Concordia University Saint Paul, 2023, Data Analytics

Goals: Avinash wants practical experience integrating AI systems into CRM platforms like Salesforce for business operations.

Project: Developing an AI-based integration service to dynamically connect Salesforce CRM data with AI models, enabling continuous real-time synchronization and utilization.

Rollins College, 2025, Math & Computer Science

Goals: Andres seeks practical skills in NLP, data-to-results pipelines, RAG methods, and team collaboration in AI projects.

Project: Designing a multilingual AI chatbot module capable of accurately translating responses, preserving context and meaning across different languages using advanced language models.

Temple University, 2025, MIS

Goals: Deep wants practical knowledge of NLP, prompt engineering, and building AI agents for solving real business issues.

Project: Developing an executive AI assistant that provides business leaders with clear summaries and explains the reasoning behind AI-generated calculations, analyses, and gathered information.

Western Michigan University, April 2025, AI/ML

Goals: Aslesh aims to build practical skills in AI agents, NLP-to-SQL systems, and agent orchestration for business tasks.

Project: Creating a conversational system that uses retrieval-augmented generation (RAG), vector embeddings, and intent classification to provide accurate, context-based responses drawn from structured data and documents.

University at Buffalo, 2025, Artificial Intelligence

Goals: Venkata wants practical knowledge of building end-to-end AI application pipelines suitable for healthcare businesses.

Project: Developing a multi-tenant document management system that organizes uploaded files, generates AI-readable metadata, and integrates documents seamlessly into AI workflows and processes.

University of Connecticut, Dec 2024, Data Science

Goals: Vinay seeks to master building practical RAG and agent-based systems, applying them directly to real situations.

Project: Designing a financial risk scoring application using NLP, retrieval-augmented generation (RAG), and explainable AI methods to provide clear, regulator-friendly credit evaluations.

Washington College, 2025, Data Science

Goals: Peter wants to learn practical AI methods for daily data science tasks, focusing on Azure and digital twin concepts.

Project: Developing a deal calculation and reporting system utilizing statistical modeling, large language models, and natural language explanations to clarify complex Gross-to-Net financial calculations.

Cleveland State University, May 2024, CS

Goals: Akhil seeks practical skills in language models, NLP, and AI orchestration tools on cloud platforms like Azure.

Project: Implementing a secure repository system using prompt engineering, row-level data isolation, and synthetic data generation to manage and serve precise NLP training samples and intents across multiple tenants.