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.

Data Analyst Track

From Data to Insights with Google Cloud Platform

This course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform.

Duration: 3 Days

Building Conversational Experiences with Dialogflow

This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.

Duration: 3 Weeks

Data Engineering Track

Google Cloud Platform Big Data & Machine Learning Fundamentals

This course introduces participants to the big data capabilities of Google Cloud Platform.

Duration: 1 Day

Data Engineering on Google Cloud Platform

This course provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform.

Duration: 4 Days

Preparing for the Professional Data Engineer Examination

This course provides information, tips, and advice on taking the Google Cloud Certified - Professional Data Engineer exam. Identify skill gaps and further areas of study and be pointed to appropriate target learning resources. The best preparation is real-world experience combined with training. Make certification your goal!

Duration: 1 Day

Data Scientist Track

Google Cloud Platform Big Data & Machine Learning Fundamentals

This course introduces participants to the big data capabilities of Google Cloud Platform.

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: 9 Weeks

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 Weeks

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