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.
DurationThis 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.
Earn Badges
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
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 course provides the latest concepts, tools and techniques to build and influence the development of a successful data science and machine learning capability. Delivered through an interactive approach utilising the latest tools, participants of this course are exposed to basic techniques
This Machine Learning with Sagemaker (AWS) course intended for data scientists and software engineers
Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars
This course explores a collaborative project between the UTS Data Science Institute and Sydney Trains. The objective of the project was to develop a timetable robustness evaluation model using analytical/statistical methods, or machine learning techniques.
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.
About Coursetakers.com
Coursetakers.com is more than a decade old course aggregator and Online course platform that helps students find courses and compare course prices from Training providers in the UAE, UK, USA, India and South Africa, by just submitting their inquiry through the website. Coursetakers also helps Institutes, Universities and Online Instructors market their courses, gain leads and get more students to enroll into their courses.
© 2025 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy
Online
USA
UK
India
UAE
South Africa
Canada
New Zealand
Australia
Malaysia
Singapore
Saudi Arabia
Egypt
Jordan