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 Codeberg for Public, and will host most repos privately (shared in courses as zip files). You can find new Public Repos on Codeberg: https://codeberg.org/noahgift
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.
- Introducing the Pragmatic AI Labs Platform
- Introduction the Pragmatic AI Labs Platform
- DevOps: من تويوتا إلى السحابة
- DevOps演进：从丰田到云计算
- Evolución DevOps: De Toyota a la Nube
- DevOps Evolution: From Toyota to the Cloud
- What is Amazon Bedrock?
- MLOps | Machine Learning Operations Specialization
- DevOps, DataOps, MLOps
- MLOps Platforms: Amazon SageMaker and Azure ML
- Open Source Platforms for MLOps
- Python Essentials for MLOps
- Python, Bash and SQL Essentials for Data Engineering Specialization
- Course1: Python and Pandas for Data Engineering
- Course2: Linux and Bash for Data Engineering
- 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 (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
Working with O'Reilly and AWS to write a book on building solutions on AWS with C#/.NET 6.
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
- 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
- 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 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.