Smart Analytics, Machine Learning, and AI on Google Cloud (SAMLAI)

 

Course Overview

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

Who should attend

Data Engineers

Prerequisites

Participants should have completed the Google Cloud Big Data and Machine Learning Fundamentals course or have equivalent experience.

Course Objectives

  • Differentiate between ML, AI and deep learning.
  • Discuss the use of ML API’s on unstructured data.
  • Execute BigQuery commands from notebooks.
  • Create ML models by using SQL syntax in BigQuery.
  • Create ML models without coding by using AutoML

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Book now
Enquire a date
Classroom Training

Duration
1 day

Price
  • on request
incl. catering
Book now
Enquire a date

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

Time zone: Central European Time (CET)

Online Training Time zone: Central European Time (CET)
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Germany

Berlin
Frankfurt
Frankfurt

If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.