What You'll Learn
- Understand the fundamentals of LLM Architecture, Retrieval-Augmented Generation (RAG) and its role in improving LLM reliability.
- Learn the core Azure services used in RAG solutions, including AI Search, OpenAI, AI Studio, and Copilot Studio.
- Get to know most common LLM based reference architecture on Azure
- Design RAG application architectures using Azure AI Foundry no-code approach.
Requirements
- Basic level of AI or machine learning experience required
- Familiarity with basic cloud concepts is helpful (e.g. what a storage account or API is).
- An active Microsoft Azure account (free or paid) to follow along with hands-on lecture.
- Basic curiosity and willingness to learn about modern AI architecture and tooling.
Who This Course is For
- Product managers, analysts, and business leaders looking to understand the LLM Architecture concept and how RAG enables trustworthy AI assistants.
- Cloud developers and solution architects who want to design reliable AI applications using LLMs.
- Technical teams evaluating Azure AI services like OpenAI, AI Search, and Copilot Studio for internal copilots.
- Anyone interested in building AI-powered chatbots that are grounded in real business documents and data—no prior AI experience required.
Your Instructor
Alireza Chegini
Senior GenAI Architect/DevOps Coach/MCT
4.3 Instructor Rating
1,576 Reviews
26,841 Students
5 Courses
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