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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
Overview
CPD
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
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FAQs
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