Template for AWS Projects

1. First thing to do on launch is to open a new shell and verify virtualenv is sourced.

Things included are:

• Makefile

• Pytest

• pandas

• Pylint

• Dockerfile

• GitHub copilot

• jupyter and ipython

• Most common Python libraries for ML/DL and Hugging Face

• githubactions

Used in Following Projects

• coursera-mlops-aws-c3-step-functions
• coursera-mlops-aws-c3-eda
• coursera-mlops-aws-c3-linear-regression
• coursera-mlops-aws-c30fine-tune-sagemaker-studio-lab

References

• Watch GitHub Universe Talk: Teaching MLOps at scale with Github
• Building Cloud Computing Solutions at Scale Specialization
• Python, Bash and SQL Essentials for Data Engineering Specialization
• Implementing MLOps in the Enterprise
• Practical MLOps: Operationalizing Machine Learning Models
• Coursera-Dockerfile