Innovative Applied A.I. Solutions Development Partnership
Le salaire horaire est de C$17.20/heure pour 360 heures par Apprenant.e.
Portée de Expérience
Catégories
Technologie de l'information Apprentissage automatique Intelligence artificielle Bases Cloud technologiesCompétences
presentations microservices network administration business acumen business requirements database management systems data analysis deep learning methods life cycle assessmentWelcome to George Brown College's Applied A.I. Solutions Development program, the first of it's kind to be offered by a Canadian college! Our postgraduate learners are eager to collaborate with employers like you, applying their skills to real-world projects. The program recognizes the industry's need for full-stack data scientists qualified to assume roles such as data scientists, data analysts, data engineers, or machine learning engineers, while also utilizing business analysis skills to effectively communicate how artificial intelligence/machine learning/deep learning can be used in business models.
As an employer partner, we invite you to guide our learners through practical challenges, provide regular feedback, and participate in virtual presentations of their final projects. Your involvement will not only enrich the learning experience but also offer valuable insights for the next generation of Applied A.I. Solutions Development professionals.
Apprenant.es
At the conclusion of this collaboration, you will receive a comprehensive final report detailing the project findings and recommendations proposed by the students. Additionally, you will have the opportunity to attend a final presentation where learners will showcase their solutions and address any questions or feedback.
https://www.georgebrown.ca/programs/applied-ai-solutions-development-program-postgraduate-t431
Exemples de projets
Exigances
- AI-Enhanced Survey Analysis Tool: Build a tool that applies basic natural language processing (NLP) techniques to analyze survey responses and extract sentiment, ensuring privacy and ethical considerations are met
- Data Source Evaluation and Integration Platform: Develop a platform that identifies, evaluates, and integrates various data sources (e.g., internal databases, external APIs) to support analytics for a specific organization, ensuring alignment with their operational needs.
- Machine Learning Model Deployment for Customer Segmentation: Create and deploy a machine learning system that analyzes customer data to segment users for targeted marketing, utilizing various architectures and data storage technologies to optimize performance and scalability.
Critères supplé mentaires pour Compagnie
Les Compagnies doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette Expérience: