Uptraining with Document AI Workbench

Google Cloud, located in Toronto, North America, offers you a unique blend of academic and professional opportunities. As a institution founded in 2008, it provides a fresh perspective on education. You will find advantages in its strong focus on computing, data storage, and machine learning, making it an ideal choice for students interested in these fields. Its client base spans various industries, including financial services, healthcare, retail, and education, providing you with a broad range of potential collaborations and career paths.

Specifically, Google Cloud focuses on services like computing, data analytics, and machine learning, with tools such as Google Cloud Platform (GCP) and Google Workspace. You can choose from 723 programs, which cover a broad spectrum of subjects. Key languages and technologies are taught, preparing you for a career in these in-demand fields. For instance, you can develop skills in Gmail, Docs, Drive, and Calendar, making you proficient in Google's suite of productivity tools.

In Toronto, you will find a unique city benefit - a diverse and thriving metropolis with many opportunities for internships, collaborations, and networking. You can take advantage of the city's active startup scene, with many companies using Google Cloud services. On campus, you can engage with a community of 30,000 students, including many international students, creating a dynamic and global learning environment. Opportunities for you include accessing modern labs, and participating in active student clubs, making your time at Google Cloud a rich and rewarding experience.

This program is a self-paced lab for learners of all levels, offering a non-degree certificate in English. It lasts several weeks and helps you learn uptraining with Document AI Workbench at Google Cloud.

The curriculum covers creating an Invoice Parser processor, configuring the processor for uptraining, labeling example documents, and uptraining the processor. You will develop skills in document processing, machine learning, and data labeling.

After completing this program, you can pursue careers as a Document Analyst, Data Analyst, Machine Learning Engineer, or Cloud Consultant at companies like Google, IBM, or Accenture.