{"id":3283,"date":"2025-10-13T15:23:05","date_gmt":"2025-10-13T13:23:05","guid":{"rendered":"https:\/\/cloudsandtraining.net\/site\/?page_id=3283"},"modified":"2025-11-12T09:30:43","modified_gmt":"2025-11-12T08:30:43","slug":"c116-prompt-engineering-avanzato-larte-di-dialogare-con-lintelligenza-artificiale-generativa","status":"publish","type":"page","link":"https:\/\/cloudsandtraining.net\/site\/catalogo-corsi-fad\/area-ai-programmazione-data-science-e-big-data\/c116-prompt-engineering-avanzato-larte-di-dialogare-con-lintelligenza-artificiale-generativa\/","title":{"rendered":"C116 \u2013 Prompt Engineering Avanzato: l\u2019arte di dialogare con l\u2019Intelligenza Artificiale Generativa"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3283\" class=\"elementor elementor-3283\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5a2982e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5a2982e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-80bb755\" data-id=\"80bb755\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c2471b4 elementor-widget elementor-widget-text-editor\" data-id=\"c2471b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Obiettivo del corso<\/strong><\/p><article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-68ca7d25-ac50-8327-839e-c85e82af8951-4\" data-testid=\"conversation-turn-96\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"b2dc2b5b-3fd2-4dbc-90c4-6a5b76722bea\" data-message-model-slug=\"gpt-5\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\"><article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-68ca7d25-ac50-8327-839e-c85e82af8951-5\" data-testid=\"conversation-turn-98\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"4a1fbef7-ebbb-4748-8497-4929bc5bc8cb\" data-message-model-slug=\"gpt-5\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\"><article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-68ca7d25-ac50-8327-839e-c85e82af8951-6\" data-testid=\"conversation-turn-100\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"a5fb3168-07fc-4cef-80da-0602ffe35a27\" data-message-model-slug=\"gpt-5\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\"><article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-68ca7d25-ac50-8327-839e-c85e82af8951-19\" data-testid=\"conversation-turn-126\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9b5a2caf-caa5-4f09-90b5-4c6dd201bf77\" data-message-model-slug=\"gpt-5-mini\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\"><article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-68ca7d25-ac50-8327-839e-c85e82af8951-23\" data-testid=\"conversation-turn-134\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"c3bf54f2-4975-4d41-b4fd-15e5f9c46961\" data-message-model-slug=\"gpt-5-mini\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\"><article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-68ca7d25-ac50-8327-839e-c85e82af8951-28\" data-testid=\"conversation-turn-144\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"61c4953e-2885-4891-b1fe-fb97bedf104f\" data-message-model-slug=\"gpt-5-mini\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\"><p data-start=\"0\" data-end=\"215\" data-is-last-node=\"\" data-is-only-node=\"\">Imparare a formulare prompt efficaci per modelli di AI generativa, padroneggiare tecniche avanzate di prompting, ottimizzare e personalizzare le risposte e applicare le competenze acquisite a casi reali e complessi.<\/p><p data-start=\"0\" data-end=\"215\" data-is-last-node=\"\" data-is-only-node=\"\"><b>Argomenti principali<\/b><\/p><ul><li>Fondamenti avanzati del Prompt Engineering<\/li><li data-start=\"0\" data-end=\"215\">Esercitazione pratica: analisi critica di prompt efficaci e inefficaci<\/li><li data-start=\"0\" data-end=\"215\">Tecniche specializzate di prompting: Chain-of-Thought, Few-shot learning, System prompting e Tecniche di retrieval-augmented generation (RAG)<\/li><li data-start=\"0\" data-end=\"215\">Ottimizzazione e personalizzazione dei prompt<\/li><li data-start=\"0\" data-end=\"215\">Workshop: ottimizzazione di prompt complessi e valutazione dei risultati<\/li><li data-start=\"0\" data-end=\"215\">Applicazioni avanzate e casi d\u2019uso<\/li><li data-start=\"0\" data-end=\"215\">Progetto finale: sviluppo di una strategia di prompting per un caso d\u2019uso specifico<\/li><li data-start=\"0\" data-end=\"215\">Conclusione e valutazione<\/li><\/ul><p>Durata: 4 ore<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div><\/div><\/div><\/div><\/div><\/div><\/article>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Obiettivo del corso Imparare a formulare prompt efficaci per modelli di AI generativa, padroneggiare tecniche avanzate di prompting, ottimizzare e personalizzare le risposte e applicare le competenze acquisite a casi reali e complessi. Argomenti principali Fondamenti avanzati del Prompt Engineering Esercitazione pratica: analisi critica di prompt efficaci e inefficaci Tecniche specializzate di prompting: Chain-of-Thought, Few-shot [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":3957,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3283","page","type-page","status-publish","hentry"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages\/3283","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/comments?post=3283"}],"version-history":[{"count":12,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages\/3283\/revisions"}],"predecessor-version":[{"id":3963,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages\/3283\/revisions\/3963"}],"up":[{"embeddable":true,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages\/3957"}],"wp:attachment":[{"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/media?parent=3283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}