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Microsoft Azure AI Fundamental

AI-900: Microsoft Azure AI Fundamental, machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material. if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of: Basic cloud concepts Client-server applications.

1. Identify features of common AI workloads

  • Identify features of content moderation and personalization workloads
  • Identify computer vision workloads
  • Identify natural language processing workloads
  • Identify knowledge mining workloads
  • Identify document intelligence workloads
  • Identify features of generative AI workloads

  • Describe considerations for fairness in an AI solution
  • Describe considerations for reliability and safety in an AI solution
  • Describe considerations for privacy and security in an AI solution
  • Describe considerations for inclusiveness in an AI solution
  • Describe considerations for transparency in an AI solution
  • Describe considerations for accountability in an AI solution

  • Identify regression machine learning scenarios
  • Identify classification machine learning scenarios
  • Identify clustering machine learning scenarios
  • Identify features of deep learning techniques

  • Identify features and labels in a dataset for machine learning
  • Describe how training and validation datasets are used in machine learning

  • Describe capabilities of Automated machine learning
  • Describe data and compute services for data science and machine learning
  • Describe model management and deployment capabilities in Azure Machine Learning

  • Identify features of image classification solutions
  • Identify features of object detection solutions
  • Identify features of optical character recognition solutions
  • Identify features of facial detection and facial analysis solutions

  • Describe capabilities of the Azure AI Vision service
  • Describe capabilities of the Azure AI Face detection service
  • Describe capabilities of the Azure AI Video Indexer service

  • Identify features and uses for key phrase extraction
  • Identify features and uses for entity recognition
  • Identify features and uses for sentiment analysis
  • Identify features and uses for language modeling
  • Identify features and uses for speech recognition and synthesis
  • Identify features and uses for translation

  • Describe capabilities of the Azure AI Language service
  • Describe capabilities of the Azure AI Speech service
  • Describe capabilities of the Azure AI Translator service

  • Identify features of generative AI models
  • Identify common scenarios for generative AI
  • Identify responsible AI considerations for generative AI

  • Describe natural language generation capabilities of Azure OpenAI Service
  • Describe code generation capabilities of Azure OpenAI Service
  • Describe image generation capabilities of Azure OpenAI Service


Fees Structure : 4900 INR / 60 USD
Total No of Class : 44 Video Class
Class Duration : 19:30 Working Hours
Download Feature : Download Avalable
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Working Hours : Monday to Firday 9 AM to 6 PM
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Fees Structure : 7500 INR / 92 USD
Class Duration : 60 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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