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Absolutely! Diving into AWS Cloud Computing is a fantastic way to enhance your skills in today's technology-driven world. Here's a comprehensive syllabus that covers the essential aspects of AWS Cloud Computing:

Transform your expertise into impact—build career as an AWS Architect

AWS Cloud Computing Course Syllabus

Module 1

Introduction to Cloud Computing and AWS

Understanding Cloud Computing:

  • Fundamental concepts and service models (IaaS, PaaS, SaaS)
  • Benefits and challenges of cloud adoption

  • AWS Overview
  • AWS global infrastructure and architecture
  • Key AWS services and their functions
  • Navigating the AWS Management Console

  • Setting Up Your AWS Environment
  • Creating and securing an AWS account
  • Understanding AWS Free Tier
  • Billing and cost management basics
Module 2

AWS Core Services

Compute Services:

  • Amazon EC2 (Elastic Compute Cloud)
  • Launching and managing EC2 instances
  • Instance types, AMIs, and pricing models
  • Security groups and key pairs

  • AWS Lambda
  • Introduction to serverless computing
  • Creating and deploying Lambda functions
  • Event-driven architecture
Storage Services

Amazon S3 (Simple Storage Service):

  • Creating buckets and managing objects
  • Storage classes and lifecycle policies
  • Versioning and encryption

  • Amazon EBS (Elastic Block Store)
  • Types of EBS volumes
  • Snapshots and backups

  • Amazon EFS (Elastic File System)
  • Setting up scalable file storage
Database Services

Amazon RDS (Relational Database Service):

  • Deploying and managing relational databases
  • High availability with Multi-AZ deployments
  • Read replicas and backup strategies

  • Amazon DynamoDB
  • Introduction to NoSQL databases
  • Tables, items, and attributes management

  • Amazon Redshift
  • Data warehousing concepts
Module 3

Networking and Content Delivery

Amazon VPC (Virtual Private Cloud):

  • Building your own VPC
  • Subnets, route tables, and gateways
  • Network security with security groups and NACLs

  • Elastic Load Balancing and Auto Scaling
  • Distributing traffic with ELB
  • Maintaining performance with Auto Scaling

  • Amazon Route 53
  • Domain registration and DNS management
  • Routing policies and health checks

  • AWS CloudFront
  • Content delivery and caching strategies
  • Configuring and using CDNs
Module 4

Security, Identity, and Compliance

AWS Identity and Access Management (IAM):

  • Managing users, groups, and roles
  • Creating and attaching IAM policies
  • Best practices for security

  • AWS Security Services
  • AWS KMS (Key Management Service)
  • Managing encryption keys

  • AWS Shield and WAF (Web Application Firewall)
  • Protecting against DDoS attacks

  • Amazon Inspector
  • Security assessments and compliance checks

  • Compliance and Governance
  • Understanding the Shared Responsibility Model
  • Data protection and compliance standards (HIPAA, GDPR, etc.)
Module 5

Monitoring, Auditing, and Optimization

AWS CloudWatch:

  • Monitoring resources and applications
  • Setting up alarms and notifications

  • AWS CloudTrail
  • Logging and monitoring API activity
  • Auditing and compliance tracking

  • AWS Config
  • Tracking resource inventory and changes

  • AWS Trusted Advisor
  • Optimizing performance and security

  • Cost Management
  • Tools for budgeting and cost optimization
  • Resource tagging strategies
Module 6

Application Integration and Deployment

AWS Elastic Beanstalk:

  • Deploying and scaling web applications
  • Managing environments and configurations

  • AWS CloudFormation
  • Infrastructure as Code (IaC)
  • Writing and deploying CloudFormation templates

  • Amazon SQS (Simple Queue Service) and SNS (Simple Notification Service)
  • Decoupling applications with messaging services
  • Event-driven architectures

  • AWS Step Functions
  • Orchestrating serverless workflows
Module 7

Containers and Serverless Computing

Amazon ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service):

  • Container orchestration with ECS and EKS
  • Managing clusters and deploying containerized applications

  • AWS Fargate
  • Serverless compute for containers

  • Serverless Architectures
  • Designing applications without servers
  • Best practices and use cases
Module 8

Big Data and Analytics

Amazon EMR (Elastic MapReduce):

  • Processing big data with Hadoop and Spark

  • Amazon Kinesis
  • Real-time data streaming and processing

  • Amazon Athena
  • Querying data in S3 using SQL

  • Amazon QuickSight
  • Business intelligence and data visualization
Module 9

Machine Learning and AI Services

Amazon SageMaker:

  • Building, training, and deploying ML models

  • AI Services Overview

  • Amazon Rekognition for image analysis

  • Amazon Comprehend for natural language processing

  • Amazon Lex for conversational interfaces
Module 10

Migration and Hybrid Cloud

AWS Migration Strategies:

  • The 6 R's of migration (Rehosting, Replatforming, etc.)

  • AWS Database Migration Service
  • Migrating databases to AWS

  • AWS Snow Family
  • Moving large amounts of data with Snowball, Snowcone, and Snowmobile

  • Hybrid Cloud Solutions
  • Integrating on-premises environments with AWS
  • AWS Storage Gateway and VPN connections
Module 11

DevOps on AWS

Introduction to DevOps Culture:

  • Principles and practices

  • AWS DevOps Tools

  • AWS CodeCommit for source control

  • AWS CodeBuild for continuous integration

  • AWS CodeDeploy for automated deployments

  • AWS CodePipeline for continuous delivery

  • Monitoring and Logging
  • Integrating DevOps workflows with monitoring tools
Module 12

AWS Certification Preparation

Certification Paths:

  • Overview of AWS certifications (Foundational, Associate, Professional, Specialty)

  • Exam Preparation

  • Study strategies and resources
  • Practice exams and sample questions
  • Tips for Success

  • Time management during exams
  • Understanding question formats and scenarios
Module 13

Hands-On Labs and Real-World Projects

Practical Exercises:

  • Setting up a multi-tier application
  • Implementing security best practices
  • Cost optimization challenges
  • Capstone Project

  • Designing and deploying a scalable, secure application on AWS
  • Peer Review and Collaboration

  • Working in teams to solve complex problems
  • Presenting solutions and sharing insights
Academic Programs

Additional Resources

AWS Documentation and Whitepapers

In-depth guides on services and architectures

AWS Skill Builder and Tutorials

Interactive learning paths and hands-on tutorials

Community and Forums

Engaging with AWS user groups and online forums

Blogs and Updates

Staying informed about the latest AWS announcements and best practices

Why This Course Matters

In an era where cloud computing is the backbone of modern infrastructure, mastering AWS opens doors to countless opportunities. This course not only equips you with technical know-how but also emphasizes practical experience and strategic thinking.
Academic Programs
Academic Programs

Next Steps and Learning Path

Specialize in Advanced Topics

Dive deeper into areas like security, machine learning, or big data

Pursue Certifications

Validate your skills with industry-recognized credentials

Stay Curious

Technology evolves rapidly; keep learning and experimenting

**Are you interested in any specific module, or perhaps how AWS compares to other cloud providers like Azure or Google Cloud? I'm here to help you navigate your cloud computing journey. Let me know if you'd like to explore further or if there's anything else on your mind!**