https://github.com/noahgift/managed_ml_systems_and_iot
Managed Machine Learning Systems and Internet of Things Live Lesson
https://github.com/noahgift/managed_ml_systems_and_iot
ai automl bigquery cpu deep-learning deeplense edge-computing fpga iot machine-learning managed ml movidius python safari sagemaker tpu tutorial
Last synced: 2 months ago
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Managed Machine Learning Systems and Internet of Things Live Lesson
- Host: GitHub
- URL: https://github.com/noahgift/managed_ml_systems_and_iot
- Owner: noahgift
- License: other
- Created: 2018-07-27T20:29:17.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-01-10T22:59:02.000Z (3 months ago)
- Last Synced: 2025-01-26T05:11:12.267Z (3 months ago)
- Topics: ai, automl, bigquery, cpu, deep-learning, deeplense, edge-computing, fpga, iot, machine-learning, managed, ml, movidius, python, safari, sagemaker, tpu, tutorial
- Language: Jupyter Notebook
- Homepage: https://noahgift.github.io/managed_ml_systems_and_iot/
- Size: 324 KB
- Stars: 39
- Watchers: 11
- Forks: 25
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- License: license.md
Awesome Lists containing this project
README
# Managed Machine Learning Systems and Internet of Things
## Learn the building blocks of Managed ML and Hardware AI with Python
## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers
### 🔥 Hot Course Offers:
* 🤖 [Master GenAI Engineering](https://ds500.paiml.com/learn/course/0bbb5/) - Build Production AI Systems
* 🦀 [Learn Professional Rust](https://ds500.paiml.com/learn/course/g6u1k/) - Industry-Grade Development
* 📊 [AWS AI & Analytics](https://ds500.paiml.com/learn/course/31si1/) - Scale Your ML in Cloud
* ⚡ [Production GenAI on AWS](https://ds500.paiml.com/learn/course/ehks1/) - Deploy at Enterprise Scale
* 🛠️ [Rust DevOps Mastery](https://ds500.paiml.com/learn/course/ex8eu/) - Automate Everything
### 🚀 Level Up Your Career:
* 💼 [Production ML Program](https://paiml.com) - Complete MLOps & Cloud Mastery
* 🎯 [Start Learning Now](https://ds500.paiml.com) - Fast-Track Your ML Career
* 🏢 Trusted by Fortune 500 Teams
Learn end-to-end ML engineering from industry veterans at [PAIML.COM](https://paiml.com)
## Pragmatic AI Labs
These notebooks and tutorials were produced by [Pragmatic AI Labs](https://paiml.com/). You can continue learning about these topics by:
* Buying a copy of [Pragmatic AI: An Introduction to Cloud-Based Machine Learning](http://www.informit.com/store/pragmatic-ai-an-introduction-to-cloud-based-machine-9780134863863)
* Reading online with Safari: [Pragmatic AI: An Introduction to Cloud-Based Machine Learning, First Edition](https://www.safaribooksonline.com/library/view/pragmatic-ai-an/9780134863924/)
* Watching video [Essential Machine Learning and AI with Python and Jupyter Notebook-Video-SafariOnline](https://www.safaribooksonline.com/videos/essential-machine-learning/9780135261118) on Safari Books Online.
* Purchasing video [Essential Machine Learning and AI with Python and Jupyter Notebook- Purchase Video](http://www.informit.com/store/essential-machine-learning-and-ai-with-python-and-jupyter-9780135261095)
* Register for an [upcoming online training on Safari](https://www.safaribooksonline.com/search/?query=noah%20gift).
* Browsing [Pragmatic AI Source Code](https://github.com/noahgift/pragmaticai)
* Viewing more content at [noahgift.com](https://noahgift.com/)
* Viewing more content at [Pragmatic AI Labs](https://paiml.com/)
### Colab Noteboks
Title: **Managed Machine Learning Systems and Internet of Things**
Description: *Learn the building blocks of Managed ML and Hardware AI with Python*
Course Dates:
* [September 11 & 12, 2018](https://www.safaribooksonline.com/live-training/courses/managed-machine-learning-systems-and-internet-of-things/0636920208303/)
* [October 4 & 5th, 2018](https://www.safaribooksonline.com/live-training/courses/managed-machine-learning-systems-and-internet-of-things/0636920216605/)
* [November 1 & 2, 2018](https://www.safaribooksonline.com/live-training/courses/managed-machine-learning-systems-and-internet-of-things/0636920216667/)
* Day 1 (About 3 Hours): **Hardware AI & Cloud-Native AI Platforms**
- Part A: [Chips](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_Chips.ipynb)
- Part B: [Cloud-Native Hardware AI Platforms](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_cloud_native_hardware_ai_platform.ipynb)
- Part C: [Edge Machine Learning](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_Edge_Machine_Learning.ipynb)
- Part D: [TensorFlow Russian Dolls](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/TensorFlow_RussianDolls.ipynb)
* Day 2 (About 3 Hours): **Managed ML & AutoML**
- Part D: [Managed ML & AutoML Overview](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_Overview_managed_ml_automl.ipynb)
- Part E: [AWS Managed ML & AutoML](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_AWS_managed_ml_automl.ipynb)
- Part F: [GCP Managed ML & AutoML](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_GCP_managed_ml_automl.ipynb)
- Part G: [Azure Managed ML & AutoML](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_AZURE_managed_ml_automl.ipynb)
You can also download notebooks here: https://github.com/noahgift/managed_ml_systems_and_iot/tree/master/notebooks
### References
* [Forbes: How Vertically Integrated AI Stacks Will Affect IT Organizations](https://www.forbes.com/sites/forbestechcouncil/2018/11/02/how-vertically-integrated-ai-stacks-will-affect-it-organizations/#7a2f6f691713)
* [Forbes: Cloud Native Machine Learning and AI](https://www.forbes.com/sites/forbestechcouncil/2018/07/05/cloud-native-machine-learning-and-ai/#34c136ab5397)
* [Forbes: Why There will Be No Data Science Job Titles in 2029](https://www.forbes.com/sites/forbestechcouncil/2019/02/04/why-there-will-be-no-data-science-job-titles-by-2029/#6cd8ed793a8f)
### Text
The text content of notebooks is released under the [CC-BY-NC-ND license](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/license.md)
[](https://zenodo.org/badge/latestdoi/142620918)
### Additional Related Topics from Noah Gift
His most recent books are:
* [Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)
* [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X).
His most recent video courses are:
* [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)
* [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)
* [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)
* [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)
* [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)
* [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)
* [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)
His most recent online courses are:
* [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)
* [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)