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Cheat sheet

Azure AI Fundamentals (AI-900)

AI and machine learning concepts and the Azure AI services, for beginners.

Study & career skills · Beginner · English · 96 videos · 4 h 33 min · videos by ExamPro

By the end you should be able to

  1. Describe common AI workloads and responsible-AI principles
  2. Explain machine learning fundamentals
  3. Use Azure AI services for vision, language and generative AI

Watch in this order

  1. 1.Meet Your Instructor1 min
  2. 2.AI 900: Introduction8 min
  3. 3.Exam Guide Breakdown5 min
  4. 4.Layers of Machine Learning1 min
  5. 5.Key Elements of AI1 min
  6. 6.DataSets2 min
  7. 7.Labeling1 min
  8. 8.Supervised and Unsupervised Reinforcement1 min
  9. 9.Neural Networks and Deep Learning2 min
  10. 10.GPU for Machine Learning1 min
  11. 11.Understanding CUDA1 min
  12. 12.Simple ML Pipeline2 min
  13. 13.Forecast vs Prediction1 min
  14. 14.Metrics2 min
  15. 15.Jupyter Notebooks1 min
  16. 16.Regression2 min
  17. 17.Classification1 min
  18. 18.Clustering1 min
  19. 19.Confusion Matrix2 min
  20. 20.Anomaly Detection AI1 min
  21. 21.Computer Vision AI2 min
  22. 22.Natural Language Processing AI2 min
  23. 23.Conversational AI2 min
  24. 24.Responsible AI1 min
  25. 25.Fairness in AI1 min
  26. 26.Reliability and Safety in AI1 min
  27. 27.Privacy and Security in AI1 min
  28. 28.Inclusiveness in AI1 min
  29. 29.Transparency in AI1 min
  30. 30.Accountability in AI1 min
  31. 31.Guidelines for Human AI Interaction1 min
  32. 32.Guidelines for Human AI Interaction Follow Along11 min
  33. 33.Azure Cognitive Services2 min
  34. 34.Cognitive API Key and Endpoint1 min
  35. 35.Knowledge Mining5 min
  36. 36.Face Service Overview: Azure AI Course2 min
  37. 37.Speech and Translate Service2 min
  38. 38.Text Analytics3 min
  39. 39.OCR Computer Vision1 min
  40. 40.Form Recognizer2 min
  41. 41.Form Recognizer Custom Models1 min
  42. 42.Form Recognizer Prebuilt Models2 min
  43. 43.LUIS (Language Understanding Intelligent Service)2 min
  44. 44.QnA Maker Overview: Azure AI Course4 min
  45. 45.Azure Bot Service2 min
  46. 46.Azure Machine Learning Service1 min
  47. 47.AI 900: Studio Overview1 min
  48. 48.Studio Compute1 min
  49. 49.Studio Data Labeling1 min
  50. 50.Data Stores1 min
  51. 51.Datasets1 min
  52. 52.Experiments1 min
  53. 53.Pipelines1 min
  54. 54.ML Designer1 min
  55. 55.Model Registry1 min
  56. 56.Endpoints1 min
  57. 57.Notebooks1 min
  58. 58.Introduction to AutoML3 min
  59. 59.Data Guard Rails1 min
  60. 60.Automatic Featurization2 min
  61. 61.Model Selection1 min
  62. 62.Explanation1 min
  63. 63.Primary Metrics2 min
  64. 64.Validation Type1 min
  65. 65.Introduction to Custom Vision1 min
  66. 66.Project Types and Domains3 min
  67. 67.Custom Vision Features3 min
  68. 68.Follow Alongs: Setup11 min
  69. 69.Computer Vision Follow Along4 min
  70. 70.Custom Vision Classification Follow Along7 min
  71. 71.Face Service Advanced Features3 min
  72. 72.Follow Along: Form Recognizer3 min
  73. 73.OCR Techniques Follow Along5 min
  74. 74.Follow Along: Text Analysis4 min
  75. 75.Using QnAMaker Follow Along19 min
  76. 76.LUIS Advanced Features Follow Along6 min
  77. 77.Follow Along: AutoML17 min
  78. 78.Follow Along: Designer10 min
  79. 79.Follow Along: MNIST20 min
  80. 80.Follow Along: Data Labeling4 min
  81. 81.Follow Along: Clean up1 min
  82. 82.AI CheatSheet11 min
  83. 83.What is a LLM2 min
  84. 84.Transformer models1 min
  85. 85.Tokenization1 min
  86. 86.Embeddings1 min
  87. 87.Positional encoding2 min
  88. 88.Attention4 min
  89. 89.Azure OpenAI Service2 min
  90. 90.Azure OpenAI Studio1 min
  91. 91.Azure OpenAI Service pricing1 min
  92. 92.What is copilots2 min
  93. 93.Prompt engineering3 min
  94. 94.Grounding2 min
  95. 95.Data Labeling4 min
  96. 96.Clean up1 min

Before you start: None

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