Two weeks of Learning, Growth, and Innovation
22nd July 2025
Author: Markela Kerkezou
At Core, we pride ourselves on continuous growth and learning. That’s why we recently took a step back from our day-to-day tasks to dedicate time and energy on something we deeply value: deepening our knowledge and skills through a series of internal trainings! We paused our usual rhythm for some workshops, diving into LLMs, AI Agents, Multi-Agent Systems, and Proposal Writing.
Workshop 1 | LLM Fundamentals
We kicked off by diving into the foundations of LLMs: how they work, how they’re built, and how they can be applied across real-world tasks. The session covered everything from model architecture to prompt engineering, and Retrieval Augmented Generation (RAG), with hands-on examples using Ollama, and LM Studio. The goal? To build a solid understanding that empowers every team member to explore and experiment.
Workshop 2 | Proposal Writing Workshop
This 2-full-days Workshop (a full 16 hours of content!) took us deep into the anatomy of a successful Horizon Europe proposal.
Day 1 was all about building a strong theoretical foundation: We explored the power of storytelling, how to shape an idea into a concept, and how to select the right topic. We worked through practical exercises to understand what adds real value in a proposal (and what doesn’t), and we picked up tips and tricks for writing and structuring proposals effectively.
Day 2 was Game Day!
We played the Proposal Writing Game, a custom card-based game designed by CORE to simulate the proposal development process. Through the game, we practiced combining technologies, choosing strategic partners, and, of course, adapting to the budget. At the end, our internal evaluators stepped in to assess which proposals would get funded.
Workshop 3 | AI Agents Fundamentals
The next step took us into the evolving world of Agentic AI. We explored how autonomous agents can reason, use tools, and take actions to achieve goals, even in open-ended environments. During this Workshop, we explored AI Agents key terms, agent architecture components and building blocks, and Agentic AI stack and frameworks. The session helped us connect the dots between core concepts and real-world tools, like Google’s ADK, which we used in our hand-on examples.
Workshop 4 | Multi-Agent Systems
Our final workshop zoomed out to look at the big picture; how agents can work together. Things got more technical: we explored Multi-Agent Systems, Agent Communication Protocols (A2A), orchestration patterns (hierarchical vs cooperative) and use cases where distributed AI teams outperform single-agent approaches. The hands-on examples made the complexity of multi-agent systems much easier to grasp, and surprisingly fun to explore!
And we are not stopping here. More workshops are already in the works. At CORE continuous learning isn’t a one-off initiative; it’s a mindset.
We're taking the time to invest in our people, because this is how we grow stronger, together.
