Preface

This book is for Cloud Computing for Data at Duke University in 2023 by 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 what I have worked on in my career. I am a Rust Fanatic.

Related Duke Coursera Content

• You can find many related Coursera Courses at https://www.coursera.org/instructor/noahgift

🔭 I'm currently working on or just finished the following things below:

MLOps (Specialization: 4 Courses)

Publisher: Coursera + Duke

Release Date: 1/1/2023

• DevOps, DataOps, MLOps
• MLOps Platforms: Amazon SageMaker and Azure ML
• Open Source Platforms for MLOps
• Python Essentials for MLOps

Foundations of Data Engineering (Specialization: 4 Courses)

Publisher: Coursera + Duke

Release Date: 2/1/2022

• Python, Bash, and SQL Essentials for Data Engineering Specialization
• Course1: Python and Pandas for Data Engineering
• Course2: Linux and Bash for Data Engineering
  • Github Repos for Projects in Course
• Course3: Scripting with Python and SQL for Data Engineering
• Course4: Web Development and Command-Line Tools in Python for Data Engineering

AWS Certified Solutions Architect Professional exam (SAP-C01)

Publisher: Linkedin Learning

Release Date: January, 2021

• AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 1 Design for Organizational Complexity
• Microsoft Azure Data Engineering (DP-203): 2 Design and Develop Data Processing
• AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 2 Design for New Solutions

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.

• Developing on AWS with C#

Practical MLOps

Publisher: O'Reilly

Release Date: 2021

• Purchase Book
• Read Online
• Source Code

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

• Take the Specialization
• Cloud Computing Foundations
• Cloud Virtualization, Containers and APIs
• Cloud Data Engineering
• Cloud Machine Learning Engineering and MLOps

📫 How to reach me:

• Linkedin: https://www.linkedin.com/in/noahgift/
• Web: https://noahgift.com
• Pragmatic AI Labs: https://paiml.com
• Subscribe to the Pragmatic AI Labs YouTube Channel (New Content Weekly)

⚡ Fun facts: I was 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.