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LangChain on Azure - Building Scalable LLM Applications
One Education

CPD Certified | Free Completion Certificate | Advanced Lessons | Tutor Support included | Special Price

Summary

Price
£19 inc VAT
Study method
Online
Duration
3 hours · Self-paced
Access to content
1 month
Qualification
No formal qualification
CPD
10 CPD hours / points
Additional info
  • Tutor is available to students

Overview

Explore how to use Azure to create large language model (LLM) systems that are scalable with our in-depth course, "LangChain on Azure - Building Scalable LLM Applications." With the help of Azure's cloud capabilities, you will be able to construct scalable and durable LLM solutions by gaining the fundamental skills that this course will teach you. You will obtain practical experience with essential tools and technologies that power scalable AI solutions, from comprehending the foundations of Microsoft Azure to deploying apps using advanced Azure services. You'll gain efficient integration and security knowledge for your LLM applications through hands-on exercises, including setting up Docker-Compose and using the Azure Container Registry. Developers and data scientists who want to learn more about cloud-based LLM development on Azure should take this course.

Develop Masterful LLM Applications Using Azure:

  • Introduction to Azure LLM Development: Understand the core concepts and benefits of building LLM applications using Azure, including an overview of necessary tools and technologies.
  • Setting Up Your Environment: Gain practical experience in installing required software and configuring your environment for Azure development, including Docker-Compose for local services.
  • Leveraging Azure Services: Learn how to use Azure Cognitive Search, Blob Storage, and PgVector for efficient data management and indexing within your LLM applications.
  • Deploying and Managing Applications: Discover how to deploy your applications using Azure Container Registry, Azure App Services, and Azure Functions, along with integrating Event Grid for event-driven architecture.
  • Ensuring Security and Access Control: Acquire knowledge on securing your Azure applications and databases, including restricting access to ensure compliance and protect sensitive data.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Description

  • Understand Azure Fundamentals: Get to grips with the basic concepts of Microsoft Azure and its services to build a strong foundation.
  • Install Essential Software: Learn how to set up the necessary software for working with Azure, ensuring you're ready to start your projects.
  • Explore Key Azure Services: Discover how to use Azure Cognitive Search and Blob Storage to manage and retrieve data efficiently.
  • Utilise PgVector & Indexing API: Learn how to use PgVector and indexing APIs to enhance data handling and search capabilities.
  • Deploy Services with Docker: Gain hands-on experience in using Docker-Compose to run services locally and follow practical code walkthroughs.
  • Secure and Manage Azure Resources: Learn how to use Azure App Services, Functions, and Event Grid to build, deploy, and secure your applications effectively.

Course Curriculum:

  • Module 01: Introduction
  • Module 02: Installation Of Required Software
  • Module 03: Microsoft Azure Basics
  • Module 04: Azure Cognitive Search
  • Module 05: Blob Storage
  • Module 06: PgVector & Indexing API
  • Module 07: Local Start Of Services With Docker-Compose & Code Walkthrough
  • Module 08: Azure Container Registry
  • Module 09: Azure App Services
  • Module 10: Azure Functions & Event Grid
  • Module 11: Security - Restrict Access To The App Services And Database

Who is this course for?

  • Individuals interested in developing scalable applications on Azure.
  • Developers seeking to understand LangChain integrations with Azure.
  • IT professionals are aiming to enhance their cloud computing skills.
  • Data scientists are looking to build and deploy LLM applications.
  • Anyone curious about advanced Azure services and application security.

Requirements

A basic understanding of cloud computing and web technologies is recommended. Familiarity with Azure services and containers is beneficial but not mandatory. Experience with Docker and indexing APIs is useful. Prior knowledge of cognitive search and blob storage concepts will help. No specific programming skills are required, but coding experience is advantageous.

Career path

  • Azure Cloud Engineer
  • Cloud Solutions Architect
  • DevOps Engineer
  • Data Engineer
  • Application Developer
  • Systems Administrator

Questions and answers

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FAQs

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