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Exam AI-900 Microsoft Azure AI Fundamentals

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文件列表

  1. Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/003. 5.2 Azure Machine Learning designer.mp4 65MB
  2. Lesson 6 Identify Common Types of Computer Vision Solution/005. 6.4 Identify features of facial detection and facial analysis solutions.mp4 60MB
  3. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/005. 7.4 Identify capabilities of the Form Recognizer service.mp4 37MB
  4. Lesson 1 Identify Features of Common AI Workloads/005. 1.4 Identify knowledge mining workloads.mp4 35MB
  5. Lesson 3 Identify Common Machine Learning Types/004. 3.3 Identify clustering machine learning scenarios.mp4 34MB
  6. Lesson 4 Describe Core Machine Learning Concepts/003. 4.2 Describe how training and validation datasets are used in machine learning.mp4 30MB
  7. Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4 28MB
  8. Lesson 9 Identify Azure Tools and Services for NLP Workloads/004. 9.3 Identify capabilities of the Translator service.mp4 25MB
  9. Introduction/001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4 24MB
  10. Lesson 8 Identify Features of Common NLP Workload Scenarios/007. 8.6 Identify features and uses for translation.mp4 20MB
  11. Summary/001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4 16MB
  12. Lesson 2 Identify Guiding Principles for Responsible AI/007. 2.6 Describe considerations for accountability in an AI solution.mp4 14MB
  13. Lesson 6 Identify Common Types of Computer Vision Solution/002. 6.1 Identify features of image classification solutions.mp4 12MB
  14. Lesson 3 Identify Common Machine Learning Types/002. 3.1 Identify regression machine learning scenarios.mp4 9MB
  15. Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/002. 10.1 Identify features and uses for bots.mp4 8MB
  16. Lesson 4 Describe Core Machine Learning Concepts/002. 4.1 Identify features and labels in a dataset for machine learning.mp4 8MB
  17. Lesson 8 Identify Features of Common NLP Workload Scenarios/002. 8.1 Identify features and uses for key phrase extraction.mp4 7MB
  18. Lesson 1 Identify Features of Common AI Workloads/002. 1.1 Identify features of anomaly detection workloads.mp4 6MB
  19. Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/002. 5.1 Automated machine learning.mp4 5MB
  20. Lesson 9 Identify Azure Tools and Services for NLP Workloads/002. 9.1 Identify capabilities of the Language service.mp4 4MB
  21. Lesson 8 Identify Features of Common NLP Workload Scenarios/006. 8.5 Identify features and uses for speech recognition and synthesis.mp4 4MB
  22. Lesson 8 Identify Features of Common NLP Workload Scenarios/001. Learning objectives.mp4 4MB
  23. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/001. Learning objectives.mp4 4MB
  24. Lesson 6 Identify Common Types of Computer Vision Solution/003. 6.2 Identify features of object detection solutions.mp4 4MB
  25. Lesson 6 Identify Common Types of Computer Vision Solution/001. Learning objectives.mp4 4MB
  26. Lesson 1 Identify Features of Common AI Workloads/004. 1.3 Identify natural language processing workloads.mp4 4MB
  27. Lesson 2 Identify Guiding Principles for Responsible AI/001. Learning objectives.mp4 4MB
  28. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/003. 7.2 Identify capabilities of the Custom Vision service.mp4 4MB
  29. Lesson 8 Identify Features of Common NLP Workload Scenarios/004. 8.3 Identify features and uses for sentiment analysis.mp4 3MB
  30. Lesson 2 Identify Guiding Principles for Responsible AI/002. 2.1 Describe considerations for fairness in an AI solution.mp4 3MB
  31. Lesson 2 Identify Guiding Principles for Responsible AI/006. 2.5 Describe considerations for transparency in an AI solution.mp4 3MB
  32. Lesson 9 Identify Azure Tools and Services for NLP Workloads/001. Learning objectives.mp4 3MB
  33. Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/001. Learning objectives.mp4 3MB
  34. Lesson 8 Identify Features of Common NLP Workload Scenarios/003. 8.2 Identify features and uses for entity recognition.mp4 3MB
  35. Lesson 3 Identify Common Machine Learning Types/001. Learning objectives.mp4 3MB
  36. Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/001. Learning objectives.mp4 3MB
  37. Lesson 4 Describe Core Machine Learning Concepts/001. Learning objectives.mp4 3MB
  38. Lesson 1 Identify Features of Common AI Workloads/003. 1.2 Identify computer vision workloads.mp4 2MB
  39. Lesson 3 Identify Common Machine Learning Types/003. 3.2 Identify classification machine learning scenarios.mp4 2MB
  40. Lesson 6 Identify Common Types of Computer Vision Solution/004. 6.3 Identify features of optical character recognition solutions.mp4 2MB
  41. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/004. 7.3 Identify capabilities of the Face service.mp4 2MB
  42. Lesson 2 Identify Guiding Principles for Responsible AI/004. 2.3 Describe considerations for privacy and security in an AI solution.mp4 2MB
  43. Lesson 1 Identify Features of Common AI Workloads/001. Learning objectives.mp4 2MB
  44. Lesson 2 Identify Guiding Principles for Responsible AI/003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4 2MB
  45. Lesson 9 Identify Azure Tools and Services for NLP Workloads/003. 9.2 Identify capabilities of the Speech service.mp4 2MB
  46. Lesson 2 Identify Guiding Principles for Responsible AI/005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4 1MB
  47. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/002. 7.1 Identify capabilities of the Computer Vision service.mp4 1MB
  48. Lesson 8 Identify Features of Common NLP Workload Scenarios/005. 8.4 Identify features and uses for language modeling.mp4 723KB
  49. Lesson 6 Identify Common Types of Computer Vision Solution/005. 6.4 Identify features of facial detection and facial analysis solutions en.srt 32KB
  50. Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/003. 5.2 Azure Machine Learning designer en.srt 31KB
  51. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/005. 7.4 Identify capabilities of the Form Recognizer service en.srt 20KB
  52. Lesson 1 Identify Features of Common AI Workloads/005. 1.4 Identify knowledge mining workloads en.srt 19KB
  53. Lesson 3 Identify Common Machine Learning Types/004. 3.3 Identify clustering machine learning scenarios en.srt 18KB
  54. Lesson 4 Describe Core Machine Learning Concepts/003. 4.2 Describe how training and validation datasets are used in machine learning en.srt 17KB
  55. Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service en.srt 16KB
  56. Lesson 9 Identify Azure Tools and Services for NLP Workloads/004. 9.3 Identify capabilities of the Translator service en.srt 13KB
  57. Lesson 8 Identify Features of Common NLP Workload Scenarios/007. 8.6 Identify features and uses for translation en.srt 11KB
  58. Lesson 6 Identify Common Types of Computer Vision Solution/002. 6.1 Identify features of image classification solutions en.srt 9KB
  59. Lesson 3 Identify Common Machine Learning Types/002. 3.1 Identify regression machine learning scenarios en.srt 8KB
  60. Lesson 2 Identify Guiding Principles for Responsible AI/007. 2.6 Describe considerations for accountability in an AI solution en.srt 7KB
  61. Lesson 4 Describe Core Machine Learning Concepts/002. 4.1 Identify features and labels in a dataset for machine learning en.srt 6KB
  62. Introduction/001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction en.srt 6KB
  63. Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/002. 10.1 Identify features and uses for bots en.srt 6KB
  64. Lesson 1 Identify Features of Common AI Workloads/002. 1.1 Identify features of anomaly detection workloads en.srt 5KB
  65. Lesson 8 Identify Features of Common NLP Workload Scenarios/002. 8.1 Identify features and uses for key phrase extraction en.srt 5KB
  66. Summary/001. Exam AI-900 Microsoft Azure AI Fundamentals Summary en.srt 5KB
  67. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/003. 7.2 Identify capabilities of the Custom Vision service en.srt 3KB
  68. Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/002. 5.1 Automated machine learning en.srt 3KB
  69. Lesson 9 Identify Azure Tools and Services for NLP Workloads/002. 9.1 Identify capabilities of the Language service en.srt 3KB
  70. Lesson 8 Identify Features of Common NLP Workload Scenarios/006. 8.5 Identify features and uses for speech recognition and synthesis en.srt 3KB
  71. Lesson 1 Identify Features of Common AI Workloads/004. 1.3 Identify natural language processing workloads en.srt 3KB
  72. Lesson 6 Identify Common Types of Computer Vision Solution/003. 6.2 Identify features of object detection solutions en.srt 3KB
  73. Lesson 2 Identify Guiding Principles for Responsible AI/002. 2.1 Describe considerations for fairness in an AI solution en.srt 3KB
  74. Lesson 2 Identify Guiding Principles for Responsible AI/006. 2.5 Describe considerations for transparency in an AI solution en.srt 2KB
  75. Lesson 8 Identify Features of Common NLP Workload Scenarios/004. 8.3 Identify features and uses for sentiment analysis en.srt 2KB
  76. Lesson 8 Identify Features of Common NLP Workload Scenarios/003. 8.2 Identify features and uses for entity recognition en.srt 2KB
  77. Lesson 1 Identify Features of Common AI Workloads/003. 1.2 Identify computer vision workloads en.srt 2KB
  78. Lesson 3 Identify Common Machine Learning Types/003. 3.2 Identify classification machine learning scenarios en.srt 2KB
  79. Lesson 6 Identify Common Types of Computer Vision Solution/004. 6.3 Identify features of optical character recognition solutions en.srt 2KB
  80. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/004. 7.3 Identify capabilities of the Face service en.srt 2KB
  81. Lesson 2 Identify Guiding Principles for Responsible AI/004. 2.3 Describe considerations for privacy and security in an AI solution en.srt 1KB
  82. Lesson 2 Identify Guiding Principles for Responsible AI/003. 2.2 Describe considerations for reliability and safety in an AI solution en.srt 1KB
  83. Lesson 2 Identify Guiding Principles for Responsible AI/005. 2.4 Describe considerations for inclusiveness in an AI solution en.srt 1KB
  84. Lesson 6 Identify Common Types of Computer Vision Solution/001. Learning objectives en.srt 982B
  85. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/001. Learning objectives en.srt 978B
  86. Lesson 8 Identify Features of Common NLP Workload Scenarios/001. Learning objectives en.srt 922B
  87. Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/002. 7.1 Identify capabilities of the Computer Vision service en.srt 913B
  88. Lesson 9 Identify Azure Tools and Services for NLP Workloads/003. 9.2 Identify capabilities of the Speech service en.srt 907B
  89. Lesson 2 Identify Guiding Principles for Responsible AI/001. Learning objectives en.srt 877B
  90. Lesson 9 Identify Azure Tools and Services for NLP Workloads/001. Learning objectives en.srt 804B
  91. Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/001. Learning objectives en.srt 779B
  92. Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/001. Learning objectives en.srt 740B
  93. Lesson 3 Identify Common Machine Learning Types/001. Learning objectives en.srt 731B
  94. Lesson 4 Describe Core Machine Learning Concepts/001. Learning objectives en.srt 659B
  95. Lesson 1 Identify Features of Common AI Workloads/001. Learning objectives en.srt 509B
  96. Lesson 8 Identify Features of Common NLP Workload Scenarios/005. 8.4 Identify features and uses for language modeling en.srt 390B