End to End LLMs with Azure

This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Explore architectural patterns like Retrieval-Augmented Generation (RAG) and Azure services like Azure Search for robust applications. Gain insights into streamlining deployments with GitHub Actions. Apply your knowledge by implementing RAG with Azure Search, creating GitHub Actions workflows, and deploying end-to-end LLM applications. Develop a deep understanding of Azure's ecosystem for LLM solutions, from model deployment to architectural patterns and deployment pipelines

• Create Large Language Model endpoints in Azure
• Use GitHub Actions to deploy a containerized application for LLMs
• Use Azure OpenAI Service for deploying LLMs and utilizing inference APIs
• Integrate LLMs with Python
• Explore architectural patterns like Retrieval-Augmented Generation (RAG)
• Employ Azure services like Azure Search for robust applications

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work