Boto3 Essentials – Automate AWS Cloud with Python Boto3

Set up environments to automate AWS with Python boto3 and AWS CLI. Discover authentication across machines, EC2, Lambda, apps using programmatic access keys, IAM roles, SSO, and web identity token.

Learn how to install boto3 and AWS CLI on Windows, verify Python and pip, upgrade boto3 to the latest version, and install AWS CLI version 2 via MSI with verification.

Learn to run Python boto3 scripts from a Windows machine using AWS CLI profiles and environment variables. Manage dev and prod accounts with profiles and avoid hardcoding programmatic access keys.

Learn to install Python, boto3, and aws cli on linux, verify Python and pip, and install boto3 with pip3. Then download and install aws cli v2 and verify the version.

Execute Python boto3 scripts from a local Linux machine by using AWS CLI profiles and credentials and config files, custom credential file, or environment variables for access keys and region.

Install python, boto3, and aws cli v2 on Mac, verify installations, and configure for boto3 automation.

Execute Python boto3 scripts on macOS by using AWS CLI configurations and profiles, with credentials and config files in ~/.aws, noting the same script runs on Windows and Linux.

Boto3 follows a strict credential priority: direct script credentials, then environment variables, then AWS CLI configuration, IAM roles, AWS SSO, and web identity tokens.

Learn how to use the official AWS SDK for Python, Boto3, to perform create, read, update, and delete operations with sessions, clients, resources, waiters, collections, and meta across AWS services.

Create a boto3 session to authenticate with AWS, using credentials or profiles (access keys), then build a client or resource for services like IAM, S3, or EC2.

Create client and resource objects from a boto3 session to interact with aws services, and learn when to use the client versus the resource for iam and ec2.

Explore the meta concept in boto3, where the meta attribute on client and resource objects exposes service name, region, api version, and endpoint, plus available operations.

Master exception handling in boto3 scripts with try and except and boto core exceptions. Identify profile not found or region not specified errors; read code and message from e.response.

Identify AWS resource identifiers and attributes, distinguishing immutable identifiers from mutable attributes. Learn to reference and modify resources with Boto3 scripts using examples like EC2 instance id and instance type.

Explore boto3 read operations for a single AWS resource, comparing client and resource approaches, and learn how get, list, and describe methods yield dictionaries or objects.

Create a Python boto3 client to fetch IAM user details using the get user method, demonstrating session creation, IAM client setup, and reading a single AWS resource.

Learn to add exception handling to a python boto3 client script with argparse, enabling any profile and IAM user, and gracefully handle client errors without crashing.

Build a boto3 resource script to fetch IAM user details by using the IAM resource and a user object for read operations on identifiers and attributes.

Learn to use a Python script in boto3 that identifies read methods (starting with get or list or describe) and create, update, and delete methods for a service like IAM.

Learn to fetch IAM role details with Python boto3 using client and resource scripts, including session and profile setup, and display role id, arn, created at, and permission boundary.

Learn to obtain the AWS account id by using a Python boto3 STS client and calling get_caller_identity, with a session profile and printing the account.

Develop a Python boto3 resource script to fetch EC2 instance details, including architecture, image id, key name, launch time, platform, public IP, and current state.

Fetch EC2 instance details with a boto3 client, use describe instances for an instance id, and parse the response to extract architecture, image id, state, and public IP address.

Learn how boto3 performs read, update, and delete operations for a single AWS resource, using waiter logic with client waiters and meta access, and returns results as dictionary.

Explore modifying an EC2 instance type with Python Boto3 resources, including reading the current type, stopping the instance, and using waiters to confirm the state change.

Learn to use boto3 waiters and create custom waiters to poll AWS resources, handling timeouts when EC2 instances stop, EBS volumes become available, and RDS or AMI readiness.

Develop an ec2 instance control script using boto3 resource to perform state, start, stop, reboot, and terminate actions with an instance id; use waiters for status transitions.

Learn how to control a single EC2 instance with a Boto3 EC2 client, executing start, stop, reboot and terminate operations using waiters to reach running or stopped states.

Learn to modify an EC2 instance type using the boto3 EC2 client, retrieving current type with describe_instances and applying modify_instance_attribute after handling instance state.

Learn how to perform Boto3 CRUD operations and waiters for a single AWS resource using client and resource interfaces, including create, read, update, delete, and handling identifiers, attributes, and actions.

Learn to launch an EC2 instance with a Boto3 client using run_instances, wait for it to reach running state with waiters, and retrieve its public IP via describe_instances.

Launch an EC2 instance with a boto3 resource, handle the create instances response to obtain the instance object, wait until running, reload the object, and read its public IP address.

Create an iam user and attach a policy using boto3 resource concepts. Handle existing users with exceptions, validate before attaching, and explore waiters from client or resource meta.

Learn to perform create, read, update, and delete operations on AWS resources with Boto3, handling known resource names or IDs and discovering unknown resources with paginator and filters.

Learn to retrieve details for multiple EC2 instances with boto3 client by passing a list of instance IDs to describe instances, enabling batching up to 1000 IDs per call.

Build a boto3 control script for known multiple EC2 instances using resource and client concepts, iterating over comma-separated IDs, with exception handling and start/stop/reboot/terminate logic.

Develop a Python boto3 script to create multiple IAM users and attach a policy to each, using a for loop to read and process multiple user names.

Discover how Boto3 performs read, update, and delete on unknown multiple AWS resources by discovering them with paginator and filters; create operations are not applicable.

Master listing all IAM users in a given AWS account with a boto3 client, and learn how to use paginator for unknown multiple AWS resources to fetch complete results.

Learn how boto3 uses paginators to fetch large results by splitting them into pages. See how to list all IAM users with a client, using markers to paginate across pages.

Identify if a Boto3 read method needs pagination by checking keys like max items, next token, or marker; if so, implement a loop to fetch all pages.

Learn how to use Python boto3 to list all EC2 instance types in a region with a read operation, including paginator logic for unknown numbers of resources.

List IAM roles in your AWS account and retrieve tags for a given IAM user using a boto3 client, highlighting read operations on unknown resources and the paginator approach.

Learn to list all IAM users in a specified IAM group using a boto3 IAM client, with a paginator that iterates pages via a marker and extracts each user's username.

Learn how to get IAM user details by user ID with boto3. List all users and filter by the ID to retrieve details when get_user accepts only a username.

Learn the two types of boto3 client paginator: custom and built-in default paginators, and how to paginate the IAM ListUsers method to fetch all pages with a response iterator.

Describe ec2 instances in a region with a boto3 ec2 client, using a paginator to fetch pages and display architecture, image id, key name, launch time, platform, ip, and state.

Automate EC2 discovery with a Python Boto3 client to generate a CSV report including instance id, state, instance type, architecture, and optional fields like security group id and key name.

Learn how Boto3 client filters narrow read results by conditions across AWS resources, with service-specific keys and examples for EC2, RDS, ELB, IAM, and S3.

Filter IAM users by path with a boto3 Python script, using the path prefix to list users under the DevOps path and compare default and custom paginators.

Develop a Boto3 client script to fetch EC2 instances by tag, state, and availability zone using describe_instances with pagination. Apply filters by state, type, zone, and tags.

Identify and list untagged EC2 instances with a python boto3 script by using describe instances and filtering for missing tags, highlighting tagging's role in auditing and resource grouping.

Learn to list or describe EC2 instances with a Boto3 resource, using region scope, the instances collection, and filters to discover untagged or tagged instances by tag keys and values.

Develop a boto3 resource script to list IAM users for a given group by creating an IAM resource, accessing the group object, and iterating the users collection to print usernames.

Discover how to update and delete unknown multiple AWS resources with boto3 by discovering instance IDs via describe instances and filters for an EC2 control script.

Learn to build an EC2 control script with the resource interface in boto3, filtering by a tag key/value to start, stop, reboot, or terminate targeted instances rather than all instances.

Learn how the dry run option in boto3 methods verifies IAM permissions without executing requests, using describe_instances as an example, and handling dryrun operation versus unauthorized exceptions.

Explore how Boto3 client responses return dictionaries or JSON for successful and failed operations, and how to handle client errors with e.response to extract error code, message, and request ID.

Develop a Python boto3 script to list S3 buckets and their names using resource and client concepts, with pagination support, a profile name, and exception handling.

List, download, and delete objects in an S3 bucket using boto3 by building a resource-based script, filtering with prefixes, and handling user input.

Develop and run two boto3 client scripts to list all EBS volumes using a paginator and then delete unused and untagged volumes with a volume deleted waiter.

Learn to manage EBS volumes with Boto3 by listing all EBS volumes, filtering unused and untagged volumes, and deleting them using EC2 resource and waiters.