{"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":"2026-09-22T17:34:20","modified_gmt":"2026-09-22T15:34:20","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":"C116N \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=\"\">Il corso approfondisce le tecniche di interrogazione dei modelli generativi per chi li usa gi\u00e0 quotidianamente. Al termine il partecipante sa applicare ragionamento guidato ed esempi di riferimento, impostare istruzioni di sistema, integrare fonti documentali proprie e valutare la qualit\u00e0 dei risultati ottenuti.<\/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><p><iframe title=\"Corso Prompt Engineering Avanzato l\u2019arte di dialogare con l\u2019Intelligenza Artificiale Generativa\" width=\"1290\" height=\"726\" src=\"https:\/\/www.youtube.com\/embed\/nQPwWVgM2uM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/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 Il corso approfondisce le tecniche di interrogazione dei modelli generativi per chi li usa gi\u00e0 quotidianamente. Al termine il partecipante sa applicare ragionamento guidato ed esempi di riferimento, impostare istruzioni di sistema, integrare fonti documentali proprie e valutare la qualit\u00e0 dei risultati ottenuti. Argomenti principali Fondamenti avanzati del Prompt Engineering Esercitazione pratica: [&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":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_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":19,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages\/3283\/revisions"}],"predecessor-version":[{"id":5101,"href":"https:\/\/cloudsandtraining.net\/site\/wp-json\/wp\/v2\/pages\/3283\/revisions\/5101"}],"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}]}}