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Contato
Google Cloud Fundamentals for Researchers (GCFR) – Outline
Outline detalhado do curso
Module 1 - Google Cloud Demos for Researchers
Demo: Provision Compute Engine virtual machines Demo: Query a billion rows of data in seconds using BigQuery Demo: Train a custom vision model using AutoML Vision Module 2 - Google Project Concepts
Organizing resources in Google Cloud Controlling Access to projects and resources Cost and billing management Module 3 - Computing and Storage on Google Cloud
Interacting with Google Cloud Create and Manage Cloud Storage Buckets Compute Engine virtual machines Understanding computing costs Introduction to HPC on Google Cloud Lab 1: Create and Manage a Virtual Machine (Linux) and Cloud Storage Module 4 - BigQuery
BigQuery fundamentals Querying public datasets Importing and exporting data in BigQuery Connecting to Looker Studio Lab 3: BigQuery and Looker Studio Fundamentals Module 5 - Vertex AI Notebooks
Enabling APIs and services Vertex AI Vertex Workbench Connecting Jupyter notebooks to BigQuery Lab 4: Interacting with BigQuery using Python and R Running in Jupyter Notebooks Module 6 - Machine Learning
Types of ML within Google Cloud Prebuilt ML APIs Vertex AI AutoML BigQuery ML Lab 5: Optional (take-home) labs to choose from:
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs Identify Damaged Car Parts with Vertex AutoML Vision Getting Started with BigQuery Machine Learning