Agentic AI Workflows
This workshop empowers participants to build AI agents and Generative AI applications that address real-world challenges. It brings together practical methods in data analytics, large language models, and workflow automation using current tools like LangChain, LangGraph, and LLMs.
The focus is on hands-on learning: participants not only gain conceptual foundations in descriptive, predictive, and prescriptive analytics but also explore the evolving role of Retrieval-Augmented Generation (RAG) and Agentic AI in industry. Sessions will guide learners from prompt engineering and LLM APIs to building fully functional AI agents that simulate smart, human-like reasoning.
A 3-day hackathon and final exhibition provide space for creativity and collaboration, as students develop GenAI-powered prototypes tackling real data-driven problems.
This workshop responds to the rising demand for professionals who can operationalize Generative AI, not just in theory, but in action. It is particularly suited for students and professionals eager to explore careers in GenAI development, AI workflow design, or applied machine learning.
Slim Abdennadher
Informatics and Computer Science
KEY LEARNINGS
- Agentic AI
- Generative AI
- Analytics