EdX

End to End LLM with Azure (edX)

Offered by AI (Pragmatic AI Labs),
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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

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)

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