ARTIFICIAL INTELLIGENCE · 4 WEEKS · 102 LESSONS
LLMOps with Azure
Learn to deploy and manage Large Language Models using Microsoft Azure's cloud infrastructure and services. Master Azure OpenAI, machine learning workflows, and end-to-end LLM application development with hands-on experience.
Master the implementation and deployment of Large Language Models (LLMs) on Microsoft Azure. This comprehensive course covers Azure OpenAI services, machine learning fundamentals, semantic kernels, and function deployment. Through hands-on labs and practical exercises, learn to build end-to-end LLM applications, implement RAG (Retrieval Augmented Generation), and scale deployments using Azure's cloud infrastructure.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Master the implementation and deployment of Large Language Models (LLMs) on Microsoft Azure. This comprehensive course covers Azure OpenAI services, machine learning fundamentals, semantic kernels, and function deployment. Through hands-on labs and practical exercises, learn to build end-to-end LLM applications, implement RAG (Retrieval Augmented Generation), and scale deployments using Azure's cloud infrastructure.
Implement and deploy Large Language Models using Azure OpenAI services and machine learning resources
Build end-to-end LLM applications with advanced features like Semantic Kernel and RAG (Retrieval Augmented Generation)
Master Azure Machine Learning workflows, including resource management, model deployment, and API integration
Develop scalable LLM solutions using Azure Container Apps and GitHub Actions
03 — Syllabus
4 weeks, 102 lessons total.
- Meet your instructor
- Connect with your instructor
- About this course
- Course structure
- Introduction
- Introduction to the Azure portal
- Introduction
- Gpu Quotas and availability
- Creating a compute resource
- Azure ML create resources
- Deploying the model
- Lab create a compute resource
- Introduction
- What is Semantic kernel
- Using Semantic kernel with Azure
- Using a system prompt
- Advanced system Prompts
- Lab using Semantic kernel with Azure
- Introduction
- Architectural overview
- What is RAG
- Azure AI document intelligence and Azure Openai
- Overview of Azure AI search
- Automation and deployment with Github
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.