Generative AI with Cosmos DB

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Unlock the power of Generative AI by pairing it with one of the fastest, most scalable databases in the cloud. In this course, you’ll learn how to use Azure Cosmos DB as a vector database, empowering applications with semantic search, retrieval-augmented generation (RAG), and intelligent conversational experiences.

We start with the fundamentals of Cosmos DB—its global distribution, elastic scalability, and multi-model capabilities—then go deep into vectorization concepts, embeddings, and Vector Search. You’ll learn how to store, index, and query vector data to deliver lightning-fast similarity search across massive datasets. The course demonstrates how to integrate Cosmos DB with modern GenAI models to build applications that understand context, retrieve relevant knowledge, and produce high-quality generative responses.

By the end of this course, you will be able to:

  • Use Cosmos DB as a high-performance vector database
  • Create and manage embeddings for documents and unstructured data
  • Implement Vector Search to power semantic and similarity search
  • Combine Cosmos DB with LLMs to build RAG pipelines
  • Design scalable, globally distributed GenAI applications
  • Leverage Cosmos DB’s resilience, reliability, and low-latency performance in production environments

This course is designed for developers, architects, data professionals, and technology leaders who want to harness the strengths of Cosmos DB + Generative AI to build the next generation of intelligent cloud applications.

Course Information

Intermediate

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Lino Tadros Lino Tadros Author

About the instructor

Distinguished executive leader and renowned technical expert in AI, Machine Learning, and Data Engineering. Leads cross-functional architectural teams to award-winning performance by developing strategic roadmaps and powering enterprise-wide projects. Serves as board member and advisor for multiple corporations delivering strategic guidance on product line developments and business solutions. Industry influencer and mastermind of strategic programs and innovations leading modernization efforts to alter the global IT landscape as Microsoft Regional Director.

Lifetime

SALE $199.00 $99.00

Course Setup

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Implementation of Semantic Kernel

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Implement Chat History in Cosmos DB

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Implementing the RAG Pattern

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Implementing Semantic Cache

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Using .NET Aspire Dashboard

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Genai Cosmos DB

Course Setup

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0

Implementation of Semantic Kernel

0
0
0
0

Implement Chat History in Cosmos DB

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0
0

Implementing the RAG Pattern

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Implementing Semantic Cache

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Using .NET Aspire Dashboard

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