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Start your digital journey with AWS Cloud Computing engineer with Croma Campus. Learn cloud computing courses in AWS like Cloud Architect, get sample questions, and many more

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  • The use of cloud technology has revolutionized the way businesses create and operate applications. Nowadays, virtually every enterprise utilizes cloud services for storing data, operating applications, securing information, and minimizing their IT expenses. That is why AWS Course has become one of the most reliable cloud platforms globally. And, if you wish to start your career in cloud technology, this AWS Cloud Computing Course is exactly what you need.
  • The AWS Cloud Computing Training is aimed at both novices and working professionals. It offers you all the necessary information regarding cloud computing and AWS Course Online starting from basic concepts to complex AWS services in a simple manner. The training is based on real-life business scenarios so that you can see how AWS works in enterprises.
  • In this Cloud Computing AWS Course, you get exposure to popular AWS offerings including Amazon EC2, S3, IAM, VPC, RDS, Lambda, CloudFront, Route 53, CloudWatch, ECS, EKS, DynamoDB and much more. You get knowledge of cloud networking, storage, security, monitoring, automation, and serverless computing along with practical training.
  • This course comprises live projects, hands-on labs, assignments, and case studies. Apart from theoretical knowledge, you will develop practical cloud skills by working on live cloud projects and developing cloud infrastructure and applications like real professionals do in the industry.
  • What You Get
    • Live Instructor-Led Classes

      Hands-On Projects & Practice Labs

      Certification & Interview Preparation

      Career Guidance & Job Referrals

AWS Cloud Computing Course Online

About-Us-Course

  • AWS Cloud Computing is a cloud computing service created by Amazon that enables people to utilize computing resources via the Internet without purchasing any physical servers. Organizations can easily develop applications, store information, maintain databases, construct networks, and enhance security through AWS solutions.
  • The most significant benefit of AWS is that it charges for only the services utilized. It enables organizations to save on infrastructure costs and scale their resources whenever needed.
  • Some important cloud service models include:
    • AWS: The cloud computing platform from Amazon that provides a large number of cloud services.

      Cloud Computing: Access to servers, storage, network, and software over the internet.

      IaaS: Infrastructure as a Service in which infrastructure including VMs, storage, and network is rented by customers.

      PaaS: Platform as a Service in which platforms are used to develop and deploy applications without worrying about the servers.

      SaaS: Software as a Service in which software is accessed through the internet.

      Global Infrastructure: AWS has data centers in many countries.

      Availability Zones: Different data centers within a region.

      Regions: Places where data centers of AWS are situated.

      Edge Locations: Global locations providing fast content delivery using CloudFront.

  • An AWS Cloud Computing Training will help you learn these concepts through practical application so that you can comfortably work on cloud projects.

  • There has been an enormous rise in popularity in cloud computing these days. The small companies, startups, and big firms are moving their applications to the cloud due to its speed, security, and scalability.
  • Some advantages of learning AWS in 2026 are as follows:
    • Cloud Adoption Statistics: There has been an increase in cloud adoption every year.

      AI + Cloud Adoption: The Artificial Intelligence applications require strong cloud platforms such as AWS.

      Multi Cloud Strategy: Several organizations adopt AWS along with other cloud platforms, leading to an increased demand for cloud experts.

      Generative AI on AWS: AWS has modernized its services in order to develop Generative AI applications.

      Job Market Growth in AWS: Jobs related to the cloud have grown tremendously within IT companies, startups, and even large corporations.

      Pay Scale: Cloud professionals have a decent pay scale due to their skills and experience level.

      Flexible Jobs: Many cloud jobs offer remote options to cloud professionals.

  • One way through which learners gain cloud computing skills to meet current industry standards is through AWS Cloud Computing Training.

  • Amazon Web Services is one of the popular cloud service providers since it provides various cloud services, security, wide coverage and high performance. Reliability of Amazon Web Services is valued by start-ups, multinationals, government organizations and big firms.
  • Some of the key reasons for which professionals prefer to use AWS are:
    • Large number of cloud services for varied business requirements.

      Good security and identity management capabilities.

      Excellent global reach with many regions.

      Ability to scale up easily for any kind of application.

      Payment according to resource usage.

      Support for AI, Machine Learning, Big Data, IoT, and DevOps.

      Regular upgrades with advanced cloud technologies.

      High demand for AWS-certified professionals.

      Community support for learning.

      Good for beginners as well as experienced cloud engineers.

  • A Cloud Computing AWS Course gives you the knowledge needed to work confidently on modern cloud platforms.

  • All that is required to get yourself ready for cloud computing in the job market is included in this AWS Cloud Computing Training.
  • During the AWS Cloud Computing Course, you will learn:
    • Cloud Computing Fundamentals

      AWS Global Infrastructure

      Amazon EC2

      Amazon S3

      Identity and Access Management (IAM)

      Amazon VPC

      Route 53

      Elastic Load Balancer

      Auto Scaling

      Amazon RDS

      DynamoDB

      AWS Lambda

      API Gateway

      CloudFront

      CloudWatch

      CloudTrail

      ECS and EKS

      Storage Services

      Networking

      Cloud Security

      Monitoring and Logging

      Infrastructure Automation

      Backup and Disaster Recovery

      Serverless Computing

      Cloud Migration

      AI Services on AWS

      Best Practices for Cloud Deployment

  • With this AWS Cloud Computing Training, you gain both theoretical knowledge and practical experience that prepares you for real industry projects.

  • Our AWS Cloud Computing Course is structured in such a way that students will be able to understand cloud computing gradually. From the very beginning of our course, students will start learning from basics until they reach advanced AWS services that businesses use.
  • Module 1: Cloud Computing Fundamentals
    • Introduction to Cloud Computing

      Cloud Service Models (IaaS, PaaS, SaaS)

      Public, Private & Hybrid Cloud

      Benefits of Cloud Computing

      AWS Global Infrastructure

  • Module 2: AWS Core Services
    • Amazon EC2

      Amazon S3

      Amazon EBS

      Elastic File System (EFS)

      Amazon Glacier

  • Module 3: Identity & Security
    • AWS IAM

      Users, Groups & Roles

      Multi-Factor Authentication

      Security Policies

      Best Security Practices

  • Module 4: Networking
    • Amazon VPC

      Subnets

      Internet Gateway

      NAT Gateway

      Route Tables

      Security Groups

      Network ACL

  • Module 5: Database Services
    • Amazon RDS

      Amazon DynamoDB

      Database Backup

      Database Scaling

  • Module 6: Load Balancing & Auto Scaling
    • Elastic Load Balancer

      Auto Scaling Groups

      High Availability

      Fault Tolerance

  • Module 7: Serverless Computing
    • AWS Lambda

      API Gateway

      Amazon EventBridge

      Step Functions

  • Module 8: Monitoring & Logging
    • Amazon CloudWatch

      AWS CloudTrail

      Cloud Monitoring

      Log Management

  • Module 9: Containers & DevOps
    • Amazon ECS

      Amazon EKS

      Docker Basics

      CI/CD Introduction

      Module 10: AI & Modern AWS Services

      Amazon Bedrock

      Amazon SageMaker Basics

      Amazon Q

      AI Applications on AWS

  • Module 11: Cloud Migration
    • Migration Planning

      Migration Tools

      Cost Optimization

      Disaster Recovery

      Module 12: Real-Time Projects & Certification

      Live Project

      Case Studies

      Mock Interviews

      AWS Certification Preparation

  • In the course on Cloud Computing AWS, you will have to work on some projects which will enhance your understanding of the applications of AWS in industry. Some projects that are assigned during this course are:
    • Website Hosting on AWS: Host a complete website using Amazon EC2, S3, and Route 53.

      Virtual Private Cloud Setup: Create a secure AWS network using VPC, Subnets, Security Groups, and Internet Gateway.

      Serverless Web Application: Build a serverless application using AWS Lambda and API Gateway.

      Cloud Storage Solution: Store, manage, and secure files using Amazon S3 with lifecycle policies.

      Auto Scaling Infrastructure: Configure Auto Scaling and Load Balancer to handle changing traffic automatically.

      Cloud Monitoring Project: Monitor AWS resources using CloudWatch and generate alerts for system performance.

      AWS Security Project: Manage users, roles, permissions, and security policies using IAM.

      Cloud Migration Project: Move an application from a local server to the AWS cloud environment.

  • During the AWS Cloud Computing Training, you will gain hands-on experience with industry-standard AWS services and cloud tools.
  • Some of the Important Tools Covered Are:
    • Amazon EC2

      Amazon S3

      Amazon IAM

      Amazon VPC

      Amazon RDS

      Amazon DynamoDB

      AWS Lambda

      Amazon CloudFront

      Route 53

      Elastic Load Balancer

      Auto Scaling

      Amazon CloudWatch

      AWS CloudTrail

      Amazon ECS

      Amazon EKS

      AWS CLI

      AWS CloudFormation

      Amazon Bedrock

      Amazon SageMaker

      Amazon Q

  • AWS keeps adding new services and improving existing ones. Our AWS Cloud Computing Course is updated with the latest industry trends so that students learn current technologies.
  • some of the Latest Aws Features Covered Include:
    • AI-powered cloud services

      Amazon Bedrock for Generative AI

      Amazon Q AI assistant

      Improved cloud security features

      Better serverless computing

      Faster cloud storage options

      Cost optimization tools

      Advanced monitoring and logging

      Modern container services

      Latest cloud networking improvements

  • The learning of AWS will open many career paths for you. The learning path of our AWS Cloud Computing Training program is designed in such a way that you can become an expert cloud professional.
    • Step 1: Learn cloud computing basics and AWS fundamentals.

      Step 2: Understand AWS core services like EC2, S3, IAM, and VPC.

      Step 3: Practice networking, databases, storage, and cloud security.

      Step 4: Build real-world AWS projects.

      Step 5: Prepare for AWS certification exams.

      Step 6: Attend mock interviews and improve your resume.

      Step 7: Apply for cloud jobs and continue learning advanced AWS technologies.

  • After completing the AWS Cloud Computing Course, you can apply for different cloud-related job roles depending on your skills and experience.
  • Some Popular Job Roles Include:
    • AWS Cloud Engineer

      Cloud Support Engineer

      Cloud Administrator

      AWS Solutions Architect

      DevOps Engineer

      Site Reliability Engineer (SRE)

      Cloud Infrastructure Engineer

      System Administrator

      Cloud Security Engineer

      Cloud Operations Engineer

      Cloud Consultant

      Technical Support Engineer

  • AWS professionals belong to the category of highly paid IT experts since cloud skills are required in virtually all industries. Wages are determined by your knowledge, certification, project experience, employer, and location.
    • Fresher: 4 LPA to 7 LPA

      1 to 3 Years: 7 LPA to 12 LPA

      3 to 5 Years: 12 LPA to 18 LPA

      5+ Years: 18 LPA to 35+ LPA

  • Professionals with AWS certifications, real project experience, and strong cloud skills often receive better salary packages and faster career growth.

  • In today's technology-driven world, acquiring AWS Cloud Online Training can pave the way for significant career growth opportunities in the field of AWS and cloud computing. Let's explore the potential career trajectory after completing such training.
    • Entry-Level Roles: With foundational knowledge gained from AWS Cloud Computing Training, individuals can start their careers in entry-level positions such as Cloud Support Associate, Junior Cloud Engineer, or Cloud Solutions Architect Associate. These roles typically involve assisting in the implementation, deployment, and maintenance of cloud solutions.

      Mid-Level Positions: As professionals accumulate experience and demonstrate proficiency in AWS Cloud Computing, they can progress to mid-level roles like Cloud Engineer, AWS Certified Developer Associate Training, or Cloud Solutions Architect. In these positions, individuals are responsible for designing, developing, and optimizing cloud infrastructure and applications to meet business objectives.

  • `
    • Leadership Roles: Experienced professionals with a proven track record in AWS Cloud Computing can advance to leadership positions such as Cloud Architect, Cloud Manager, or Director of Cloud Services. These roles involve strategic planning, decision-making, and overseeing the implementation of cloud solutions at an organizational level.

      Entrepreneurship: Armed with comprehensive knowledge and expertise in AWS and cloud computing, individuals may choose to venture into entrepreneurship by starting their cloud consulting firm or offering specialized cloud services to clients. Entrepreneurial endeavors in the cloud computing space present opportunities for innovation, growth, and impact.

      Continuous Learning: Career growth in AWS Cloud Computing is not static; it requires continuous learning and staying updated with the latest advancements in cloud technologies. Pursuing advanced certifications, attending industry conferences, and engaging in ongoing professional development activities are essential for sustained career progression in this dynamic field.

  • By acquiring AWS Cloud Online Training and continuously honing their skills, professionals can chart a rewarding career path filled with opportunities for growth, innovation, and success in the ever-evolving landscape of AWS Cloud Computing.

  • Selection of the correct training institute is essential for having a successful career in cloud computing. Our Cloud Computing AWS Course helps in providing you with practical knowledge, industry exposure, and career support altogether.
    • Experienced Trainers: Undergo training under certified AWS trainers who have industry experience.

      Live Projects: Undertake live cloud projects that align with actual business needs.

      Job Assistance: Avail placement support, interview scheduling, and career guidance.

      Mock Interviews: Improve yourself through technical and HR mock interviews.

      Resume Building: Create a professional resume that emphasizes your AWS skills and projects.

      Learning Management System (LMS): Use study material, assignments, notes, and recorded sessions at any time.

      Recorded Sessions: If you miss any class, watch recorded sessions at any time.

      Certification Assistance: Receive comprehensive assistance for AWS certification exam.

  • Cloud technology is evolving each year and AWS keeps developing new services in order to satisfy the needs of companies. Cloud solutions are becoming increasingly popular for AI, automation, security, and digital transformation purposes, which makes AWS specialists much in demand.
  • Some important industry trends include:
    • Growing adoption of Generative AI on AWS

      More companies moving applications to the cloud

      Increased use of serverless computing

      Rising demand for cloud security experts

      Growth in container technologies like ECS and EKS

      Higher adoption of DevOps with AWS

      Increased focus on cloud cost optimization

      More remote cloud engineering opportunities

      AI-powered cloud management tools

      Strong demand for certified AWS professionals

  • After completing the AWS Cloud Computing Training, students can explore opportunities in startups, IT service companies, product-based organizations, and multinational companies. Cloud professionals are hired across almost every industry because AWS skills are in high demand.
  • Some of the top companies hiring AWS professionals include:
    • Amazon

      Accenture

      TCS

      Infosys

      Wipro

      Capgemini

      Cognizant

      IBM

      Deloitte

      HCLTech

      Tech Mahindra

      LTIMindtree

      Oracle

      DXC Technology

      PwC

  • Our placement team helps students with resume preparation, interview practice, job referrals, and career guidance to improve their chances of getting placed in leading companies.

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FAQ's

AWS is Amazon Web Services, a leading cloud computing platform offering various services like computing power and storage on a pay-as-you-go basis.

An AWS cloud Architect designs scalable and secure cloud solutions using AWS services to meet business needs.

No, it is suitable for anyone interested, including IT professionals, developers, analysts, and managers.

While coding knowledge can be beneficial, the course typically covers concepts that don't require extensive coding.

High demand exists for roles like cloud engineer and solutions architect due to increasing cloud technology adoption.

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