Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Noah Gift 👋
📺 Latest YouTube Videos
- 52 Weeks AWS: Episode 13-Solutions Architect Continued
- 52 Weeks of Swift: Episode 7-Closures
- 2 Weeks AWS: Episode 14-Solutions Architect Continued
- 52 Weeks of Swift: Episode 8-Enumerations
- 1 0 52 weeks swift functions
- 1 0 52 weeks aws solutions architect networking
- 52 Weeks of Swift: Episode 6-Functions
Foundations of Data Engineering (Specialization: 4 Courses)
Publisher: Coursera + Duke
Release Date: 2/1/2022
- 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 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
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