Working with AWS S3 Buckets using Python & boto3

Link

https://www.coursera.org/learn/working-with-aws-s3-buckets-using-python-boto3

Course Objectives

In this course, we are going to focus on three learning objectives:

• Creating AWS S3 Buckets, Uploading & Downloading objects programmatically.
• Multi-part File Transfer & Generating Pre-signed URLS.
• Setting up Bucket Policies & CORS configuration.

By the end of this course, you will be able to create, modify, manage, share objects in an AWS S3 bucket programmatically using Python. Course Structure

This course is divided into 3 parts:

• Course Overview: This introductory reading material.
• Working with AWS S3 buckets using Python & boto3: This is the hands on project that we will work on in Rhyme.
• Graded Quiz: This is the final assignment that you need to pass in order to finish the course successfully.

Project Structure

The hands on project on Working with AWS S3 Buckets using Python & Boto3 is divided into following tasks: Task 1: Introduction , Getting Credentials for Programmatic Access & Creating an AWS S3 Bucket Using Boto3 Python Task 2: Listing Buckets & Uploading Files to a AWS S3 bucket. Task 3: Downloading Files from an AWS S3 bucket. Task 4: Multi-Part File Transfer & Pre-Signed URLs Task 5: Configuring Bucket Policies Task 6: Setting up Buckets CORS Configuration

Step by Step

Now we will work with AWS S3 Buckets using Python & Boto3. We will accomplish it in by completing each task in the project:

• Introduction , Getting Credentials for Programmatic Access & Creating an AWS S3 Bucket Using Boto3 Python
• Listing Buckets & Uploading Files to an S3 bucket.
• Downloading Files from an AWS S3 bucket.
• Multi-Part File Transfer & Pre-Signed URLs.
• Configuring Bucket Policies.
• Setting up Buckets CORS Configuration.