Python Programming for AWS - Learn Python wi…

This ultimate course on Python Programming for AWS is for anyone who wants to learn Python programming and use their skills with AWS services. Designed for learners of all levels, this Python course will take you from the basics of python programming to advanced python programming topics.

Whether you're a beginner to Python programming, a seasoned developer looking to explore cloud computing, or an AWS user aiming to automate tasks, this Python course offers a step-by-step guide to mastering Python for the AWS Cloud.

The training provides a strong foundation in Python programming fundamentals and is packed with numerous opportunities for you to apply what you learn directly in the AWS cloud. This will help you build the confidence and skills you need to build your own applications on AWS.

COURSE CONTENT AND BENEFITS:

Learn Python coding fundamentals
Use Python with the AWS Boto3 SDK
Automate tasks with AWS Lambda
Work hands-on with Amazon S3, Amazon EC2, Amazon VPC, and Amazon RDS
Explore advanced services like Amazon You'll not only learn the concepts, but also apply them, preparing you for real-world challenges.
Stand out in today's competitive job market with these cutting edge development skills and learn how to leverage the latest AI technologies to increase development efficiency and accuracy.
REAL-WORLD USE CASES INCLUDE:
- Using the AWS Cloud9 IDE to write and manage code
- Configuring the Boto3 SDK with AWS Cloud9
- Performing CRUD operations with Amazon S3
- Managing EC2 instances through Python code
- Building and configuring VPCs using Python code
- Managing database services including Amazon Aurora Serverless
- Automating AWS service management through AWS Lambda
- Building applications with integration services such as Amazon SQS and SNS
- SecOps management through Python code
- Version control with AWS CodeCommit
- Using AI for Python development with ChatGPT
- Pair Programming with GitHub Copilot
By the end of the course, you'll receive a certificate of completion, validating your new skills and knowledge.
So, are you ready to solidify your Python coding skills and master the AWS cloud? Enroll now and start your journey to becoming a proficient Python AWS Cloud programmer.
Specializing in Python, SQL, Perl among other languages and has worked on diverse projects in data engineering. As a bootcamp instructor for Digital Cloud Training, he runs live training Python sessions as part of our Cloud Mastery Bootcamp, helping new developers learn programming using AWS services.
Neal Davis is a highly experienced AWS Cloud Solutions Architect and the founder of Digital Cloud Training. With over 20 years of hands-on experience in the Cloud space, Neal has become a trusted authority in teaching AWS - empowering students with the knowledge to excel in the world of cloud computing.
7-star instructor rating from over 150,000 reviews
Our students pass the AWS exam with an average score of over 85%

MONEY-

What's inside

Learning objectives

Learn python fundamentals
Use python with the aws boto3 sdk
Work hands-on with s3, ec2, vpc, and rds

Automate tasks with lambda
Explore advanced services like sns, sqs, ses, glue, emr
Discover how tools like chatgpt and github copilot can revolutionize your python development for the cloud

Learn python fundamentals
Use python with the aws boto3 sdk
Work hands-on with s3, ec2, vpc, and rds
Automate tasks with lambda
Explore advanced services like sns, sqs, ses, glue, emr
Discover how tools like chatgpt and github copilot can revolutionize your python development for the cloud

Syllabus

Let's Get Started

Welcome

Guidance on Starting the Course (Neal)

AWS Account Overview

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on experience with AWS services like S3, EC2, VPC, and RDS, which are essential for cloud engineers

Teaches how to automate AWS tasks with Lambda, a core skill for DevOps and cloud automation

Explores advanced AWS services like SNS, SQS, SES, Glue, and EMR, expanding the learner's knowledge of the AWS ecosystem

Uses the Boto3 SDK, which is the standard library for interacting with AWS services using Python

Includes lessons on using ChatGPT and GitHub Copilot for Python development, which are cutting-edge tools for increasing development efficiency

Requires learners to set up an AWS account, which may involve costs depending on usage beyond the free tier

Reviews summary

Practical python for aws automation

According to learners, this course provides a practical introduction to using Python with AWS, focusing heavily on the Boto3 SDK. Students appreciate the numerous hands-on labs that allow them to apply concepts directly to automating tasks on key AWS services like S3, EC2, Lambda, and RDS. While covering a wide range of services, some students feel the course offers a solid breadth of topics, making it a good starting point for those looking to automate AWS tasks using Python. The course also includes a review of Python fundamentals which is helpful for some.

Includes a section on basic Python.

"The review of Python fundamentals was helpful for someone like me who needed a refresher."

"If you are already strong in Python, the fundamentals section might be a bit slow."

"It touches upon basic Python concepts before diving into AWS."

Wide range of topics covered, some briefly.

"The course covers a lot of different AWS services, which is good for an overview."

"While the breadth is impressive, some topics could benefit from deeper dives."

"It's a great introduction, but for advanced use cases, you'll likely need additional resources."

Introduces Python automation for key services.

"It was great to see how to automate tasks on services like S3, EC2, and Lambda."

"The course covers automation for important AWS services using Python effectively."

"Learned how to manage VPC and RDS using Python scripts."

Detailed coverage of the AWS SDK for Python.

"Excellent explanation and usage examples for the Boto3 SDK."

"The course does a great job of teaching you how to use Boto3 to interact with AWS."

"Understanding the Boto3 library was a key takeaway from this course."

Practical exercises solidify understanding.

"The hands-on labs are incredibly valuable for applying what you learn."

"I really appreciated the practical exercises; they made the concepts stick."

"The [HOL] sections are essential for gaining real-world experience with AWS and Python."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Programming for AWS - Learn Python with AWS and Boto3 with these activities:

Review Python Fundamentals

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Reinforce your understanding of core Python concepts before diving into AWS integration. This will make grasping the Boto3 SDK and automating AWS tasks much easier.

Browse courses on Python Basics

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Review data types, operators, and control flow.
Practice writing simple functions and loops.
Work through online Python tutorials or exercises.

Review AWS Fundamentals

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Familiarize yourself with core AWS services and concepts. This will provide a solid foundation for using Python to interact with and automate AWS infrastructure.

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Review IAM, EC2, S3, and VPC concepts.
Understand the AWS Free Tier limitations.
Explore the AWS Management Console.

Boto3 CRUD Operations Practice

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Practice performing CRUD (Create, Read, Update, Delete) operations on S3 buckets using Boto3. This hands-on practice will solidify your understanding of the Boto3 SDK and its interaction with AWS services.

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Create an S3 bucket using Boto3.
Upload, download, and delete objects in the bucket.
Update object metadata using Boto3.

Four other activities

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Show all seven activities

Automate EC2 Instance Management

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Follow tutorials on automating EC2 instance management tasks using Python and Boto3. This will provide practical experience in automating infrastructure management on AWS.

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Find tutorials on starting, stopping, and terminating EC2 instances.
Implement the tutorial code and test it in your AWS environment.
Modify the code to handle different scenarios and error conditions.

Build a Simple AWS Cost Monitoring Tool

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Develop a Python script that uses Boto3 to retrieve and display AWS cost data. This project will reinforce your understanding of Boto3 and provide a practical application of Python for AWS management.

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Use Boto3 to access AWS Cost Explorer API.
Retrieve cost data for specific AWS services and time periods.
Display the cost data in a user-friendly format.
Add functionality to send cost alerts via email or SMS.

Blog Post: Python for AWS Automation

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Write a blog post summarizing your learnings and experiences using Python and Boto3 to automate AWS tasks. This will help solidify your knowledge and share your insights with others.

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Choose a specific AWS automation topic (e.g., EC2, S3, Lambda).
Write a clear and concise explanation of the topic.
Include code examples and screenshots to illustrate your points.
Publish the blog post on a personal blog or online platform.

Contribute to a Boto3-related Open Source Project

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Contribute to an open-source project that utilizes Boto3. This will give you experience working with real-world codebases and collaborating with other developers.

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Find a Boto3-related open-source project on GitHub.
Identify a bug or feature request to work on.
Submit a pull request with your changes.

Career center

Learners who complete Python Programming for AWS - Learn Python with AWS and Boto3 will develop knowledge and skills that may be useful to these careers:

AWS Developer

An AWS Developer builds applications and services on the AWS platform. This Python programming course helps develop the specific skills needed to interact with AWS services using Python through the Boto3 SDK. You'll learn to use Python to perform operations with S3, EC2, VPC, and RDS, and automate tasks with AWS Lambda. This course will also provide the foundational knowledge to build and manage infrastructure, making your journey as an AWS Developer that much easier. This course should be taken by every aspiring AWS Developer.

See salaries and explore the career path for AWS Developer

DevOps Engineer

DevOps Engineers focus on automating and streamlining the software development lifecycle. This Python programming course provides essential skills for a DevOps Engineer by teaching you how to use Python to manage and automate AWS infrastructure. The course covers practical applications such as automating EC2, S3, and RDS, configuring VPCs, and using Lambda for task automation. This enables you to implement infrastructure as code and improve deployment efficiency. A DevOps Engineer would find this course very useful due to its focus on Python automation.

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Cloud Engineer

A Cloud Engineer is responsible for designing, building, and maintaining cloud infrastructure. This Python programming course directly prepares you for this role by teaching you how to interact with AWS services like S3, EC2, VPC, and RDS using Python. The course emphasizes automation of tasks using AWS Lambda, a crucial skill for a Cloud Engineer. You will gain hands-on experience with AWS and Python, allowing you to manage and automate cloud resources. A Cloud Engineer should take this course to gain experience with both Python and AWS.

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Automation Engineer

An Automation Engineer designs and implements automated processes. This Python programming course directly helps with this by giving you the tools to automate AWS tasks using Python and AWS Lambda. The course provides a strong understanding of how to use Python with various AWS services, like S3, EC2, and RDS. This gives a strong foundation for automating cloud-based workflows. Any Automation Engineer wanting to explore cloud automation should take this course to start their journey.

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Cloud Solutions Architect

A Cloud Solutions Architect designs and plans cloud-based solutions for organizations. This Python course equips you with the ability to automate infrastructure and service deployments in AWS using Python. The course covers the practical use of Python to manage core services such as EC2, S3, and RDS, and also goes into advanced services including SQS, SNS, and Glue. This kind of hands-on knowledge is critical for a Cloud Solutions Architect. Taking this course will give a Cloud Solutions Architect experience with the practical side of designing cloud solutions.

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Software Developer

A Software Developer writes and tests code to develop software applications. Although this role may not always focus on cloud technologies, this Python programming course provides valuable skills in cloud computing and automation. The skills learned in this course provide the software developer with the skills to build cloud-aware applications while improving productivity and efficiency. The course’s focus on using Python with AWS allows a software developer to gain hands-on experience with cloud services. Taking this course can enhance a Software Developer's skillset.

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Systems Administrator

A Systems Administrator manages and maintains computer systems and networks. This Python programming course gives you the ability to automate common administrative tasks on AWS services with Python. You will learn how to manage and automate resources using Boto3, and how to leverage AWS Lambda. This course can serve as a springboard for a Systems Administrator looking to expand their cloud capabilities. Any Systems Administrator interested in cloud-based systems should take this course.

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Backend Developer

A Backend Developer focuses on building the server-side logic and databases for applications. This Python programming course helps you learn how to use Python with AWS services. You will gain the ability to manage databases with RDS and automate tasks with Lambda. In addition to core services, this course covers more advanced services including SQS and SNS. This course is useful for a Backend Developer that wants to expand their skills with AWS.

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Solutions Architect

A Solutions Architect designs and plans technology solutions for business problems. This Python programming course develops the ability to manage and automate AWS infrastructure using Python. The hands-on experience with AWS services, such as EC2, S3, and RDS, could prove helpful. This course may be useful for a Solutions Architect who wants to expand their cloud skills. A solutions architect interested in cloud automation should consider this course.

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Data Engineer

A Data Engineer is responsible for building and maintaining data infrastructure. While not primarily focused on data engineering, this Python programming course helps provide the ability to interact with AWS services using Python. You learn to use various AWS tools, including S3, Glue, and EMR. This course may be useful for Data Engineers who want to automate data workflows in AWS. A data engineer should consider this course to broaden their skills with the cloud and Python.

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Technical Consultant

A Technical Consultant provides technical expertise and guidance to clients. This Python programming course will help build a foundation of knowledge needed to advise on AWS solutions. The course focuses on using Python to interact with various AWS services and automate them. Learning to use Python with S3, EC2, and Lambda, you can offer improved cloud-computing knowledge to your clients. This course may be useful to a Technical Consultant looking to add cloud expertise.

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IT Specialist

An IT Specialist provides technical support and manages information technology systems. This Python programming course may help in learning to use Python for AWS tasks such as EC2, S3, and other AWS services. The course provides hands-on experience with these services. An IT Specialist may find this course helpful in learning to automate certain tasks using Python and cloud technologies. Consider taking this course to expand your skillset.

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System Analyst

A System Analyst examines and improves computer systems and processes. Though this role is not directly focused on automation, this Python programming course will provide hands-on experience with AWS services. You will learn to use the Boto3 SDK to automate cloud resources. This course may be useful for System Analysts who want to understand cloud-based solutions. A System Analyst interested in cloud technologies may find this course valuable.

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Technical Support Engineer

A Technical Support Engineer provides technical assistance to clients and customers. This Python programming course may be helpful in developing a technical understanding of AWS and automation. This course focuses on Python and its integration with AWS services, learning skills that could enable a support engineer to provide more informed assistance. A Technical Support Engineer looking to broaden their skills should consider this course.

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Database Administrator

A Database Administrator manages and maintains databases. This Python programming course touches on database management in AWS using RDS. The course covers basic database management using Python and also how to automate tasks with Lambda. This course may be useful for a Database Administrator who wants to understand cloud-based database solutions. A Database Administrator may wish to expand their knowledge by taking this course.

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