Course taught at Duke MIDS, Spring 2020-2022 by Noah Gift.
- This is the course syllabus.
- These are the projects in the course
- This the week by week calendar
- This is the rubric for grading assignments
- This is the grading for the course
- This is the FAQ
- A complete online book with screencast videos is available here.
- Coursera Course, Building Cloud Computing Solutions at Scale Specialization, can be found here: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scale
- π€ Master GenAI Engineering - Build Production AI Systems
- π¦ Learn Professional Rust - Industry-Grade Development
- π AWS AI & Analytics - Scale Your ML in Cloud
- β‘ Production GenAI on AWS - Deploy at Enterprise Scale
- π οΈ Rust DevOps Mastery - Automate Everything
- πΌ Production ML Program - Complete MLOps & Cloud Mastery
- π― Start Learning Now - Fast-Track Your ML Career
- π’ Trusted by Fortune 500 Teams
Learn end-to-end ML engineering from industry veterans at PAIML.COM
These resources could be helpful before starting this course.
- Lesson 1: Create and Use .bashrc
- Lesson 2: Sourcing shell variables from a script
- Lesson3: Using stdout and stdin
- Lesson 1: Build a for loop in Bash
- Lesson 2: Truncate large files with Bash
- Lesson 3: Building a command-line tool for data processing
- Lesson 4: Build Bash CLI with options
- Lesson 1: Understand the search commands
- Lesson 2: Setting permissions
- Lesson 3: Using regex to process text from file
- Lesson 4: Search the filesystem with find
Course4: Building Data Engineering Solutions with Python for Web Applications, Command-Line Tools and Notebooks
These resources could be helpful after starting this course.
- Practice Markdown
- Github Actions-Pytest
- Google App Engine Continuous Delivery
- Hello World Flask
- Hugo Continuous Delivery on AWS
- Lint Dockerfile
- [Flask Change Microservice]
Read Cloud Computing for Data Book cloud4data books
Free book Developing-on-AWS-with-CSharp Screenshot 2022εΉ΄10ζ28ζ₯ at 7 12 09 AM
- Take the Specialization
- Cloud Computing Foundations
- Cloud Virtualization, Containers and APIs
- Cloud Data Engineering
- Cloud Machine Learning Engineering and MLOps
The text and code content of notebooks and documents is released under the CC-BY-NC-ND license