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AWS Developer

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AWS Developer

AWS

Duration
45 Hours

Course Description

             An AWS Data Engineer course typically covers the core AWS services used for building and managing data pipelines, including data ingestion, transformation, storage, and analysis. The curriculum often includes hands-on experience with tools like AWS Glue, Redshift, EMR, Athena, and S3, with a focus on security, cost optimization, and best practices for data engineering on AWS. 

Course Outline For AWS Developer

1. AWS fundamentals and core services

  • Introduction to AWS: Covers cloud computing concepts, AWS Global Infrastructure, and the benefits of using AWS for application development.
  • Accessing AWS: Learn how to interact with AWS services through the AWS Management Console, the AWS Command Line Interface (CLI), and Software Development Kits (SDKs) for various programming languages (e.g., Python, Java, Node.js).
  • Networking: Basic concepts of Virtual Private Cloud (VPC), including subnets, route tables, security groups, and Network Access Control Lists (NACLs).
  • Compute: Deep dive into Amazon EC2 (Elastic Compute Cloud) for virtual servers, including AMIs (Amazon Machine Images), instance types, storage options (EBS), and auto scaling.
  • Storage: Working with Amazon S3 (Simple Storage Service) for object storage, including storage classes, versioning, encryption, and static website hosting.
  • Databases: Understanding Amazon RDS (Relational Database Service) for managed relational databases and Amazon DynamoDB for NoSQL databases. 

2. Serverless architecture and development

  • AWS Lambda: Developing and deploying serverless functions, understanding triggers, event sources, permissions, and best practices for creating event-driven solutions.
  • Amazon API Gateway: Building and deploying APIs to expose Lambda functions and other AWS services as secure and scalable web services.
  • AWS Step Functions: Orchestrating complex workflows involving multiple Lambda functions and other services.
  • Serverless Application Model (SAM): Defining, deploying, and managing serverless applications using a simplified template structure. 

3. Application integration and messaging

  • Amazon SQS (Simple Queue Service): Implementing message queues for decoupling applications and enabling asynchronous communication.
  • Amazon SNS (Simple Notification Service): Setting up notification services for various events and delivering messages to subscribers.
  • Amazon EventBridge: Building event-driven architectures and integrating applications using event buses.
  • Amazon Kinesis: Processing and analyzing real-time streaming data for various applications. 

4. Deployment and management

  • AWS Elastic Beanstalk: Deploying and managing web applications and services without provisioning or managing infrastructure.
  • AWS CloudFormation: Using Infrastructure as Code (IaC) to define and provision AWS resources through templates.
  • Continuous Integration/Continuous Delivery (CI/CD): Implementing automated pipelines for building, testing, and deploying applications using AWS services like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
  • Amazon ECS (Elastic Container Service) and Docker: Working with containerized applications and deploying them on AWS. 

5. Security and monitoring

  • AWS IAM (Identity and Access Management): Managing user access and permissions to AWS resources.
  • Cloud Security Best Practices: Understanding security measures like encryption, secure coding, and authentication using services like AWS Key Management Service (KMS) and Amazon Cognito.
  • Amazon CloudWatch: Monitoring application and infrastructure performance, setting up alarms, and analyzing logs.
  • AWS X-Ray: Debugging and analyzing distributed applications. 

6. Advanced topics and best practices

  • Performance Optimization: Identifying and resolving performance bottlenecks in AWS applications.
  • Cost Optimization: Strategies for managing and reducing AWS costs.
  • Troubleshooting: Identifying and resolving common issues in AWS environments.
  • AWS CLI & SDKs: In-depth understanding and practical application of these tools for interacting with AWS services.
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