{"id":71,"date":"2024-06-26T16:19:41","date_gmt":"2024-06-26T14:19:41","guid":{"rendered":"https:\/\/as-ai.org\/?page_id=71"},"modified":"2025-02-25T10:23:22","modified_gmt":"2025-02-25T09:23:22","slug":"all-courses","status":"publish","type":"page","link":"https:\/\/as-ai.org\/?page_id=71&lang=en","title":{"rendered":"Advanced course of Artificial Intelligence"},"content":{"rendered":"\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-dd82e0e\" data-block-id=\"dd82e0e\"><p class=\"stk-block-text__text has-text-align-justify\">The student can choose to attend <strong>all modules<\/strong> (Full School) or can select among <strong>different modules<\/strong> to build the personalized learning and training path based on her\/his project, learning needs, and interests.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-f893259\" data-block-id=\"f893259\"><p class=\"stk-block-text__text has-text-align-justify\">You can compute the cost of your personalised learning path through the Pre-enrollment form <a href=\"https:\/\/as-ai.org\/?page_id=494\">here<\/a>.<\/p><\/div>\n\n\n\n<table class=\" aligncenter\" style=\"height: 100%; width: 112.313%; border-collapse: collapse; border-style: solid;\">\n<tbody>\n<tr style=\"height: 41px;\">\n<td style=\"width: 16.6667%; background-color: #1d8ecd; height: 41px;\"><span style=\"color: #ffffff;\"><b> \ud83c\udfeb MODULES<\/b><\/span><\/td>\n<td style=\"width: 16.6667%; background-color: #1d8ecd; height: 41px;\"><span style=\"color: #ffffff;\"><b>\u23f3HOURS<\/b><\/span><\/td>\n<td style=\"width: 16.6667%; background-color: #1d8ecd; height: 41px;\"><span style=\"color: #ffffff;\"><b>\ud83d\udcd6\u00a0COURSES<\/b><\/span><\/td>\n<td style=\"width: 20.9694%; background-color: #1d8ecd; height: 41px;\"><span style=\"color: #ffffff;\"><b>\u23f3 HOURS<\/b><\/span><\/td>\n<td style=\"width: 15.6281%; background-color: #1d8ecd; height: 41px;\"><span style=\"color: #ffffff;\"><b>TEACHER<\/b><\/span><\/td>\n<td style=\"width: 17.0544%; background-color: #1d8ecd; height: 41px;\"><span style=\"color: #ffffff;\"><b>PROPAEDEUTICITIES<\/b><b><br \/><\/b><\/span><\/td>\n<\/tr>\n<tr style=\"height: 41px;\">\n<td style=\"width: 16.6667%; height: 41px;\"><span style=\"font-weight: 400;\">FULL SCHOOL<\/span><\/td>\n<td style=\"width: 16.6667%; height: 41px; text-align: center;\">262<\/td>\n<td style=\"width: 16.6667%; height: 41px;\"><span style=\"font-weight: 400;\">ALL COURSES<\/span><\/td>\n<td style=\"width: 20.9694%; height: 41px; text-align: center;\">262<\/td>\n<td style=\"width: 15.6281%; height: 41px;\"><span style=\"font-weight: 400;\">All<\/span><\/td>\n<td style=\"width: 17.0544%; height: 41px; text-align: center;\"><span style=\"font-weight: 400;\">&#8211;<\/span><\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 16.6667%; height: 227px;\" rowspan=\"5\"><span style=\"font-weight: 400;\">INTRODUCTION AND SEMINARS<\/span><br \/><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"><br \/><\/span><\/td>\n<td style=\"width: 16.6667%; height: 227px; text-align: center;\" rowspan=\"5\">16<\/td>\n<td style=\"width: 16.6667%; height: 62px;\">Introduction to the School and AI<\/td>\n<td style=\"width: 20.9694%; height: 62px; text-align: center;\">4<\/td>\n<td style=\"width: 15.6281%; height: 62px;\">Baldassarre \/ Caligiore<\/td>\n<td style=\"width: 17.0544%; text-align: center; height: 227px;\" rowspan=\"5\"><span style=\"font-weight: 400;\">No propadeuticity\u00a0<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><br \/><span style=\"font-weight: 400;\"><br \/><\/span><\/td>\n<\/tr>\n<tr style=\"height: 41px;\">\n<td style=\"width: 16.6667%; height: 41px;\">Job in the digital era<\/td>\n<td style=\"width: 20.9694%; height: 41px; text-align: center;\">4<\/td>\n<td style=\"width: 15.6281%; height: 41px;\">Morabito<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 16.6667%; height: 83px;\">Prosthetics and biomedical robotics<\/td>\n<td style=\"width: 20.9694%; height: 83px; text-align: center;\">4<\/td>\n<td style=\"width: 15.6281%; height: 83px;\">Zollo<\/td>\n<\/tr>\n<tr style=\"height: 41px;\">\n<td style=\"width: 16.6667%; height: 41px;\">Robotics for Elder Care<\/td>\n<td style=\"width: 20.9694%; height: 41px; text-align: center;\">2<\/td>\n<td style=\"width: 15.6281%; height: 41px;\">Fracasso\u00a0<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 16.6667%;\">Collective Intelligence for Decision Support: Theory, Practice and Applications in Medical Diagnostics<\/td>\n<td style=\"width: 20.9694%; text-align: center;\">2<\/td>\n<td style=\"width: 15.6281%;\">Trianni<\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 16.6667%; height: 208px;\" rowspan=\"2\"><span data-sheets-root=\"1\">PYTHON PROGRAMMING AND DEPLOYMENT<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><\/td>\n<td style=\"width: 16.6667%; height: 208px; text-align: center;\" rowspan=\"2\">38<\/td>\n<td style=\"width: 16.6667%; height: 104px;\">Python, Basic programming tools (Anaconda, Colab)<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 104px;\">28<\/td>\n<td style=\"width: 15.6281%; height: 104px;\">Tamantini<\/td>\n<td style=\"width: 17.0544%; height: 208px;\" rowspan=\"2\"><span style=\"font-weight: 400;\"> No propadeuticity<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 16.6667%; height: 104px;\"><span data-sheets-root=\"1\">Application Versioning (github) and Deployment (docker, web app)<\/span><\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 104px;\">10<\/td>\n<td style=\"width: 15.6281%; height: 104px;\">Moscatelli<\/td>\n<\/tr>\n<tr style=\"height: 28px;\">\n<td style=\"width: 16.6667%; height: 182px;\" rowspan=\"4\">MATHS AND PROGRAMMING<br \/><span style=\"font-weight: 400;\">\u00a0<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><br \/><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><\/td>\n<td style=\"width: 16.6667%; height: 182px; text-align: center;\" rowspan=\"4\">30<\/td>\n<td style=\"width: 16.6667%; height: 28px;\">Maths for AI<\/td>\n<td style=\"width: 20.9694%; height: 28px; text-align: center;\">12<\/td>\n<td style=\"width: 15.6281%; height: 28px;\"><span style=\"font-weight: 400;\">Baldassarre<\/span><\/td>\n<td style=\"width: 17.0544%; height: 182px;\" rowspan=\"4\"><span style=\"font-weight: 400;\">No propaedeuticity<\/span><br \/>\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 78px;\">\n<td style=\"width: 16.6667%; height: 78px;\">Linear Algebra for AI with Python<\/td>\n<td style=\"width: 20.9694%; height: 78px; text-align: center;\">10<\/td>\n<td style=\"width: 15.6281%; height: 78px;\"><span style=\"font-weight: 400;\">Caligiore<\/span><\/td>\n<\/tr>\n<tr style=\"height: 53px;\">\n<td style=\"width: 16.6667%; height: 53px;\">Basic statistic for AI<\/td>\n<td style=\"width: 20.9694%; height: 53px; text-align: center;\">4<\/td>\n<td style=\"width: 15.6281%; height: 53px;\"><span style=\"font-weight: 400;\">Capirchio<\/span><\/td>\n<\/tr>\n<tr style=\"height: 86px;\">\n<td style=\"width: 16.6667%; height: 23px;\">Probability theory for AI<\/td>\n<td style=\"width: 20.9694%; height: 23px; text-align: center;\">4<\/td>\n<td style=\"width: 15.6281%; height: 23px;\">Cartoni<\/td>\n<\/tr>\n<tr style=\"height: 81px;\">\n<td style=\"width: 16.6667%; height: 143px;\" rowspan=\"4\">MACHINE LEARNING BASICS <span style=\"font-weight: 400;\">\u00a0<\/span><br \/><span style=\"font-weight: 400;\">\u00a0<\/span><\/td>\n<td style=\"width: 16.6667%; height: 143px; text-align: center;\" rowspan=\"4\">58<\/td>\n<td style=\"width: 16.6667%; height: 51px;\">Big data analysis with Pandas<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 51px;\">8<\/td>\n<td style=\"width: 15.6281%; height: 51px;\">Cecconi<\/td>\n<td style=\"width: 17.0544%; height: 143px;\" rowspan=\"4\">\n<p>\u00a0<\/p>\n<span style=\"font-weight: 400;\">Python programming and Deployment, Maths and programming<\/span><br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 15px;\">\n<td style=\"width: 16.6667%; height: 15px;\">Numerical optimisation<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 15px;\">8<\/td>\n<td style=\"width: 15.6281%; height: 15px;\">Carli<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 16.6667%; height: 29px;\">Machine Learning<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 29px;\">28<\/td>\n<td style=\"width: 15.6281%; height: 29px;\">Merone<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 16.6667%; height: 48px;\">Elements of deep learning<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 48px;\">14<\/td>\n<td style=\"width: 15.6281%; height: 48px;\">Capirchio<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 16.6667%; height: 608px;\" rowspan=\"8\">MACHINE LEARNING ADVANCED<\/td>\n<td style=\"width: 16.6667%; height: 608px; text-align: center;\" rowspan=\"8\">70<\/td>\n<td style=\"width: 16.6667%; height: 83px;\">Deep Learning for computer vision<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 83px;\">12<\/td>\n<td style=\"width: 15.6281%; height: 83px;\">Capirchio<\/td>\n<td style=\"width: 17.0544%; height: 608px;\" rowspan=\"8\">\n<p><span style=\"font-weight: 400;\"><span data-sheets-root=\"1\">\u00a0<\/span><\/span><\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<br \/>\n<p>\u00a0<\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<span style=\"font-weight: 400;\"><span data-sheets-root=\"1\">Python programming and Deployment, Maths and programming, Machine Learning Basics<\/span><\/span><br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\"><span data-sheets-root=\"1\">\u00a0<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 16.6667%; height: 83px;\">AI Lab: ML vs deep network for motion perception<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 83px;\">4<\/td>\n<td style=\"width: 15.6281%; height: 83px;\">Tamantini<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 16.6667%; height: 62px;\">Natural Language Processing<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 62px;\">12<\/td>\n<td style=\"width: 15.6281%; height: 62px;\">Reforgiato<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 16.6667%; height: 62px;\">AI Lab: Deep networks for NLP<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 62px;\">8<\/td>\n<td style=\"width: 15.6281%; height: 62px;\">DePersis<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 16.6667%; height: 62px;\">Time series analysis, Transformers<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 62px;\">16<\/td>\n<td style=\"width: 15.6281%; height: 62px;\">Bacco \/ D&#8217;Antoni<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 16.6667%; height: 48px;\">Data augmentation<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 48px;\">4<\/td>\n<td style=\"width: 15.6281%; height: 48px;\">D&#8217;Amore<\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 16.6667%; height: 104px;\">Large Language Models: prompting, RAG<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 104px;\">8<\/td>\n<td style=\"width: 15.6281%; height: 104px;\">Basile<\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 16.6667%; height: 104px;\">Development and Deployment of LLM Web App<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 104px;\">6<\/td>\n<td style=\"width: 15.6281%; height: 104px;\">Gnocchi<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 16.6667%; height: 338px;\" rowspan=\"4\">BRAIN MODELLING<\/td>\n<td style=\"width: 16.6667%; height: 338px; text-align: center;\" rowspan=\"4\">34<\/td>\n<td style=\"width: 16.6667%; height: 48px;\">AI for system neuroscience<\/td>\n<td style=\"width: 20.9694%; height: 48px; text-align: center;\">4<\/td>\n<td style=\"width: 15.6281%; height: 48px;\">Baldassarre \/ Caligiore<\/td>\n<td style=\"width: 17.0544%; height: 338px;\" rowspan=\"4\">\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400;\"> <span data-sheets-root=\"1\">Python programming and Deployment, Maths and programming<\/span><\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 16.6667%; height: 83px;\">Probabilistic computational models of brain<\/td>\n<td style=\"width: 20.9694%; height: 83px; text-align: center;\">12<\/td>\n<td style=\"width: 15.6281%; height: 83px;\">Cartoni<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 16.6667%; height: 83px;\">Firing-rate computational models of brain<\/td>\n<td style=\"width: 20.9694%; height: 83px; text-align: center;\">12<\/td>\n<td style=\"width: 15.6281%; height: 83px;\">Baldassarre<\/td>\n<\/tr>\n<tr style=\"height: 124px;\">\n<td style=\"width: 16.6667%; height: 124px;\">Modelling brain disorders through differential equations<\/td>\n<td style=\"width: 20.9694%; height: 124px; text-align: center;\">6<\/td>\n<td style=\"width: 15.6281%; height: 124px;\">Caligiore<\/td>\n<\/tr>\n<tr style=\"height: 166px;\">\n<td style=\"width: 16.6667%; height: 228px;\" rowspan=\"2\">ETHICAL AND LEGAL ASPECTS OF AI<\/td>\n<td style=\"width: 16.6667%; height: 228px; text-align: center;\" rowspan=\"2\">12<\/td>\n<td style=\"width: 16.6667%; height: 166px;\">AI impact: individual, social, and technological anchors when everything changes<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 166px;\">8<\/td>\n<td style=\"width: 15.6281%; height: 166px;\">Baldassarre<\/td>\n<td style=\"width: 17.0544%; height: 228px;\" rowspan=\"2\">\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> No propaedeuticity<\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 16.6667%; height: 62px;\">EU and national AI legislation<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 62px;\">4<\/td>\n<td style=\"width: 15.6281%; height: 62px;\">Fasano<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 16.6667%; height: 48px;\">STUDENT ASSESSMENT<\/td>\n<td style=\"width: 16.6667%; text-align: center; height: 48px;\">4<\/td>\n<td style=\"width: 16.6667%; height: 48px;\">Final students test<\/td>\n<td style=\"width: 20.9694%; text-align: center; height: 48px;\">4<\/td>\n<td style=\"width: 15.6281%; height: 48px;\">Caligiore<\/td>\n<td style=\"width: 17.0544%; height: 48px;\">\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The student can choose to attend all modules (Full School) or can select among different modules to build the personalized learning and training path based on her\/his project, learning needs, and interests. You can compute the cost of your personalised learning path through the Pre-enrollment form here. \ud83c\udfeb MODULES \u23f3HOURS \ud83d\udcd6\u00a0COURSES \u23f3 HOURS TEACHER PROPAEDEUTICITIES &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/as-ai.org\/?page_id=71&#038;lang=en\" class=\"more-link\">Leggi tutto<span class=\"screen-reader-text\"> &#8220;Advanced course of Artificial Intelligence&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-71","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages\/71","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/as-ai.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=71"}],"version-history":[{"count":78,"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages\/71\/revisions"}],"predecessor-version":[{"id":1252,"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages\/71\/revisions\/1252"}],"wp:attachment":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=71"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}