RAG in Azure (Beta test)
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[This course is still yet under development and the current release is a Beta test intended for getting feedback]
Elevate your development skills with our specialized course designed for developers and IT professionals. This course focuses on the essentials of Retrieval-Augmented Generation (RAG) using Azure’s cutting-edge tools and services.
Throughout this course, you will:
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Understand RAG Fundamentals: Learn the core principles of Retrieval-Augmented Generation and its applications.
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Utilize Azure AI Studio: Gain hands-on experience with Azure AI Studio to build and deploy AI models.
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Leverage LLM Models like ChatGPT: Integrate and utilize large language models, including ChatGPT, for advanced AI solutions.
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Embed Vectors with AI Search Service: Master the techniques of embedding vectors and enhancing search capabilities using Azure AI Search service.
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Use RAG flow with Azure AI Studio: Create your own RAG application with few clicks from the AI Studio.
By the end of this course, you will have the skills to implement RAG solutions effectively, leveraging Azure’s powerful tools and services. Whether you’re looking to advance your career or enhance your technical expertise, this course provides the knowledge and practical experience you need to succeed in the rapidly evolving field of AI and machine learning.
Join us and become proficient in the latest AI technologies with Azure!
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1IntroductionVideo lesson
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2Introduction to RAG [Presentation]Video lesson
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3[Demo] Creating Azure resources using the portalVideo lesson
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4[Demo] Creating Azure resources using command lineVideo lesson
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5[Demo] Connecting to OpenAI ChatGPT modelVideo lesson
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6[Demo] Counting the tokens for all documentsVideo lesson
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7[Demo] Cleaning the markdown filesVideo lesson
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8[Demo] Creating the embedding vectorVideo lesson
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9[Demo] Chunking the documents to lower the number of tokensVideo lesson
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10[Demo] Creating Search Index in Azure AI SearchVideo lesson
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11[Demo] Uploading the chunks to AI SearchVideo lesson
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12[Demo] Searching using Vector embeddingVideo lesson
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13[Demo] Chatting with ChatGPT with documentsVideo lesson
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