Google Cloud Training on Data and ML
At Google, I lead the team that teaches our customers how to solve their data and machine learning needs using Google Cloud Platform products. These courses are also the primary way that partners and Googlers learn about our platform.
Machine Learning with TensorFlow on Google Cloud PlatformThis set of 5 courses provide an interactive, practical, pragmatic way to get started doing ML quickly and effectively. While there are many theoretical machine learning courses, my goal with this specialization is to provide practical training, so that you can hit-the-ground running.
Advanced Machine Learning with TensorFlow on GCPThis specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems.
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Data Engineering on Google Cloud PlatformThis five-course accelerated specialization is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Attendees learn how to carry out serverless data analysis and productionize machine learning models.
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From data to insights with Google Cloud PlatformThis 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
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