Cloud Computing with AWS Training

RexGalaxy Academy's Cloud Computing with AWS Training is a practical, career-focused program designed for learners who want to understand modern cloud infrastructure and build real-world AWS deployment skills. The course starts from cloud fundamentals and gradually moves into AWS services, security, networking, compute, storage, databases, monitoring, serverless, automation and cloud project delivery.

This training is suitable for students, working professionals, beginners in IT infrastructure, developers, system administrators, networking learners and anyone who wants to enter cloud computing roles. Students learn how cloud platforms are used by companies to host applications, store data, manage infrastructure, improve scalability, reduce operational effort and build secure digital systems.

The program focuses on hands-on AWS practice instead of only theory. Learners work with AWS console workflows, IAM permissions, EC2 servers, S3 storage, VPC networking, databases, load balancers, auto scaling, monitoring tools, Lambda basics, deployment planning and cost-aware cloud architecture. Each topic is explained from a practical business and technical point of view so students understand not only which service to use, but why and when to use it.

Students should be able to:

• Understand cloud computing concepts, AWS global infrastructure and common cloud service models.

• Create and manage secure AWS users, permissions, roles and access policies using IAM.

• Launch, configure and manage EC2 instances, storage, security groups and cloud networking.

• Work with S3, EBS, RDS, VPC, Route 53, ELB, Auto Scaling, CloudWatch and Lambda fundamentals.

• Design basic AWS architectures for web applications, databases, storage, monitoring and security.

• Build project-ready cloud deployments with documentation, diagrams, cost awareness and interview-ready explanations.

Begin with the foundation of cloud computing and understand how AWS supports modern IT infrastructure.

• Understand what cloud computing is and why organizations use cloud platforms for scalability, flexibility and cost control.

• Learn the difference between traditional infrastructure, virtualization, private cloud, public cloud and hybrid cloud models.

• Understand cloud service models including IaaS, PaaS, SaaS and serverless computing.

• Explore AWS global infrastructure including regions, availability zones, edge locations and data center concepts.

• Learn basic AWS service categories such as compute, storage, database, networking, security, monitoring and analytics.

• Understand cloud benefits such as pay-as-you-go pricing, high availability, disaster recovery and faster deployment.

• Learn important cloud terms such as elasticity, scalability, fault tolerance, latency, redundancy and shared responsibility.

• Understand common AWS use cases including web hosting, backup, databases, DevOps, application deployment and data storage.

• Practice reading AWS architecture diagrams and identifying the purpose of each cloud component.

• Outcome: build a strong conceptual foundation before working with AWS services hands-on.

Create a secure AWS account foundation and learn identity, access and permission management.

• Understand AWS account structure, root user responsibilities and why daily work should not be done from the root account.

• Learn IAM concepts including users, groups, roles, policies, permissions and least privilege access.

• Create IAM users and assign permissions using managed policies and custom policy awareness.

• Understand authentication, MFA, access keys, password policies and secure login practices.

• Learn how IAM roles are used by AWS services to access other services securely.

• Understand AWS shared responsibility model and what AWS secures versus what the customer must secure.

• Practice creating admin users, read-only users and service-specific access examples.

• Learn basic security mistakes such as public credentials, open permissions and unnecessary administrator access.

• Use AWS billing alerts, budget setup and account safety practices to avoid accidental high usage.

• Outcome: manage AWS access securely and understand the security foundation needed for cloud work.

Learn AWS compute services and manage virtual servers using Amazon EC2.

• Understand what EC2 is and how cloud virtual machines are used for hosting applications and services.

• Launch EC2 instances with proper AMI, instance type, key pair, storage and network configuration.

• Connect to Linux and Windows instances using SSH, RDP or browser-based connection methods.

• Understand security groups, inbound rules, outbound rules and safe access configuration.

• Learn EBS volume basics, root volumes, additional storage, snapshots and instance storage awareness.

• Install basic web servers, deploy sample applications and test public access through browser requests.

• Understand instance lifecycle actions such as start, stop, reboot, terminate and monitoring state changes.

• Learn Elastic IP basics, public IP behavior and when a fixed IP is required.

• Practice troubleshooting common EC2 issues such as wrong ports, key errors, stopped instances and security group mistakes.

• Outcome: confidently launch, configure, secure and troubleshoot AWS virtual servers.

Work with AWS storage services for object storage, block storage, backup and data hosting needs.

• Understand the difference between object storage, block storage and file storage in cloud environments.

• Learn Amazon S3 fundamentals including buckets, objects, folders, storage classes and access control.

• Upload, download, organize and manage files in S3 using practical examples.

• Understand bucket policies, object permissions, public access block settings and secure storage practices.

• Learn S3 versioning, lifecycle rules, replication awareness and static website hosting basics.

• Understand EBS volumes, snapshots, resizing, attaching volumes and storage persistence with EC2.

• Learn when to use S3 versus EBS for application data, backups, logs, images and documents.

• Understand backup planning, retention, recovery and cost considerations for storage services.

• Practice creating a storage-backed mini project such as file hosting, backup storage or static content delivery.

• Outcome: choose and configure AWS storage services for common real-world cloud use cases.

Build cloud networking knowledge using VPC, subnets, routes, gateways and network security.

• Understand what a VPC is and why isolated cloud networking is important for secure architecture.

• Learn CIDR blocks, private IP ranges, public subnets, private subnets and IP planning basics.

• Create and understand VPC components including subnets, route tables, internet gateway and NAT gateway awareness.

• Configure public and private subnets for common web application architecture.

• Understand security groups versus network ACLs and how traffic filtering works at different layers.

• Learn route table associations, default routes, local routes and internet access configuration.

• Understand how EC2 instances communicate inside a VPC and how public access is controlled.

• Practice building a simple VPC with public EC2 access and private resource isolation concepts.

• Troubleshoot networking issues such as missing routes, closed ports, wrong subnet placement and public IP problems.

• Outcome: design and configure basic AWS networking for secure cloud deployments.

Design scalable and available cloud applications using load balancing and auto scaling concepts.

• Understand high availability, fault tolerance, horizontal scaling and why single-server deployment is risky.

• Learn Elastic Load Balancer concepts and how traffic is distributed across multiple application servers.

• Configure target groups, health checks, listeners and basic application load balancing workflows.

• Understand Auto Scaling Groups and how AWS can add or remove instances based on demand.

• Learn launch templates, scaling policies, desired capacity, minimum capacity and maximum capacity.

• Practice deploying multiple EC2 instances behind a load balancer for a simple web application scenario.

• Understand health check failures, unhealthy targets and common load balancer troubleshooting steps.

• Learn multi-availability-zone deployment concepts for better uptime and resilience.

• Understand cost and performance considerations while designing scalable infrastructure.

• Outcome: build a stronger cloud architecture that can handle traffic growth and server failures.

Learn AWS database services and understand how cloud databases support applications and analytics.

• Understand database options in AWS including managed relational databases, NoSQL databases and caching awareness.

• Learn Amazon RDS basics for MySQL, PostgreSQL or other relational database engines.

• Create an RDS instance with database name, user credentials, storage, networking and security configuration.

• Connect applications or clients to RDS using endpoint, port, username, password and security group rules.

• Understand backups, snapshots, multi-AZ awareness, read replicas and database maintenance concepts.

• Learn DynamoDB fundamentals including tables, items, keys, attributes and NoSQL use cases.

• Understand when to choose RDS versus DynamoDB based on structure, scalability and application needs.

• Learn basic database security practices including private subnets, restricted access and credential protection.

• Practice database-backed architecture examples for web applications and internal tools.

• Outcome: understand AWS database choices and configure basic managed database services.

Understand DNS, domain routing, CDN and application delivery services for cloud-hosted applications.

• Learn Route 53 basics including hosted zones, DNS records, domain mapping and routing concepts.

• Understand common DNS record types such as A, CNAME, MX and alias records.

• Connect a domain or subdomain to cloud resources such as EC2, load balancers or static hosting services.

• Learn CloudFront basics as a content delivery network for faster delivery and caching.

• Understand edge locations, caching behavior, origin configuration and performance benefits.

• Learn SSL/TLS certificate awareness and why HTTPS is important for production applications.

• Understand how DNS, CDN, load balancer and application servers work together in a complete architecture.

• Practice planning a domain-to-application flow using AWS services.

• Troubleshoot common delivery issues such as DNS propagation, wrong records, cache delay and origin errors.

• Outcome: understand how AWS helps deliver applications globally with better speed and reliability.

Monitor AWS resources, manage logs, plan backups and control cloud spending responsibly.

• Learn CloudWatch basics including metrics, alarms, dashboards, logs and monitoring resource health.

• Monitor EC2 CPU, network, disk awareness, load balancer metrics and application-level signals.

• Create alarms for important conditions such as high CPU, failed health checks or unusual usage.

• Understand CloudTrail basics for account activity tracking, audit history and security visibility.

• Learn backup strategies using snapshots, automated backups, retention planning and recovery awareness.

• Understand AWS pricing basics including on-demand usage, storage charges, data transfer and managed service costs.

• Create budgets, billing alerts and cost monitoring habits to avoid unexpected charges.

• Learn cost optimization concepts such as right sizing, stopping unused instances, storage class selection and cleanup.

• Practice reviewing resources and identifying unnecessary running services.

• Outcome: operate AWS environments with monitoring, backup discipline and cost awareness.

Explore serverless computing and learn how AWS Lambda supports event-driven cloud applications.

• Understand serverless computing and how it differs from managing traditional servers.

• Learn AWS Lambda concepts including functions, runtime, triggers, events, timeout and execution role.

• Create basic Lambda functions and test them with sample event data.

• Understand how Lambda can connect with services such as API Gateway, S3, CloudWatch and DynamoDB.

• Learn IAM role requirements for Lambda and how permissions control access to other AWS services.

• Understand serverless use cases such as automation, file processing, scheduled tasks and lightweight APIs.

• Learn basic API Gateway awareness for exposing serverless functions through HTTP endpoints.

• Monitor Lambda execution logs using CloudWatch and troubleshoot errors from logs.

• Discuss limits, cold starts, pricing model and when serverless is suitable or unsuitable.

• Outcome: understand serverless fundamentals and build small AWS Lambda-based workflows.

Connect AWS cloud skills with DevOps basics, deployment workflows and infrastructure automation awareness.

• Understand how cloud computing and DevOps work together for faster application delivery.

• Learn basic deployment workflow from local code to cloud server, testing and production readiness.

• Understand Git, GitHub, CI/CD awareness and why automation is important in cloud projects.

• Learn AWS Code services awareness such as CodeCommit, CodeBuild, CodeDeploy and CodePipeline concepts.

• Understand infrastructure as code awareness using tools such as CloudFormation or Terraform at a broad level.

• Practice deploying a sample web application on EC2 with security group, domain and monitoring considerations.

• Learn environment planning for development, staging and production.

• Understand secrets management awareness, environment variables and safe configuration handling.

• Use architecture diagrams, README documentation and deployment checklists for project presentation.

• Outcome: understand practical AWS deployment flow and how cloud supports DevOps-style delivery.

Complete real-world AWS projects and prepare for cloud interviews, portfolio work and career growth.

• Build an end-to-end cloud project with VPC, EC2, security group, S3 storage, database awareness and monitoring.

• Create a scalable web hosting architecture using load balancer, auto scaling and multi-AZ concepts.

• Design a storage and backup solution using S3, lifecycle policies, snapshots and cost planning.

• Prepare cloud architecture diagrams showing users, DNS, CDN, load balancer, application servers, database and monitoring.

• Document projects with problem statement, services used, architecture, screenshots, steps, troubleshooting and cost notes.

• Practice explaining AWS services in interview-friendly language with real examples.

• Review common AWS interview topics such as IAM, EC2, S3, VPC, RDS, Lambda, CloudWatch and scaling.

• Learn resume project points for cloud computing, deployment, security, monitoring and architecture planning.

• Prepare a final portfolio with cloud project documentation, diagrams and practical deployment evidence.

• Outcome: become ready to present AWS cloud skills confidently for internships, jobs and freelance projects.