Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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.

The Machine Learning Operations (MLOps) with Vertex AI: Manage Features program is for students who want to learn about MLOps tools and best practices. This non-degree program is taught in English and takes a few weeks to complete. Its main advantage is hands-on practice with Vertex AI Feature Store's streaming ingestion.

The curriculum includes 4 modules that cover deploying, evaluating, monitoring, and operating production ML systems on Google Cloud. Students will learn skills like testing and automation of ML systems. They will also get to use Vertex AI Feature Store's streaming ingestion at the SDK layer.

After completing this program, students can pursue careers like ML Engineer, Data Scientist, or Solutions Architect. They can work in industries like technology or finance for employers like Google or Microsoft. Other possible job titles include Business Intelligence Developer or Data Analyst.