Valmet
Learning sprint on Generative AI and Large Language Models: Valmet developers level up

About
Approach
Valmet’s team of 14 developers wanted to upskill in AI-related topics, focusing on gaining practical knowledge in GenAI and LLMs. With AI evolving fast, they needed more than just theory; they wanted to apply AI to real-world projects and feel confident using these technologies in their day-to-day work.
The sprint
The learning sprint, led by Iván, was structured to give the team a comprehensive understanding of GenAI and LLMs while emphasizing hands-on learning. The sprint was tailored to meet Valmet’s needs, ensuring that the developers could:
- Grasp the foundational concepts of GenAI
- Experiment with real-world applications like Retrieval-Augmented Generation (RAG) in their projects.
- Build confidence to integrate these AI tools into their workflow.

Outcome
The feedback from Valmet’s developers was positive. Here are some of their reflections:
“I managed to get a general understanding of GenAI, which was exactly the target of the course!”
“I made a fun little magic: A Proof of Concept (PoC) with RAG!”
This feedback speaks to the effectiveness of learning by doing. The team didn’t just learn AI concepts—they applied them immediately.
Why learning sprints work
- Focused content: By zeroing in on GenAI and LLMs, we ensured the team was able to understand relevant topics.
- Practical application: Each developer had the chance to experiment and build during the sprint, making the learning experience stick.
- Expert coaching: With Iván Moreno’s expertise, the team received tailored guidance and support, which boosted their confidence and competence in AI development.
The partnership between Splended and Nieve Consulting, as demonstrated by their success with Valmet, reinforces the belief that hands-on, tailored learning sprints are the way forward for upskilling tech teams in cutting-edge areas like AI.