Path detail

RAG and LLM Applications Study Guide

Practical application-building track for retrieval, vector search, fine-tuning, and LLM systems work.

Step 1Required
Finetuning Large Language Models

Starts with a solid on-ramp into the topic.

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Step 2Required
LangChain: Chat with Your Data

Builds on the previous step with a complementary provider angle.

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Step 3Required
Building Applications with Vector Databases

Builds on the previous step with a complementary provider angle.

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Step 4Optional
Develop a RAG-based solution with your own data using Microsoft Foundry

Builds on the previous step with a complementary provider angle.

Self-guided
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Step 5Optional
Enrich your data with Azure Language

Builds on the previous step with a complementary provider angle.

Self-guided
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Step 6Optional
Building and Evaluating Advanced RAG Applications

Rounds out the path with broader depth or specialization.

Self-guided
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