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noahgift/README.md

Noah Gift 👋

What currently keeps me busy is working 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.

visual

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

📺 Latest YouTube Videos

YouTube Channel Subscribers

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

de-course

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.

Practical MLOps
Publisher: O'Reilly
Release Date: 2021

mlops-color

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

cloud-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.

Pinned

  1. [Book-2021] Practical MLOps O'Reilly Book

    Jupyter Notebook 294 107

  2. [Course-2020-2022] 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 75 47

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

    Jupyter Notebook 283 202

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

    Makefile 103 53

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

    Jupyter Notebook 271 177

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

    Jupyter Notebook 93 87

1,647 contributions in the last year

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