microsoft partner logo color
8245  Reviews star_rate star_rate star_rate star_rate star_half

Developing AI Solutions using Azure AI Foundry

In this Azure AI course, participants delve into Azure AI Foundry, exploring its full suite of tools and services to build, test, and deploy AI applications. Participants learn how to leverage Azure...

Read More
Course Code WA3643
Duration 1 day
Available Formats Classroom

In this Azure AI course, participants delve into Azure AI Foundry, exploring its full suite of tools and services to build, test, and deploy AI applications. Participants learn how to leverage Azure AI Foundry to streamline AI development and collaborate effectively within a unified platform.

Skills Gained

  • Grasp the features and capabilities of Azure AI Foundry.
  • Develop and deploy AI applications using Azure AI Foundry.
  • Implement best practices for teamwork and project management in AI development.
  • Utilize advanced AI and machine learning tools within Azure AI Foundry.
  • Ensure robust security and governance in AI projects.

Prerequisites

  • Basic knowledge of AI and machine learning concepts
  • Familiarity with Azure services
  • Experience with programming languages such as Python or C# (this course can be taught in either language)

Course Details

Setup Requirements

  • A computer with an internet connection
  • A remote lab VM with an Azure account with be provided as part of the training

Introduction to Azure AI Foundry

  • Overview of Azure AI Foundry and its role in AI development
  • Key features and capabilities of Azure AI Foundry
  • Setting up the development environment
  • Introduction to the Azure AI Foundry portal

Building AI Applications with Azure AI Foundry

  • Creating a new AI project in Azure AI Foundry
  • Implementing core functionalities with Azure AI models
  • Utilizing pre-built models and custom training
  • Managing dependencies and packages for AI projects
  • Debugging and testing AI applications locally and in the cloud

Deploying AI Solutions with Azure AI Foundry

  • Introduction to Azure Machine Learning services
  • Deploying AI models and applications using Azure AI Foundry
  • Configuring deployment settings and environment variables
  • Continuous integration and deployment with Azure DevOps
  • Monitoring and logging AI application performance

Advanced AI and Machine Learning Tools

  • Leveraging Azure Cognitive Services within Azure AI Foundry
  • Implementing Natural Language Processing (NLP) with Azure AI
  • Using computer vision and image recognition tools
  • Advanced data analytics with Azure Databricks
  • Real-time data processing with Azure Stream Analytics

Collaboration and Project Management

  • Managing AI projects and teams within Azure AI Foundry
  • Utilizing version control and collaboration tools
  • Best practices for team collaboration and communication
  • Tracking project progress and performance metrics
  • Case studies of successful AI project collaborations

Security and Governance in AI Development

  • Ensuring security in AI applications with Azure AI Foundry
  • Implementing authentication and authorization for AI projects
  • Using Azure Key Vault for managing secrets and sensitive data
  • Monitoring and maintaining compliance with Azure Security Center
  • Governance best practices for AI development and deployment

Conclusion and Advanced Topics

  • Recap of key concepts and skills learned in Azure AI Foundry
  • Exploring advanced Azure AI services and integrations
  • Preparing for certification exams related to Azure AI Foundry
  • Resources for further learning and development in Azure AI