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DIDATTICO","\u003Ch1 class=\"fw-semibold text-uppercase\">AI Agentic \u003Cspan class=\"text-color-primary-400\">Applications\u003C/span>\u003C/h1>\n","\u003Cp class=\"font-size-body-1 text-color-grey-800\">Il corso più avanzato in Italia per orchestrare workflow agentici e sfruttare la potenza dei migliori LLMs custom e della RAG per trasformare radicalmente tutti i processi aziendali.\u003C/p>\n","\u003Ch2>Descrizione\u003C/h2>\n\u003Cp class=\"font-size-body-1\">Il corso è composto da 7 workshop di 3 ore circa, nei quali si approfondiranno teoria e tecniche per operazioni di fine-tuning e RAG (Retrieval-Augmented Generation) , sfruttando LLMs (Large Language Models) sia in cloud che in locale. Implementazione di metodologie allo stato dell’arte, come Chain-of-Though, nella realizzazione di agenti autonomi che, grazie agli LLMs, sono in grado di selezionare la sequenza di azioni più consona per lo svolgimento di task, anche complessi, per poi eseguire le singoli azioni previste, potendo gestire eventuali anomalie o errori in completa autonomia.\u003C/p>\n",{"title":789,"list":790,"link":783},"DOMANDE FREQUENTI",[791,794,797,800,803,806],{"title":792,"text":793},"Quali competenze sono necessarie per seguire il modulo AI Agentic Applications?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Per seguire questo modulo sono necessarie competenze preliminari specifiche di Python.\u003C/span>\u003C/p>\n",{"title":795,"text":796},"Quali sono i principali argomenti trattati nel modulo AI Agentic Applications?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Il modulo AI Agentic Applications copre i seguenti argomenti principali: Introduzione agli LLM e NO-Code / LOW-Code, Introduzione a LangChaing e Prompt Templating, RAG e Vector DB, Agentic Applications.\u003C/span>\u003C/p>\n",{"title":798,"text":799},"Quali nozioni principali posso apprendere al termine del modulo AI Agentic Applications?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Al termine del modulo AI Agentic Applications sarai in grado di applicare teoria e tecniche per operazioni di fine-tuning e RAG (Retrieval Augmented Generation) utilizzando Large Language Models (LLMs) sia in cloud che in locale. Sarai capace di implementare metodologie allo stato dell’arte, come Chain-of-Thought, per realizzare agenti autonomi capaci di selezionare ed eseguire la sequenza di azioni più appropriata per completare task complessi, gestendo eventuali anomalie o errori in completa autonomia.\u003C/span>\u003C/p>\n",{"title":801,"text":802},"Al termine del modulo sono previsti un esame finale e una certificazione?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">L’esame finale e la certificazione sono previsti per i corsi Data Masters, non per i singoli moduli.\u003C/span>\u003C/p>\n",{"title":804,"text":805},"Il materiale del modulo è scaricabile? Posso rivedere le lezioni?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\">Tutti i materiali (slide, materiale per esercitazioni, ecc.) sono scaricabili, mentre tutte le lezioni possono essere riviste in qualsiasi momento.\u003C/span>\u003C/p>\n",{"title":807,"text":808},"In caso di dubbi e domande, è disponibile assistenza da parte dei docenti?","\u003Cp class=\"fw-regular font-size-body-1\">\u003Cspan class=\"text-color-grey-800\" >Certamente, durante il modulo AI Agentic Applications è disponibile assistenza continua da parte dei nostri docenti per qualsiasi dubbio o domanda.\u003C/span>\u003C/p>\n",[810,813,817,820],{"icon":811,"caption":71,"text":812},"icon-level","Da Beginner ad Advanced",{"icon":814,"caption":815,"text":816},"icon-round-check","PREREQUISITI","Python per la ds",{"icon":818,"caption":70,"text":819},"icon-calendar","19 ore",{"icon":821,"caption":822,"text":823},"icon-lessons","LEZIONI","100% on demand",[825,835,850,861,880,895,910],{"title":826,"items":827},"Introduzione ai Large Language Models",[828,831,833],{"title":829,"text":830},"Fondamenti sui Large Language Models, storia, casi d’uso tipici","\u003Cp>\u003Cspan class=\"text-color-grey-700\">Nessun dettaglio\u003C/span>\u003C/p>\n",{"title":832,"text":830},"Focus su Spazi Latenti e Vettori di Incorporamento (Embeddings)",{"title":834,"text":830},"Utilizzo di modelli in Cloud e in Locale (Ollama - 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Model Context Protocol",{"title":911,"items":912},"Applicazioni Agentiche Avanzate",[913,915,917,919,921,923,925],{"title":914,"text":830},"Strategie di Task Decomposition",{"title":916,"text":830},"Middleware",{"title":918,"text":830},"Implementazione della tecnica di Tree-of-thoughts, Chain-of-thoughts, Custom ReAct DocStore",{"title":920,"text":830},"Implementazione di metodologie agentiche avanzate: Plan-and-execute, Self-RAG e Self-Discover",{"title":922,"text":830},"Introduzione a strumenti low-code/no-code per lo sviluppo di applicazioni agentiche",{"title":924,"text":830},"Metriche per Applicazioni Agentiche",{"title":926,"text":830},"Project Work - dall'embeddizzazione alla misurazione tramite benchmark, un sistema di QA completo",{"list":928,"intro":958},[929],{"id":356,"date":930,"title":357,"description":931,"url":354,"image":932,"duration":940,"prerequisite":941,"live":942,"regular_price":943,"offer_price":944,"taxonomies":945,"level":343,"type":169,"label":224,"label_style":225},"2024-08-21T15:57:59+02:00","Il corso più avanzato in Italia per sviluppare agenti AI operativi utilizzando LangChain 1.x, tecniche RAG scalabili e integrazioni MCP, progettando workflow intelligenti e architetture agentiche pronte per la produzione.",{"id":933,"title":934,"filename":935,"filesize":936,"url":937,"alt":54,"description":54,"caption":54,"mime_type":748,"width":938,"height":939},26774,"agentic","agentic.jpg",282594,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/agentic.jpg",1280,720,"18 Ore","Python, Generative AI, Data Engineering","7 Sessioni Live con i docenti","1800€","897€",{"type":946,"level":948,"price":950,"skill":952,"cat":956},[947],"corsi",[949],"avanzato",[951],"500-1000",[953,954,955],"fondamenti-di-generative-ai-e-large-language-models","prompt-engineering","langchain",[957],"generative-ai","\u003Ch3 style=\"text-align: center;\">PUOI TROVARE\u003Cbr />\nQUESTO \u003Cspan class=\"text-color-primary-400\">MODULO DIDATTICO\u003C/span> IN\u003C/h3>\n",1777976855880]