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Pearson - Exam AI-900 Microsoft Azure AI Fundamentals

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3:07:06

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  • 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4
    04:02
  • 001. Learning objectives.mp4
    00:22
  • 002. 1.1 Identify features of anomaly detection workloads.mp4
    03:27
  • 003. 1.2 Identify computer vision workloads.mp4
    01:27
  • 004. 1.3 Identify natural language processing workloads.mp4
    02:06
  • 005. 1.4 Identify knowledge mining workloads.mp4
    12:31
  • 001. Learning objectives.mp4
    00:39
  • 002. 2.1 Describe considerations for fairness in an AI solution.mp4
    01:54
  • 003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4
    00:51
  • 004. 2.3 Describe considerations for privacy and security in an AI solution.mp4
    01:04
  • 005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4
    00:43
  • 006. 2.5 Describe considerations for transparency in an AI solution.mp4
    01:41
  • 007. 2.6 Describe considerations for accountability in an AI solution.mp4
    04:17
  • 001. Learning objectives.mp4
    00:31
  • 002. 3.1 Identify regression machine learning scenarios.mp4
    05:27
  • 003. 3.2 Identify classification machine learning scenarios.mp4
    01:18
  • 004. 3.3 Identify clustering machine learning scenarios.mp4
    11:34
  • 001. Learning objectives.mp4
    00:28
  • 002. 4.1 Identify features and labels in a dataset for machine learning.mp4
    04:16
  • 003. 4.2 Describe how training and validation datasets are used in machine learning.mp4
    10:43
  • 001. Learning objectives.mp4
    00:32
  • 002. 5.1 Automated machine learning.mp4
    02:33
  • 003. 5.2 Azure Machine Learning designer.mp4
    19:47
  • 001. Learning objectives.mp4
    00:40
  • 002. 6.1 Identify features of image classification solutions.mp4
    06:17
  • 003. 6.2 Identify features of object detection solutions.mp4
    02:01
  • 004. 6.3 Identify features of optical character recognition solutions.mp4
    01:13
  • 005. 6.4 Identify features of facial detection and facial analysis solutions.mp4
    20:15
  • 001. Learning objectives.mp4
    00:40
  • 002. 7.1 Identify capabilities of the Computer Vision service.mp4
    00:42
  • 003. 7.2 Identify capabilities of the Custom Vision service.mp4
    02:01
  • 004. 7.3 Identify capabilities of the Face service.mp4
    01:05
  • 005. 7.4 Identify capabilities of the Form Recognizer service.mp4
    12:35
  • 001. Learning objectives.mp4
    00:41
  • 002. 8.1 Identify features and uses for key phrase extraction.mp4
    03:28
  • 003. 8.2 Identify features and uses for entity recognition.mp4
    01:24
  • 004. 8.3 Identify features and uses for sentiment analysis.mp4
    01:38
  • 005. 8.4 Identify features and uses for language modeling.mp4
    00:20
  • 006. 8.5 Identify features and uses for speech recognition and synthesis.mp4
    02:12
  • 007. 8.6 Identify features and uses for translation.mp4
    07:12
  • 001. Learning objectives.mp4
    00:34
  • 002. 9.1 Identify capabilities of the Language service.mp4
    02:10
  • 003. 9.2 Identify capabilities of the Speech service.mp4
    00:42
  • 004. 9.3 Identify capabilities of the Translator service.mp4
    08:28
  • 001. Learning objectives.mp4
    00:34
  • 002. 10.1 Identify features and uses for bots.mp4
    04:09
  • 003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4
    10:59
  • 001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4
    02:53
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    Pearson's video training library is an indispensable learning tool for today's competitive job market. Having essential technology training and certifications can open doors for career advancement and life enrichment. We take learning personally. We've published hundreds of up-to-date videos on wide variety of key topics for Professionals and IT Certification candidates. Now you can learn from renowned industry experts from anywhere in the world, without leaving home.
    • language english
    • Training sessions 48
    • duration 3:07:06
    • English subtitles has
    • Release Date 2023/09/26