Optimizing and Securing LLM Models with Azure API Management: Load Balancing, Authentication, Semantic Caching, and Priv
Description
Unlock the full potential of Large Language Models (LLMs) like OpenAI in your enterprise applications with our comprehensive course, “Mastering API Management for Generative AI in Azure.” This course is meticulously designed for API developers, cloud solution architects, AI practitioners, IT security professionals, and technical managers who are eager to integrate advanced AI capabilities into their workflows using Azure API Management.
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Throughout this course, you will embark on a journey to understand the fundamentals of Generative AI and its integration with Azure API Management. We begin with a general introduction to the key features and capabilities of Generative AI within the Azure ecosystem. From there, we delve into advanced API management techniques, including load balancing, authentication, semantic caching, logging, metrics, token throttling, and retry and circuit breaker patterns.
One of the standout features of this course is the emphasis on security. You will learn how to implement private endpoints to secure your API endpoints, ensuring robust protection for your enterprise applications. Our hands-on modules will guide you through practical implementations, providing you with the skills and confidence to apply these techniques in real-world scenarios.
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By the end of this course, you will have a solid understanding of how to optimize and secure LLM models using Azure API Management. You will be equipped with best practices for enterprise integration, enabling you to leverage the power of Generative AI to drive innovation and efficiency in your organization.
Join us on this exciting journey and transform the way you manage and secure AI applications in the cloud. Enroll now and take the first step towards mastering API management for Generative AI in Azure!
Total Students | 12787 |
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Duration | 2.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 27 |
Number of quizzes | 2 |
Total Reviews | 33 |
Global Rating | 4.409091 |
Instructor Name | Houssem Dellai |
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- Est. time: 2.5 hours
- Practical value: 7/10
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- Beginner → Beginner → Advanced
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- Best Practices
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