Introduction to Trading, Machine Learning & GCP

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 non-degree course that introduces students to trading, machine learning, and Google Cloud Platform. It's a 4-module course that lasts several weeks and is taught in English. The main advantage of this program is that it helps students learn how to build basic machine learning models and apply them to trading.

The curriculum covers topics such as the fundamentals of trading, quantitative trading strategies, and machine learning models. Students will learn how to identify profit sources, structure basic trading strategies, and use Google Cloud Platform to build models in Jupyter Notebooks. The course requires advanced competency in Python programming and familiarity with machine learning libraries.

After completing this program, students can pursue careers such as Quantitative Trader, Machine Learning Engineer, Data Scientist, or Financial Analyst. They can work in various industries, including finance, technology, and healthcare, and can be employed by companies such as Google, Goldman Sachs, or Morgan Stanley.