Google Cloud

Big Data and Machine Learning Fundamentals

7 hours
450,00 €
Classroom or Live Virtual Class
Classroom or Live Virtual Class

Note: The prices indicated below do not include 21% VAT.

08 Apr 2024 - 08 Apr 2024   |  

Big Data and Machine Learning Fundamentals

7 h | 450 € | Live Virtual Class | Spanish
Monday (09:00h - 17:00h)
Calendario de sesiones

Description

TASTE OF TRAINING

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.

It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Audience and prerequisites

This class is intended for the following participants:

  • Data analysts, data scientists, and business analysts who are getting started with Google Cloud. 
  • Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results, and creating reports.
  • Executives and IT decision makers evaluating Google Cloud for use by data scientists.

Prerequisites

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

  • Database query language such as SQL
  • Data engineering workflow from extract, transform, load, to analysis, modeling, and deployment
  • Machine learning models such as supervised versus unsupervised models

Objectives

This course teaches participants the following skills:

  • Identify the purpose and value of Google Cloud products and services
  • Interact with Google Cloud services
  • Describe the ways customers have used Google Cloud
  • Use big data and ML products on Google Cloud: App Engine, Google Kubernetes Engine and Compute Engine
  • Use BigQuery, Google's managed data store for statistics

Topics

Module 0: Course Introduction

  • Recognize the data-to-AI lifecycle on Google Cloud
  • Identify the connection between data engineering and machine learning

Module 1: Big Data and Machine Learning on Google Cloud

  • Identify the different aspects of Google Cloud’s infrastructure.
  • Identify the big data and machine learning products on Google Cloud.

Lab: Exploring a BigQuery Public Dataset

Module 2: Data Engineering for Streaming Data

  • Describe an end-to-end streaming data workflow from ingestion to data visualization.
  • Identify modern data pipeline challenges and how to solve them at scale with Dataflow.
  • Build collaborative real-time dashboards with data visualization tools.

Lab: Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow

Module 3: Big Data with BigQuery

  • Describe the essentials of BigQuery as a data warehouse.
  • Explain how BigQuery processes queries and stores data.
  • Define BigQuery ML project phases.
  • Build a custom machine learning model with BigQuery ML.

Lab: Predicting Visitor Purchases Using BigQuery ML

Module 4: Machine Learning Options on Google Cloud

  • Identify different options to build ML models on Google Cloud.
  • Define Vertex AI and its major features and benefits.
  • Describe AI solutions in both horizontal and vertical markets.

Module 5: The Machine Learning Workflow with Vertex AI

  • Describe an ML workflow and the key steps.
  • Identify the tools and products to support each stage.
  • Build an end-to-end ML workflow using AutoML. 

Lab: Vertex AI: Predicting Loan Risk with AutoML

Open calls

Note: The prices indicated below do not include 21% VAT.

08 Apr 2024 - 08 Apr 2024   |  

Big Data and Machine Learning Fundamentals

7 h | 450 € | Live Virtual Class | Spanish
Monday (09:00h - 17:00h)
Calendario de sesiones