CS105: Cloud Computing & AWS Masterclass 2026 – Complete Guide

Cloud computing has fundamentally transformed how organizations build, deploy, and scale technology infrastructure, shifting from capital-intensive on-premises data centers to flexible, pay-as-you-go cloud services. Amazon Web Services (AWS), the world’s most comprehensive and widely adopted cloud platform, powers millions of customers including startups, enterprises, and government agencies across 190 countries. This masterclass provides comprehensive training from cloud fundamentals through advanced AWS services, architectural patterns, and best practices that enable you to design, deploy, and manage scalable, secure, cost-effective cloud solutions. With cloud engineers earning median salaries of $125,000 according to Glassdoor and AWS skills among the most in-demand in technology, mastering cloud computing and AWS opens doors to rewarding careers in one of the fastest-growing technology domains.

The global cloud computing market exceeded $600 billion in 2025 and continues growing at over 18% annually according to Gartner, as organizations accelerate digital transformation and cloud migration. AWS holds approximately 32% market share, leading competitors Microsoft Azure (23%) and Google Cloud Platform (10%). Organizations choose AWS for its breadth of services (over 200 fully featured services), global infrastructure (33 geographic regions with 105 availability zones), proven reliability, security capabilities, and vibrant ecosystem. This course equips you with practical AWS skills—from core services like EC2, S3, and RDS through advanced topics including serverless computing, containers, machine learning, and DevOps—enabling you to architect solutions that leverage cloud computing’s full potential.

What is Cloud Computing?

Cloud computing delivers computing services—servers, storage, databases, networking, software, analytics, and intelligence—over the internet (“the cloud”) on a pay-as-you-go basis. Instead of owning and maintaining physical data centers and servers, organizations access technology services from cloud providers as needed. Cloud computing offers compelling advantages including reduced capital expenditure (no upfront hardware costs), elasticity (scale resources up or down based on demand), global reach (deploy applications worldwide in minutes), increased speed and agility (provision resources in minutes rather than weeks), and focus on innovation (spend time on applications rather than infrastructure management).

Cloud computing encompasses three primary service models. Infrastructure as a Service (IaaS) provides virtualized computing resources including servers, storage, and networking—AWS EC2 and S3 are IaaS offerings. Platform as a Service (PaaS) provides platforms for building and deploying applications without managing underlying infrastructure—AWS Elastic Beanstalk and Lambda represent PaaS. Software as a Service (SaaS) delivers complete applications over the internet—Salesforce, Microsoft 365, and Google Workspace are SaaS examples. Understanding these models helps you select appropriate services for different use cases. This course focuses primarily on IaaS and PaaS, teaching you to build solutions using AWS services.

AWS Global Infrastructure

AWS operates the world’s most extensive and reliable cloud infrastructure, consisting of Regions, Availability Zones, and Edge Locations. Regions are geographic areas containing multiple isolated data centers. Each Region is completely independent, enabling you to achieve geographic redundancy and comply with data residency requirements. As of 2026, AWS operates 33 Regions globally with plans for additional expansion. Availability Zones (AZs) are isolated data centers within Regions, each with independent power, cooling, and networking. Most Regions contain 3-6 AZs, enabling high availability by distributing applications across multiple AZs.

Edge Locations are endpoints for AWS CloudFront, the content delivery network (CDN) that caches content closer to users for reduced latency. AWS operates over 400 Edge Locations globally. Understanding AWS infrastructure is crucial for designing resilient, performant applications. Deploying across multiple AZs protects against data center failures. Deploying across multiple Regions provides geographic redundancy and enables serving users globally with low latency. This course teaches you to leverage AWS global infrastructure for building highly available, fault-tolerant applications that meet business requirements for reliability and performance.

AWS Account Setup and IAM

Creating an AWS account is straightforward, requiring an email address, credit card, and phone verification. AWS offers a Free Tier providing limited free usage of many services for 12 months, enabling learning and experimentation without significant cost. However, understanding AWS billing and cost management is crucial to avoid unexpected charges. This section covers setting up billing alerts, using AWS Cost Explorer to analyze spending, and implementing cost optimization strategies including rightsizing resources, using Reserved Instances for predictable workloads, and terminating unused resources.

AWS Identity and Access Management (IAM) controls access to AWS services and resources securely. IAM enables you to create users, groups, roles, and policies that define who can access which resources and what actions they can perform. Following the principle of least privilege—granting only necessary permissions—is fundamental to AWS security. This course covers IAM best practices including never using the root account for daily operations, enabling multi-factor authentication (MFA), creating individual IAM users for each person, using groups to assign permissions, and using roles for applications and services. Understanding IAM is essential for securing AWS environments and is a foundational topic for AWS certifications.

Real-World Example 1: E-commerce Platform Migration – A retail company migrated their e-commerce platform from on-premises infrastructure to AWS, reducing infrastructure costs by 40% while improving reliability and scalability. By deploying across multiple Availability Zones using Application Load Balancers and Auto Scaling, they achieved 99.99% uptime during peak shopping seasons. AWS’s global infrastructure enabled them to expand internationally by deploying in additional Regions, reducing latency for international customers by 60%. This demonstrates how cloud computing and AWS infrastructure enable business agility and cost optimization.

Amazon EC2: Elastic Compute Cloud

Amazon EC2 provides resizable compute capacity in the cloud—virtual servers that you can launch in minutes. EC2 offers over 500 instance types optimized for different use cases including general purpose, compute optimized, memory optimized, storage optimized, and accelerated computing with GPUs. Understanding instance families and selecting appropriate types for your workload is crucial for performance and cost optimization. This section covers launching EC2 instances, connecting via SSH, instance lifecycle management, and understanding EC2 pricing models including On-Demand, Reserved Instances, Savings Plans, and Spot Instances that can reduce costs by up to 90%.

EC2 Auto Scaling automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. You define scaling policies based on metrics like CPU utilization, network traffic, or custom metrics. Auto Scaling ensures you have the right number of instances to handle application load—scaling out during traffic spikes and scaling in during quiet periods. Elastic Load Balancing (ELB) distributes incoming traffic across multiple EC2 instances, improving fault tolerance and availability. Application Load Balancers, Network Load Balancers, and Gateway Load Balancers serve different use cases. This course provides hands-on experience launching instances, configuring Auto Scaling, and implementing load balancing for highly available applications.

Amazon S3: Simple Storage Service

Amazon S3 provides object storage with industry-leading scalability, data availability, security, and performance. S3 stores data as objects within buckets, offering virtually unlimited storage capacity. Use cases include backup and restore, disaster recovery, data archiving, data lakes for analytics, static website hosting, and content distribution. S3 offers 99.999999999% (11 nines) durability by automatically creating and storing copies of objects across multiple devices in multiple facilities. Understanding S3 storage classes—S3 Standard, S3 Intelligent-Tiering, S3 Standard-IA, S3 One Zone-IA, S3 Glacier, and S3 Glacier Deep Archive—enables cost optimization by storing data in the appropriate tier based on access patterns.

S3 security features include bucket policies, access control lists (ACLs), encryption at rest and in transit, and integration with IAM for fine-grained access control. S3 versioning protects against accidental deletion or overwriting by maintaining multiple versions of objects. S3 lifecycle policies automatically transition objects between storage classes or delete them based on age, optimizing costs. This course covers S3 fundamentals, bucket creation and configuration, uploading and managing objects, implementing security best practices, and using S3 for common use cases including static website hosting and backup solutions.

Amazon RDS: Relational Database Service

Amazon RDS makes it easy to set up, operate, and scale relational databases in the cloud. RDS supports six database engines: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. RDS handles routine database tasks including provisioning, patching, backup, recovery, and failure detection, freeing you to focus on applications rather than database administration. RDS offers automated backups, database snapshots, and Multi-AZ deployments for high availability. Multi-AZ automatically replicates data to a standby instance in a different Availability Zone, providing failover capability if the primary instance fails.

Amazon Aurora, AWS’s cloud-native relational database, offers up to 5x the throughput of MySQL and 3x the throughput of PostgreSQL at a fraction of the cost of commercial databases. Aurora automatically divides your database volume into 10GB segments spread across many disks, providing high availability and durability. Aurora Serverless automatically starts up, shuts down, and scales capacity based on application needs, ideal for infrequent, intermittent, or unpredictable workloads. This course covers RDS fundamentals, launching database instances, connecting applications to RDS, implementing backups and recovery, and understanding when to use RDS versus self-managed databases on EC2.

Amazon VPC: Virtual Private Cloud

Amazon VPC enables you to provision a logically isolated section of the AWS Cloud where you can launch resources in a virtual network that you define. VPC provides complete control over your virtual networking environment including IP address ranges, subnets, route tables, and network gateways. Understanding VPC is fundamental to AWS networking and security. This section covers VPC components including subnets (public and private), internet gateways for internet access, NAT gateways for outbound internet access from private subnets, route tables for directing traffic, and security groups and network ACLs for controlling traffic.

VPC enables hybrid cloud architectures connecting your on-premises data center to AWS using VPN or AWS Direct Connect for dedicated network connections. VPC peering connects VPCs within or across AWS accounts, enabling resource sharing. AWS Transit Gateway simplifies network architecture by acting as a hub connecting multiple VPCs and on-premises networks. Understanding VPC networking is crucial for building secure, scalable AWS architectures. This course provides hands-on experience creating VPCs, configuring subnets and routing, implementing security groups, and connecting VPCs to the internet and other networks.

Real-World Example 2: Financial Services Compliance – A financial services firm built a compliant cloud infrastructure on AWS using VPC to isolate production workloads in private subnets with no direct internet access. They implemented multiple layers of security including security groups, network ACLs, and AWS WAF (Web Application Firewall) to protect against attacks. RDS Multi-AZ deployments provided high availability for critical databases, while automated backups and snapshots ensured data durability. By leveraging AWS compliance certifications (PCI DSS, SOC 2, ISO 27001), they accelerated their own compliance processes. This demonstrates how AWS services enable building secure, compliant architectures for regulated industries.

AWS Lambda and Serverless Computing

AWS Lambda enables running code without provisioning or managing servers—you pay only for compute time consumed. Lambda automatically scales from a few requests per day to thousands per second, handling the compute fleet management including server and operating system maintenance, capacity provisioning, automatic scaling, and logging. Lambda supports multiple programming languages including Python, Node.js, Java, Go, Ruby, and .NET. Use cases include data processing, real-time file processing, real-time stream processing, backend for mobile and web applications, and automation tasks.

Serverless architectures combine Lambda with other AWS services including API Gateway for creating RESTful APIs, DynamoDB for NoSQL databases, S3 for storage, and EventBridge for event routing. Serverless offers compelling advantages including no server management, automatic scaling, pay-per-use pricing (no charges when code isn’t running), and built-in fault tolerance. However, serverless isn’t suitable for all workloads—long-running processes, applications requiring consistent low latency, or workloads with predictable, sustained load may be better suited to EC2 or containers. This course covers Lambda fundamentals, creating functions, integrating with other services, and building serverless applications.

Amazon DynamoDB: NoSQL Database

Amazon DynamoDB is a fully managed NoSQL database service providing fast, predictable performance with seamless scalability. DynamoDB automatically scales throughput capacity to meet workload demands and partitions data across multiple servers for high availability and durability. DynamoDB offers single-digit millisecond latency at any scale, making it ideal for applications requiring consistent, fast performance. Use cases include mobile and web applications, gaming, IoT, and any application requiring flexible schema and high-performance key-value access.

DynamoDB supports two consistency models: eventually consistent reads (default, maximum throughput) and strongly consistent reads (guaranteed up-to-date data). DynamoDB Streams captures item-level changes, enabling real-time processing and replication. Global Tables provide multi-region, fully replicated tables for globally distributed applications. DynamoDB on-demand pricing charges per request, ideal for unpredictable workloads, while provisioned capacity offers lower costs for predictable workloads. This course covers DynamoDB fundamentals, table design, querying and scanning, implementing indexes, and understanding when to use DynamoDB versus RDS.

Amazon CloudFront and Content Delivery

Amazon CloudFront is a content delivery network (CDN) that delivers data, videos, applications, and APIs globally with low latency and high transfer speeds. CloudFront caches content at Edge Locations worldwide, serving content from locations closest to users. CloudFront integrates seamlessly with AWS services including S3, EC2, Elastic Load Balancing, and Lambda@Edge for running code at Edge Locations. Use cases include accelerating static website content, video streaming, API acceleration, and software distribution.

CloudFront provides security features including AWS Shield for DDoS protection, AWS WAF integration for application-layer security, and field-level encryption for protecting sensitive data. CloudFront supports custom SSL certificates for HTTPS. Understanding CloudFront is crucial for building globally distributed, performant applications. This course covers CloudFront fundamentals, creating distributions, configuring caching behaviors, implementing security features, and using CloudFront with S3 for static website hosting with global reach and high performance.

AWS Elastic Beanstalk: Application Deployment

AWS Elastic Beanstalk is a Platform as a Service (PaaS) that simplifies deploying and scaling web applications. You upload your code, and Elastic Beanstalk automatically handles deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring. Elastic Beanstalk supports multiple platforms including Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. You retain full control over AWS resources powering your application and can access them directly if needed.

Elastic Beanstalk is ideal for developers who want to deploy applications quickly without managing infrastructure. It provides a simple alternative to manually configuring EC2, Auto Scaling, Load Balancers, and other services. However, for complex architectures requiring fine-grained control, directly using AWS services may be more appropriate. This course covers Elastic Beanstalk fundamentals, deploying applications, configuring environments, implementing continuous deployment, and understanding when Elastic Beanstalk is appropriate versus manual infrastructure management.

Real-World Example 3: Startup Rapid Scaling – A social media startup used Elastic Beanstalk to rapidly deploy their application, enabling their small team to focus on product development rather than infrastructure management. When their app went viral, Auto Scaling automatically added capacity, handling a 50x traffic increase without manual intervention. They used CloudFront to distribute media content globally, reducing latency for international users. S3 stored user-generated content, providing unlimited scalable storage. Lambda processed uploaded images asynchronously. This serverless and managed service approach enabled a team of five engineers to support millions of users, demonstrating cloud computing’s power for startups.

Amazon ECS and EKS: Container Orchestration

Containers package applications with dependencies, ensuring consistency across environments. Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that makes it easy to deploy, manage, and scale containerized applications using Docker. ECS eliminates the need to install and operate container orchestration software, manage control plane infrastructure, or worry about scaling. AWS Fargate is a serverless compute engine for containers that works with ECS, removing the need to provision and manage servers—you define and pay for resources per application.

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service. Kubernetes, the open-source container orchestration platform, has become the industry standard for container orchestration. EKS runs Kubernetes control plane across multiple Availability Zones, automatically detecting and replacing unhealthy control plane nodes. EKS integrates with AWS services including IAM for authentication, VPC for networking, and CloudWatch for logging. This course covers container fundamentals, Docker basics, ECS for deploying containerized applications, and EKS for running Kubernetes workloads on AWS.

AWS CloudFormation: Infrastructure as Code

AWS CloudFormation enables modeling and provisioning AWS resources using code. You create templates describing desired resources and their dependencies, and CloudFormation provisions and configures them automatically. Infrastructure as Code (IaC) provides version control for infrastructure, enables repeatable deployments, documents infrastructure in code, and enables disaster recovery by recreating environments from templates. CloudFormation templates use JSON or YAML format, defining resources, parameters, outputs, and dependencies.

CloudFormation stacks are collections of AWS resources managed as a single unit. You can update stacks by modifying templates, and CloudFormation determines what changes to make. CloudFormation change sets preview changes before applying them, reducing risk. AWS CDK (Cloud Development Kit) enables defining infrastructure using familiar programming languages including Python, TypeScript, Java, and C#, which synthesize into CloudFormation templates. This course covers CloudFormation fundamentals, creating templates, deploying stacks, updating infrastructure, and using CloudFormation for repeatable, version-controlled infrastructure management.

AWS CloudWatch: Monitoring and Logging

AWS CloudWatch provides monitoring and observability for AWS resources and applications. CloudWatch collects metrics, logs, and events, providing a unified view of AWS resources, applications, and services. CloudWatch Metrics monitors resource utilization and performance including EC2 CPU utilization, ELB request counts, and custom application metrics. CloudWatch Alarms trigger actions based on metric thresholds, enabling automated responses to issues. CloudWatch Logs collects and stores logs from applications and AWS services, enabling searching, filtering, and analysis.

CloudWatch Dashboards visualize metrics and logs, providing operational visibility. CloudWatch Events (now EventBridge) delivers near real-time stream of system events describing changes in AWS resources, enabling event-driven architectures. CloudWatch Insights provides powerful log analytics capabilities. Understanding CloudWatch is crucial for operating production systems on AWS—you can’t manage what you can’t measure. This course covers CloudWatch fundamentals, creating metrics and alarms, collecting and analyzing logs, building dashboards, and implementing monitoring best practices for AWS environments.

AWS Security Best Practices

Security is AWS’s top priority, and the shared responsibility model defines security responsibilities. AWS is responsible for security of the cloud (infrastructure, hardware, software, networking, and facilities). Customers are responsible for security in the cloud (customer data, applications, identity and access management, operating systems, network configuration, and encryption). Understanding this model is fundamental to AWS security. This section covers AWS security services including IAM for access management, AWS KMS for encryption key management, AWS Secrets Manager for managing secrets, and AWS Certificate Manager for SSL/TLS certificates.

Security best practices include implementing least privilege access, enabling MFA for privileged accounts, encrypting data at rest and in transit, implementing network security using security groups and network ACLs, enabling logging and monitoring, regularly reviewing security configurations, and implementing incident response procedures. AWS provides security assessment services including AWS Trusted Advisor for security recommendations, Amazon Inspector for vulnerability assessment, and AWS Security Hub for centralized security findings. This course covers AWS security fundamentals, implementing security best practices, and using AWS security services to build secure cloud environments.

Real-World Example 4: Healthcare Data Security – A healthcare organization migrated patient records to AWS, implementing comprehensive security controls to comply with HIPAA regulations. They encrypted all data at rest using AWS KMS and in transit using TLS. IAM policies implemented least privilege access, with MFA required for privileged accounts. VPC isolated workloads in private subnets with no internet access. CloudTrail logged all API calls for audit trails. AWS Config monitored configuration compliance. GuardDuty provided threat detection. By leveraging AWS security services and following best practices, they achieved compliance certification while reducing security management overhead by 50%. This demonstrates how AWS enables building secure, compliant environments for sensitive data.

AWS Cost Optimization

Cloud computing’s pay-as-you-go model provides flexibility but requires active cost management to avoid waste. This section covers AWS cost optimization strategies including rightsizing instances (using appropriate instance types and sizes), using Reserved Instances and Savings Plans for predictable workloads (saving up to 75% versus On-Demand), using Spot Instances for fault-tolerant workloads (saving up to 90%), implementing Auto Scaling to match capacity with demand, and using S3 lifecycle policies to transition data to cheaper storage classes.

AWS Cost Explorer analyzes spending patterns and identifies optimization opportunities. AWS Budgets creates custom budgets and alerts when costs exceed thresholds. AWS Trusted Advisor provides cost optimization recommendations including idle resources and underutilized instances. Tagging resources enables cost allocation by project, team, or environment. This course covers cost management fundamentals, using AWS cost tools, implementing cost optimization strategies, and establishing cost governance practices. Understanding cost optimization is crucial for cloud practitioners—unmanaged cloud costs can quickly spiral out of control.

AWS Well-Architected Framework

The AWS Well-Architected Framework provides best practices for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. The framework consists of six pillars: Operational Excellence (running and monitoring systems), Security (protecting information and systems), Reliability (ensuring systems perform intended functions), Performance Efficiency (using resources efficiently), Cost Optimization (avoiding unnecessary costs), and Sustainability (minimizing environmental impact). Each pillar includes design principles, best practices, and questions for evaluating architectures.

The Well-Architected Tool helps review workloads against best practices and identify improvement areas. AWS Well-Architected Lenses extend the framework for specific use cases including serverless, machine learning, and SaaS. Understanding the Well-Architected Framework is valuable for AWS certifications and professional practice—it codifies AWS’s accumulated knowledge from working with millions of customers. This course introduces the Well-Architected Framework, covering key principles from each pillar and applying them to design decisions.

AWS Certification Paths

AWS certifications validate cloud expertise and are highly valued by employers. AWS offers certifications at three levels: Foundational (AWS Certified Cloud Practitioner), Associate (Solutions Architect, Developer, SysOps Administrator), and Professional (Solutions Architect, DevOps Engineer). Specialty certifications cover Advanced Networking, Security, Machine Learning, Database, Data Analytics, and SAP on AWS. The Cloud Practitioner certification is ideal for beginners, covering cloud concepts, AWS services, security, architecture, pricing, and support.

Solutions Architect Associate is the most popular certification, validating ability to design distributed systems on AWS. This course provides foundational knowledge supporting AWS certification preparation, particularly Cloud Practitioner and Solutions Architect Associate. While this course alone isn’t sufficient for certification (dedicated exam preparation is recommended), it provides practical AWS experience that complements exam study. Certifications demonstrate commitment to learning and validate skills to employers. Many organizations require or prefer AWS-certified professionals, making certifications valuable career investments.

Conclusion: Your AWS Journey

This AWS Masterclass provides comprehensive training from cloud computing fundamentals through advanced AWS services, architectural patterns, and best practices, preparing you for rewarding careers in cloud computing. By mastering core AWS services including EC2, S3, RDS, Lambda, and VPC, along with security, monitoring, and cost optimization, you’ll develop practical skills for building scalable, secure, cost-effective cloud solutions. Cloud computing represents the future of IT infrastructure, and AWS leads the industry with the most comprehensive platform and largest customer base.

Whether you’re beginning your cloud journey, enhancing existing IT skills, or pursuing AWS certifications, this course provides the foundation for success. The skills you develop—cloud architecture, infrastructure automation, security, and cost management—are highly valued across industries. As organizations continue migrating to the cloud and building cloud-native applications, demand for AWS skills will remain strong for years to come.

Take Action: Create your AWS account and explore the Free Tier, work through hands-on labs and tutorials, build projects demonstrating your skills, pursue AWS certifications to validate your knowledge, and engage with the AWS community through forums, user groups, and events. Remember that cloud computing is learned through practice—the more you build on AWS, the more proficient you’ll become. Your journey to becoming an AWS cloud professional starts with launching your first EC2 instance. Embrace the cloud, stay curious about new services and features, and build solutions that leverage the full power of AWS. The cloud is the future, and you can be part of it.