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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. I am a Rust Fanatic.
๐บ Latest YouTube Videos
- Rust for MLOps with Amazon Sagemaker
- Using VS Code, Copilot and Codespaces to Level Up to Rust from Python
- Rust Distroless PyTorch Computer Vision Microservice Walkthrough
- Assimilate-Go
- Assimilate-Zig
- Assimilate-Bash
- Assimilate-Haskell
MLOps (Specialization: 4 Courses)
Publisher: Coursera + Duke
Release Date: 1/1/2023
- 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
- 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.
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
- Take the Specialization
- Cloud Computing Foundations
- Cloud Virtualization, Containers and APIs
- Cloud Data Engineering
- Cloud Machine Learning Engineering and MLOps
- 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)