Mastering AWS Cloud Computing
Learn the core concepts of AWS and cloud computing, including cloud infrastructure, virtual machines, storage systems, networking, security, deployment, and scalable application hosting. Explore real-world AWS services and modern cloud workflows used in software development, DevOps, data engineering, and enterprise computing.

What's Included
33
Lessons
8h 30m
Duration
Certificate
What You'll Master
Skills and outcomes you'll walk away with
Introduction to AWS and Cloud Computing
Computer Networks and Internet Foundations
Linux, Command Line, and Server Foundations
Python and Programming for Cloud Engineering
Understanding Cloud Computing Models and Architecture
Setting Up AWS Account and Cloud Environment
Course Curriculum
33 lessons • 8h 30m total
Introduction to AWS and Cloud Computing
Computer Networks and Internet Foundations
Linux, Command Line, and Server Foundations
Python and Programming for Cloud Engineering
Understanding Cloud Computing Models and Architecture
Setting Up AWS Account and Cloud Environment
AWS Global Infrastructure and Core Services
Identity and Access Management (IAM) Systems
Amazon EC2 and Cloud Server Management
Amazon S3 and Cloud Storage Systems
Amazon VPC and Cloud Networking
Amazon RDS and Cloud Database Engineering
DynamoDB and NoSQL Cloud Databases
AWS Lambda and Serverless Computing
API Gateway and Backend API Systems
CloudWatch, Monitoring, and Observability Systems
DevOps, CI/CD, and Cloud Automation Workflows
Docker, Kubernetes, and Containerized Cloud Systems
Terraform, CloudFormation, and Infrastructure as Code
AWS Security, Encryption, and Governance Systems
AWS for AI, Machine Learning, and Generative AI
AWS Bedrock and LLM Application Development
Streamlit, React, and Cloud-Native Frontend Hosting
Real-Time Systems and Event-Driven Cloud Architectures
High Availability, Disaster Recovery, and Cloud Scaling
Cost Optimization and Cloud Financial Management
Real-World Business and Enterprise AWS Applications
Project — Cloud-Native Web Application Platform
Project — Serverless Backend and API Platform
Project — AI-Powered Generative AI Cloud Platform
Project — DevOps and Cloud Automation Infrastructure
Project — Enterprise SaaS and Cloud Orchestration Platform
Expert-Level AWS and Cloud Engineering
Certification Path
Certification Exam
99 multiple-choice questions • 70% passing score required
Final Project: Architecting and Deploying a Highly Available Cloud Infrastructure on AWS
<p><strong>Objective:</strong> In this final project, you will apply everything learned throughout the AWS and Cloud Computing course by designing, provisioning, and deploying a highly available, fault-tolerant, and secure web application infrastructure on AWS.</p><p><strong>Instructions:</strong></p><ol><li><strong>Network Architecture:</strong> Create a custom Virtual Private Cloud (VPC) with public and private subnets across at least two Availability Zones. Configure Internet Gateways and NAT Gateways appropriately.</li><li><strong>Compute & Load Balancing:</strong> Deploy an Application Load Balancer (ALB) in the public subnets. Configure an Auto Scaling Group (ASG) of Amazon EC2 instances in the private subnets to serve the web application.</li><li><strong>Database Tier:</strong> Provision an Amazon RDS instance (MySQL or PostgreSQL) in the private subnets with Multi-AZ deployment enabled for high availability.</li><li><strong>Storage:</strong> Create an Amazon S3 bucket for storing static assets. Implement a bucket policy that restricts public access and serves content via Amazon CloudFront.</li><li><strong>Security:</strong> Implement strict Security Groups and IAM roles using the principle of least privilege. Ensure EC2 instances communicate with RDS securely.</li><li><strong>Deliverables:</strong> Submit a comprehensive architecture diagram, a detailed deployment guide (or Infrastructure as Code scripts like CloudFormation/Terraform), and a monthly cost estimation using the AWS Pricing Calculator.</li></ol>
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