Graduate Certificate - Cloud Computing (CC511)

Program Overview

Humber’s Cloud Computing graduate certificate equips students with essential knowledge, skills, and practices to thrive in cloud development and delivery across various organizations. The program employs a case methodology approach, immersing students in real-world business challenges to cultivate expertise in areas such as virtualization, cloud architecture, security, automation, and artificial intelligence/machine learning. The first semester comprises seven courses that lay the foundational knowledge necessary for students from diverse backgrounds. In the second semester, the focus shifts to advanced topics, including cloud security, automation, DevOps, and AI and machine learning in cloud computing. Graduates will emerge with the ability to design and implement enterprise-level applications hosted in secure and resilient virtual infrastructures.

Program Structure

The Cloud Computing graduate certificate program is structured over a duration of 2 semesters. It offers a flexible learning schedule, with options for both in-person and online classes. Key features of the program structure include:

• Two semesters of coursework, with foundational courses in the first semester and advanced topics in the second.
• Online classes are synchronous, allowing real-time interaction between instructors and students.
• Hybrid delivery format, combining online lectures with in-person labs.
• Fully online evening courses available for working IT professionals (not available to international students).
• Optional co-operative education opportunities for practical experience in the field.

This program is designed to accommodate various learning preferences and schedules, ensuring that students can effectively balance their studies with other commitments.

Featured Experiences

The Cloud Computing program at Humber offers several unique experiences that enhance learning and professional development:

• Work-Integrated Learning (WIL) opportunities that allow students to apply classroom knowledge in real-world settings through partnerships with industry.
• Field experiences that provide intensive, hands-on learning related to students' career goals.
• Professional practicums that offer practice-based experience under the supervision of experienced professionals.
• Optional co-operative education placements that provide paid work terms, progressively increasing in complexity as students advance.
• Participation in competitions such as the AWS DeepRacer Competition, which focuses on machine learning applications.

These experiences are designed to prepare students for successful careers in the rapidly evolving field of cloud computing.

Career Options

Graduates of the Cloud Computing program can pursue a variety of career paths in Canada, including:

• Cloud Solution Architect: Designs and manages cloud solutions, ensuring they meet business needs and are scalable.
• Cloud Security Architect: Focuses on securing cloud environments and protecting sensitive data from breaches.
• Cloud Solution Consultant: Advises organizations on cloud strategies and implementations to optimize their operations.
• Software Engineer: Develops software applications that leverage cloud technologies for enhanced performance and scalability.
• Development Operations Engineer: Works on automating and improving the software development process within cloud environments.
• Cloud Engineer: Responsible for managing and maintaining cloud infrastructure and services.
• Data Engineer: Designs and builds systems for collecting, storing, and analyzing data in cloud environments.
• AI and Machine Learning Engineer: Develops and deploys machine learning models in cloud settings, integrating them into applications.

These roles are critical in various sectors, including technology, finance, healthcare, and government, reflecting the growing demand for cloud computing expertise.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.