{"id":7889,"date":"2026-08-10T09:49:26","date_gmt":"2026-08-10T09:49:26","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/kodeco-high-level-ai-with-azure-ai-services-2024-12\/"},"modified":"2026-08-10T09:49:26","modified_gmt":"2026-08-10T09:49:26","slug":"kodeco-high-level-ai-with-azure-ai-services-2024-12","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/kodeco-high-level-ai-with-azure-ai-services-2024-12\/","title":{"rendered":"Kodeco \u2013 High-Level AI with Azure AI Services 2024-12"},"content":{"rendered":"
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Description<\/span><\/h2>\n

High-Level AI with Azure AI Services course. This course focuses on using Azure high-level AI services to solve real-world business problems. You will explore pre-built solutions for retrieval-augmented generation (RAG), content moderation, and other Azure AI offerings, and compare their applications and tradeoffs with custom solutions. Course content: RAG with Azure AI Search: Learn how to build retrieval-augmented generation (RAG) solutions using Azure AI Search, combining vector and traditional search methods for powerful, domain-specific information retrieval. This module provides a practical introduction to implementing RAG with Azure AI Search, focusing on hybrid search techniques and integration with the Azure OpenAI service. You will evaluate the capabilities of RAG Azure AI Search compared to LangChain\u2019s custom solutions, focusing on cost, ease of use, and flexibility. By implementing hybrid search systems and evaluating their effectiveness in domain-specific applications, you will gain the expertise needed to build efficient and scalable retrieval solutions. Azure Content Safety: This module explores the Azure Content Safety service for classifying and moderating content generated by AI and users. Students will learn about the ethical challenges of moderating content in AI applications and how to implement Azure solutions.<\/span><\/p>\n

What you will learn:<\/span><\/h3>\n