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DIDATTICO","\u003Ch1 class=\"fw-semibold text-uppercase\">OpenAI \u003Cspan class=\"text-color-primary-400\">Agents SDK\u003C/span>\u003C/h1>\n","\u003Cp class=\"font-size-body-1 text-color-grey-800\">La Guida completa al Software Development Kit di OpenAI per costruire agenti AI intelligenti, autonomi e pronti per essere integrati in prodotti e processi reali.\u003C/p>\n","\u003Ch2>Descrizione\u003C/h2>\n\u003Cp class=\"font-size-body-1\">Scopri come costruire un assistente AI agentico davvero intelligente: MAYA (Manage Automate Your Agenda). Un corso breve, concreto e ad altissimo impatto, pensato per chi vuole andare oltre i prompt e progettare sistemi AI che decidono, automatizzano e imparano.\u003Cbr />\nDalla teoria alla pratica: partiamo dalle architetture fondamentali degli agenti AI per costruire il “cervello” di MAYA, capace di selezionare tool, ragionare e agire in autonomia. Poi lo colleghiamo al mondo reale: grazie al Model Context Protocol e alle API di Google Workspace, MAYA aiuta a gestire la propria email, il proprio calendario e molto altro. \u003Cspan style=\"letter-spacing: -0.4px;\">Un corso ideale per developer, product designer, manager e chiunque voglia creare AI agentici davvero utili e produttivi.\u003C/span>\u003C/p>\n",{"title":789,"list":790,"link":783},"DOMANDE FREQUENTI",[791,794,797,800,803,805,808],{"title":792,"text":793},"Cosa sono gli agenti ai?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Un agente AI è un sistema basato su intelligenza artificiale progettato per ragionare, prendere decisioni e agire in modo autonomo per raggiungere degli obiettivi. A differenza di un semplice modello conversazionale che risponde a input testuali, un agente AI elabora le informazioni usando modelli di linguaggio o altre tecniche di AI, e interagisce con strumenti esterni, come database, API, documenti o software, per eseguire compiti complessi.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">In pratica, un agente AI può pianificare una sequenza di azioni, adattarsi in base ai risultati ottenuti e migliorare nel tempo.\u003C/span>\u003C/p>\n",{"title":795,"text":796},"Qual è la differenza tra un chatbot e un agente AI?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">La differenza principale tra un chatbot e un Agente AI sta nel livello di intelligenza e autonomia.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">Un chatbot tradizionale è progettato per rispondere a domande o seguire script predefiniti: si limita a interagire tramite messaggi, spesso all’interno di confini molto precisi (come fornire informazioni o gestire assistenza clienti).\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">Un agente AI, invece, va oltre la conversazione. È in grado di capire obiettivi complessi, ragionare in più passaggi, accedere a dati esterni e agire in modo autonomo. Può, ad esempio, analizzare documenti, eseguire calcoli, scrivere email, aggiornare sistemi o prendere decisioni in base al contesto.\u003C/span>\u003C/p>\n",{"title":798,"text":799},"Che vantaggi porta alle aziende l’utilizzo di agenti ai?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">L’utilizzo di agenti AI offre alle aziende vantaggi significativi in termini di efficienza.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">Innanzitutto, permettono di automatizzare processi complessi che richiedono ragionamento o analisi, riducendo tempi e costi operativi. Possono gestire attività ripetitive con una precisione e una velocità superiori a quelle umane.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">Inoltre, gli agenti AI sono scalabili: lavorano 24 ore al giorno, si adattano ai cambiamenti dei flussi di lavoro e apprendono dai risultati per migliorare nel tempo.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">Ma il vantaggio più strategico è la trasformazione dei processi decisionali: grazie alla capacità di raccogliere, collegare e interpretare grandi quantità di informazioni, gli agenti AI possono aiutare le aziende e le persone che ne fanno parte a prendere decisioni più rapide, informate e data-driven, favorendo l’innovazione e la competitività sul mercato.\u003C/span>\u003C/p>\n",{"title":801,"text":802},"Cos’è il Model Context Protocol (MCP) ?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Il Model Context Protocol è uno standard aperto creato da OpenAI per connettere agenti AI a dati, API e strumenti esterni in modo sicuro e scalabile.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">In pratica, consente a un agente di “capire” e utilizzare risorse del mondo reale, come Gmail, Google Calendar, database aziendali o sistemi interni, senza dover riscrivere integrazioni ogni volta.\u003C/span>\u003Cbr />\n\u003Cspan class=\"text-color-grey-800\">Nel corso imparerai a configurare un server MCP e a usarlo per fornire a un agente informazioni e tool aziendali, creando così un ecosistema AI realmente operativo, capace di lavorare con dati aggiornati, rispettare permessi e gestire connessioni multiple in modo standardizzato.\u003C/span>\u003C/p>\n",{"title":804,"text":802},"Quanto sono richieste sul mercato le competenze in AI Agentica?",{"title":806,"text":807},"Posso usare OpenAI Agents SDK per creare agenti su misura per la mia azienda?","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Sì. 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