for All Levels!

    Amazon Web Services (AWS) is a comprehensive and widely adopted cloud computing platform provided by Amazon. It offers a vast array of scalable and reliable cloud services, including computing power, storage, databases, machine learning, analytics, and more. AWS allows businesses and individuals to build and deploy applications and services in a flexible, cost-effective, and secure manner without the need for significant upfront investments in hardware.

    AWS provides a service called Amazon CloudWatch for monitoring resources. CloudWatch allows you to collect and track metrics, collect and monitor log files, and set alarms. It provides insights into the operational health of your resources and applications, enabling you to respond to issues and optimize performance.

    AWS CloudFormation is an Infrastructure as Code (IaC) service that enables you to define and provision AWS infrastructure in a safe and predictable manner. You can use CloudFormation templates (JSON or YAML files) to describe the resources and dependencies needed for your applications. By using CloudFormation, you can create, update, and delete a collection of resources as a single stack, making it easier to manage and replicate infrastructure.

    AWS has a shared responsibility model for security and compliance. AWS is responsible for the security OF the cloud (hardware, software, networking, and facilities), while customers are responsible for security IN the cloud (data, identity, applications, and access management). AWS complies with various industry standards and certifications, and they provide tools and features to help customers meet their compliance requirements.

    AWS Direct Connect is a network service that provides dedicated network connections from your on-premises data centers to AWS. It enables you to establish private, low-latency connections to AWS, bypassing the public internet. This is particularly useful for organizations with high bandwidth and low-latency requirements, providing a more consistent and reliable connection to AWS resources.

    Yes, AWS offers a comprehensive set of machine learning services. Amazon SageMaker is a fully managed service that allows you to quickly build, train, and deploy machine learning models at scale. Additionally, AWS provides services like Amazon Comprehend for natural language processing, Amazon Rekognition for image and video analysis, and Amazon Polly for text-to-speech capabilities, making it easy to integrate machine learning into your applications on the AWS platform.

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    To sign up for an AWS account, you can go to the AWS website and click on the "Sign Up" button. Follow the on-screen instructions to provide the necessary information and set up your account.

    AWS Management Console is compatible with popular web browsers like Google Chrome, Mozilla Firefox, Microsoft Edge, Safari, and others. Make sure your browser is up to date for the best experience.

    If you need to reset your AWS Management Console password, you can do so by clicking on the "Forgot password" link on the login page. Follow the instructions sent to your email to reset your password.

    Yes, you can access AWS services on a mobile device through the AWS Management Console mobile app, available for both iOS and Android. It provides a streamlined experience for managing your AWS resources on the go.

    The AWS Free Tier allows you to explore and try out AWS services for free within certain usage limits. To sign up, go to the AWS Free Tier webpage and follow the instructions to create your AWS account.

    To create and manage IAM users, log in to the AWS Management Console, navigate to the IAM dashboard, and follow the steps to add users. You can assign permissions and manage user access to AWS resources through IAM.

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    To sign up for an AWS corporate account, you can visit the AWS website and follow the registration process. It typically involves providing some basic information about your company and selecting a payment method.

    AWS offers numerous benefits for corporate IT infrastructure, including scalability, cost-effectiveness, flexibility, and a wide range of services. It allows you to pay for only the resources you use, easily scale your infrastructure up or down, and leverage a global network of data centers.

    Yes, AWS provides a variety of plans and services that can be customized to fit the specific needs of your corporate environment. You can choose from a wide array of compute, storage, database, and other services to build a tailored infrastructure.

    AWS takes data security and compliance seriously. They provide a shared responsibility model where AWS manages the security of the cloud infrastructure, and customers are responsible for securing their data within the cloud. AWS also offers a range of compliance certifications, and you can implement additional security measures based on your specific requirements.

    AWS offers various pricing models, including pay-as-you-go, reserved instances, and spot instances. For large-scale corporate usage, you can work with AWS to negotiate custom pricing based on your specific needs and usage patterns.

    Yes, AWS provides tools and services to support the migration of existing corporate applications to the cloud. The AWS Migration Hub, Server Migration Service, and Database Migration Service are some of the tools that can help streamline the migration process. AWS also offers a wealth of documentation and support to assist with the transition.

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