AI in Action: Practical Applications for Industry

COM412
Closed
Timeline
  • January 30, 2025
    Experience start
  • February 3, 2025
    Kick off meeting :Gather requirements
  • April 30, 2025
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Artificial intelligence
Skills
recommender systems machine learning natural language processing (nlp) sentiment analysis image recognition artificial intelligence artificial neural networks data analysis innovation
Learner goals and capabilities

This experience bridges the gap between AI theory and practical application, empowering learners with the skills to implement AI solutions in real-world scenarios. Participants will gain hands-on experience in programming AI models, conducting data analysis, and applying machine learning, neural networks, and natural language processing techniques. These skills can be leveraged to tackle industry-specific challenges in sectors such as finance, healthcare, and technology, providing innovative solutions to contemporary problems.

Learners

Learners
Undergraduate
Intermediate levels
40 learners
Project
30 hours per learner
Learners self-assign
Teams of 6
Expected outcomes and deliverables
  • Development of a machine learning model to predict financial trends
  • Creation of a neural network for image recognition tasks
  • Implementation of a natural language processing tool for sentiment analysis
  • Data analysis report highlighting key insights from a given dataset
  • Prototype of an AI-driven recommendation system
Project timeline
  • January 30, 2025
    Experience start
  • February 3, 2025
    Kick off meeting :Gather requirements
  • April 30, 2025
    Experience end

Project Examples

Requirements
  • Design a predictive model to forecast market movements
  • Develop an AI tool to automate patient data analysis in healthcare
  • Create a chatbot for customer service using natural language processing
  • Build a recommendation engine for an e-commerce platform
  • Analyze social media data to identify emerging trends
  • Implement a facial recognition system for security applications
  • Develop a speech-to-text application for accessibility purposes
  • Create a tool to optimize supply chain logistics using AI

Additional company criteria

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

  • Q1 - Text short
    Will you provide an opportunity for learners to present their work and receive feedback?