{"id":95667,"date":"2024-10-11T18:12:31","date_gmt":"2024-10-11T18:12:31","guid":{"rendered":"https:\/\/business.udemy.com\/learning-path\/genai-on-google-cloud\/"},"modified":"2025-06-24T18:01:22","modified_gmt":"2025-06-24T18:01:22","slug":"genai-on-google-cloud","status":"publish","type":"learning-path","link":"https:\/\/business.udemy.com\/de\/learning-path\/genai-on-google-cloud\/","title":{"rendered":"KI in Google Cloud: LLMs und Basismodelle"},"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-95667","learning-path","type-learning-path","status-publish","hentry","post","without-featured-image"],"acf":{"best_for":false,"skills":[{"skill":"Entwicklung von GenKI-Modellen"},{"skill":"Prompt Engineering"},{"skill":"Einbettungen und Vektorrepr\u00e4sentierungen"},{"skill":"Multimodale KI-Verarbeitung"},{"skill":"Batch-Datenverarbeitung mit GCP"},{"skill":"Umgang mit Vertex AI und AutoML"},{"skill":"Integration von Google Cloud-APIs (visuell, Texte, Sprache)"},{"skill":"Verantwortungsvolle KI-Implementierung"}],"title":"KI in Google Cloud: LLMs und Basismodelle","heading_paragraph":"

Dieser Start-Lernpfad dient als Einf\u00fchrung in die generative\u00a0KI in Google Cloud, mit den Schwerpunkten Google Gemini und Vertex\u00a0AI. Die Lernenden befassen sich mit den grundlegenden Konzepten, Prompt-Engineering, Einbettungen, multimodaler Verarbeitung und der praktischen Implementierung mit Services von Google Cloud wie Vertex\u00a0AI, AutoML und verschiedenen Google-APIs zur Verarbeitung von visuellen Informationen, Texten und Spracheingaben. Der Lernpfad legt den Schwerpunkt auf verantwortungsbewusste KI-Methoden und die praktische Anwendung von GenKI-L\u00f6sungen.<\/p>\n","description_paragraph":"

Lernziele<\/h3>\n
    \n
  1. Die Grundlagen generativer\u00a0KI verstehen: die Kernprinzipien generativer\u00a0KI, die Unterschiede zwischen KI, ML und generativer\u00a0KI und die Datenanforderungen f\u00fcr die Entwicklung effektiver Modelle<\/li>\n
  2. Mit Google Gemini und Vertex\u00a0AI entwickeln und bereitstellen: Praktische Erfahrungen mit der Erstellung, Optimierung und Bereitstellung von GenKI-Modellen mit Google Gemini, Vertex\u00a0AI und den dazugeh\u00f6rigen Google Cloud-Services<\/li>\n
  3. Prompt-Engineering und Einbettungen anwenden: Techniken f\u00fcr das Prompt-Design und Einbettungen f\u00fcr komplexe KI-Aufgaben<\/li>\n
  4. Multimodale Funktionen und Batch-Verarbeitung implementieren: Ausprobieren multimodaler KI-F\u00e4higkeiten wie Bild-, Video- und Dokumentverarbeitung sowie Batch-Datenverarbeitung mit Google Cloud Storage und BigQuery<\/li>\n
  5. Verantwortungsbewusste KI und Best Practices anwenden: Die KI-Prinzipien von Google, verantwortungsbewusste KI-Methoden und die Verwaltung von Cloud-Ressourcen f\u00fcr eine ethische und effiziente KI-Entwicklung<\/li>\n<\/ol>\n

    Zielgruppe<\/h3>\n

    Dieser Lernpfad richtet sich an Entwickler:innen, Data Scientists und technische Profis, die L\u00f6sungen mit generativer\u00a0KI in Google Cloud entwickeln m\u00f6chten. Er eignet sich f\u00fcr alle, die beginnen, sich mit Google Gemini, Vertex AI oder generativer KI im Allgemeinen zu befassen, und f\u00fcr Fachleute, die ihre praktischen F\u00e4higkeiten im IT-Umfeld von Google Cloud vertiefen m\u00f6chten.<\/p>\n","category":"Technik\/IT-Profis"},"yoast_head":"\nKI in Google Cloud: LLMs und Basismodelle - 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\/de\/learning-path\/genai-on-google-cloud\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KI in Google Cloud: LLMs und Basismodelle\" \/>\n<meta property=\"og:url\" content=\"https:\/\/business.udemy.com\/de\/learning-path\/genai-on-google-cloud\/\" \/>\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=\"2025-06-24T18:01:22+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\\\/de\\\/learning-path\\\/genai-on-google-cloud\\\/\",\"url\":\"https:\\\/\\\/business.udemy.com\\\/de\\\/learning-path\\\/genai-on-google-cloud\\\/\",\"name\":\"KI in Google Cloud: LLMs und Basismodelle - 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