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LangChain on Azure - Building Scalable LLM Applications (Udemy.com)

Navigating the Azure Landscape: A Pathway from Basic AI Applications to Scalable Microservices

4.7
122 reviews

Created by: Markus Lang

Last updated January 2026

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What you will learn

  • Azure account structure and resource group management
  • Manage Files in the cloud with Blob Storage
  • Azure Cognitive Search & PgVector as Vector Databases
  • Utilize PgVector and the Indexing API for data retrieval
  • Manage container images using Azure Container Registry
  • Deploy and monitor Azure App Services
  • Azure Functions and Event Grid for event-driven architecture
  • Apply security measures to protect Azure app services and databases

How it compares

Against the other 518 rated Udemy courses in Software Development on CourseDuck:

  • Rating4.7 out of 5higher than 79% of them
  • Reviews122#422 of 519 by number of reviews
  • Length3.1 hoursshorter than 77% of them
  • Last updatedJanuary 2026more recently than 58% of them

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Course Description

Dive into the depths of Azure and Large Language Model (LLM) applications with this comprehensive course. Starting with the initial setup of Azure account structures and resource groups, moving to the practical management of Azure Blob Storage, this course equips you with the essential skills to navigate and utilize Azure's extensive offerings.

We then delve into different vector stores, such as Azure Cognitive Search and PgVector, comparing their advantages and disadvantages. You will learn how to chunk raw data, embed it, and insert it into the vector store. A typical Retrieval Augmented Generation (RAG) process is performed on the vector store, primarily using Jupyter notebooks for this part of the course.

After covering the basics, we transition from notebooks to using docker-compose to locally spin up services. We'll delve deeply into how these services work.

The next step is deploying these services to the cloud, where we learn about new services like the Container Registry and App Service.

Once the Web Apps are set up, we implement an event-driven indexing process with Blob Triggers, the Event Grid, and Azure Functions to index documents upon changes in Blob Storage.

The final chapters cover basic security measures, such as setting up a firewall for the database and IP-based access restrictions.

This course is tailored for individuals with foundational knowledge of Python, Docker, and LangChain and is perfect for anyone looking to build real applications with a production-grade architecture, moving beyond simple playground apps with Streamlit.
Read More Intermediate Intermediate Level product length iconTime: 3.1h

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Instructor Details

Markus Lang

English

Hello, I'm Markus, a software developer specializing in Artificial Intelligence and Python. I work in the finance industry and have extensive experience developing LLM applications with LangChain and successfully deploying them into production.

I am passionate about teaching and strive to make complex topics approachable and practical for my students, focusing on providing clear, hands-on learning experiences.

I’m excited to share my knowledge with you and help you grow your skills.

I look forward to welcoming you to my courses and being part of your learning journey!


German

Hallo, ich bin Markus, ein Softwareentwickler im Bereich Künstliche Intelligenz mit Spezialisierung auf Python. Ich arbeite in der Finanzbranche und habe umfangreiche Erfahrung darin, LLM-Applikationen mit LangChain zu entwickeln und erfolgreich in Produktion zu bringen.

Ich bin leidenschaftlich daran interessiert, komplexe Themen zu vermitteln, und lege großen Wert darauf, sie verständlich und praxisnah für meine Teilnehmenden zu gestalten.

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Reviews

4.7

122 ratings on Udemy

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By Emmanuel Okonkwo on 1/19/2025

He teaches well but doesn’t respond to queries. I have postings a couple of questions on the challenges I am having and there has been no response.

By Coderizon on 1/7/2025

The explanations are concise, clear, and supported by effective visuals, which enhance understanding of the practical application of the concepts used in each section.

By Arslan Abid on 10/21/2024

The best instructor ever, who teaches the best practices of creating an AI Chatbot/Agent. I love how honest he is with the learning.

By Petros Cholidis on 10/14/2024

This course was exactly what I needed! The instructor does a great job explaining intermediate concepts of Langchain and seamlessly shows how it integrates with Azure. What I really loved were the practical examples. They helped me understand how to actually build AI apps and automation tools using these technologies together. The course covers crucial parts of the Azure ecosystem like Cognitive Services and Functions, with lots of hands-on examples and useful code templates. You learn how to handle real challenges and optimize your applications. Definitely worth the investment if you want to build AI apps using Langchain and Azure. I left feeling confident and ready to create!

By Perwaiz Alam on 6/15/2024

This course is incredibly practical. It is by far the best course for learning AI development using langchain and deploying your AI app to the cloud. Thank you, Markus!

By Jatinder Arora on 6/5/2024

The "Langchain on Azure - Building scalable LLM applications" tutorial is an outstanding resource, offering in-depth insights into leveraging Azure for scalable language model applications. The 3-hour session is packed with practical examples and clear explanations, making complex concepts accessible and actionable. Highly recommended for anyone looking to enhance their expertise in building robust LLM solutions on Azure.

By Samsuzzhan Alam on 5/3/2024

Serves my purpose, very engaging, if you want to learn Langchain and new to LLM or you are not interested in software dev this is not for you.

By Chris Wolstenholme on 4/15/2024

This was a great introduction to setting up an LLM application in Azure. It covered a lot of useful stuff, including setting up a web application and a REST API with a vector database. You do need prior knowledge to fully understand the course, as the basics aren't taught here, but, if you have that knowledge, adding an Azure hosted application is easy to understand.

By Maysam Mansor on 4/9/2024

so far I fully understood the context until this docker section :)

By Deepak Rode on 1/15/2024

Excellent course! For me this course was a bit challenging as I started it with almost zero knowledge of the microservices and docker. For others, it may not be that difficult. The instructor is very helpful and replies to questions quickly. Overall, this is a great course.

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Overall Score : 94 / 100

LangChain on Azure - Building Scalable LLM Applications
Visit course on Udemy Write a review
  • Video Duration: icon 3.1h
  • Price: $10.99
  • Provider: icon Udemy
  • Updated: icon January 2026
  • Level: Intermediate Intermediate
  • Language: icon English
  • Certificate: icon Yes
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