AWS Tutorial For Beginners | AWS Full Course - Learn AWS In 10 Hours | AWS Training | Edureka

Introduction

This tutorial is designed to guide beginners through the essentials of Amazon Web Services (AWS). Based on the comprehensive Edureka AWS Full Course, you will learn about various AWS services, cloud computing concepts, and practical applications. By the end, you should have a solid foundation to pursue AWS certification and apply your knowledge in real-world scenarios.

Step 1: Understand Cloud Computing

• Definition: Cloud computing allows users to access and store data over the internet instead of on local servers or personal computers.

Benefits

• Scalability: Easily scale resources up or down based on demand.
• Cost-Effective: Pay only for the services you use.
• Accessibility: Access services from anywhere with an internet connection.

Step 2: Explore Cloud Service Models

Types of Service Models

• Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet (e.g., AWS EC2).
• Platform as a Service (PaaS): Offers hardware and software tools over the internet (e.g., AWS Elastic Beanstalk).
• Software as a Service (SaaS): Delivers software applications over the internet on a subscription basis.

Step 3: Discover Cloud Deployment Models

• Public Cloud: Services offered over the public internet (e.g., AWS).
• Private Cloud: Exclusive cloud services for a single organization.
• Hybrid Cloud: Combines public and private clouds for greater flexibility.

Step 4: Introduction to AWS

• Overview: AWS is a comprehensive cloud platform offering over 200 fully featured services.
• Use Cases: From web hosting to big data analytics, AWS services cater to various needs.

Step 5: Learn About AWS Compute Services

Key Services

• EC2 (Elastic Compute Cloud): Virtual servers in the cloud.
• AWS Lambda: Serverless compute service that runs code in response to events.

Understanding EC2

• Instance: A virtual server within EC2.
• Types of Instances: Choose based on workload requirements (e.g., compute-optimized, memory-optimized).
• Pricing Models: On-demand, reserved, and spot instances.

Step 6: Get Hands-On with AWS Lambda

• Benefits: Automatically scales applications by executing code in response to events.
• Using AWS SDK: Integrate Lambda with various programming environments like Eclipse.

# Sample AWS Lambda Function
def lambda_handler(event, context)
    return "Hello from AWS Lambda!"

Step 7: Understand AWS Elastic Beanstalk

• Definition: A platform as a service (PaaS) for deploying and scaling web applications.
• Features: Automated deployment, monitoring, and scaling of applications.
• Demo: Learn how to deploy an application using Elastic Beanstalk.

Step 8: Explore AWS S3 for Storage

• What is S3: A cloud storage service that allows you to store and retrieve any amount of data.

Key Concepts

• Buckets: Containers for storing objects.
• Objects: Files stored in buckets.
• Versioning: Track different versions of objects.
• Transfer Acceleration: Speed up uploads and downloads.

Step 9: Discover Networking Services with AWS CloudFront

• Definition: A content delivery network (CDN) that delivers data, videos, applications, and APIs securely.
• How It Works: Distributes content globally to reduce latency.

Step 10: Implement Monitoring with AWS CloudWatch

• Purpose: Monitoring AWS resources and applications in real-time.

Key Features

• Track metrics and log files.
• Set up alarms based on thresholds.

Step 11: Understand AWS Security

• Importance: Protecting data in the cloud is vital.
• AWS IAM (Identity and Access Management): Manage user access and permissions securely.

Conclusion

AWS offers powerful tools and services that can greatly enhance your ability to deploy and manage applications in the cloud. By following this tutorial, you have gained insights into AWS's core services and concepts. As a next step, consider hands-on practice with AWS services and explore the AWS certification paths to validate your skills.