The Complete Course of Boto3

Learn to create Amazon S3 buckets with the Boto3 library in Python, using both console setup and programmatic bucket creation with boto3.client('s3') and create_bucket.

Configure a region for an S3 bucket with a location constraint in boto3, create in us-west-1, rename if needed, and list all buckets with list_buckets.

Upload files to an s3 bucket with the s3 client by setting the file path, bucket name, and object key, then download the file using the download underscore file method.

Learn how pre-signed URLs in Amazon S3 grant temporary access to private objects using Boto3, by generating a time-limited URL for a bucket object.

Learn to host a static website on Amazon S3, serving HTML, CSS, and JS with a public bucket policy and index and error pages.

Learn how S3 versioning stores multiple object versions to protect data and enable recovery. Enable versioning with boto3, upload new objects, and revert or download previous versions.

Explore multipart upload with boto3 to transfer large files to S3 by breaking them into fixed-size parts, tracking the upload ID and ETag, and completing the upload.

Learn how to delete individual S3 objects and remove an entire bucket with Boto3, using list_objects_v2, delete_objects, and proper error handling.

Learn to create a DynamoDB table with Boto3, defining a users table with username as the hash key and last name as the range key, plus throughput.

Add, retrieve, and update items in a DynamoDB table using put item, get item, and update item, with username and last name as primary keys and age as an attribute.

Learn DynamoDB batch writing with Boto3's batch writer to perform up to 25 put, update, or delete operations in one atomic batch, demonstrating 20 items with unique partition keys.

Master the DynamoDB scan operation with boto3, reading all items and applying filter expressions for age comparisons. Learn to delete specific items or the whole table.

Learn how to use Amazon Web Services identity and access management to manage users with boto3, including creating, listing with a paginator, updating, and deleting users while enforcing least privilege.

Learn how AWS IAM policies define granular permissions with JSON documents, and use Boto3 to create and attach policies for CloudWatch logs and DynamoDB.

Learn how to manage AWS IAM access keys with boto3, including creating, listing, getting last used, and updating key status (active or inactive) for secure programmatic access.

Discover how Amazon SQS decouples and scales distributed systems with standard and FIFO queues, including visibility timeouts, retention, integration with AWS services, and queue creation with boto3.

send and receive messages in an SQS queue with boto3, serialize messages to json, configure queue URL and max messages, parse responses, and manage visibility timeout and deletion.

Explore AWS Key Management Service (KMS) basics, including customer master keys, encrypting data at rest in S3, EBS, and Redshift, encryption in transit, key rotation, envelope encryption, and CloudTrail auditing.

Generate a data key with AWS KMS, use the plaintext data key to encrypt data outside KMS, then store the encrypted data key with the encrypted data.

Explore Amazon SES basics for sending marketing, transactional, and notification emails with Boto3 in Python, including verified identities and high deliverability on a pay-as-you-go model.

Send plain text and html emails using Boto3 and SES, configuring UTF-8 charset, destinations, and message content. Call the send_email method to deliver the message with a subject and source.

send emails with attachments using boto3 by building a multipart message, attaching a pdf document, and sending with send_raw_email, handling destinations and response codes.

Explore Amazon CloudWatch, including dashboards, alarms, logs, and events, and learn to create log groups with Boto3 to monitor AWS resources effectively.

Create a CloudWatch log stream and send randomized log events to a specified log group, using sequence tokens, timestamps, and delays to simulate real-time logging.

Learn to read logs with boto3 by calling CloudWatch's get log events, specifying log group and stream names, using limit and start from head, then iterate over events to print.

Explore Amazon RDS, a managed relational database service that automates patching, backups, and upgrades, enables easy scaling and high availability with Multi-AZ, and secures databases in VPC for app development.

Create a boto3 RDS database instance with allocated storage, t2 micro class, MySQL engine, and admin credentials, then stop, start, and reboot the instance while monitoring status in RDS console.

Learn to create, describe, and delete RDS database snapshots with boto3. Name snapshots like snapshot backup one and export them to S3 via the AWS console.

Learn to restore an Amazon RDS database to a point in time with the restore database instance two point in time method, and apply maintenance actions using the resource identifier.

Explore AWS Glue, a serverless data integration service that automates ETL and auto-generates code for data transformation, enabling analytics, machine learning, and application development with data catalog, crawlers, and scheduler.

Create an IAM policy and role, attach the policy, create a bucket, then configure a boto3 Glue crawler with database and S3 target, and start it to populate data catalog.

Create and start a serverless AWS Glue job with Boto3, leveraging Apache Spark, defining the job name, role, and Python script in S3, then monitor the status.