The GÉANT project’s Network Development team is excited to release a new learning unit in the AI section of GÉANT Network Automation eAcademy: “Neural Networks and Deep Learning.”
Part of the “Intelligence Management” track, the course provides a deep dive into neural networks, their underlying principles, and their role in modern AI. Whether you’re looking to understand how neural networks function, how deep learning enhances their capabilities, or how these technologies are applied in real-world scenarios, this unit is designed to guide you through it all.
The course covers key topics such as the fundamentals of neural networks, including neurons, activation functions, and training processes. It then explores advanced deep learning architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Transformers, and Generative Adversarial Networks (GANs). Finally, the unit provides a hands-on experience in building, training, and deploying deep learning models using Python, TensorFlow, and Keras.
Access the course here: https://e-academy.geant.org/moodle/course/view.php?id=627 (login required).
Course duration: 2 hours
Trainer: Bojana Koteska, Ss. Cyril and Methodius University in Skopje
Visit our training portal for more information and to access all Network Automation eAcademy units and the interactive training map: https://wiki.geant.org/display/NETDEV/Network+Automation+Training.
And don’t miss the chance to join our monthly open meetings. On the first Tuesday of every month, trainers and experts in the Network eAcademy are available during one-hour calls to answer all your questions and collect your feedback and training requests. Simply contact the Network Automation team at network-eacademy@lists.geant.org to receive the link to join the session.
