Applied Graduate Certificate in AI Driven Business Intelligence

1) GenAI: Overview

This module offers a comprehensive overview of Generative AI (GenAI), covering its business case, capabilities, and future potential. Participants will explore how GenAI compares to standard artificial intelligence (AI), what passing human-designed tests like the Bar exam really means for its real-world abilities, and common issues like hallucinations. The module also addresses future trends, including the impact of AI on jobs and what to expect as GenAI continues to evolve.

2) GenAI: LLMs

This module introduces participants to using large language models (LLMs) for parsing PDFs with tools like LlamaParse. Participants will learn to automate data extraction, especially from tables, gaining practical experience in turning unstructured data into useful insights.

3) GenAI: RAG

In this module, participants will learn to build a GenAI system on Google Cloud Platform (GCP) using large language models (LLMs) for reading and writing tasks. The session covers LLM limitations, efficient prompting, summarization, proofreading, and cost estimation for LLM-based applications.

4) GenAI: Image & Sound

In this module, participants will use Teachable Machine to apply no-code machine learning to image, video, and sound tasks. They will learn to collect data from webcams and microphones for sound classification and human pose estimation, gaining practical experience without needing to code.

5) Descriptive Analytics – Visualizing Data Relationships

This module introduces the fundamental concepts of descriptive analytics, including measurement principles, data types, descriptive statistics, and data visualization. Participants will learn how to summarize and visualize data effectively, providing a strong foundation for more advanced analytics techniques. Participants will work with a provided dataset using Python to apply the concepts and develop their skills.

6) Predictive Analytics I – Building a Regression Model

Participants will learn how to explore relationships between variables using correlation analysis and build predictive models using linear regression. This module focuses on equipping participants with the skills to build and evaluate models that can predict future outcomes based on historical data. Participants will carry out regression model development using Python and a provided dataset.

7) Predictive Analytics II – Making Predictions

This module introduces how to make predictions using the regression model developed previously. Techniques to estimate values for input variables account for uncertainty in predictive models. Participants will learn how to use Monte Carlo simulation to make more robust predictions, providing a deeper understanding of potential outcomes. Participants will carry out hands-on predictions, analysis, and visualization using Python.

8) Prescriptive Analytics – Providing Insight to Guide Actions

This module focuses on using clustering techniques to guide prescriptive decision-making. Participants will learn how to generate and analyze data clusters and develop targeted business actions, translating analytical insights into practical, actionable strategies.

1) Reinforcing Project Principles

Learn how to create and manage an implementation plan with best practices in project management.

2) Integrating AI with Project Tools

Learn to work with end users of the applications to identify specific needs and new workflows. Work with tech specialists to implement the technologies to address goals and needs.

3) Managing Project Finances

Discover how to apply financial practices to project management and present project success.

4) Building the Right Space for Collaboration

Practice your best active listening skills and foster a workspace that favours diversity of thought.

5) Making Decisions as a Team

Articulate the vision of the project to motivate and align the team. Re-enforce the roles and tasks of each team member.

6) Setting the Stage for Change

Partner with stakeholder groups from initial planning. Constant re-enforcement of the organizational and project goals.

7) Implementing New Processes

Apply change as both a process and a skill.

8) Reporting on Change and its Effectiveness

Measure change and effectiveness. Report findings and present to senior leaders.

Nov 2026 Cohort

Click here to enrol into Nov 2026 cohort.

Nov 2027 Cohort

Please email execedinfo@schulich.yorku.ca to enrol into Nov 2027 cohort.

1) Great Communication Strategies

Build the foundation for strategic communications through a framework outlining 7 key elements: Audience, Channels, Mindsets, Intention, Messaging, Content and Effectiveness.

2) Impactful Communications

Develop an integrated channel strategy to create greater impact, learning where, when and how your message should reach your various audiences.

3) Managing Optics & Perceptions

Meet audiences where they are, exploring how communicators can move beyond sharing information to communicating with influence.

4) Leading with Intent: Communicating with Senior Leaders

Communicating requires more than having the right information, it requires clarity about what matters, why it matters and what you want your audience to take away. Utilizing tools from previous sessions, understand how to approach senior leader communication.

5) The Essential Message

Explore how to distill complex information, competing priorities and multiple perspectives into the few messages. Identify the essential message, tailor it to the audience and connect it to the response or action they want to create.

6) From Strategy to Story

Learn how to use the communications framework to guide content development and turn strategic thinking into effective AI prompts that generate more relevant, audience-centred content. The focus is on using AI to enhance strategic thinking and creativity, not replace it.

7) Effective Communications: Presenting with Impact

Explore how to evaluate the impact and effectiveness of communications efforts using insights to strengthen future communications. Build practical presentation techniques for sharing ideas with greater clarity, confidence and impact, ensuring important messages not only get delivered, but resonate.

8) The Communications Challenge

The final session brings the communications framework to life through practical, real-world challenges. Apply the tools, principles and approaches explored throughout the course to develop a strategic communications response to a defined business or communications objective.

Jan 2027 Cohort

Click here to enrol into Jan 2027 cohort.

Feb 2028 Cohort

Please email execedinfo@schulich.yorku.ca to enrol into Feb 2028 cohort.