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Noah Gift 👋

Two Elite Master’s Degrees Worth of edX Programs 👇

NOTE: All code in GitHub in all repos and organizations is licensed ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 4.0 INTERNATIONAL and this license supercedes any stated license in individual repos. Training AI models on source code is prohibited. Due to my ethical, security and leadership concerns about Microsoft, OpenAI, and Copilot I am migrating OFF GitHub to GitLab for Public, and will host most repos privately (shared in courses as zip files). You can find new Public Repos on Gitlab:

What currently keeps me busy is working as the founder of ✨Pragmatic AI Labs which builds courses on edX and as an Executive in Residence at the Duke MIDS (Data Science) and Duke AI Product Management program and as a consultant and author in Cloud Computing, Big Data, DevOps, and MLOps. The following visual resume is a good idea to show the kinds of things I have worked on in my life. I am a Rust Fanatic.


🔭 I’m currently working on or just finished the following things below.

📺 Latest YouTube Videos

YouTube Channel Subscribers

MLOps (Specialization: 4 Courses)
Publisher: Coursera + Duke
Release Date: 1/1/2023
Foundations of Data Engineering (Specialization: 4 Courses)
Publisher: Coursera + Duke
Release Date: 2/1/2022


AWS Certified Solutions Architect Professional exam (SAP-C01)

Publisher: Linkedin Learning

Release Date: January, 2021

AWS w/ C#
Publisher: O'Reilly
Release Date: 2022 (Reinvent 2022 Target)

Working with O'Reilly and AWS to write a book on building solutions on AWS with C#/.NET 6. c#book

Practical MLOps
Publisher: O'Reilly
Release Date: 2021


Cloud Computing (Specialization: 4 Courses)
Publisher: Coursera + Duke
Release Date: 4/1/2021

Building Cloud Computing Solutions at Scale Specialization Launch Your Career in Cloud Computing. Master strategies and tools to become proficient in developing data science and machine learning (MLOps) solutions in the Cloud

What You Will Learn
  • Build websites involving serverless technology and virtual machines, using the best practices of DevOps
  • Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions
  • Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP
Courses in Specialization


📫 How to reach me:

⚡ Fun facts: I was as a bouncer in college with former UFC Champion Chuck Liddell. Early in my career I worked on the movie Avatar while living in New Zealand. I used to play basketball with Adam Sandler at lunch when I worked at Sony Imageworks in Los Angeles, CA.

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  1. paiml/practical-mlops-book paiml/practical-mlops-book Public

    [Book-2021] Practical MLOps O'Reilly Book

    Jupyter Notebook 679 275

  2. cloud-data-analysis-at-scale cloud-data-analysis-at-scale Public

    [Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

    Jupyter Notebook 127 86

  3. paiml/python_devops_book paiml/python_devops_book Public

    [Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation

    Jupyter Notebook 450 328

  4. pragmaticai pragmaticai Public

    [Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

    Makefile 126 58

  5. functional_intro_to_python functional_intro_to_python Public

    [tutorial]A functional, Data Science focused introduction to Python

    Jupyter Notebook 297 193

  6. aws-ml-guide aws-ml-guide Public

    [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

    Jupyter Notebook 118 101