Learn how to build, deploy, and scale enterprise AI applications using Azure OpenAI Service. We will cover RAG patterns, prompt engineering, security best practices, and cost optimization strategies.

This comprehensive webinar will guide you through the entire process of building production-ready solutions. Whether you're just starting your journey or looking to optimize existing implementations, this session will provide practical insights and best practices from real-world deployments.
Master Retrieval-Augmented Generation patterns to build AI applications that leverage your enterprise data effectively and accurately.
Learn advanced prompt engineering techniques to get consistent, high-quality outputs from your AI models.
Implement enterprise-grade security controls, data privacy measures, and compliance frameworks for your AI applications.
Discover proven strategies to optimize your Azure OpenAI costs while maintaining performance and quality.
Overview of Azure OpenAI Service and session objectives
Building scalable AI application architectures with Azure OpenAI
Live demonstration of implementing RAG with Azure Cognitive Search
Implementing authentication, authorization, and data protection
Strategies for managing and optimizing Azure OpenAI costs
Live questions and answers with our expert
Chief AI Architect
Dr. Sarah Chen is a leading expert in enterprise AI with over 15 years of experience building production AI systems. She has led AI transformation initiatives for Fortune 500 companies and holds a Ph.D. in Machine Learning from MIT. Sarah is a Microsoft MVP and frequent speaker at major technology conferences.

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