AI & Machine Learning Team Project Experience

APST 180
Closed
Fleming College
Peterborough, Ontario, Canada
Applied Projects and Field Placement Liaison
6
Timeline
  • November 28, 2024
    Experience start
  • April 19, 2025
    Experience end
Experience
3/2 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Categories
Information technology Software development Artificial intelligence Data visualization Data modelling
Skills
ability to meet deadlines communication machine learning project management industry standards technical documentation artificial intelligence
Student goals and capabilities

This experience offers learners the opportunity to apply their knowledge of AI and machine learning in a collaborative, real-world setting. Participants will work in teams to tackle industry-relevant projects, honing their skills in project management, client communication, and technical execution. By engaging with industry professionals, learners will gain insights into practical applications of AI technologies, refine their ability to meet deadlines, and deliver results that align with industry standards.

Students
Certificate
Beginner levels
25 students
Project
45 hours per student
Administrators assign students to projects
Teams of 3
Expected outcomes and deliverables
  • Comprehensive project report detailing methodology and findings
  • Functional AI or machine learning model prototype
  • Presentation of project outcomes to stakeholders
  • Technical documentation for model implementation
  • Feedback summary and reflection on project process
Project timeline
  • November 28, 2024
    Experience start
  • April 19, 2025
    Experience end
Project Examples
  • Developing a predictive analytics model for customer behavior
  • Creating a machine learning algorithm for image recognition
  • Designing a natural language processing tool for sentiment analysis
  • Building a recommendation system for an e-commerce platform
  • Implementing a chatbot for customer service automation
  • Optimizing supply chain operations using AI-driven insights
  • Analyzing social media data to identify emerging trends