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Executive Education

Managing AI and Data Science Projects

Your guide to best practices for AI project management

Are you looking to bring AI into your organization? Implementing AI and data science (in production, Proof-of-Concept or MVP mode) projects is an intricate process fraught with uncertainty. In general, the quality of the data, the technological complexity of AI implementation, the level of maturity of organizations and the access to resources can make the development and execution of AI solutions especially difficult.

This introductory program presents the basics of AI project management, focusing on data mining and the use of AI technologies. Inspired by the agile-hybrid methodology and the instructor’s experience in the Montreal and international AI industry, the content is aimed at accelerating your learning curve and providing you with a guide to implementing AI projects within your organization.

 

Offered in partnership with HEC Montréal

 

 

 

 

How you will learn

By the end of this program, you will have an in-depth understanding of AI and data science project management best practices. The practical approach focused on the realities of today’s business environment will enable you to immediately apply the course content to your field.

Who is this for?

This program is intended primarily for (but is not limited to):

  • Project managers and product owners
  • Executives and managers wishing to learn more about AI and data science project management
  • Visionary entrepreneurs seeking to incorporate AI into their organization
  • Technical team members interested in the tasks involved in AI and data science project management

A technical background (e.g., engineering, computer science or data science, among others) is an asset but not a prerequisite.

 

The impact

With a focus on comprehensive knowledge development, this program aims to achieve impactful outcomes including:

Take the lead in managing AI projects:

  • Gain the know-how to optimize game-changing new technologies
  • Discover best practices through a business-focused lens
  • Make decisions based on accurate insights

Stay ahead of the project curve:

  • Choose the right tools and leverage data correctly
  • Budget, schedule and allocate resources more effectively
  • Keep track of project progress

Raise the bar on productivity:

  • Transcend traditional project management processes
  • Anticipate and mitigate biases and errors
  • Guide the team through complex tasks 

Fuel organizational success:

  • Use AI tools to detect patterns and opportunities that human beings would miss
  • Implement guardrails to minimize data security risks 
  • Champion your organization’s digital transformation
  • Learn about the issues related to AI projects and the major differences with traditional management of IT and software development projects
  • Apply project management and product ownership techniques to your data mining or AI projects
  • Gain an in-depth understanding of the roles, responsibilities, steps and results of AI projects
  • Understand how to apply agile and hybrid principles, and have a better grasp of their advantages and potential challenges within the scope of an AI project
  • Minimize risks associated with technology that relies on huge volumes of data
  • Discover the key factors to the successful implementation of your AI projects
  • Achieve positive ROI by successfully implementing, managing and growing AI projects
  • Launch AI and data science projects with the highest chances of success
  • Improve communication and collaboration between technical and non-technical staff
  • Ensure your project teams can perform critical AI tasks and projects
  • Unlock new opportunities for growth

This multifaceted program is built around expertise in a wide range of topics, including:

  • Agile project management and the role of the product owner 
  • Innovative solution design 
  • Data science and machine learning 
  • Collaboration between technical and science teams 
  • Plain-language results and expectations management 
  • Lessons learned from past projects 
  • Insights into the AI project lifecycle

Le Serre

Dr. Delphine Le Serre

Associate

Delphine is an international specialist in Artificial Intelligence and Digital Technology. She has worked as a physicist for microelectronics and nanotechnologies, a professor and researcher in higher education, and an entrepreneur in the digital sector.

In 2019, she was ranked by Forbes magazine among the Top 20 Women in EdTech who are transforming the education landscape in Europe. As an author of academic articles and co-author of educational books, she founded and chairs the EdHu2050 foundation, which aims to support the transformation of education in the era of AI.

Delphine received a PhD in Human and Social Science, and holds engineering degrees in microelectronics and nanotechnology. 

Upcoming sessions

calendar Program dates
price_tag Fees and Taxes
notebook Format
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Jul 18, 2025
$1390.00 + tax (5%)

Online

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Online format is delivered virtually in real time and are not recorded. 

Online format is delivered virtually in real time and are not recorded. 

Online

Why UBC Sauder Executive Education?

Elevate your career and organization with UBC Sauder. Recognized as a global leader in executive education by the Financial Times, our programs deliver a transformative learning experience, resulting in tangible impact.

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