Designing and operating AI workloads in Azure - english



Kursarrangør: Glasspaper AS
Sted: Oslo, Helsfyr
Oslo
Kursadresse: Brynsveien 12, 0667 Oslo (kart)
Type:Åpent kurs / gruppeundervisning
Studie / yrkesutdanning
Undervisningstid: Ta kontakt for informasjon
Varighet: 2 days
Pris: 18.000

We provide course in english about designing and operating AI workloads in Azure. This 2-days training provides a comprehensive introduction to deploying and managing artificial intelligence (AI) workloads on Microsoft Azure.

Course description:
It covers foundational elements such as the Microsoft Cloud Adoption Framework for Azure, Azure Landing Zones, and the overall AI adoption process. Participants will gain essential knowledge on planning, implementing, and operating scalable and secure AI solutions in the cloud, with guidance on aligning AI strategies to organizational goals.

Key takeaways:
• Understand the foundational components for deploying AI workloads on Azure
• Gain insights into the Microsoft Cloud Adoption Framework for structured cloud migration and adoption
• Learn how Azure Landing Zones support scalable and secure AI deployment
• Recognize the end-to-end AI adoption process, from strategy development to solution implementation
• Develop the ability to align AI initiatives with organizational objectives

Course outline:
Module 1 - Microsoft Cloud Adoption Framework for Azure and Azure Landing Zone
Module 2 - Establish AI Operations
Module 3 - Azure Well Architected Framework

Target audience:
This training is designed for IT Professionals, Cloud Architects, Solution Architects, Data Scientists, and Technical Decision-Makers who are interested in adopting or managing AI solutions on Azure. It is also suitable for those responsible for cloud migration, operations, and the architecture of AI workloads within their organizations.

Prerequisites:
• Basic understanding of cloud computing concepts
• Familiarity with Microsoft Azure
• General knowledge of Artificial Intelligence and Machine Learning concepts
• Experience with IT infrastructure or application development (recommended)

Language:
• This course is given in english

Course material:
The course fee includes course documentation and exercises. Lunch and refreshments for in class events only.