
Create an IAM user with programmatic access, grant admin permissions, and configure the generated access key id and secret key for the AWS CLI and boto3 on the MacBook.
Install python 3.x and the PyCharm IDE on mac os, then install boto3 with pip3 and create a new PyCharm project configured with a python 3.x interpreter.
Master Python fundamentals for scripting with practical examples covering variables, input, formatting, data types, lists, dictionaries, sets, exception handling, control flow, loops, and functions using PyCharm.
Learn to filter EC2 instances with boto3 by state and tags, returning only running instances or those with env prod, using describe-instances filters.
Learn to automate EBS snapshots with Boto3 in Python by filtering for backup-tagged instances, creating volume snapshots, and sending email notifications via SNS.
Learn how to delete EBS snapshots older than 15 days using Boto3, by iterating over EC2 snapshots, checking start time, and invoking the delete operation.
This video covers, how to take AMI of EC2 instances in one region and copy them to a different region, this example also includes boto3 waiters concept
Explore serverless architecture with AWS Lambda, run code with zero server maintenance, pay only for execution, and enable built-in high availability and auto scaling for event-driven processing and backend APIs.
Learn how alias names in lambda point to specific versions, so production updates require reassigning the alias instead of changing cloudwatch events. Deploying new versions abstracts modifications to event source.
Learn how lambda layers manage external Python dependencies in AWS Lambda, using a shared layer for packages like requests to avoid duplicated dependencies and minimize S3 footprint.
Encrypt sensitive environment variables with a custom AWS KMS key, decrypt them in Lambda using boto3, and securely send Slack notifications, covering encryption in transit and at rest.
Learn to automatically process json files uploaded to S3 and store their data in DynamoDB using Python Lambda with boto3, including IAM role setup, CloudWatch logs, and S3 event triggers.
Trigger a lambda function on a CSV upload to S3 and persist parsed records to DynamoDB, demonstrating a boto3-driven, event-driven pipeline from S3 to DynamoDB using Python.
Learn to identify and remove unused AMIs in your AWS account using Python and boto3, by listing in-use images, filtering available custom AMIs, and deregistering unused ones.
Create a DynamoDB table with a partition key (primary key) and optional sort key, set provisioned capacity, and explore items and attributes with a dynamic schema using Boto3.
Learn to list all objects in an S3 bucket with boto3 in Python by using the list objects method and printing each object's key from the response contents.
Learn to list all buckets with boto3, iterating the response dictionary to extract and print each bucket name.
This course is designed to help you master the fundamentals of Boto3 and AWS Lambda, empowering you to create dynamic, real-time solutions in the AWS cloud. With a hands-on approach, you'll learn how to effectively use the Boto3 library and Lambda functions to automate tasks and build powerful workflows.
Through a variety of step-by-step examples, you'll gain practical experience in tackling real-world challenges, from managing AWS resources to creating operational automation.
You'll also learn to navigate and utilize the Boto3 documentation, equipping you with the skills to write robust, reusable code to automate virtually any task in AWS. This course provides insights into best practices, tips, and tricks for optimizing automation workflows. Whether you're a developer, sysadmin, or cloud enthusiast, this course will elevate your AWS skills, making you more efficient and confident in leveraging the power of automation. By the end of the course, you'll be ready to design solutions that save time, reduce errors, and improve productivity.
I have added use cases that I implemented in my projects, showcasing real-world applications of Boto3 and AWS Lambda. These examples are designed to help you better understand how to leverage these powerful tools for automating and optimizing AWS workflows. Each use case is explained in detail, with step-by-step instructions that allow you to replicate the solutions in your own projects.