End to End LLM with Azure

Pragmatic AI Labs via edX

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Overview

End to End LLM with Azure is a technical course that provides comprehensive training on how to build, fine-tune, deploy, and scale large language models (LLMs) using Microsoft Azure's machine learning and AI infrastructure. The course covers model selection, prompt engineering, responsible AI, and performance tuning, with practical labs using Azure Machine Learning, Open AI API, and related tools. This course is suited for AI engineers, developers, and cloud architects looking to operationalize LLMs in real-world enterprise applications with a...

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)