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Google Cloud Big Data and Machine Learning Fundamentals
by Google Cloud Training- 4.7
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Approx. 12 hours to complete
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud....
MLOps (Machine Learning Operations) Fundamentals
by Google Cloud Training- 4
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Approx. 16 hours to complete
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models....
Exploring and Preparing your Data with BigQuery
by Google Cloud Training- 4.7
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Approx. 13 hours to complete
Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. I’m Evan Jones (a data enthusiast) and I’m going to be your guide. This first course in this specialization is Exploring and Preparing your Data with BigQuery. com/terms_of_service <<< Introduction: From Data to Insights with Google Cloud Platform specialization...
How Google does Machine Learning
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. com/terms_of_service <<<...
Creating New BigQuery Datasets and Visualizing Insights
by Google Cloud Training- 4.6
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Approx. 11 hours to complete
This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources....
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Course Objectives: Identify why deep learning is currently popular...
Managing Machine Learning Projects with Google Cloud
by Google Cloud Training- 4.6
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Approx. 14 hours to complete
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact....
Building Resilient Streaming Analytics Systems on GCP
by Google Cloud Training- 4.6
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Approx. 12 hours to complete
*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization. Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform....
Smart Analytics, Machine Learning, and AI on GCP
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. Introduction...
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow Welcome to the course Course Introduction Getting Started with Google Cloud Platform and Qwiklabs How to Send Feedback Architecting Production ML Systems...
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