AWS Full Course Overview

Introduction to AWS

• AWS (Amazon Web Services): Leading cloud platform providing a wide range of IT services including compute power, storage, database, and networking.
• AWS Solution Architect Role: Design and manage cloud solutions, in high demand with significant salary potential.
• Key Features: Scalability, high availability, pay-as-you-go pricing, and security.

AWS Core Services

• EC2 (Elastic Compute Cloud): Provides virtual servers.
• S3 (Simple Storage Service): Object storage with scalability and durability.
• RDS (Relational Database Service): Managed relational database service.
• IAM (Identity and Access Management): Manage access to AWS services securely.

AWS Infrastructure

• VPC (Virtual Private Cloud): Create isolated cloud resources.
• Subnets: Public and private subdivisions of a VPC.
• Elastic IPs: Static IP addresses for dynamic cloud computing.
• NAT Gateways: Enable private subnet instances to access the internet.
• Network ACLs & Security Groups: Firewall-like mechanisms for controlling traffic.

AWS Networking

• Route 53: Scalable DNS web service.
• CloudFront: Content delivery network (CDN) for low-latency content delivery.

Computing and Application Services

• Elastic Beanstalk: Deploy and manage applications without worrying about infrastructure.
• ECS (Elastic Container Service): Orchestrate Docker containers.
• Lambda: Serverless compute service that runs code in response to events.

Data and Storage

• EBS (Elastic Block Store): Persistent block-level storage volumes.
• Glacier: Low-cost storage for archiving and long-term backup.
• DynamoDB: Managed NoSQL service.

Scaling and Load Balancing

• Auto Scaling: Automatically adjust the number of computing resources.
• Elastic Load Balancer (ELB): Distribute incoming application traffic across multiple targets.

Security and Compliance

• AWS Security Hub: Centralized view of security across AWS.
• GuardDuty and AWS Config: Monitor potential threats and compliance.
• CloudTrail: Track user activity and API usage.

Machine Learning

• SageMaker: Build, train, and deploy machine learning models.

Key Case Studies

• Spotify & AWS CloudFront: Improved performance and scalability.
• ProQuest & SageMaker: Enhance user search experience.

Interview Preparation

• AWS Interview Questions: Cover core services, infrastructure setup, security practices, and case-based problem solving.

Conclusion

• Career Prospects: AWS skills in high demand with lucrative opportunities.
• Continuous Learning: Importance of staying updated with AWS services and certifications.

Additional Learning Resources

• Simply Learn Programs: Courses in data science, cloud computing, cyber security, AI, and digital marketing.