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.
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.
Objectives
Recognize the data-to-AI lifecycle on Google Cloud and the major big data and machine learning products.
Design streaming pipelines with Dataflow and Pub/Sub.
Analyze big data at scale with BigQuery.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI.
Build a machine learning pipeline using AutoML.
Audience
Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud.
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At Servian, we design, deliver and manage innovative data & analytics, digital, customer engagement and cloud solutions that help you sustain competitive advantage.
Data is our heritage and has always been at the core of everything we do at Servian. Our mission is to enable our customers to use their data and analytics to build competitive advantage.
Our expertise in data and analytics strengthens our ability to provide data-driven solutions for our Digital and Customer Engagement services, aided by our expertise in Cloud & Technology.
This training course is for people that would like to apply basic Machine Learning techniques in practical applications.
In all fields of research we are being confronted with a deluge of data; data that needs cleaning and transformation to be used in further analysis. This webinar demonstrates the effective use of programming tools for an initial analysis of COVID-19 datasets, with examples using both R and Python.
This Machine Learning with Sagemaker (AWS) course intended for data scientists and software engineers
This course covers an introduction to machine learning, helping candidates to acquire the essential knowledge and skills needed to understand and apply different machine learning techniques.
TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to go from training a single ML model to deploying many ML models to production.
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