Google Cloud is offering no-cost training opportunities to help you gain the latest AI and machine learning skills. You’ll have a chance to learn more about the new Document AI along with Explainable AI, Looker, BigQuery ML, and Dialogflow CX.
The new Document AI (DocAI) platform, a unified console for document processing, became available for preview in November. Join me on April 22 to learn how to set up the Document AI Platform, process sample documents in an AI Platform notebook, and use the Procurement DocAI solution to intelligently process your unstructured data or “dark data” such as PDFs, images and handwritten forms to reduce the manual overhead of your document workflows. Save your spot to learn about DocAI here. Can’t join on April 22? The training will be available on-demand after April 22.
Join Lak Lakshmanan, Google Cloud’s Director of Data Analytics and AI Solutions, on April 16 to explore Explainable AI, a set of tools and frameworks to help you understand and interpret predictions made by your machine learning models. Lak will go through a hands-on lab to teach you several canonical methods to explain predictions and illustrate how the Google Cloud AI Platform serves predictions and explanations. Reserve your seat here to learn about Explainable AI. Can’t join on April 16? The training will be available on-demand after April 16.
Looker is a modern business intelligence (BI) and analytics platform that is now a part of Google Cloud. If you have no machine learning experience, we recommend you check out our technical deep dive to learn how to use Looker to automate the data pipeline building process and generate deeper data insights. Sign up here to get access.
BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.
In our “Real-time credit card fraud detection” webinar, you’ll learn how to build an end-to-end solution for real-time fraud detection. You’ll discover how trained models in BigQuery ML, predictions from Google Cloud’s AI Platform, streaming pipelines in Dataflow, notifications on Pub/Sub, and operational management in Data Studio can all come together to identify and fight credit card fraud. Register here to watch the webinar.
To find out how to build demand forecasting models with BigQuery ML, sign up here. In this webinar, a Google Cloud expert will walk through how to train, evaluate and forecast inventory demand on retail sales data. He’ll also demonstrate how to schedule model retraining on a regular basis so that your forecast models can stay up-to-date.
Understand the ins and outs of Dialogflow CX, lifelike conversational AI with virtual agents (chat and voice bots), when you register here. This webinar shows you the newest ways to build intelligent virtual agents. A Google Cloud expert will demonstrate how to get these agents ready for production and improve customer experience using analytics. She’ll also share best practices for deploying prebuilt agents.
We hope these training resources help you grow your AI and machine learning knowledge. Stay tuned for new learning opportunities throughout the year.
By: Anu Srivastava(Senior Developer Relations Engineer, Google Cloud)
Source: Google Cloud Blog