AWS Learning Path for 2024

Amazon Web Services (AWS) is a leading cloud services provider offering a broad set of global cloud-based products. Here’s a comprehensive learning path to master AWS in 2024:

1. Introduction to Cloud Computing

• Understanding Cloud Computing:
  • Basics of cloud computing.
  • Types of cloud services: IaaS, PaaS, SaaS.
  • Cloud deployment models: Public, Private, Hybrid.

2. Getting Started with AWS

• Introduction to AWS:
  • Overview of AWS.
  • Global infrastructure: Regions and Availability Zones.
  • Creating an AWS account.
• AWS Management Console:
  • Navigating the AWS Management Console.
  • Understanding AWS CLI and SDKs.

3. Core AWS Services

• Compute Services:
  • Amazon EC2 (Elastic Compute Cloud).
  • AWS Lambda (Serverless computing).
  • Amazon ECS and EKS (Container services).
• Storage Services:
  • Amazon S3 (Simple Storage Service).
  • Amazon EBS (Elastic Block Store).
  • Amazon FSx (File Systems).
• Networking Services:
  • Amazon VPC (Virtual Private Cloud).
  • AWS Direct Connect.
  • Elastic Load Balancing (ELB).

4. Database Services

• Relational Databases:
  • Amazon RDS (Relational Database Service).
  • Amazon Aurora.
• NoSQL Databases:
  • Amazon DynamoDB.
  • Amazon DocumentDB.
• Data Warehousing:
  • Amazon Redshift.

5. Security and Identity

• AWS Identity and Access Management (IAM):
  • Managing users, roles, and policies.
  • Understanding IAM best practices.
• AWS Key Management Service (KMS):
  • Managing encryption keys.
• AWS Security Hub:
  • Centralized security view.

6. DevOps and CI/CD

• AWS CodeCommit:
  • Source control service.
• AWS CodeBuild:
  • Build and test code.
• AWS CodeDeploy:
  • Automate software deployments.
• AWS CodePipeline:
  • CI/CD service for fast and reliable application updates.

7. Monitoring and Management

• Amazon CloudWatch:
  • Monitoring AWS resources.
  • Setting up alarms and dashboards.
• AWS CloudTrail:
  • Logging and monitoring account activity.
• AWS Config:
  • Monitoring and assessing resource configurations.

8. Big Data and Analytics

• Amazon EMR:
  • Big data processing with Hadoop, Spark, etc.
• Amazon Kinesis:
  • Real-time data streaming.
• AWS Glue:
  • ETL (Extract, Transform, Load) service.

9. Machine Learning and AI

• Amazon SageMaker:
  • Building, training, and deploying machine learning models.
• AWS Rekognition:
  • Image and video analysis.
• Amazon Lex:
  • Building conversational interfaces.

10. IoT and Edge Computing

• AWS IoT Core:
  • Connecting IoT devices to the cloud.
• AWS Greengrass:
  • Extending AWS to edge devices.
• AWS Snowball:
  • Edge computing and data transfer service.

11. Serverless Architecture

• AWS Lambda:
  • Running code without provisioning servers.
• Amazon API Gateway:
  • Creating and managing APIs.
• AWS Step Functions:
  • Coordinating distributed applications and microservices.

12. Cost Management

• AWS Cost Explorer:
  • Analyzing AWS usage and costs.
• AWS Budgets:
  • Setting custom cost and usage budgets.
• AWS Trusted Advisor:
  • Optimizing AWS infrastructure.

13. Certifications and Exam Preparation

• Foundational Certification:
  • AWS Certified Cloud Practitioner.
• Associate Certifications:
  • AWS Certified Solutions Architect – Associate.
  • AWS Certified Developer – Associate.
  • AWS Certified SysOps Administrator – Associate.
• Professional Certifications:
  • AWS Certified Solutions Architect – Professional.
  • AWS Certified DevOps Engineer – Professional.
• Specialty Certifications:
  • AWS Certified Security – Specialty.
  • AWS Certified Big Data – Specialty.
  • AWS Certified Machine Learning – Specialty.

Resources

• Official Documentation: AWS Documentation
• Books:
  • “AWS Certified Solutions Architect Official Study Guide” by Joe Baron, Hisham Baz, Tim Bixler, et al.
  • “Amazon Web Services in Action” by Andreas Wittig and Michael Wittig.
• Practice Labs:
  • Use platforms like Qwiklabs and AWS Training for hands-on practice.

By following this learning path, you will gain a thorough understanding of AWS and be well-prepared to leverage its services for various cloud computing needs in 2024 and beyond.