Training Google Cloud

Training goals

code: GC-VAIMLP | version: v1.0

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 Vertex AI for custom model workflows. This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.

 

What you'll learn

By the end of the course, learners will be able to:

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

 

Audience

Experienced ML engineers and data scientists who want to learn how to use Vertex AI for containerized training, model tuning, deployment, orchestration, and monitoring.

Conspect Show list

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

Additional information

Prerequisites

Experience building and training custom ML models. Familiar with Docker.
Difficulty level
Duration 1 day
Certificate

The participants will obtain certificates signed by Google Cloud Platform.
Trainer

Authorized Google Cloud Platform Trainer.

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PRICE 600 EUR

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Traditional training

Sessions organised at Compendium CE are usually held in our locations in Kraków and Warsaw, but also in venues designated by the client. The group participating in training meets at a specific place and specific time with a coach and actively participates in laboratory sessions.

Dlearning training

You may participate from at any place in the world. It is sufficient to have a computer (or, actually a tablet, or smartphone) connected to the Internet. Compendium CE provides each Distance Learning training participant with adequate software enabling connection to the Data Center. For more information, please visit dlearning.eu site

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Paper materials

Traditional materials: The price includes standard materials issued in the form of paper books, printed or other, depending on the arrangements with the manufacturer.

Electronic materials

Electronic materials: These are electronic training materials that are available to you based on your specific application: Skillpipe, eVantage, etc., or as PDF documents.

Ctab materials

Ctab materials: the price includes ctab tablet and electronic training materials or traditional training materials and supplies provided electronically according to manufacturer's specifications (in PDF or EPUB form). The materials provided are adapted for display on ctab tablets. For more information, check out the ctab website.

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