Smart Analytics, Machine Learning, and AI on Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
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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.
Course Info
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 using Vertex AI AutoML.
Prerequisites
To benefit from this course, participants should have completed “Google Cloud Big Data and Machine Learning Fundamentals” or have equivalent experience.
Audience
Data Engineers
Available languages
English, español (Latinoamérica), 日本語, français, português (Brasil), italiano ו한국어