Extending LLM models using Azure services and tools
Description
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.
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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 4: 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.
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Use Jupiter Python notebooks: Create sample python app to perform RAG.
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.
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Join us and become proficient in the latest AI technologies with Azure!
Total Students | 18865 |
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Duration | 1 hour |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 16 |
Number of quizzes | 2 |
Total Reviews | 363 |
Global Rating | 4.6 |
Instructor Name | Houssem Dellai |
Course Insights (for Students)
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Student Satisfaction
90% positive recent sentiment
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Time & Value
- Est. time: 1 hour
- Practical value: 8/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Practical
Course Review Summary
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What learners praise
- Hands On
- Practical
- Well Structured
- Clear Explanation
- Beginner Friendly
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- Theory only
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Best suited for
New learners starting from zero
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