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LLMOps with Azure

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.

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Trusted by 1M+ Learners

Our university-grade curriculum has helped professionals worldwide transform their careers in AI, Data Science, Cloud Computing, and programming..

Same curriculum taught at Duke, Northwestern, and UC Davis

Practical, hands-on projects that mirror real-world challenges

Industry-recognized certification upon completion

4 weeks, 102 lessons total which includes hands-on labs, quizzes, and a certification.

Learn from top university instructors

The curated content for the bootcamp is based on the same material we use at top universities like Duke University, Northwestern, and UC Davis.

Practical and hands on

The material and content goes beyond the basic theory and is meant for you to practice, enhancing your learning.

Get access to high-quality, curated content

All exercises, readings, examples, and video content is of extremely high quality and you will get access to all of it in this bootcamp.

Join half a million learners

We've specialized in teaching based on our vast experience in tech. Be part of half a million learners who have used our courses!

Syllabus

This course is packed with useful content, curated from our experience working with top-tier universities and learners all around the world. Get certified at the end of this course with a shareable digital badge.

Week 1

  • Meet your instructor
  • About this course
  • Lab create an Azure account
  • Using microsoft learn
  • Benefits and risks of using LLMS
  • Mitigating risks of LLMS
  • Deployment options for Inferencing
  • What is the Azure AI content safety feature
  • Quiz

Week 2

  • Creating a compute resource
  • Azure ML create resources
  • Creating an Azure Openai service resource
  • Deploy an Openai model
  • Creating a simple python example
  • Reviewing usage and Quotas
  • Quiz

Week 3

  • Using Semantic kernel with Azure
  • Using a system prompt
  • Defining functions
  • Using the function with the LLM
  • Consuming function arguments
  • Using a native function
  • Quiz

Week 4

  • What is RAG
  • Azure AI document intelligence and Azure Openai
  • Create the Embeddings
  • Setting up Azure components
  • Architectural overview
  • Quiz

Custom training for your company

We are ready to deliver this and other training to your group. We can usually accommodate different requirements and are flexible with the number of seats. Reach out to us at contact@paiml.com

  • Bulk pricing available
  • Customizable content
  • Ready to start on your schedule