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Microsoft Certified: Azure AI Fundamentals (AI900)

This one-day Microsoft certified course is designed for candidates looking to demonstrate foundational-level knowledge of machine learning (ML) and artificial intelligence (AI) concepts, and related Microsoft Azure services. You will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through hands-on activities. The course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

This training is a comprehensive preparation for the AI-900: Microsoft Azure AI Fundamentals exam to earn the Microsoft Certified: Azure AI Fundamentals certification.

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Public class

Virtual classroom
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To be determined 
$695$
 
English
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695$
Duration: 
1 day / 7 hours

Private class

Virtual classroom
Minimum no. of participants: 5
1 day / 7 hours
Price on request
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Training plan: 

Microsoft Azure AI Fundamentals (AI-900T00)

Module 1: Get started with AI on Azure

  • Understand machine learning
  • Understand anomaly detection
  • Understand computer vision
  • Understand natural language processing
  • Understand knowledge mining
  • Challenges and risks with AI
  • Understand Responsible AI

Module 2: Use Automated Machine Learning in Azure Machine Learning

  • What is machine learning?
  • What is Azure Machine Learning studio?
  • What is Azure Automated Machine Learning?
  • Understand the AutoML process

Module 3: Create a regression model with Azure Machine Learning designer

  • Identify regression machine learning scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning designer?
  • Understand steps for regression

Module 4: Create a classification model with Azure Machine Learning designer

  • Identify classification machine learning scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning designer?
  • Understand steps for classification

Module 5: Create a clustering model with Azure Machine Learning designer

  • Identify clustering machine learning scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning designer?
  • Understand steps for clustering

Module 6: Analyze images with the Computer Vision service

  • Get started with image analysis on Azure

Module 7: Classify images with the Custom Vision service

  • Understand classification
  • Get started with image classification on Azure

Module 8: Detect objects in images with the Custom Vision service

  • What is object detection?
  • Get started with object detection on Azure

Module 9: Detect and analyze faces with the Face service

  • Get started with Face analysis on Azure

Module 10: Read text with the Computer Vision service

  • Get started with the Read API on Azure

Module 11: Analyze receipts with the Form Recognizer service

  • Get started with receipt analysis on Azure

Module 12: Analyze text with the Language service

  • Get started with text analysis

Module 13: Recognize and synthesize speech

  • Get started with speech on Azure

Module 14: Translate text and speech

  • Get started with translation in Azure

Module 15: Create a language model with Conversational Language Understanding

  • Getting started with Conversational Language Understanding

Module 16: Build a bot with the Language Service and Azure Bot Service

  • Get started with the Language service and Azure Bot Service
Exclusives: 

  • Up to date courseware with Microsoft Learn

  • Microsoft course achievement badge

View the complete list of exclusives offered for your course
Prerequisites: 

Before attending this course, students must have:

  • Experience using computers and the internet.
  • Interest in use cases for AI applications and machine learning models. 
  • A willingness to learn through hands-on exploration.
Certification information: 
  • Exam code: AI-900
  • Cost: 99 USD
  • Skills measured
    • Describe Artificial Intelligence workloads and considerations
    • Describe fundamental principles of machine learning on Azure
    • Describe features of computer vision workloads on Azure
    • Describe features of Natural Language Processing (NLP) workloads on Azure
Follow-on trainings: 
Microsoft Certified: Azure AI Engineer Associate (AI102)
Microsoft Certified: Azure Data Scientist Associate (DP100)
Audiences: 
Cloud User
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