Szkolenia Google Cloud

Cel szkolenia

kod: GC-T-VAIMLP-I | wersja: 1.0

This instructor-led one-day course is designed for engineers and data scientists familiar with machine learning models who want to become proficient in using Agent Platform for custom model workflows. This practical, hands-on course will provide you with a deep dive into the core functionalities of Agent Platform, enabling you to effectively leverage its tools and capabilities for your ML projects.

 

What you'll learn:

  • Understand the key components of Agent Platform and how they work together to support your ML workflows.
  • Configure and launch Agent Platform Custom Training and Hyperparameter Tuning Jobs to optimize model performance.
  • Organize and version your models using Agent Platform Model Registry for easy access and tracking.
  • Configure serving clusters and deploy models for online predictions with Agent Platform Endpoints.
  • Operationalize and orchestrate end-to-end ML workflows with Agent Platform Pipelines for increased efficiency and scalability.
  • Configure and set up monitoring on deployed modelsAudience AI practitioners, security professionals, and cloud architects.

 

Audience

Machine Learning Engineers, Data Scientists.

 

Products

  • Gemini Enterprise Agent Platform Workbench
  • Gemini Enterprise Agent Platform Managed Training
  • Gemini Enterprise Agent Platform Pipelines
  • Model Monitoring on Gemini Enterprise Agent Platform

Plan szkolenia Rozwiń listę

  • Module 1 - Training, Tuning, and Deploying Models on Agent Platform
    • Objectives:
      • Understand Containerized Training Applications
      • Understand Agent Platform Custom Training and Tuning Jobs
      • Understand how to track and version your trained models in Agent Platform Model Registry
      • Understand Online Deployment with Agent Platform Endpoints
  • Module 2 - Orchestrating end-to-end Workflows with Agent Platform Pipelines
    • Objectives:
      • Understand Kubeflow
      • Understand pre-built and lightweight Python components
      • Understand how to compile and execute pipelines on Agent Platform
  • Module 3 - Model Monitoring on Agent Platform
    • Objectives:
      • Understand Feature Drift and Skew
      • Understand Model Monitoring for models deployed to Agent Platform Endpoints
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Dodatkowe informacje

Wymagania wstępne

Experience building and training custom ML models. Familiar with Docker.
Poziom trudności
Czas trwania 1 dzień
Certyfikat

The participants will obtain certificates signed by Google Cloud (course completion).
Prowadzący

Authorized Google Cloud Trainer

Pozostałe szkolenia Google Cloud | Machine Learning and Artificial Intelligence

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

CENA SZKOLENIA OD 2500 PLN NETTO

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