GoogleCloudPlatform/asl-ml-immersion resource

Health v2 · maintenance only

Adoption not part of the score

2596 stars · 1521 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

learning-resource · maturity active

machine-learning deep-learning llm-training agent-framework data-science machine-learning deep-learning artificial-intelligence large-language-models cloud-computing tutorials python cloud google-cloud tensorflow keras pytorch vertex-ai mlops kubeflow gemini generative-ai jupyter-notebooks bootcamp labs-and-solutions ai-agents gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="GoogleCloudPlatform/asl-ml-immersion")