Launch of Smart Attica EDIH’s Training Modules for SMEs

GRNET, in the context of Smart Attica EDIH (European Digital Innovation Hub), announces a series of six specialized training modules designed to empower Small and Medium-sized Enterprises (SMEs) with cutting-edge knowledge in Artificial Intelligence (AI), High-Performance Computing (HPC), High-Performance Data Analytics (HPDA) and Machine Learning (ML). These online sessions, conducted in Greek, aim to enhance the digital capabilities of businesses, providing them with practical skills to thrive in the modern technological landscape.

The modules are tailored to meet the needs of anyone (but mainly researchers in all fields, developers, AI, ML & LLM experts), keen to adopt AI and HPC technologies. Participants will gain practical knowledge and hands-on experience, enabling them to implement these technologies effectively within their organizations.

How to Register:

Interested individuals are encouraged to visit the dedicated Smart Attica EDIH page for more information and to register for the modules that align with their interests.

Modules Overview:

  1. Introduction to Artificial Intelligence and High-Performance Computing
    • Date: March 13th, 2025, at 11:00 EET
    • Description: A foundational course offering insights into AI and HPC, tailored for SMEs eager to integrate these technologies into their operations.
    • More: Module 1 Details & Registration
  2. Introduction to Large Language Models
    • Date: March 14th, 2025, at 11:00 EET
    • Description: This module provides a practical introduction to Large Language Models (LLMs) and their applications, focusing on setting up the necessary computational environment and using the Transformers library. Participants will engage in hands-on activities to download, configure, and utilize LLMs, including generating text and working with embeddings.
    • More: Module 2 Details & Registration
  3. Developing Your Custom Chatbot with Ease
    • Date: March 20th, 2025, at 11:00 EET
    • Description: A hands-on session guiding participants through the process of creating personalized chatbots, leveraging AI to enhance customer engagement and service efficiency.
    • More: Module 3 Details & Registration
  4. Data Science Fundamentals: Part A – Introduction to Machine Learning
    • Date: March 21st, 2025, at 11:00 EET
    • Description: Discover the basics of Machine Learning. Learn key concepts, algorithms and how to apply ML techniques to real-world business challenges.
    • More: Module 4 Details & Registration
  5. Data Science Fundamentals: Part B – Linear Regression
    • Date: March 27th, 2025, at 11:00 EET
    • Description: Delve into the fundamentals of linear regression. Understand how this powerful statistical method can be used to analyze data and make predictions.
    • More: Module 5 Details & Registration
  6. Data Science Fundamentals: Part C – Decision Trees
    • Date: March 28th, 2025, at 11:00 EET
    • Description: Learn how decision trees work! Explore this intuitive machine learning technique for classification and decision-making in business applications.
    • More: Module 6 Details & Registration
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