Artificial Intelligence and Data Science Project Management

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Discover the issues related to artificial intelligence (AI) projects and the major differences with the traditional management of IT and software development projects.

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 program will present the basics of 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.

Presentation

GOALS

This program will help give you the tools to:

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.
Discover the key factors to the successful implementation of your AI projects.

IS THIS FOR YOU?

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.

SPECIAL FEATURES

By the end of this course, 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 apply the course content to your field.

Program

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.

TRAINING APPROACH

Presentation of theoretical concepts.
Numerous case studies.
Group discussions.
Additional reading.

Instructors

Adrian Gonzalez Sanchez

MSc (mobile communications), MBA

Telecom & IT Engineer, Microsoft

Delphine Le Serre

PhD (Marketing), Engineering degree in physics

Head of AI Learning and Strategic Development, Moov AI

On-site

Online