{"id":95693,"date":"2024-10-11T18:12:55","date_gmt":"2024-10-11T18:12:55","guid":{"rendered":"https:\/\/business.udemy.com\/learning-path\/genai-on-azure-2\/"},"modified":"2025-06-24T16:51:54","modified_gmt":"2025-06-24T16:51:54","slug":"genai-on-azure-2","status":"publish","type":"learning-path","link":"https:\/\/business.udemy.com\/it\/learning-path\/genai-on-azure-2\/","title":{"rendered":"IA su Azure: LLM, modelli di fondazione e agenti"},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","jv_blocks_editor_width":"","_genesis_block_theme_hide_title":false},"class_list":["post-95693","learning-path","type-learning-path","status-publish","hentry","post","without-featured-image"],"acf":{"best_for":false,"skills":[{"skill":"Sviluppo di applicazioni LLM su Azure"},{"skill":"Integrazione di LangChain su Azure"},{"skill":"Utilizzo di Azure OpenAI e IA generativa"},{"skill":"Prompt engineering e orchestrazione"},{"skill":"Retrieval Augmented Generation (RAG)"},{"skill":"Flussi di lavoro su Azure AI Studio (Foundry)"},{"skill":"Sviluppo e distribuzione di agenti IA"},{"skill":"Competenza con Azure SDK per Python"},{"skill":"Containerizzazione e distribuzione su cloud "},{"skill":"Sicurezza e implementazione responsabile dell'IA"},{"skill":"Sviluppo di applicazioni IA multimodali e reali"}],"title":"IA su Azure: LLM, modelli di fondazione e agenti ","heading_paragraph":"

Questo percorso di apprendimento introduttivo esplora la GenAI su Azure, includendo l’integrazione con LangChain, Azure OpenAI, Azure AI Foundry (AI Studio) e Azure AI Agent Service. Gli studenti impareranno a costruire applicazioni LLM scalabili, sfruttare i servizi cognitivi e generativi di Azure, orchestrare flussi di prompt, implementare un sistema RAG e distribuire agenti IA con strumenti avanzati e SDK Azure, affrontando tematiche di sicurezza, uso responsabile dell’IA e scenari di distribuzione reali.<\/p>\n","description_paragraph":"

Obiettivi di apprendimento<\/h3>\n
    \n
  1. Sviluppare e distribuire applicazioni LLM scalabili su Azure utilizzando LangChain, Azure Cognitive Search, Blob Storage e PgVector.<\/li>\n
  2. Utilizzare Azure OpenAI e Azure AI Studio (Foundry) per applicazioni di IA generativa e predittiva, inclusi prompt engineering, RAG e applicazioni multimodali.<\/li>\n
  3. Implementare, valutare e mettere in sicurezza soluzioni IA grazie agli strumenti di content safety di Azure, pratiche di IA responsabile e solidi meccanismi di autenticazione e controllo degli accessi.<\/li>\n
  4. Costruire, orchestrare e distribuire agenti IA utilizzando Azure AI Agent Service, integrando function calling, interpretazione del codice, OpenAPI e strumenti basati sulla conoscenza.<\/li>\n
  5. Applicare SDK Azure e flussi di lavoro cloud per automatizzare, containerizzare e gestire progetti IA in scenari aziendali reali.<\/li>\n<\/ol>\n

    Pubblico target<\/h3>\n

    Questo percorso \u00e8 pensato per sviluppatori IA, cloud engineer, data scientist e professionisti tecnici che vogliono padroneggiare l’IA generativa e le soluzioni basate su agenti su Microsoft Azure. \u00c8 ideale per chi ha competenze di programmazione di base e desidera un’esperienza pratica nella creazione, distribuzione e protezione di applicazioni IA avanzate in contesti aziendali.<\/p>\n","category":"Professionisti tecnici"},"yoast_head":"\nIA su Azure: LLM, modelli di fondazione e agenti - Udemy Business<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/business.udemy.com\/it\/learning-path\/genai-on-azure-2\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IA su Azure: LLM, modelli di fondazione e agenti\" \/>\n<meta property=\"og:url\" content=\"https:\/\/business.udemy.com\/it\/learning-path\/genai-on-azure-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Udemy Business\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/udemy\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T16:51:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/business.udemy.com\/wp-content\/uploads\/2023\/06\/udemy-business-organic-social-share-1200x630-refresh-2.png.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@udemy\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/business.udemy.com\\\/it\\\/learning-path\\\/genai-on-azure-2\\\/\",\"url\":\"https:\\\/\\\/business.udemy.com\\\/it\\\/learning-path\\\/genai-on-azure-2\\\/\",\"name\":\"IA su Azure: LLM, modelli di fondazione e agenti - 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