Diploma in Cloud Data Analytics &
Edge AI Security
Edge AI Security
This 880-hour industry-focused diploma program prepares students to harness the power of cloud computing, data analytics, and edge AI to build scalable, secure, and intelligent data systems.
Learners will gain practical skills in managing cloud infrastructure, building data pipelines, analyzing data using advanced visualization tools, and deploying AI-driven analytics in real-time environments.
In addition, you will have the expertise to work with legacy database applications.
What to expect:
Mode of Delivery
Combination of Online Synchronous (instructor-led sessions with real-time labs) & Online Asynchronous (self-paced content and cloud-based lab access)
Duration
44 weeks / 880 hours
Tuition
Local $16,720 / Intl $18,920 CAD
Certification
Diploma
Intake
Semester
Admission Requirements:
Applicants must meet one of the following admission criteria:
- High school diploma or equivalent (OSSD or
internationally recognized qualification) or - Be at least 18 years of age and be a mature
student and pass a Superintendent approved
qualifying test (Wonderlic) and - English proficiency equivalent to IELTS 6.0 or higher (if applicable)
Recommended Background and Skills (not mandatory)
- Basic understanding of data handling, cloud tools, or networking
- Interest in data analytics, AI, cybersecurity, or edge computing
- Logical thinking, analytical skills, and problem solving ability
Key Skills & Competencies:
- Design secure and scalable cloud databases and data pipelines
- Build ETL/ELT workflows with tools like dbt, Airflow, Azure Data Factory
- Apply DataOps and CI/CD principles to automate and monitor data solutions
- Use Power BI to build interactive dashboards for business insights
- Prepare and deploy AI/ML models using cloud tools
(AutoML, Vertex AI, SageMaker) - Implement edge computing solutions for real-time data analytics
- Apply ethical and governance standards in cloud-based data environments
- Present capstone projects integrating security, cloud analytics, and predictive AI
Program Contents:
- Introduction to PC Hardware & OS
- Linux & Unix Essentials
- Cloud-Based Database Systems and Security
- Edge Computing and Real-Time Cloud Data Processing
- DataOps & CI/CD for Cloud Data Workflows
- Power BI and Modern Visualization Tools
- Data Governance
- End-to-End Big Data & Predictive Analytics with AI/Cloud
- Applied Predictive Analytics with Cloud AI Models
- Capstone Project: Secure Cloud Data Pipeline & AI Analytics
- Cloud Certification Prep (AWS or Azure)
- Leadership and management skills
- Personal development & Effective communication
Job Market Potential
Median Income:
Graduates typically earn between $60,000 and $90,000 per year in entry to mid-level data roles, with advanced cloud and AI skills supporting higher compensation in enterprise or consulting positions.
Possible Job Titles:
Cloud Data Analyst, AI/ML Data Specialist, Data Engineer, Edge AI Developer, Cloud Security Analyst, Business Intelligence Developer