Learning Path

Data and Machine Learning

This learning path is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. To get up to speed quickly, choose a course track suited for your role or interests. Request any of these courses as a private classroom for your organization.

Data Analyst Track

From Data to Insights with Google Cloud Platform

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.

Duration: 3 Days

Data Engineering Track

Google Cloud Platform Big Data & Machine Learning Fundamentals

This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

Duration: 1 Day

Data Engineering on Google Cloud Platform

This four-day course provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.

Duration: 4 Days

Preparing for the Professional Data Engineer Examination

Preparing for the Professional Data Engineering Certification Exam. Elaborates on the exam. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Infrastructure curriculum.

Duration: 1 Day

Data Scientist Track

Google Cloud Platform Big Data & Machine Learning Fundamentals

This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

Duration: 1 Day

Machine Learning with TensorFlow on Google Cloud Platform

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use-case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good generalizable solution using gradient descent and a thoughtful way of creating datasets?

Duration: 5 Days

Advanced Machine Learning with TensorFlow on Google Cloud Platform

Learn more in-depth concepts on how to build sophisticated, high- performance, production-ready machine learning models.

Duration: 5 Days

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