Weekly Course Schedule – Summer 2024

IS597 - MLC - Machine Learning Pipelines Using Cloud-Based Platforms

Meets Wednesday Evenings Online

Week 7 (June 24 – June 30)

Wednesday, June 26 (6:00 P.M. – 8:00 P.M., Zoom) Class Session 6
Topics	Building Pipelines For Machine Learning
In-Class Activities	Review solutions to prior assignments from prior week. Lecture: Building Pipelines For Machine Learning Demo: Machine Learning Pipelines Example Breakout Activity: TBA
Required Readings	Géron – Chapter 2 (End-to-End Machine Learning Project)
Optional Readings	IBM (2024). What is a machine learning pipeline?
Other Resources	Slides for Building ML Pipelines lecture Mind Map: What is a ML Pipeline Demo project for Building ML Pipelines This is a cleaned-up version of the project that I used to do the demo during class. You can open it up and view it using PyCharm. Or, you can upload the files to an AWS SageMaker Notebook Instance and run the project on AWS.

Friday, June 28 (2:00 P.M. – 3:00 P.M., Zoom) Optional Session
Lab Session	On Friday afternoons from 2:00 PM till 3:00 PM, we will be holding an optional Lab Session using Zoom. Please drop by to ask a question, to discuss solutions to previous assignments, to get help with the current assignment, to discuss the final project, or just to say hello. Please use a headset while participating.

Tuesday, July 2, @ 11:55 P.M.
Weekly Assignments Deadline

Written Assignments Due

Final Project Proposal
Description: The Final Project Proposal is a planning document for your Final Project. Please see the Instructions (below) for more details.

Coding Assignments Due

Building ML Pipelines Assignment
Description: In this assignment, you will build a machine learning pipeline. In this assignment, the entire workflow will be implemented in a single Jupyter Notebook. You will be running your notebook in an AWSALL SageMaker Notebook Instance. Later, you will be able to adopt this approach for use in your Final Project.