Applied Graduate Certificate in Data and AI Driven Business Intelligence
Unlocking the Value of Data and AI for Your Organization

Applied Graduate Certificate in Data and AI Driven Business Intelligence
February 26, 2026
- Location:
- Online
Program Overview
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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 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 Part 1 – 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 Part 2 – 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.
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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.
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1: Great Communication Strategies
Develop your personal communication style and find the right strategies to help you communicate better.
2: Storytelling Techniques
Use storytelling techniques to make your communication more engaging.
3: Practicing Impactful Communication
Put into practice various skills and techniques that make communicators persuasive and impactful.
4: Communicating Through Problem Solving & Get Positive Attention
Learn strategies to capture and maintain positive attention. Master techniques to grab interest and trust through powerful introductions and emphasizing the value proposition of your message.
5: Resolving Conflicts
Enhance your problem-solving aptitude by embracing conflict as an opportunity. Practice clear communication to reduce confusion and enhance understanding, even in ambiguous contexts.
6: Communicating to Senior Leaders
Understand the differences between horizontal communication and “communicating up.” Learn to accurately analyze the business-political landscape to better achieve your objectives.
7: Managing Optics and Perceptions
Discover ways to build a strategic network of relationships, and how to further opportunities by facilitating conversations between unconnected parties.
8: Integrated Communication Strategies
Create a comprehensive communication plan for a real or hypothetical scenario, incorporating storytelling, conflict resolution, and strategic messaging.
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Fall 2025
Term 1: Data Analytics & Practical AI Applications
Course Dates Time GenAI: Overview 9/10/2025 7:00 pm - 9:00 pm GenAI: LLMs 9/17/2025 7:00 pm - 9:00 pm GenAI: RAG 9/24/2025 7:00 pm - 9:00 pm GenAI: Image & Sound 10/1/2025 7:00 pm - 9:00 pm Descriptive Analytics - Visualizing Data Relationships 10/8/2025 7:00 pm - 9:00 pm Predictive Analytics Part I - Building a regression Model 10/15/2025 7:00 pm - 9:00 pm Predictive Analytics Part II - Making Predictions 10/22/2025 7:00 pm - 9:00 pm Prescriptive Analytics - Providing Insight to Guide Actions 10/29/2025 7:00 pm - 9:00 pm Term 2: Leading Projects & Change
Course Dates Time Reinforcing Project Principles 11/5/2025 7:00 pm - 9:00 pm Integrating AI with Project Tools 11/12/2025 7:00 pm - 9:00 pm Managing Project Finances 11/19/2025 7:00 pm - 9:00 pm Building the Right Space for Collaboration 11/26/2025 7:00 pm - 9:00 pm Making Decisions as a Team 12/3/2025 7:00 pm - 9:00 pm Setting the Stage for Change 12/10/2025 7:00 pm - 9:00 pm Implementing New Processes 1/21/2026 7:00 pm - 9:00 pm Reporting on Change and its Effectiveness 1/28/2026 7:00 pm - 9:00 pm Term 3: Powerful Communication
Course Dates Time Great Communication Strategies 2/4/2026 7:00 pm - 9:00 pm Storytelling Techniques 2/5/2026 7:00 pm - 9:00 pm Practicing Impactful Communication 2/11/2026 7:00 pm - 9:00 pm Communicating Through Problem Solving & Get Positive Attention 2/12/2026 7:00 pm - 9:00 pm Resolving Conflicts 2/18/2026 7:00 pm - 9:00 pm Communicating to Senior Leaders 2/19/2026 7:00 pm - 9:00 pm Managing Optics and Perceptions 2/25/2026 7:00 pm - 9:00 pm Integrated Communication Strategies 2/26/2026 7:00 pm - 9:00 pm
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