Amazon Web Services (AWS)

Learning Amazon Web Services (AWS) is crucial for IT placements due to its pivotal role in cloud computing. AWS provides a vast array of services, including computing power, storage, and databases, which are essential for designing, deploying, and managing scalable applications.

Its flexible pay-as-you-go model and extensive global infrastructure cater to businesses of all sizes, from startups to large enterprises.

AWS's ecosystem includes tools like AWS Lambda for serverless computing and Amazon RDS for managed databases, supported by extensive resources and documentation.

Proficiency in AWS highlights a candidate's ability to drive digital innovation and business transformation, making them highly valuable for companies looking to enhance their cloud capabilities.

Syllabus:

• 1) Introduction to AWS
• What is AWS?
• Overview of AWS Services
• AWS Global Infrastructure
• Getting Started with AWS Free Tier
• 2) Compute Services
• Amazon EC2 (Elastic Compute Cloud)
• Amazon ECS (Elastic Container Service)
• Amazon Lambda (Serverless Computing)
• AWS Elastic Beanstalk
• 3) Storage Services
• Amazon S3 (Simple Storage Service)
• Amazon EBS (Elastic Block Store)
• Amazon Glacier (Long-Term Storage)
• Amazon EFS (Elastic File System)
• 4) Database Services
• Amazon RDS (Relational Database Service)
• Amazon DynamoDB (NoSQL Database)
• Amazon Redshift (Data Warehouse)
• Amazon Aurora (High-Performance Database)
• 5) Networking Services
• Amazon VPC (Virtual Private Cloud)
• Amazon Route 53 (DNS Service)
• Elastic Load Balancing
• Amazon API Gateway
• 6) Security and Identity
• AWS IAM (Identity and Access Management)
• AWS Key Management Service (KMS)
• AWS Certificate Manager
• Amazon Cognito (User Identity Management)
• 7) DevOps and Management Tools
• AWS CloudFormation
• AWS CodeDeploy
• AWS CodePipeline
• AWS Systems Manager
• 8) Monitoring and Analytics
• Amazon CloudWatch
• AWS CloudTrail
• Amazon Elasticsearch Service
• AWS X-Ray
• 9) Machine Learning and AI Services
• Amazon SageMaker
• Amazon Comprehend (Natural Language Processing)
• Amazon Rekognition (Image and Video Analysis)
• Amazon Polly (Text-to-Speech)
• 10) Serverless Application Development
• Building Serverless Applications with AWS Lambda
• API Gateway Integration
• Event-Driven Architectures
• AWS SAM (Serverless Application Model)
• 11) AWS Deployment and Management
• CI/CD Pipelines with AWS CodePipeline
• Automated Deployment with AWS CodeDeploy
• Infrastructure as Code with AWS CloudFormation
• Managing AWS Resources with AWS CLI
• 12) AWS Best Practices and Cost Optimization
• Security Best Practices
• Cost Optimization Strategies
• Performance Optimization Techniques
• Operational Excellence