In this comprehensive Tech Stack Playbook® tutorial, I'll walk you through the process of setting up AWS IAM Identity Center for managing and provisioning access to AWS resources and services. We'll create a permission set and enable a user to securely download data from an S3 bucket using Python and Boto3.

This is probably the single most important resource for working with an managing an AWS account, so I cannot wait to dive into this with you!

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One of the most important aspects of cloud security is managing access and permissions effectively. In this video, we’ll cover everything you need to know about setting up AWS IAM Identity Center, creating permission sets, and using a user's short-lived credentials from IAM Identity Center to securely download data in an S3 bucket using Python and Boto3.

Here’s what you’ll learn how to do in this video:

🙋‍♂️ Enable AWS IAM Identity Center
🔧 Create and Configure Permission Sets
👤 Assign Users and Roles
⏳ Use IAM Identity Center Short-Lived Credentials
🤖 Leverage Amazon Q Developer to Write IAM Policies
🐍 Use Python and Boto3 to Access S3 Bucket Data

⏰ TIMESTAMPS:
00:00 Introduction
04:20 IAM Identity Center Overview
06:52 Enable IAM Identity Center in the AWS Console
09:08 Create a User & Group + Login
13:20 Create a Permission Set
14:40 Create an S3 Bucket to Upload Nasdaq financial data to
17:08 Use Amazon Q Developer to write an IAM Policy for S3 access
22:00 Attach the Permission Set to the AWS Organization and User
23:33 Access IAM Identity Center short-lived credentials
26:00 Write a Python script to access the S3 bucket data with boto3
38:07 Video Wrap-Up

🤝 RESOURCES:
- Data from Nasdaq: [ Ссылка ]

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