End to End LLM with Azure (edX)

End to End LLM with Azure (edX)
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End to End LLM with Azure (edX)
Master Azure tools for building and deploying robust Large Language Model applications. Learn architectural patterns, automation, and end-to-end solutions for leveraging LLMs in your projects.

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In this comprehensive course, you will:

- Learn to use Azure OpenAI Service for deploying LLMs and integrating with Python

- Explore architectural patterns like Retrieval-Augmented Generation (RAG) for robust applications

- Utilize Azure services like Azure Search to enhance LLM capabilities

- Gain insights into streamlining deployments with GitHub Actions automation

- Apply your knowledge by implementing end-to-end LLM solutions

- Develop a deep understanding of Azure's ecosystem for LLM solutions, from model deployment to architectural patterns and deployment pipelines. Gain the skills to build and deploy powerful LLM applications in real-world scenarios.

This course is part of the Generative AI Fundamentals Professional Certificate.


What you'll learn

- Deploying LLMs with Azure OpenAI Service

- Integrating Azure OpenAI APIs with Python

- Implementing Retrieval-Augmented Generation (RAG) with Azure Search

- Automating testing and deployment using GitHub Actions

- Building end-to-end LLM applications on Azure


Syllabus


\\- Module 1 (8 hours to complete)

\\- Video: Meet your Course Instructor: Alfredo Deza (1 minute, preview module)

\\- Video: Introduction (0 minutes)

\\- Video: Getting access to Azure OpenAI Service (3 minutes)

\\- Video: Creating an Azure OpenAI Service Resource (5 minutes)

\\- Video: Deploy an OpenAI Model (4 minutes)

\\- Video: Using keys and endpoints (5 minutes)

\\- Video: Creating a simple Python example (5 minutes)

\\- Video: Reviewing usage and quotas (2 minutes)

\\- Video: Architectural overview (3 minutes)

\\- Video: Overview of Azure AI Search (3 minutes)

\\- Video: Automation and deployment with GitHub (4 minutes)

\\- Video: Setting up Azure components (3 minutes)

\\- Video: Using RAG with Azure OpenAI (4 minutes)

\\- Video: Application overview (6 minutes)

\\- Video: Deployment and automation overview (4 minutes)

\\- Video: Using GitHub Actions with Azure (8 minutes)

\\- Reading: About this course (10 minutes)

\\- Reading: Connect with your instructor (10 minutes)

\\- Reading: Key Terms (10 minutes)

\\- Reading: External lab: Use the Azure OpenAI APIs (10 minutes)

\\- Reading: External lab: Create an Azure AI Search resource (10 minutes)

\\- Reading: External Lab: Deploy an end-to-end application (10 minutes)

\\- Reading: Key Terms (10 minutes)

\\- Assignment: Knowledge check (180 minutes)

\\- Assignment: Graded Quiz (180 minutes)



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
139.00 EUR

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.