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. You will also create a security group
Lab - 3 Introduction to Amazon EC2
This lab provides you with a basic overview of launching, resizing,and monitoring an
EC2 instance. EC2's simple web service interface allows you to obtain and configure capacity with
minimal friction.
Lab 4 : Creating Launch Templates and Auto Scaling Groups
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 5 : Sentiment Analysis of The Text
AWS Comprehend’s sentiment analysis can be a powerful tool for gaining actionable insights from text data across various applications and industries.
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Introduction to Amazon EC2
Lab Outcome
taken a basic overview of launching, resizing, managing, and monitoring an Amazon EC2 instance.
Launch a web server with termination protection enabled
and monitored EC2 instance
Modify the security group that web server is using to allow HTTP access
Resize Amazon EC2 instance to scale and enable stop protection. and then, Stopped the instance
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Introduction to AWS IAM
Lab Outcome
Exploring pre-created IAM Users and Groups
Inspecting IAM policies as applied to the pre-created groups and
Following a real-world scenario, adding users to groups with specific capabilities enabled
Locating and using the IAM sign-in URL
Experimenting with the effects of policies on service access
Business Scenerio
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 : having only read only function in S3 storage
User 2 : having Read-Only access to Amazon EC2
User 3 : View, Start and Stop Amazon EC2 instances
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Build your VPC and Launch a Web Server
Lab Outcome
used Amazon Virtual Private Cloud (VPC) to create your own VPC
added additional components to produce a customized network
created a security group.
configure and customize an EC2 instance to run a web server
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Creating Launch Templates and Auto Scaling Groups
Lab Outcome
Creating a Amazone Machine Image (AMI) (basic configuration template) for EC2 Instance
Creating a Auto Scaling Group That associates with the Launched templated in step 1
It provides various features like
optimize your utilization and cost efficiencies
Better fault tolerance
High availability of resources
Through EC2 dashboard , checking if the Auto Scaling group is running or not .
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AWS Comprehend
Lab Outcome
AWS Comprehend is a natural language processing ( NLP ) service provided by Amazon Web Services (AWS) that
leverages machine learning to extract insights and identify patterns within text data. One of its features is
sentiment analysis, which determines whether the sentiment expressed in a piece of text is positive, negative,
neutral, or mixed.
Applications
Customer Feedback Analysis:
Automatically analyze customer reviews, feedback, and surveys to gauge customer satisfaction and identify
areas for improvement.
Social Media Monitoring:
Monitor social media platforms for brand mentions and assess the sentiment to understand public perception and
react promptly.
Market Research:
Analyze sentiment in market research data to understand consumer preferences and trends.
Content Moderation:
Identify and flag negative or inappropriate content to maintain a positive online community.
Product Development:
Gain insights into customer sentiment regarding product features and functionality to guide product
development and enhancements.
Upcoming Projects
1) Sentiment Analysis Using AWS Comprehend
Feedback is crucial in any e-commerce or shopping website when a customer receives any kind of service, thus
it's necessary to use AI and machine learning techniques to analyze the feedback and determine if it's
favorable or negative.