Overview
With our course, “LangChain on Azure – Building Scalable LLM Applications,” set out on a technologically advanced voyage. Learn everything there is to know about scalable LLM (Language, Learning, and Machine) apps by utilising Microsoft Azure’s capabilities. This comprehensive programme isn’t just about learning; it’s about crafting robust solutions and unlocking the potential of cloud computing. From understanding Azure basics to deploying Azure App Services and Azure Functions, each module is a step towards becoming proficient in building scalable LLM applications. With practical insights into Azure Cognitive Search, Blob Storage, and PgVector indexing API, this course equips you with the tools and knowledge needed to succeed in the dynamic landscape of modern technology.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
- Technology enthusiasts eager to explore the realm of cloud computing and scalable application development.
- Software engineers and developers seeking to enhance their skills in building robust LLM applications.
- IT professionals interested in leveraging Microsoft Azure for scalable solutions and cloud deployment.
- Students pursuing studies in computer science, software engineering, or related fields.
- Entrepreneurs and innovators aiming to stay ahead in the ever-evolving landscape of technology-driven solutions.
Requirements
Our LangChain on Azure – Building Scalable LLM Applications has been designed to be fully compatible with tablets and smartphones. Here are some common requirements you may need:
- Computer, smartphone, or tablet with internet access.
- English language proficiency.
- Required software/tools. (if needed)
- Commitment to study and participate.
There is no time limit for completing this course; it can be studied at your own pace.
Career Path
Popular Career Paths for a LangChain on Azure – Building Scalable LLM Applications Course:
- Cloud Solutions Architect: £60,000 – £90,000
- Azure Developer: £45,000 – £70,000
- DevOps Engineer: £50,000 – £75,000
- Machine Learning Engineer: £55,000 – £80,000
- Software Development Engineer in Test (SDET): £40,000 – £60,000
- Technology Consultant: £45,000 – £70,000
Salary ranges can vary by location and experience.
Course Curriculum
- 11 sections
- 33 lectures
- 00:00:00 total length
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Prerequisites for this course 00:02:00 -
What we build in this course 00:01:00
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What this course is NOT about 00:01:00
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Installation of Docker 00:02:00
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Installation of the Azure CLI 00:01:00
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Installation of Visual Studio Code 00:01:00
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Create a Microsoft Azure Account 00:03:00
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Subscription & the Azure Hierarchy 00:03:00
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Create a Resource Group 00:02:00
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Create an Azure Cognitive Search Service 00:03:00
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Set up venv, Jupyter Notebook kernel, and environment variables 00:07:00
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How to Create an Index and Insert Data in ACS using the Python SDK 00:05:00
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LangChain & ACS 00:09:00
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Understanding and Implementing Blob Storage: Theory and Setup on Azure 00:06:00
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Blob Storage with the Azure Python SDK: Uploading, Deleting, and Managing Data 00:08:00
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Setup PgVector with Azure Database for PostgreSQL flexible server 00:05:00
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Indexing API with PgVector 00:11:00
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Indexing API in combination with Blob Storage 00:08:00
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Setup of Services with docker-compose 00:08:00
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Frontend Code Walkthrough – HTTP Methods, Dockerfile, Proxy Setup 00:06:00
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Backend Code Walkthrough 00:13:00
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Azure Container Registry Setup 00:02:00
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Build Docker Images and Push Images in Registry 00:05:00
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Azure App Services Intro & Frontend Deployment 00:06:00
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Prepare Backend for Deployment 00:07:00
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Uploadservice Deployment & Entering of missing env variables 00:10:00
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BlobTrigger, Functions & EventGrid – Concepts and Synergy 00:02:00
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Azure Function App setup 00:02:00
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Creation & Deployment of simple function 00:06:00
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Create Blob Trigger – Create an Event Subscription to the Event Grid 00:04:00
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Code Walkthrough & Redeployment 00:12:00
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Restrict access to backend with IP Restriction Rules 00:09:00
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Add Firewall Rules to PostgreSQL (PgVector) 00:04:00
Frequently Bought Together
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5
(6 students)4.7 course rating - 7 reviews
£19.99
£419
This course includes:
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Duration:2 hours, 54 minutes
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Access:1 year access
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Units:33
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Level:Intermediate
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CPD Points:10
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Certificate:Yes
