Szkolenia Google Cloud

Cel szkolenia szkolenie zdalne - dlearning

kod: G-VAIMG | wersja: v1.0

Vertex AI Model Garden provides enterprise-ready foundation models, task-specific models, and APIs. Model Garden can serve as the starting point for model discovery for various different use cases. You can kick off a variety of workflows including using models directly, tuning models in Generative AI Studio, or deploying models to a data science notebook. In this class, after being introduced to Vertex AI as a machine learning platform through the lens of Model Garden. You will learn how to leverage pre-trained models as part of your machine learning workflow and how to fine-tune models for your specific applications.

Course objectives

  • Understand the model options available within Vertex AI Model Garden
  • Incorporate models in Vertex AI Model Garden in your machine learning workflows
  • Leverage foundation models for generative AI use cases
  • Fine-tune models to meet your specific needs


Machine learning practitioners who wish to leverage models available in Vertex AI Model Garden for various different use cases.

Plan szkolenia Rozwiń listę

  • Module 1 Vertex AI for ML Workloads
    • Vertex AI on Google Cloud
    • Options for training, tuning and deploying ML models on Vertex AI
    • Generative AI options on Google Cloud and Vertex AI
  • Module 2 Model Garden
    • Introduction to Model Garden
    • Model types in Model Garden
    • Connecting models from Gen AI Studio and Model Registry
    • Introduction to course use cases
  • Module 3 Task-specific Solutions: Content Classification
    • Pre-trained models for specific tasks
    • VertexAI AutoML
    • Using a pre-trained model via the Python SDK
    • Lab: Content Classification via Natural Language API and AutoML
  • Module 4 Foundation Models: Text Embeddings via PaLM
    • Introduction to foundation models
    • PaLM API
    • GenAI Studio
    • Using the Embeddings API
    • Lab: Use the PaLM API to Cluster Products Based on Descriptions
  • Module 5 Fine-tunable Models
    • Fine-tunable models in Model Garden
    • Vertex AI Pipelines
    • Demo: Fine-tuning models for your specific use case
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Dodatkowe informacje

Wymagania wstępne

To get the most out of this course, participants should have:

  • Prior completion "Machine Learning on Google Cloud" course or the equivalent knowledge of TensorFlow/Keras and machine learning.
  • Experience scripting in Python and working in Jupyter notebooks to create machine learning models.
Poziom trudności
Czas trwania 1 dzień

The participants will obtain certificates signed by Google Cloud.


Authorized Google Cloud Trainer.

Pozostałe szkolenia Google Cloud | AI and Machine Learning

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Informacje o przetwarzaniu danych przez Compendium – Centrum Edukacyjne Spółka z o.o.


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