AWS Lambda
Beginnerβs Guide to Writing AWS Lambda Functions in Python
- Beginning AWS Lambda Colab Notebook or colab link
- PowerPoint Slides
- Related Project Serverless Cookbook
Zero to One: AWS Lambda in Python and SAM
Hello World Build and Deploy
sam initsam buildsam deploy --guided
Deploy and Testing (Key Concepts)
Test two ways:
sam local invoke
sam local start-api
Then curl curl http://127.0.0.1:3000/hello
- API Gateway
- CloudWatch Logs
- IAM Security settings
Build a Serverless Data Engineering Pipeline Walkthrough
Functions are Units of Work: Input, Work, Return
Other Videos
- Learn to write an AWS Lambda Function in Python in Five Minutes:
Diagram
Pragmatic AI Labs
These notebooks and tutorials were produced by Pragmatic AI Labs. You can continue learning about these topics by:
- Get the latest content and updates from Pragmatic AI Labs: Subscribe to the mailing list!
- Buying a copy of Pragmatic AI: An Introduction to Cloud-Based Machine Learning
- Watching 8+ Hour Video Series on Safari: Essential Machine Learning and AI with Python and Jupyter Notebook
- Reading online with Safari: Pragmatic AI: An Introduction to Cloud-Based Machine Learning, First Edition
- Watching video Essential Machine Learning and AI with Python and Jupyter Notebook-Video-SafariOnline on Safari Books Online.
- Watching video AWS Certified Machine Learning-Speciality
- Watching learning path Essential Machine Learning and Pragmatic AI
- Purchasing video Essential Machine Learning and AI with Python and Jupyter Notebook- Purchase Video
- Purchasing video AWS Machine Learning Certification
- Register for an upcoming online training on Safari.
- Browsing Pragmatic AI Source Code
- Viewing more content at noahgift.com
- Viewing more content at Pragmatic AI Labs
- Viewing more content on the Pragmatic AI Labs YouTube Channel
- Reading content on Pragmatic AI Medium
- Hear more about the some of the topics covered in TWIML podcast
Additional Related Topics from Noah Gift
His most recent books are:
- Pragmatic A.I.: Β An introduction to Cloud-Based Machine Learning (Pearson, 2018)
- Python for DevOps (O'Reilly, 2020).Β
His most recent video courses are:
- Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
- AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
- Python for Data Science Complete Video Course Video Training (Pearson, 2019)
- AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
- Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
- Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
- Data Engineering with Python and AWS Lambda (Pearson, 2019)
His most recent online courses are: