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[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

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Data Analysis at Scale in the Cloud

Course taught at Duke MIDS, Spring 2020-2022 by Noah Gift.

Guest Lecture 2022-Async

GPT 3:

Prequel Material

These resources could be helpful before starting this course.

Duke/Coursera: Foundations of Data Engineering Course (Launching early 2022)

Course1: Python and Pandas for Data Engineering

Course2: Linux and Bash for Data Engineering

Github Repos for Projects in Course
Week1: Using Linux
Week2: Using Bash
Week3: Building Bash Scripts
Week4: Composing File and Data Management Solutions with Linux

Course3: Python and SQL for Data Engineering

Course4: Building Data Engineering Solutions with Python for Web Applications, Command-Line Tools and Notebooks

Sequel Material

These resources could be helpful after starting this course.

Duke/Coursera: Applied Data Engineering Course (Launching late 2022)

Github Repos Referenced Duke Coursera Course

Course 1: Cloud Computing Foundations

Course 2: Cloud Computing Building Blocks

Lecture Topics:

Getting Started: [Week1]

Cloud Computing Foundations: [Week2]

Virtualization and Containers: [Week3 & Week 4]

Challenges and Opportunities in Distributed Computing: [Week 5 & Week 6]

Cloud Storage [Week 7 & Week 8]

Serverless [Week 9 & Week 10]

MLOps, Big Data and Edge Computer Vision [Week 11 & Week 12 & Week 13]

General

Student Example Projects

A practical guide to Data Science, Machine Learning Engineering and Data Engineering

Read Cloud Computing for Data Book cloud4data books

Free book Developing-on-AWS-with-CSharp Screenshot 2022-10-28 at 7 12 09 AM

Next Steps: Take Coursera MLOps Course

cloud-specialization

Text and Code License

The text and code content of notebooks and documents is released under the CC-BY-NC-ND license

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[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

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