{"id":16507817,"url":"https://github.com/noahgift/managed_ml_systems_and_iot","last_synced_at":"2025-05-09T02:37:38.732Z","repository":{"id":141812341,"uuid":"142620918","full_name":"noahgift/managed_ml_systems_and_iot","owner":"noahgift","description":"Managed Machine Learning Systems and Internet of Things Live Lesson","archived":false,"fork":false,"pushed_at":"2025-01-10T22:59:02.000Z","size":332,"stargazers_count":40,"open_issues_count":17,"forks_count":25,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-03-31T21:31:30.651Z","etag":null,"topics":["ai","automl","bigquery","cpu","deep-learning","deeplense","edge-computing","fpga","iot","machine-learning","managed","ml","movidius","python","safari","sagemaker","tpu","tutorial"],"latest_commit_sha":null,"homepage":"https://noahgift.github.io/managed_ml_systems_and_iot/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/noahgift.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"license.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-07-27T20:29:17.000Z","updated_at":"2025-03-03T10:29:24.000Z","dependencies_parsed_at":null,"dependency_job_id":"7b7cf65e-fc9c-4cec-a881-cfb6dbf1dd4c","html_url":"https://github.com/noahgift/managed_ml_systems_and_iot","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fmanaged_ml_systems_and_iot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fmanaged_ml_systems_and_iot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fmanaged_ml_systems_and_iot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fmanaged_ml_systems_and_iot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/noahgift","download_url":"https://codeload.github.com/noahgift/managed_ml_systems_and_iot/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253178679,"owners_count":21866587,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","automl","bigquery","cpu","deep-learning","deeplense","edge-computing","fpga","iot","machine-learning","managed","ml","movidius","python","safari","sagemaker","tpu","tutorial"],"created_at":"2024-10-11T15:30:53.075Z","updated_at":"2025-05-09T02:37:38.708Z","avatar_url":"https://github.com/noahgift.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Managed Machine Learning Systems and Internet of Things\n## Learn the building blocks of Managed ML and Hardware AI with Python\n\n![Managed ML](https://user-images.githubusercontent.com/58792/45260894-08e67a00-b3a8-11e8-941f-e539cb10f8e1.jpg)\n\n## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers\n\n### 🔥 Hot Course Offers:\n* 🤖 [Master GenAI Engineering](https://ds500.paiml.com/learn/course/0bbb5/) - Build Production AI Systems\n* 🦀 [Learn Professional Rust](https://ds500.paiml.com/learn/course/g6u1k/) - Industry-Grade Development\n* 📊 [AWS AI \u0026 Analytics](https://ds500.paiml.com/learn/course/31si1/) - Scale Your ML in Cloud\n* ⚡ [Production GenAI on AWS](https://ds500.paiml.com/learn/course/ehks1/) - Deploy at Enterprise Scale\n* 🛠️ [Rust DevOps Mastery](https://ds500.paiml.com/learn/course/ex8eu/) - Automate Everything\n\n### 🚀 Level Up Your Career:\n* 💼 [Production ML Program](https://paiml.com) - Complete MLOps \u0026 Cloud Mastery\n* 🎯 [Start Learning Now](https://ds500.paiml.com) - Fast-Track Your ML Career\n* 🏢 Trusted by Fortune 500 Teams\n\nLearn end-to-end ML engineering from industry veterans at [PAIML.COM](https://paiml.com)\n\n## Pragmatic AI Labs\n![Pragmatic AI Labs](https://paiml.com/images/logo_with_slogan_white_background.png)\n\nThese notebooks and tutorials were produced by [Pragmatic AI Labs](https://paiml.com/).  You can continue learning about these topics by:\n\n*   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)\n*   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/)\n*  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.\n* 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)\n*   Register for an [upcoming online training on Safari](https://www.safaribooksonline.com/search/?query=noah%20gift).\n*   Browsing [Pragmatic AI Source Code](https://github.com/noahgift/pragmaticai)\n*   Viewing more content at [noahgift.com](https://noahgift.com/)\n*   Viewing more content at [Pragmatic AI Labs](https://paiml.com/)\n\n### Colab Noteboks\n\nTitle:  **Managed Machine Learning Systems and Internet of Things**\n\nDescription:  *Learn the building blocks of Managed ML and Hardware AI with Python*\n\nCourse Dates:\n\n* [September 11 \u0026 12, 2018](https://www.safaribooksonline.com/live-training/courses/managed-machine-learning-systems-and-internet-of-things/0636920208303/)\n* [October 4 \u0026 5th, 2018](https://www.safaribooksonline.com/live-training/courses/managed-machine-learning-systems-and-internet-of-things/0636920216605/)\n* [November 1 \u0026 2, 2018](https://www.safaribooksonline.com/live-training/courses/managed-machine-learning-systems-and-internet-of-things/0636920216667/)\n\n* Day 1 (About 3 Hours):  **Hardware AI \u0026 Cloud-Native AI Platforms**\n\n  - Part A:  [Chips](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_Chips.ipynb)\n  - 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)\n  - Part C:  [Edge Machine Learning](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_Edge_Machine_Learning.ipynb)\n  - Part D:  [TensorFlow Russian Dolls](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/TensorFlow_RussianDolls.ipynb)\n\n* Day 2 (About 3 Hours):  **Managed ML \u0026 AutoML**\n\n  - Part D: [Managed ML \u0026 AutoML Overview](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_Overview_managed_ml_automl.ipynb)\n  - Part E: [AWS Managed ML \u0026 AutoML](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_AWS_managed_ml_automl.ipynb)\n  - Part F: [GCP Managed ML \u0026 AutoML](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_GCP_managed_ml_automl.ipynb)\n  - Part G: [Azure Managed ML \u0026 AutoML](https://github.com/noahgift/managed_ml_systems_and_iot/blob/master/PROD_AZURE_managed_ml_automl.ipynb)\n\nYou can also download notebooks here:  https://github.com/noahgift/managed_ml_systems_and_iot/tree/master/notebooks\n\n### References\n\n* [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)\n* [Forbes:  Cloud Native Machine Learning and AI](https://www.forbes.com/sites/forbestechcouncil/2018/07/05/cloud-native-machine-learning-and-ai/#34c136ab5397)\n* [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)\n\n### Text\nThe 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)\n\n[![DOI](https://zenodo.org/badge/142620918.svg)](https://zenodo.org/badge/latestdoi/142620918)\n\n### Additional Related Topics from Noah Gift\n\nHis most recent books are:\n\n*   [Pragmatic A.I.:   An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)\n*   [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X). \n\nHis most recent video courses are:\n\n*   [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)\n*   [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)\n*   [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)\n*   [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)\n*   [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)\n*   [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)\n*   [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)\n\nHis most recent online courses are:\n\n*   [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)\n*   [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fmanaged_ml_systems_and_iot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoahgift%2Fmanaged_ml_systems_and_iot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fmanaged_ml_systems_and_iot/lists"}