1 Day
Immersive Build Sprint
Free to Attend
From Prompt to Agent
From foundations to applications - build your first intelligent AI system in a single day.
What you will leave with
- - A working agent prototype you can demonstrate
- - Practical prompt and tool-use patterns
- - Starter code and reusable architecture
- - Portfolio-ready applied AI experience
Saturday, 18 April 2026
10:00 - 18:00
College Lane, University of Hertfordshire
For MSc students at University of Hertfordshire
Registration is now closed. We are preparing to begin on Saturday, 18 April 2026.
Countdown to Saturday, 18 April 2026
07
Days
17
Hours
44
Minutes
50
Seconds
6
Structured Learning Blocks
100%
Practical Focus
Free
For Eligible MSc Students
Why Attend
Practical AI learning with immediate career value
A one-day format designed to turn curiosity into build confidence without requiring prior AI specialization.
Build a Real AI Agent
Move beyond chat prompts and create a practical system that can reason, use tools, and return results.
Hands-On Learning
Code as you learn with guided implementation blocks designed for students with basic Python skills.
Career Signal
Turn workshop output into portfolio-ready evidence of applied AI and agentic workflow understanding.
Industry-Relevant Workflow
Explore prompt design, structured tool use, and lightweight deployment patterns used in modern AI teams.
What You Will Experience
A guided journey from first principles to a working agent
Instead of a dense timetable, the day is structured as an elegant progression from understanding to implementation.
Step 1
Understand the Foundations
Start with how LLM-powered systems work and what makes agents different from basic chatbots.
Step 2
Design Better Prompts
Learn prompting patterns that shape behavior, improve reliability, and keep outputs purposeful.
Step 3
Add Tool-Using Intelligence
Introduce tool calls, context handling, and observation-action loops that unlock practical automation.
Step 4
Build and Ship a Prototype
Prototype a usable agent flow, test it collaboratively, and share outcomes with confidence.
Event Highlights
Everything included for a high-energy, high-value workshop day
Designed to keep the experience practical, social, and motivating from morning setup to final showcase.
Free full-day workshop
Free lunch included
Coffee breaks throughout
Afternoon challenge session
Amazon vouchers for winners
University computing infrastructure
Beginner-friendly entry point
Hands-on coding activities
Who It Is For
Built for MSc students ready to turn AI interest into practical capability
If you are curious about intelligent systems and you can code basic Python, this event is designed for you.
Eligibility Focus
Clear entry point, strong practical output
This workshop welcomes students who may be new to AI but want to build meaningful applied workflows quickly and confidently.
- MSc students at the University of Hertfordshire
- Students with basic Python knowledge
- Anyone curious about AI agents, automation, and prompt engineering
- Students who want practical project output for portfolio and CV impact
Agenda Overview
A premium workshop flow with clear progression
The day moves from foundations to implementation, then into a collaborative challenge and showcase.
01
Foundations
AI agents in context, practical architecture, and how intelligent systems are layered.
02
Prompting & LLM Interaction
Prompt patterns, role shaping, and controlled interaction design for reliable outputs.
03
Agent Architecture
Observation, decision, action loops and the role of tools, memory, and constraints.
04
Practical Build Session
Code-led implementation from simple workflows to structured agent behavior.
05
Creative Challenge
Collaborative mini-challenge to design, test, and improve an agentic concept.
06
Showcase & Awards
Present outcomes, celebrate ideas, and recognise standout workshop teams.
Hosts & Speakers
Learn from experienced AI educators and researchers
A focused teaching team blending applied workshop delivery with cutting-edge research in agentic and adaptive AI systems.
Dr Abolfazl Zaraki
Senior Lecturer in Robotics and Artificial Intelligence
Workshop Host
School of Physics, Engineering and Computer Science, University of Hertfordshire
University of Hertfordshire
Dr Zaraki leads this intensive day with an applied teaching style focused on building practical agentic systems. Expect a clear, supportive path from concept to implementation and showcase.
Agentic AIApplied RoboticsAI Education
Khashayar Ghamati
Principal AI Engineer | PhD Researcher in Continual Learning & AI Adaptation
Guest Speaker
PhD Candidate in Computer Science, University of Hertfordshire
University of Hertfordshire
Khashayar focuses on agentic AI, continual learning, novelty detection, and reinforcement learning for adaptive robotics and human-robot interaction (HRI). His work bridges machine learning and real-world robotics to build systems that adapt in unseen environments.
Continual LearningAdaptive RoboticsTrustworthy AI
Reza Shahabian
Research Scientist | Agentic AI | Multimodal ML & Robotics
Guest Speaker
AI & Robotics Research Scientist (PhD, Computer Science)
University of Hertfordshire
Reza builds end-to-end ML pipelines for robotics, from sensor integration and modelling to systematic evaluation and real-time deployment. His interests include structured AI workflows, reproducible evaluation design, and AI integration in autonomous and assistive robotics.
Multimodal PerceptionEmbodied AIRobotics Deployment
Ali Fallahi
PhD Candidate in Human-Robot Interaction | Trust, UX, and Human-Centred AI
Guest Speaker
University of Hertfordshire
University of Hertfordshire
Ali has a background in recommender systems, front-end development, and SEO. He is focused on UX research for intelligent systems and robotics, with an emphasis on trust and human-centred interaction design.
Human-Robot InteractionUX ResearchHuman-Centred AI
Danial Zafaranchizadeh Moghaddam
AI Engineer | Web & App Developer | MSc AI & Robotics | DRL, ROS & LLM-VLA Enthusiast
Guest Speaker
MSc AI & Robotics, University of Hertfordshire
University of Hertfordshire
Hi, I'm Daniel. By day, I build high-performance web and mobile apps. By night, I teach machines how to learn, make GPUs run hot, and explore the world of robotics. I work at the intersection of Software Engineering, Robotics, and AI through projects and technical experimentation.
AI EngineerDRL & ROSLLM-VLA SystemsWeb & App Engineering
Registration Update
Registration has now closed
Thank you for the strong interest. We are now in final preparation mode and looking forward to starting the workshop.
Registration Closed
Seats are now finalized for this workshop.
If you have already registered, please watch your inbox for final event logistics. If you missed this intake, join the mailing list to get priority notice for future AI workshops.
We are now preparing for the live session start on Saturday, 18 April 2026.
Workshop starts at 10:00 - 18:00
More events will be announced soon
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Student Voice
How participants describe the workshop experience
Placeholder testimonials for structure and visual rhythm. Replace with real post-event feedback.
I started with zero agent experience and left with a working prototype I can show in interviews.
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Applied AI Cohort
The best part was the hands-on flow. Every concept immediately became code we could test and improve.
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Software Engineering Pathway
It felt practical, current, and career-relevant without being overwhelming for beginners.
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Data Science Pathway
FAQ
Everything you may want to know before registering
Short answers to common questions so you can decide quickly and confidently.
No. The workshop is designed for students with basic Python knowledge. We start from core concepts and build toward practical agent workflows.