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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:
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Learn Python coding fundamentals
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Use Python with the AWS Boto3 SDK
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Automate tasks with AWS Lambda
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Work hands-on with Amazon S3, Amazon EC2, Amazon VPC, and Amazon RDS
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Explore advanced services like Amazon SNS, SQS, SES, AWS Glue, and Amazon EMR
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Discover how tools like ChatGPT and GitHub Copilot can revolutionize your Python development for the cloud
REAL-WORLD APPLICATIONS AND OPPORTUNITIES:
With over 10 hours of content, this Python course blends theoretical knowledge with hands-on lessons and real-world examples. 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:
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Using the AWS Cloud9 IDE to write and manage code
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Configuring the Boto3 SDK with AWS Cloud9
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Performing CRUD operations with Amazon S3
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Managing EC2 instances through Python code
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Building and configuring VPCs using Python code
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Managing database services including Amazon Aurora Serverless
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Automating AWS service management through AWS Lambda
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Building applications with integration services such as Amazon SQS and SNS
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SecOps management through Python code
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Version control with AWS CodeCommit
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Using AI for Python development with ChatGPT
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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!
PREVIEW THIS COURSE
There are many FREE previews so you get to explore the course content firsthand and make an informed decision.
YOUR INSTRUCTORS
Eric Huerta is a software engineer and certified AWS Solutions Architect. 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.
OUR SUCCESS IN NUMBERS
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Over 500,000 students enrolled in our AWS courses on Udemy
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4.7 Star instructor ratings from over 100,000 reviews
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Our students pass the AWS exam with an average score of over 85%
MONEY-BACK GUARANTEE
We are totally confident in the value of our Udemy Python Programming for AWS training which comes with a 30-day unconditional money-back guarantee.
AWS Fundamentals [OPTIONAL]
Python Fundamentals
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10Introduction to AWS Fundamentals Section
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11AWS IAM Overview
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12[HOL] Setup Individual User Account
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13Amazon Elastic Compute Cloud (EC2)
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14[HOL] Launch EC2 Instances (Windows + Linux)
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15[HOL] EC2 Instance Connect and SSH
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16[HOL] RDP to Windows Instance
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17Accessing Services – Access Keys and IAM Roles
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18[HOL] Access Keys and IAM Roles
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19Amazon VPC Overview
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20[HOL] Create a Custom VPC
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21Amazon S3 Overview
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22[HOL] Amazon S3 Buckets and Objects
AWS Services using Python
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23Introduction to Python Fundamentals Section
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24What is Python?
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25Commenting Code
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26Print Function
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27Variables
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28Variables
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29Data Types
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30Operators
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31Conditional Statements
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32Lists
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33Dictionaries
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34Loops
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35Functions
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36[HOL] Functions
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37Exception Handling
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38[HOL] Exception Handling
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39Debugging
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40Python Fundamentals Next Steps
Automating AWS Tasks with Lambda Functions
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41Introduction to AWS Services using Python
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42Introduction to AWS Boto3 SDK
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43Exploring the Boto3 Documentation
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44[HOL] Configuring Boto3 within AWS Cloud9
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45S3: CRUD Operations and Boto3
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46[HOL] S3 Hands-on Lab
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47EC2: Basics, Launching, and Management
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48[HOL] EC2 Hands-on Lab
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49VPC: Basics, Creation, and Management
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50[HOL] VPC Hands-on Lab Part 1
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51[HOL] VPC Hands-on Lab Part 2
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52RDS: Basics, Aurora Serverless, DB Management
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53[HOL] RDS Hands-on Lab Part 1
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54[HOL] RDS Hands-on Lab Part 2
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55AWS Services using Python Next Steps
Advanced AWS and Python topics
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56Introduction to AWS Automation with Python
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57Introduction to AWS Lambda
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58[HOL] Updating Cloud9 Python Version
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59Creating a Lambda Function and Importing it into Cloud9
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60Automating EC2 with Lambda
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61[HOL] Automating EC2 with Lambda Hands-on Lab Part 1
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62[HOL] Automating EC2 with Lambda Hands-on Lab Part 2
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63Automating S3 with Lambda
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64[HOL] Automating S3 with Lambda Hands-on Lab Part 1
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65[HOL] Automating S3 with Lambda Hands-on Lab Part 2
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66[HOL] Automating S3 with Lambda Hands-on Lab Part 3
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67Automating RDS with Lambda
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68[HOL] Automating RDS with Lambda Hands-on Lab Part 1
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69[HOL] Automating RDS with Lambda Hands-on Lab Part 2
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70[HOL] Automating RDS with Lambda Hands-on Lab Part 3
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71Automating VPC with Lambda
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72[HOL] Automating VPC with Lambda Hands-on Lab Part 1
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73[HOL] Automating VPC with Lambda Hands-on Lab Part 2
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74Lambda and Python: Next Steps
Leveraging Tools for Python and AWS Development
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75Introduction to Advanced AWS Services
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76Understanding and Using SNS, SQS, and SES with Python
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77[HOL] SNS and SQS Hands-on Lab Part 1
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78[HOL] SNS and SQS Hands-on Lab Part 2
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79Understanding and Using Glue and EMR with Python
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80[HOL] AWS Glue and EMR Hands-on Lab Part 1
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81[HOL] AWS Glue and EMR Hands-on Lab Part 2
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82Managing and Automating AWS Security with Python
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83[HOL] Automated Security Auditing Hands-on Lesson
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84Advanced AWS and Python Topics Next Steps
Additional Training
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85Introduction to Leveraging Tools for Python and AWS Development
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86[HOL] Version Control with AWS CodeCommit
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87[HOL] ChatGPT as a Python Development Tool for the Cloud
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88[HOL] Pair Programming with GitHub Copilot
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89Leveraging Tools for Python and AWS Development Next Steps
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90Course Completion Next Steps
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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