Resources

Lets dive into the world of Cloud Computing

Lab 1: Introduction to AWS IAM

AWS Identity and Access Management (IAM) is a web service that enables Amazon Web Services (AWS) customers to manage users and user permissions in AWS.

Lab 2: Build your VPC and Launch a Web Server

In this lab, you will use Amazon Virtual Private Cloud (VPC) to create your own VPC and add additional components to produce a customized network.

Lab 3: Introduction to Amazon EC2

This lab provides a basic overview of launching, resizing, and monitoring an EC2 instance.

Lab 4: Creating Launch Templates and Auto Scaling Groups

Learn to create launch templates and auto scaling groups to optimize resource utilization and ensure high availability.

Lab 5: Sentiment Analysis of The Text

AWS Comprehend’s sentiment analysis can provide actionable insights from text data across various applications.

Introduction to AWS IAM

Lab Outcome

Explored pre-created IAM Users and Groups.
Inspected IAM policies applied to groups.
Added users to groups with specific capabilities enabled.
Located and used the IAM sign-in URL.
Experimented with the effects of policies on service access.

Business Scenario

User	In Group	Permissions
User 1	S3-Support	Read-Only access to Amazon S3
User 2	EC2-Support	Read-Only access to Amazon EC2
User 3	EC2-Admin	View, Start, and Stop Amazon EC2 instances

User 1: Read-only access to S3 storage

User 2: Read-only access to Amazon EC2

User 3: View, Start, and Stop Amazon EC2 instances

Build your VPC and Launch a Web Server

Lab Outcome

Created a VPC using Amazon Virtual Private Cloud (VPC).
Added components to produce a customized network.
Created a security group.
Configured and customized an EC2 instance to run a web server.

Creating Launch Templates and Auto Scaling Groups

Lab Outcome

Created an Amazon Machine Image (AMI) as a basic configuration template for EC2 instances.
Created an Auto Scaling Group associated with the launch template, providing optimized utilization, cost efficiency, better fault tolerance, and high availability.
Verified the Auto Scaling group status via the EC2 dashboard.

AWS Comprehend

Lab Outcome

AWS Comprehend is a natural language processing (NLP) service that uses machine learning to extract insights and identify patterns within text data, including sentiment analysis to determine positive, negative, neutral, or mixed sentiment.

Applications

Customer Feedback Analysis: Analyze reviews, feedback, and surveys to gauge satisfaction and identify areas for improvement.
Social Media Monitoring: Monitor brand mentions to understand public perception and react promptly.
Market Research: Analyze sentiment in market research data to understand consumer preferences.
Content Moderation: Identify and flag negative or inappropriate content.
Product Development: Gain insights into customer sentiment to guide product enhancements.

Upcoming Projects

1) Sentiment Analysis Using AWS Comprehend

Feedback is crucial for e-commerce platforms. Using AI and machine learning, this project analyzes customer feedback to determine if it's favorable or negative, enhancing user experience and service quality.

Features

ChatBot using AWS Lex
Speech-to-text using AWS Polly
Sentiment analysis using AWS Comprehend