Pearson - Exam AI-900 Microsoft Azure AI Fundamentals
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001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4
04:02
001. Learning objectives.mp4
00:22
002. 1.1 Identify features of anomaly detection workloads.mp4
03:27
003. 1.2 Identify computer vision workloads.mp4
01:27
004. 1.3 Identify natural language processing workloads.mp4
02:06
005. 1.4 Identify knowledge mining workloads.mp4
12:31
001. Learning objectives.mp4
00:39
002. 2.1 Describe considerations for fairness in an AI solution.mp4
01:54
003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4
00:51
004. 2.3 Describe considerations for privacy and security in an AI solution.mp4
01:04
005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4
00:43
006. 2.5 Describe considerations for transparency in an AI solution.mp4
01:41
007. 2.6 Describe considerations for accountability in an AI solution.mp4
04:17
001. Learning objectives.mp4
00:31
002. 3.1 Identify regression machine learning scenarios.mp4
05:27
003. 3.2 Identify classification machine learning scenarios.mp4
01:18
004. 3.3 Identify clustering machine learning scenarios.mp4
11:34
001. Learning objectives.mp4
00:28
002. 4.1 Identify features and labels in a dataset for machine learning.mp4
04:16
003. 4.2 Describe how training and validation datasets are used in machine learning.mp4
10:43
001. Learning objectives.mp4
00:32
002. 5.1 Automated machine learning.mp4
02:33
003. 5.2 Azure Machine Learning designer.mp4
19:47
001. Learning objectives.mp4
00:40
002. 6.1 Identify features of image classification solutions.mp4
06:17
003. 6.2 Identify features of object detection solutions.mp4
02:01
004. 6.3 Identify features of optical character recognition solutions.mp4
01:13
005. 6.4 Identify features of facial detection and facial analysis solutions.mp4
20:15
001. Learning objectives.mp4
00:40
002. 7.1 Identify capabilities of the Computer Vision service.mp4
00:42
003. 7.2 Identify capabilities of the Custom Vision service.mp4
02:01
004. 7.3 Identify capabilities of the Face service.mp4
01:05
005. 7.4 Identify capabilities of the Form Recognizer service.mp4
12:35
001. Learning objectives.mp4
00:41
002. 8.1 Identify features and uses for key phrase extraction.mp4
03:28
003. 8.2 Identify features and uses for entity recognition.mp4
01:24
004. 8.3 Identify features and uses for sentiment analysis.mp4
01:38
005. 8.4 Identify features and uses for language modeling.mp4
00:20
006. 8.5 Identify features and uses for speech recognition and synthesis.mp4
02:12
007. 8.6 Identify features and uses for translation.mp4
07:12
001. Learning objectives.mp4
00:34
002. 9.1 Identify capabilities of the Language service.mp4
02:10
003. 9.2 Identify capabilities of the Speech service.mp4
00:42
004. 9.3 Identify capabilities of the Translator service.mp4
08:28
001. Learning objectives.mp4
00:34
002. 10.1 Identify features and uses for bots.mp4
04:09
003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4
10:59
001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4
02:53
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- language english
- Training sessions 48
- duration 3:07:06
- English subtitles has
- Release Date 2023/09/26