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