GRNET announces, in the context of SmartAttica EDIH (European Digital Innovation Hub), the 9th Module of Τraining modules for SMEs with the subject "Applying Machine Learning to Solve Real-world Challenges".
Date: June 30th, 2025, at 12:00 EET
Location: Online via Zoom
Presentation Languages: Greek
Instructor: Dr. Nikolaos Bakas (GRNET), Panagiota Gyftou
Description:
This interactive seminar is designed for professionals from SMEs who are ready to move from theory to practice. Each participant will select a topic of interest and analyze a dataset using AI/ML techniques, train machine learning models, or utilize LLMs powered by Retrieval-Augmented Generation (RAG). The seminar focuses on refining the use case through feedback from instructors and peers, while it is dedicated to hands-on development and presentation of results. This seminar emphasizes real-world application, peer learning, and guided expert support to help participants turn concepts into pilot outcomes.
Target Audience:
Professionals from Small and Medium-sized Enterprises (SMEs) with foundational knowledge of AI/ML, interested in applying these techniques to practical problems within their organization. Ideal for data analysts, software developers, technical leads, and innovation managers.
Learning Objectives:
-
Translate business needs into AI/ML project objectives.
-
Receive expert and peer feedback to refine project scope.
-
Apply AI/ML techniques using Python or LLMs frameworks.
-
Evaluate outcomes and present findings or a prototype.
Prerequisites:
-
Basic understanding of AI/ML concepts (e.g., supervised/unsupervised learning, embeddings).
-
Familiarity with Python programming and relevant libraries (e.g., scikit-learn, numpy, pandas, transformers).
-
Prior participation in foundational seminars (e.g., ensemble methods, unsupervised learning, rag) is strongly recommended.
Indicative Contents:
-
Welcome & Overview
-
Review of the material
-
Participant Use Cases
-
Instructor & Peer Feedback
-
Guidance on tools and implementation strategies
-
Individual Work Session: Planning & Setup
-
Hands-on Project Work
-
Troubleshooting & Support
-
Final Presentations & Peer Review
-
Discussion: Lessons Learned & Next Steps
The project is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
