From Prompt to Agent — Your First Intelligent AI System
A full-day hands-on workshop on Agentic AI at the University of Hertfordshire — designing, building, and deploying intelligent AI agents capable of autonomous decision-making.
Full-Day Workshop on Agentic AI
A full-day workshop on Agentic AI at the University of Hertfordshire on the 18th of April 2026 — a day truly full of agentic AI.
It was inspiring to see 55 highly talented students join us in person, alongside an incredible 140 hours of online engagement. What a truly wonderful day it was — full of energy, ideas, and meaningful progress.


About the Workshop
Dive into the world of Agentic AI and discover how to design, build, and deploy intelligent AI agents capable of autonomous decision-making. This workshop takes you step-by-step through the foundations of agentic systems, including architecture design, Retrieval-Augmented Generation (RAG), and real-world applications.
Through live demonstrations and practical insights, you’ll learn how modern AI agents are built and applied across different domains. Whether you’re a developer, AI enthusiast, or tech innovator, this session gives you hands-on experience and a deeper understanding of agentic AI.
What You Will Learn
- What Agentic AI is and how it differs from traditional AI
- Core components of AI agents: LLMs, tools, memory, orchestration
- Introduction to RAG systems and agent architectures
- Practical examples and live coding demonstrations
Speakers
- Abolfazl Zaraki — Senior Lecturer in Robotics and AI
- M. Reza Shahabian A. — Principal AI Engineer | AI Researcher
- Khashayar Ghamati — Principal AI Engineer | AI Researcher
- Ali Fallahi — AI UX Researcher | HRI
- Danial Zafaranchizadeh M. — AI Engineer | Robotics Researcher
Workshop Timeline
Jump to any section of the full recording on YouTube:
- 00:38:25 — Start of the Workshop
- 00:53:40 — Introduction to Agentic AI
- 01:24:11 — Coding Exercise: LLM Integration in Python
- 02:25:30 — Designing Streamlit UI and Linking it to LLM in Python
- 02:41:23 — System Prompt
- 02:58:25 — MCP Servers & Implementing Your Real Agent
- 03:14:38 — Project 1: Robotics Agent in Python
- 04:32:19 — RAG Systems and Agent Architecture
- 04:47:35 — Project 2: Recipe Agent in Python
- 05:02:00 — Multi-Agent: Agent-to-Agent Interaction
- 05:23:00 — The Challenge
Watch & Join
- 🎥 Full recording: Watch on YouTube
- 💬 Community: Join the Discord