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Preparing for the AI-102: Designing and Implementing Microsoft Azure AI Solutions certification? In this session, “Integrating Microsoft Foundry into Intelligent Solutions,” we explore how to design scalable, secure, and AI-102–aligned architectures using Azure OpenAI Service and Azure AI Services. This video connects certification concepts with real-world implementation strategies, helping you understand how Azure AI services work together in production environments. If you're serious about passing AI-102 and building intelligent Azure solutions, this walkthrough will give you clarity and architectural insight. What You’ll Learn ✔️ How to integrate Azure OpenAI models into Azure applications ✔️ Architecture patterns for AI-102 solution design ✔️ Combining Azure AI Language, Vision, and Search services ✔️ Designing end-to-end intelligent solutions ✔️ Security, identity, and governance for AI workloads ✔️ Real-world implementation strategies ✔️ Performance and cost considerations in AI deployments Topics Covered Azure OpenAI Service integration Prompt engineering fundamentals Multi-service AI orchestration Responsible AI considerations Azure identity and secure key management AI-102 exam-aligned architectural design Who Should Watch AI-102 certification candidates Azure developers working with AI Cloud architects designing AI solutions Engineers building intelligent Azure applications If you want clarity on how Azure services connect together in real-world AI projects, this is the session for you.