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| Online-Ressource |
Titel: | Generative AI on Microsoft Azure |
Titelzusatz: | building intelligent apps on Azure Cloud infrastructure |
Mitwirkende: | Schiissler, Conner [MitwirkendeR]  |
Institutionen: | O'Reilly (Firm), [Verlag]  |
Ausgabe: | [First edition]. |
Verlagsort: | [Sebastopol, California] |
Verlag: | O'Reilly Media, Inc. |
E-Jahr: | 2024 |
Jahr: | [2024] |
Umfang: | 1 online resource (1 video file (2 hr., 40 min.)) |
Illustrationen: | sound, color. |
Fussnoten: | Online resource; title from title details screen (O’Reilly, viewed November 18, 2024) |
Abstract: | With the hype cycle around Generative AI still going strong, companies are trying to figure out how to best leverage the technology to improve their business. Many are turning to Microsoft Azure to implement and build with the latest and greatest new features in AI/ML. With the complexity of the landscape in mind, this course provides you with the base set of skills required to be able to design, build, and deploy GenAI applications in an Azure environment. Expert Conner Schiissler teaches you the essentials you need to know, from the basics of GenAI all the way to hosting the application in Azure. You will also look at building the infrastructure necessary to host applications built on great frameworks like LangChain! Follow along in this course to gain the skills required to start harnessing the power of Generative AI, and walk away with the capability to build your very own GenAI application in the Azure cloud. |
URL: | Aggregator: https://learning.oreilly.com/library/view/-/0642572053468/?ar |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Instructional films |
| Nonfiction films |
| Internet videos |
K10plus-PPN: | 1910495506 |
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Lokale URL UB: | Zum Volltext |
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| Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
| Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich |
Bibliothek/Idn: | UW / m4629540342 |
Lokale URL Inst.: | Zum Volltext |
Generative AI on Microsoft Azure / Schiissler, Conner [MitwirkendeR]; [2024] (Online-Ressource)
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