Concordia University
Concordia University
Log in Sign up

AI in Action: Practical Applications of Artificial Intelligence

CSC 340
Closed
Salem State University
Salem State University
Salem, Massachusetts, United States
Komalpreet Kaur
Her
Associate Professor
2
Timeline
  • March 3, 2025
    Experience start
  • May 2, 2025
    Presentation
  • May 13, 2025
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Information technology Machine learning Artificial intelligence
Skills
deep learning methods artificial neural networks analytical skills machine learning expert systems applications of artificial intelligence artificial intelligence problem solving innovation
Learner goals and capabilities

This experience immerses learners in the practical application of artificial intelligence (AI) techniques, equipping them with the skills to solve real-world problems. Learners will explore various AI methodologies, including expert systems, machine learning, and knowledge representation, to develop intelligent solutions. By engaging with industry-driven projects, learners will apply their understanding of AI concepts to create innovative solutions that mimic intelligent behavior, enhancing their problem-solving and analytical skills.

Learners

Learners
Undergraduate
Beginner, Intermediate levels
21 learners
Project
50 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables
  • Prototype of an AI-driven system
  • Report analyzing the effectiveness of different AI search strategies
  • Machine learning model trained on a provided dataset
  • Presentation on the application of AI techniques to a real-world scenario
Project timeline
  • March 3, 2025
    Experience start
  • May 2, 2025
    Presentation
  • May 13, 2025
    Experience end

Project Examples

Requirements
  • Develop an AI system to optimize supply chain logistics for a retail company
  • Create a machine learning model to predict equipment failure in a manufacturing plant
  • Design an expert system to assist in medical diagnosis based on patient data
  • Build a recommendation engine for an online streaming service
  • Analyze and improve search algorithms for a travel booking platform
  • Develop a chatbot for a financial services company to assist with customer inquiries
  • Create a visual recognition system for quality control in a production line

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
     *
  • Q2 - Checkbox
     *
  • Q3 - Text short
    Will the project involve working on real-wrold datasets  *