This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the proficiency level 2 micro-course in the AI Integration in Enterprise track. Note: There is no introductory level 1 course in this track.
This proficiency level micro-course equips IT professionals to harness AI in financial technology and enterprise environments. Gain experience with designing secure financial system architectures, implementing AI-driven risk management and fraud detection tools, and building intelligent platforms for trading and investment analysis.
This micro-course is designed for IT professionals in technical and product management roles. The content in this micro-course is highly technical and recommended for students with technical backgrounds.
By the end of this course, you will be able to:
- Design and implement comprehensive AI financial system architectures
- Deploy AI-powered risk management and fraud detection solutions
- Develop and manage algorithmic trading systems and investment analysis platforms
- Implement automated regulatory compliance and reporting systems
- Create AI-driven financial planning and forecasting solutions
- Analyze customer data and implement personalized financial services
Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:
- Advanced financial AI platforms (Bloomberg Terminal with AI, Thomson Reuters Eikon)
- Risk management and fraud detection systems (SAS Fraud Management, FICO Falcon)
- Algorithmic trading platforms (QuantConnect, MetaTrader with AI)
- Regulatory compliance and reporting tools (Axiom SL, MSCI RiskManager)
- Enterprise financial planning systems (SAP BPC, Oracle Hyperion with AI)
Course outline
- Module 1: Advanced financial AI system architecture and integration
- Module 2: AI-Powered risk management and fraud detection implementation
- Module 3: Algorithmic trading systems and investment analysis platforms
- Module 4: Regulatory compliance automation and reporting systems
- Module 5: Enterprise financial planning and AI-driven forecasting
- Module 6: Customer data analytics and personalized financial services
The course outline may be subject to change as AI evolves and the course is updated to reflect the latest content.
How am I assessed?
You will be assessed on successfully completing weekly activities, including exercises, quizzes, applied case study projects (based on real-life scenarios) and your contributions to discussion posts. These activities are marked using a proficiency scale, and your instructor provides you informal feedback during live online sessions.
While you are not assessed on your attendance of the live online sessions, we encourage you to attend so you can learn and interact with your instructor and other participants. All sessions are recorded in case you miss one.
This micro-course operates on a pass/fail basis. You must achieve an overall grade of 70% or greater to pass and be eligible to earn the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals.
Expected effort
Expect to spend approximately 14 hours per week per course completing all learning activities, including attending live sessions online.
Requisites
Recommend completion of AI Foundations 3: Strategies for Organizations or equivalent foundational AI analytics knowledge. This micro-course is highly technical and recommended for students with a technical background.
Course format
This 100% online part-time program consists of instructor-supported real-time classes combined with independent study.
Each micro-course will consist of a weekly virtual class taught by subject matter experts and a high degree of personal engagement and interactivity. Outside of class, you can access online materials on your own time.
One business day before the micro-course start date, we'll email you step-by-step instructions for accessing your micro-course.