Introduction to Azure AI, AI Studio and LLMOps

Instructor-led Training

Course Description

In this two-day course, participants will start the morning with an introduction to the capabilities of Artificial Intelligence and Machine Learning available in Azure. The focus of this course will be about enabling citizen developers to use readily available, easily accessible tools, to improve quality, accuracy, and speed. Students will learn how to use AI Builder to process various types of documents in a workflow.

In the afternoon, the focus will switch to an introduction into one of the newest features available Copilot Studio and from there will go into the more advanced Azure AI Studio. It offers more enterprise features that allow you to collaborate on AI projects as a team and build out more complex bots and easily create a bot that searches your own data.

On day two the focus will switch to an overview of providing a structured approach to developing LLM-infused applications, guiding users through building, testing, optimizing, and deploying flows. This streamlined process results in the creation of fully functional LLM-infused solutions.

Throughout the course students will complete challenge-based tasks in Azure to understand the concepts in a hands-on manner.

About this Course

Modules Day 1 

  • Overview 
  • AI/ML Introduction 
  • AI Builder overview 
  • Extract information from invoices 
  • Extract text in photos and PDF documents 
  • Extract custom information from documents 
  • Copilot Studio overview 
  • Azure AI Studio overview 
  • Explore AI Studio 
  • Get started with prompt flow 
  • Create a custom copilot that uses your own data 

Modules Day 2 

  • Introduction to Azure Machine Learning and Prompt Flow 
  • Overview of Azure Machine Learning capabilities 
  • Introduction to Prompt Flow in Azure Machine Learning 
  •  Understanding the LLMOps with Prompt Flow 
  • Setting Up Your Environment 
  • Configuring Azure DevOps for machine learning projects 
  •  Establishing a code repository for Prompt Flow 
  • Preparing your local environment for Prompt Flow development 
  • Developing with Prompt Flow 
  • Exploring the Prompt Flow features and lifecycle 
  • Managing code with centralized hosting 
  • Implementing variant and hyperparameter experimentation 
  • Deployment and Testing 
  • Understanding deployment targets and Docker integration 
  • Executing A/B deployments and evaluating results 
  • Managing datasets and model registration 
  • CI/CD Integration 
  • Integrating Prompt Flow with CI/CD pipelines 
  • Versioning and managing releases with Azure DevOps 
  • Transitioning from local to cloud environments 

2 Days

Beginner

  • Azure AI
  • AI Studio
  • Citizen developers 
  • Business users 
  • Business Analysts and Strategists 
  • Cloud Technology Enthusiasts 

Need to Train a Team?

Contact us to schedule a dedicated class for your team.