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  1. Урок 1. 00:02:13
    A message from the instructor
  2. Урок 2. 00:02:05
    Agenda
  3. Урок 3. 00:11:41
    Why: Motivation
  4. Урок 4. 00:10:35
    MLOps Stages
  5. Урок 5. 00:03:35
    MLOps assessment
  6. Урок 6. 00:05:10
    Design document
  7. Урок 7. 00:04:37
    Practice
  8. Урок 8. 00:22:39
    Practice implementation example
  9. Урок 9. 00:00:52
    Takeaways
  10. Урок 10. 00:00:45
    Agenda
  11. Урок 11. 00:05:10
    Why: Motivation
  12. Урок 12. 00:09:51
    Docker
  13. Урок 13. 00:09:38
    Kubernetes
  14. Урок 14. 00:09:54
    Costs & CI/CD
  15. Урок 15. 00:02:45
    Practice
  16. Урок 16. 00:49:59
    Practice implementation example
  17. Урок 17. 00:00:44
    Takeaways
  18. Урок 18. 00:00:46
    Agenda
  19. Урок 19. 00:02:35
    Why: Motivation
  20. Урок 20. 00:11:19
    Storage
  21. Урок 21. 00:03:04
    RAG
  22. Урок 22. 00:06:23
    Formats
  23. Урок 23. 00:02:26
    Practice
  24. Урок 24. 00:48:13
    Practice implementation example
  25. Урок 25. 00:00:35
    Takeaways
  26. Урок 26. 00:00:37
    Agenda
  27. Урок 27. 00:01:15
    Why: Motivation
  28. Урок 28. 00:13:30
    Labeling
  29. Урок 29. 00:05:08
    Versioning / Validation
  30. Урок 30. 00:03:15
    Practice
  31. Урок 31. 00:25:31
    Practice implementation example
  32. Урок 32. 00:00:43
    Takeaways
  33. Урок 33. 00:00:38
    Agenda
  34. Урок 34. 00:02:30
    Why: Motivation
  35. Урок 35. 00:09:48
    Project structure
  36. Урок 36. 00:06:48
    Experiment management
  37. Урок 37. 00:10:29
    Experiment running
  38. Урок 38. 00:02:31
    Practice
  39. Урок 39. 00:28:52
    Practice implementation example
  40. Урок 40. 00:00:38
    Takeaways
  41. Урок 41. 00:00:46
    Agenda
  42. Урок 42. 00:01:37
    Why: Motivation
  43. Урок 43. 00:18:12
    Testing
  44. Урок 44. 00:02:26
    CI/CD
  45. Урок 45. 00:02:09
    Practice
  46. Урок 46. 00:21:20
    Practice implementation example
  47. Урок 47. 00:00:38
    Takeaways
  48. Урок 48. 00:01:01
    Agenda
  49. Урок 49. 00:04:49
    Why: Motivation
  50. Урок 50. 00:08:25
    Orchestration idea
  51. Урок 51. 00:06:01
    Kubeflow
  52. Урок 52. 00:07:10
    AirFlow
  53. Урок 53. 00:02:31
    Practice
  54. Урок 54. 00:48:46
    Practice implementation example
  55. Урок 55. 00:01:05
    Takeaways
  56. Урок 56. 00:01:29
    Agenda
  57. Урок 57. 00:03:03
    Why: Motivation
  58. Урок 58. 00:04:16
    ML project journey
  59. Урок 59. 00:07:25
    Dagster
  60. Урок 60. 00:02:36
    Practice
  61. Урок 61. 00:20:54
    Practice implementation example
  62. Урок 62. 00:01:09
    Takeaways
  63. Урок 63. 00:00:30
    Check in
  64. Урок 64. 00:00:48
    Agenda
  65. Урок 65. 00:04:31
    Why: Motivation
  66. Урок 66. 00:05:48
    Pre-serving
  67. Урок 67. 00:05:45
    Custom web server
  68. Урок 68. 00:09:11
    Inference server
  69. Урок 69. 00:02:06
    Practice
  70. Урок 70. 00:36:05
    Practice implementation example
  71. Урок 71. 00:00:56
    Takeaways
  72. Урок 72. 00:00:56
    Agenda
  73. Урок 73. 00:02:45
    Why: Motivation
  74. Урок 74. 00:08:23
    Serving platforms
  75. Урок 75. 00:08:01
    Serving patterns
  76. Урок 76. 00:05:13
    Serving LLMs
  77. Урок 77. 00:02:14
    Practice
  78. Урок 78. 00:49:17
    Practice implementation example
  79. Урок 79. 00:00:43
    Takeaways
  80. Урок 80. 00:00:41
    Agenda
  81. Урок 81. 00:01:46
    Why: Motivation
  82. Урок 82. 00:07:56
    Deployment
  83. Урок 83. 00:17:19
    Advanced features
  84. Урок 84. 00:08:22
    Benchmarking
  85. Урок 85. 00:02:22
    Practice
  86. Урок 86. 00:00:39
    Takeaways
  87. Урок 87. 00:02:43
    Agenda
  88. Урок 88. 00:02:58
    Why: Motivation
  89. Урок 89. 00:20:51
    Scaling infra
  90. Урок 90. 00:16:46
    Scaling model
  91. Урок 91. 00:02:21
    Practice
  92. Урок 92. 00:00:47
    Takeaways
  93. Урок 93. 00:01:12
    Agenda
  94. Урок 94. 00:05:09
    Why: Motivation
  95. Урок 95. 00:08:55
    Not-ML systems
  96. Урок 96. 00:09:49
    ML systems
  97. Урок 97. 00:04:55
    Drift cases
  98. Урок 98. 00:03:39
    Practice
  99. Урок 99. 00:00:39
    Takeaways
  100. Урок 100. 00:01:11
    Agenda
  101. Урок 101. 00:02:30
    Why: Motivation
  102. Урок 102. 00:07:35
    ML monitoring tools
  103. Урок 103. 00:06:43
    LLMs & Data Moat
  104. Урок 104. 00:02:39
    ML for monitoring
  105. Урок 105. 00:02:43
    Practice
  106. Урок 106. 00:00:40
    Takeaways
  107. Урок 107. 00:00:56
    Agenda
  108. Урок 108. 00:01:01
    Why: Motivation
  109. Урок 109. 00:08:09
    Platforms for ML
  110. Урок 110. 00:12:01
    AWS SageMaker
  111. Урок 111. 00:08:44
    GCP Vertex AI
  112. Урок 112. 00:02:24
    Practice
  113. Урок 113. 00:01:08
    Takeaways
  114. Урок 114. 00:00:45
    Agenda
  115. Урок 115. 00:02:32
    Why: Motivation
  116. Урок 116. 00:03:13
    Up-to-date
  117. Урок 117. 00:04:55
    Summary
  118. Урок 118. 00:01:10
    Practice
  119. Урок 119. 00:00:35
    Takeaways
  120. Урок 120. 00:00:44
    Congrats! Here's what's next...