KNIME Data Connect: Budapest / Agentic AI Learnathon

Join us for next edition of Data Connect: Budapest where we will be hosting KNIME's brand new Agentic AI Learnathon. This Learnathon will be organized and co-hosted with the Hungarian Research Network (HUN-REN), with support from MIKRUM and IFUA Horváth.

Event Agenda :

5:30 PM – 5:45 PM
Welcome & Reception
5:45 PM – 8:00 PM
Presentations and Agentic AI Learnathon
8:00 PM – 9:30 PM
Networking with food and drinks

### During this hands-on workshop, you will learn the fundamentals of GenAI and Agentic systems and how to implement them in KNIME, without coding.

The workshop is divided into 3 stages of increasing complexity:

• GenAI and data workflows
• Agentic AI
• Data aware agentic AI

You will work hands-on with the free low-code tool KNIME Analytics Platform, and LLMs using the KNIME AI Extension.
Please bring your laptop with KNIME Analytics Platform and the KNIME AI Extension already installed.

We'll provide access to an LLM. How?

By giving you API credentials for free that allow you to access it.

***

Preparation instructions for the Agentic AI KNIME Learnathon

To ensure you get the most out of this hands-on workshop, please follow these preparation steps before attending:

1. Download KNIME Analytics Platform at https://www.knime.com/downloads
2. Download the folder "Agentic AI Learnathon" from the KNIME Community Hub (login with a KNIME account required)
3. Open KNIME Analytics Platform and import the downloaded Agentic AI Learnathonknar file by clicking "Import Workflow". A new folder will appear in your local space.
4. Open the Agentic AI Learnathon folder and open the Install Extensions workflow. Follow the instructions in the pop-up window to install the necessary extensions.

You're ready to go. See you at the KNIME Learnathon!

Event Mordertors and Speakers:

Sanket Joshi, Data Scientist at KNIME

Ellen Amodei, Solution Engineer at KNIME

Marcell Palfi, IT Business Analyst at MIKRUM

Bertold Balazs, Managing Consultant at IFUA Horváth

GáborZombory, AI Engineer at Hungarian Research Network (HUN-REN)