Azure AI Fundamentals Certification 2024 (AI-900) - Full Course to PASS the Exam

Azure AI Fundamentals Certification 2024 (AI-900) - Full Course to PASS the Exam

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🎤 Introduction to Azure OpenAI Service

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74 of 95

🎤 Introduction to Azure OpenAI Service

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Classroom Contents

Azure AI Fundamentals Certification 2024 (AI-900) - Full Course to PASS the Exam

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  1. 1 🎤 Introduction to AI-900
  2. 2 🎤 Exam Guide Breakdown
  3. 3 🎤 Layers of Machine Learning
  4. 4 🎤 Key Elements of AI
  5. 5 🎤 DataSets
  6. 6 🎤 Labeling
  7. 7 🎤 Supervised and Unsupervised Reinforcement
  8. 8 🎤 Netural Networks and Deep Learning
  9. 9 🎤 GPU
  10. 10 🎤 CUDA
  11. 11 🎤 Simple ML Pipeline
  12. 12 🎤 Forecast vs Prediction
  13. 13 🎤 Metrics
  14. 14 🎤 Juypter Notebooks
  15. 15 🎤 Regression
  16. 16 🎤 Classification
  17. 17 🎤 Clustering
  18. 18 🎤 Confusion Matrix
  19. 19 🎤 Anomaly Detection AI
  20. 20 🎤 Computer Vision AI
  21. 21 🎤 Natural Language Processing AI
  22. 22 🎤 Conversational AI
  23. 23 🎤 Responsible AI
  24. 24 🎤 Fairness
  25. 25 🎤 Reliability and safety
  26. 26 🎤 Privacy and security
  27. 27 🎤 Inclusiveness
  28. 28 🎤 Transparency
  29. 29 🎤 Accountability
  30. 30 🎤 Guidelines for Human AI Interaction
  31. 31 🎤 Follow Along Guidelines for Human AI Interaction
  32. 32 🎤 Azure Cognitive Services
  33. 33 🎤 Congitive API Key and Endpoint
  34. 34 🎤 Knowledge Mining
  35. 35 🎤 Face Service
  36. 36 🎤 Speech and Translate Service
  37. 37 🎤 Text Analytics
  38. 38 🎤 OCR Computer Vision
  39. 39 🎤 Form Recognizer
  40. 40 🎤 Form Recognizer Custom Models
  41. 41 🎤 Form Recognizer Prebuilt Models
  42. 42 🎤 LUIS
  43. 43 🎤 QnA Maker
  44. 44 🎤 Azure Bot Service
  45. 45 🎤 Azure Machine Learning Service
  46. 46 🎤 Studio Overview
  47. 47 🎤 Studio Compute
  48. 48 🎤 Studio Data Labeling
  49. 49 🎤 Data Stores
  50. 50 🎤 Datasets
  51. 51 🎤 Experiments
  52. 52 🎤 Pipelines
  53. 53 🎤 ML Designer
  54. 54 🎤 Model Registry
  55. 55 🎤 Endpoints
  56. 56 🎤 Notebooks
  57. 57 🎤 Introduction to AutoML
  58. 58 🎤 Data Guard Rails
  59. 59 🎤 Automatic Featurization
  60. 60 🎤 Model Selection
  61. 61 🎤 Explanation
  62. 62 🎤 Primary Metrics
  63. 63 🎤 Validation Type
  64. 64 🎤 Introduction to Custom Vision
  65. 65 🎤 Project Types and Domains
  66. 66 🎤 Custom Vision Features
  67. 67 🎤 AI vs Generative AI
  68. 68 🎤 What is a LLM Large Language Model
  69. 69 🎤 Transformer models
  70. 70 🎤 Tokenization
  71. 71 🎤 Embeddings
  72. 72 🎤 Positional encoding
  73. 73 🎤 Attention
  74. 74 🎤 Introduction to Azure OpenAI Service
  75. 75 🎤 Azure OpenAI Studio
  76. 76 🎤 Azure OpenAI service pricing
  77. 77 🎤 What are Copilots
  78. 78 🎤 Prompt engineering
  79. 79 🎤 Grounding
  80. 80 🎤 Copilot demo
  81. 81 🎤 Setup
  82. 82 🎤 Computer Vision
  83. 83 🎤 Custom Vision Classification
  84. 84 🎤 Custom Vision Object Detection
  85. 85 🎤 Face Service
  86. 86 🎤 Form Recognizer
  87. 87 🎤 OCR
  88. 88 🎤 Text Analysis
  89. 89 🎤 QnAMaker
  90. 90 🎤 LUIS
  91. 91 🎤 AutoML
  92. 92 🎤 Designer
  93. 93 🎤 MNIST
  94. 94 🎤 Data Labeling
  95. 95 🎤 Clean up

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