This comprehensive course offers an in-depth exploration into the dynamic field of Artificial Intelligence (AI) and Machine Learning (ML), focusing on their applications in the business world.
Led by a diverse team of experts, the course is designed to provide participants with a thorough understanding of AI fundamentals, machine learning basics, and the transformative impact of generative language models on business strategies.
Students will delve into the mechanics and applications of AI and ML in the business world, gaining insights into data privacy, regulatory impacts, and the ethical use of data in AI models. Through a series of modules, guest lectures, and practical applications, students will explore advanced machine learning techniques, the power of mining data, and the strategic implications of AI in leadership and organizational development.
We finalize the course with a capstone project, where students will apply their knowledge to real world business challenges, demonstrating their ability to harness AI and ML for strategic advantage. The capstone project enables students to synthesize their learning and showcase their skills in a practical and impactful manner.
– Prof. Murat Kristal, Program Director, MBA in Technology Leadership;
Professor of Operations Management and Information Systems;
Special Advisor, AI & Business Analytics
Module Details
See below for a quick overview of the course modules and their topics.
Download the Module Details PDF to view full module details.
Module 1
Introduction to AI & Machine Learning
Sep 13, 2024
![ai rihal](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-rihal.jpg)
Tarun Rihal, MBA
- Understand Foundational Concepts
- Analyze Historical Evolution
- Identify Strategic Applications
Module 2
Data Science & Machine Learning
Sep 20, 2024
![ai rihal](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-rihal.jpg)
Tarun Rihal, MBA
- Grasp Machine Learning Fundamentals
- Bridge Data Science and Machine Learning
- Practical Model Development
Module 3
Driving Business Value from Machine Learning I:
Mining Data & Finding Signals in Noise I
Sep 27, 2024
![ai rihal](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-rihal.jpg)
Tarun Rihal, MBA
- Classify Machine Learning Problem Types
- Explore Data for New Insights
- Apply Non-Observable Models
Module 4
Driving Business Value from Machine Learning II: Forecasting the Future and Predicting the Unforeseen
Oct 4, 2024
![ai rihal](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-rihal.jpg)
Tarun Rihal, MBA
- Evaluate Practical Considerations
- Analyze Real-World Case Studies
- Leverage Machine Learning for Business Value
Module 5
Introduction to Generative Language Models
Oct 11, 2024
![ai kathik](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-kathik.png)
Karthik Kuber, PhD
- Grasp Core Concepts
- Assess Capabilities and Limitations
- Analyze Advancements in AI Tasks
Module 6
Multimodal Generative Models
Oct 18, 2024
![ai kathik](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-kathik.png)
Karthik Kuber, PhD
- Develop Multimodal Modeling Skills
- Analyze Ethical Implications
- Enhance Foundational Knowledge
Module 7
AI Applications in Marketing
Nov 1, 2024
![ai rice](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-rice.jpg)
Prof. M. David Rice
- Understand AI Applications in Marketing Research
- Evaluate Emerging Technologies
- Synthesize Broad Concepts
Module 8
AI & Finance
Nov 8, 2024
![ai shum](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-shum.png)
Prof. Pauline M. P. Shum Nolan
- Identify Applications of LLMs and Computer Vision
- Evaluate Retrieval-Augmented Generation (RAG)
- Assess the Effectiveness of AI Strategies in 2024
Module 9
AI & Healthcare Applications
Nov 15, 2024
![ai diamant](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-diamant.jpg)
Prof. Adam Diamant
- Understand Evolution and Impact
- Analyze Successful Applications
- Explore Future Potential
Module 10
AI’s Impact on Leadership & Organizations
Nov 22, 2024
![ai garcia](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-garcia.jpg)
Victor Garcia, MBA
- Explore the Evolution and Applications of AI
- Address Strategic, Ethical, and Operational Challenges
- Develop Risk Management and Integration Strategies
Module 11
Developing an AI Strategy for Organizations
Nov 29, 2024
![ai garcia](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-garcia.jpg)
Victor Garcia, MBA
- Design an Effective AI Strategy
- Evaluate Organizational Readiness and Skill Development
- Establish an AI Ethics Framework
Module 12
Implementing an Effective AI Strategy
Dec 6, 2024
![ai kristal](https://teachingandlearning.schulich.yorku.ca/wp-content/uploads/2024/07/ai-kristal.png)
Prof. Murat Kristal
- Develop a Comprehensive AI Strategy
- Integrate Key Strategic Components
- Refine Strategic Plans through Peer Collaboration
Who Should Enroll?
Schulich undergraduate and graduate students who want to deepen their understanding of AI and machine learning, those looking to integrate AI strategies into their organizations, and anyone interested in the future of technology and its impact on business.
Why Take This Course?
Students will have the opportunity to:
- Learn from Leading AI & ML Experts: Interact with seven of the top minds at the School, and benefit from modules led by instructors from a variety of disciplines.
- Engage with Diverse Peers: Connect and collaborate with students across different programs and career paths, enriching your learning experience.
- Develop Leadership Skills: Gain valuable insights into personal, organizational, and societal leadership, preparing you for the future benefits and challenges that AI and ML will introduce.
Who Is This Course Open To?
This course is open to students in Undergraduate and Graduate programs at the Schulich School of Business. This course may be taken as a 3.00 credit business elective that counts towards BBA or MBA degree requirements. Specialized masters programs can take this course as an extra elective (exceptions apply).
This course is not available to MBAN, MMAI, or MSCM students. Specialized masters students must speak to their academic advisor before enrolling.
Course Details:
Start Date: Friday, September 13, 2024.
End Date: Friday, December 6, 2024.
Frequency: Fall classes will run on every Friday starting September 13 and ending December 6.
Time: Synchronous sessions will be 180 minutes.
Registration and Enrolment:
Enrolment should be completed through the REM system. Please follow the add/drop dates for your respective program.
Questions?
- For Faculty inquiries, contact ada@schulich.yorku.ca
- For Schulich student inquiries, contact studentservices@schulich.yorku.ca