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Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization

https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals

About this Specialization

This Specialization Certificate

Microsoft Certified AI-900 Azure AI Fundamentals certificate

This Specialization is intended for anyone interested in preparing for the Certified AI-900 Microsoft Azure AI Fundamentals Exam. This program consists of 5 courses to help prepare you to take the certification exam.

You will acquire foundational knowledge of the core concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions. This program is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

By the end of this program, you will be ready to take and sign-up for the AI-900 exam. The AI Fundamentals exam is an opportunity to demonstrate your knowledge of how to create AI solutions on Microsft Azure. Each course teaches you the core concepts and skills that are measured by the exam.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

This Specialization will prepare you to take the AI-900: Microsoft Azure AI Fundamentals exam. Upon completion of the Specialization, you will be offered a discount to the Microsoft Azure AI Fundamentals Certification Exam to be redeemed at Pearson Vue, Microsoft's proctor exam site. Limited discount vouchers are available on first-come-first-serve basis. Coursera and Microsoft may end the offer at any time.

1 Artificial Intelligence on Microsoft Azure

AI Workloads

  • Uses of AI
  • Prediction/forecasting
  • Features of anomaly detection
  • Computer vision
  • Natural language
  • Conversational

Responsible AI development (6 principles)

  • Fairness
  • Reliability & safety
  • Privacy & Security
  • Inclusiveness
  • Transparency
  • Accounttability

Career in AI

  • Solutions Architect
  • AI Engineer
  • Data Scientists

Certificate

2 Microsoft Azure Machine Learning

  • 1: Azure Machine Learning to train and deploy a predictive model  (Automated ML)

    • some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

  • 2: Create a Regression Model with Azure AI  (Designer)

    • how to train and publish a regression model with Azure Machine Learning designer without needing to write any code.
    • supervised

  • 3: Create a Classification Model with Azure AI  (Designer)

    • how to train and publish a classification model with Azure Machine Learning designer.
    • supervised

  • 4: Create a Clustering Model with Azure AI  (Designer)

    • how to train and publish a clustering model with Azure Machine Learning designer.
    • unsupervised

Certificate

3 Computer Vision in Microsoft Azure

  • 1:  Analyze and Classify Images with the Computer Vision Service

    • Use the Computer Vision service to analyze images

    • Use the Custom Vision service to create an image classification solution.

  • 2:  Object Detection with Azure AI

    • Use the Custom Vision service to create an object detection solution.

  • 3:  Analyze Faces, Text, and Receipts with Azure AI

    • Use the Face cognitive service to detect and analyze faces in images; integrate Face detection, analysis, and recognition into your application

    • Have your application use the Computer Vision service to read text in images using optical character recognition (OCR)

    • Use the built-in receipt processing capabilities of the Form Recognizer service

Certificate

4 Natural Language Processing in Microsoft Azure

  1. Text and Speech Processing with Microsoft Azure AI Services

    • analyze text with the Text Analytics service
    • recognize and synthesize speech using Microsoft Azure Cognitive Services.

  2. Work with Language in Azure AI

    • Automated translation capabilities in an AI solution enables closer collaboration by removing language barriers.
    • use the Translator Text and Speech cognitive services in Microsoft Azure for text and speech translation, enabling both real-time and batch-process translation.

  3. Explore conversational AI

    • conversational AI to Build a Bot with
      • QnA Maker
      • Microsoft Azure Bot Service.

Certificate

5 Preparing for AI-900: Microsoft Azure AI Fundamentals exam

Certificate