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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...

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Duration 1 day
Course Code WA3643
Available Formats Classroom

Overview

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
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Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

Contact Information

FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

Class was easy to sign up for and ExitCertified provided very good communication

Good course. I appreciate the time the instructor put into teaching this class.

Overall experiance is very nice. the online training plateform is very advance.

Both course material and instructor demonstrated a sound foundation on Maximo material

Concise and good to follow along. Although it is a lot to take in under a short period of time.