
English | Size: 372 MB
Genre: eLearning
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’s 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.
What you will learn:
Implement and customize Azure AI services for specific business applications: You will learn how to tailor Azure AI services to your specific needs.
Evaluate the trade-offs between using high-end AI services and custom solutions: You will learn when to use pre-built services and when a custom solution is better.
Analyze ethical considerations in AI applications, especially in content moderation scenarios: You will learn about ethical challenges in the context of content moderation in AI applications and how to address them.
This course is suitable for people who:
Developers who want to use Azure AI capabilities to build their applications.
Those seeking a deeper understanding of RAG and content moderation.
People looking for ready-made solutions to AI problems.
Those looking to learn about ethical considerations in the development of artificial intelligence.

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