Intro_GCP_for_ML/config.yaml at main · qualiaMachine/Intro_GCP_for_ML · GitHub

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#------------------------------------------------------------
# Values for this lesson.
#------------------------------------------------------------

# Which carpentry is this (swc, dc, lc, or cp)?
# swc: Software Carpentry
# dc: Data Carpentry
# lc: Library Carpentry
# cp: Carpentries (to use for instructor training for instance)
# incubator: The Carpentries Incubator
#
# This option supports custom types so lessons can be branded
# and themed with your own logo and alt-text (see `carpentry_description`)
# See https://carpentries.github.io/sandpaper-docs/editing.html#adding-a-custom-logo
carpentry: 'incubator'

# Alt-text description of the lesson.
carpentry_description: 'Lesson Description'

# Overall title for pages.
title: 'Intro to Google Cloud Platform (GCP) for Machine Learning and AI'

# Date the lesson was created (YYYY-MM-DD, this is empty by default)
created: 2025-08-26

# Comma-separated list of keywords for the lesson
keywords: 'cloud, GCP, lesson, The Carpentries, ML, AI, GPU'

# Life cycle stage of the lesson
# possible values: pre-alpha, alpha, beta, stable
life_cycle: 'alpha'

# License of the lesson
license: 'CC-BY 4.0'

# Link to the source repository for this lesson
source: 'https://github.com/qualiaMachine/Intro_GCP_for_ML'

# Default branch of your lesson
branch: 'main'

# Who to contact if there are any issues
contact: 'endemann@wisc.edu'

# Navigation ------------------------------------------------
#
# Use the following menu items to specify the order of
# individual pages in each dropdown section. Leave blank to
# include all pages in the folder.
#
# Example -------------
#
# episodes:
# - introduction.md
# - first-steps.md
#
# learners:
# - setup.md
#
# instructors:
# - instructor-notes.md
#
# profiles:
# - one-learner.md
# - another-learner.md

# Order of episodes in your lesson
episodes:
- 01-Introduction.md
- 02-Notebooks-as-controllers.md
- 03-Data-storage-and-access.md
- 04-Training-models-in-VertexAI.md
- 05-Training-models-in-VertexAI-GPUs.md
- 06-Hyperparameter-tuning.md
- 07-Retrieval-augmented-generation.md
- 08-CLI-workflows.md
- 09-Resource-management-cleanup.md

# Information for Learners
learners:
- reference.md
- compute-for-ML.md
- uw-madison-cloud-resources.md
- github-pat.md

# Information for Instructors
instructors:

# Learner Profiles
profiles:

# Customisation ---------------------------------------------
#
# This space below is where custom yaml items (e.g. pinning
# sandpaper and varnish versions) should live