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Pearson Exam AI 900 Microsoft Azure AI Fundamentals FreeCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. Bonus Resources.txt 386 bytes
  3. 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction en.srt 6.3 KB
  4. 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4 23.6 MB
  5. 001. Learning objectives en.srt 509 bytes
  6. 001. Learning objectives.mp4 2.0 MB
  7. 002. 1.1 Identify features of anomaly detection workloads en.srt 5.0 KB
  8. 002. 1.1 Identify features of anomaly detection workloads.mp4 5.7 MB
  9. 003. 1.2 Identify computer vision workloads en.srt 2.0 KB
  10. 003. 1.2 Identify computer vision workloads.mp4 2.5 MB
  11. 004. 1.3 Identify natural language processing workloads en.srt 3.1 KB
  12. 004. 1.3 Identify natural language processing workloads.mp4 3.7 MB
  13. 005. 1.4 Identify knowledge mining workloads.mp4 35.3 MB
  14. 001. Learning objectives.mp4 2.9 MB
  15. 002. 10.1 Identify features and uses for bots.mp4 7.9 MB
  16. 003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4 27.7 MB
  17. 001. Learning objectives.mp4 3.7 MB
  18. 002. 2.1 Describe considerations for fairness in an AI solution.mp4 3.3 MB
  19. 003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4 1.7 MB
  20. 004. 2.3 Describe considerations for privacy and security in an AI solution.mp4 2.0 MB
  21. 005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4 1.5 MB
  22. 006. 2.5 Describe considerations for transparency in an AI solution.mp4 3.2 MB
  23. 007. 2.6 Describe considerations for accountability in an AI solution.mp4 13.6 MB
  24. 001. Learning objectives.mp4 2.8 MB
  25. 002. 3.1 Identify regression machine learning scenarios.mp4 9.5 MB
  26. 003. 3.2 Identify classification machine learning scenarios.mp4 2.4 MB
  27. 004. 3.3 Identify clustering machine learning scenarios.mp4 34.1 MB
  28. 001. Learning objectives.mp4 2.5 MB
  29. 002. 4.1 Identify features and labels in a dataset for machine learning.mp4 7.5 MB
  30. 003. 4.2 Describe how training and validation datasets are used in machine learning.mp4 29.9 MB
  31. 001. Learning objectives.mp4 2.8 MB
  32. 002. 5.1 Automated machine learning.mp4 4.7 MB
  33. 003. 5.2 Azure Machine Learning designer.mp4 65.4 MB
  34. 001. Learning objectives.mp4 3.7 MB
  35. 002. 6.1 Identify features of image classification solutions.mp4 12.2 MB
  36. 003. 6.2 Identify features of object detection solutions.mp4 3.8 MB
  37. 004. 6.3 Identify features of optical character recognition solutions.mp4 2.3 MB
  38. 005. 6.4 Identify features of facial detection and facial analysis solutions.mp4 60.2 MB
  39. 001. Learning objectives.mp4 3.8 MB
  40. 002. 7.1 Identify capabilities of the Computer Vision service.mp4 1.2 MB
  41. 003. 7.2 Identify capabilities of the Custom Vision service.mp4 3.6 MB
  42. 004. 7.3 Identify capabilities of the Face service.mp4 2.1 MB
  43. 005. 7.4 Identify capabilities of the Form Recognizer service.mp4 36.9 MB
  44. 001. Learning objectives.mp4 3.8 MB
  45. 002. 8.1 Identify features and uses for key phrase extraction.mp4 6.5 MB
  46. 003. 8.2 Identify features and uses for entity recognition.mp4 2.8 MB
  47. 004. 8.3 Identify features and uses for sentiment analysis.mp4 3.4 MB
  48. 005. 8.4 Identify features and uses for language modeling.mp4 723.4 KB
  49. 006. 8.5 Identify features and uses for speech recognition and synthesis.mp4 3.9 MB
  50. 007. 8.6 Identify features and uses for translation.mp4 20.3 MB
  51. 001. Learning objectives.mp4 3.0 MB
  52. 002. 9.1 Identify capabilities of the Language service.mp4 4.1 MB
  53. 003. 9.2 Identify capabilities of the Speech service.mp4 1.5 MB
  54. 004. 9.3 Identify capabilities of the Translator service.mp4 25.3 MB
  55. 001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4 15.8 MB

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