# GoogleCloudPlatform/asl-ml-immersion

Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.

Repository: https://github.com/GoogleCloudPlatform/asl-ml-immersion
Canonical: https://ross.abutalabs.com/products/asl-ml-immersion
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: google-cloud-platform, machine-learning, tensorflow, adk, agents, generative-ai, adk-pyth
Last push: 2026-08-20T22:18:02+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 66, longevity 100
- inputs: {"age_days": 2273, "days_push": 13, "days_rel": 231, "gap_med": 0, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2596, forks 1521 (observed 2026-08-28T04:07:03.175605+00:00)

## What it is
A collection of Jupyter notebooks, code samples, and labs from Google Cloud's Advanced Solutions Lab covering machine learning, MLOps, and generative AI on Google Cloud. It is organized into three modules: core ML architectures in TensorFlow/Keras, MLOps tooling on Google Cloud's Agent Platform, and generative AI/agents with Gemini and Google ADK.

## Use cases
- learn machine learning on google cloud
- train and serve tensorflow models on vertex ai
- build mlops pipelines with kubeflow
- get started with gemini and google adk agents
- practice ml concepts with lab notebooks and solutions
- learn transformer and cnn model architectures
- operationalize scikit-learn and pytorch models at scale

## When to choose
- you want hands-on Google Cloud ML and GenAI training materials with labs and solutions
- you need reference notebooks for Vertex AI, Kubeflow, or ADK agent development
- you are running an ML bootcamp or self-study curriculum on GCP

## When to avoid
- you need a production-ready ML library rather than educational notebooks
- you do not use Google Cloud and want cloud-agnostic tutorials
- you need a framework to install as a dependency in your own application

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, llm-training, agent-framework, data-science
- domain: machine-learning, deep-learning, artificial-intelligence, large-language-models, cloud-computing, tutorials
- platform: python, cloud
- tags: google-cloud, tensorflow, keras, pytorch, vertex-ai, mlops, kubeflow, gemini, generative-ai, jupyter-notebooks, bootcamp, labs-and-solutions, ai-agents, gpu

## Member repositories
- GoogleCloudPlatform/asl-ml-immersion (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:03.175605+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:22:13.720181+00:00, confidence not recorded.
  - readme: https://github.com/GoogleCloudPlatform/asl-ml-immersion (fetched 2026-08-28T04:07:03.175605+00:00, sha 71937eef7d67)
- Data as of 2026-08-30T08:39:29.467469+00:00.