Chapters (82)
- 0:00Introduction
- 9:19Exam Guide Breakdown
- 13:58Layers of Machine Learning
- 15:06Key Elements of AI
- 16:04DataSets
- 17:44Labeling
- 18:50Supervised and Unsupervised Reinforcement
- 20:16Neural Networks and Deep Learning
- 22:32GPU
- 23:28CUDA
- 24:36Simple ML Pipeline
- 26:46Forecast vs Prediction
- 27:31Metrics
- 29:05Juypter Notebooks
- 30:20Regression
- 31:57Classification
- 32:51Clustering
- 33:36Confusion Matrix
- 35:13Anomaly Detection AI
- 36:06Computer Vision AI
- 38:12Natural Language Processing AI
- 39:49Conversational AI
- 41:23Responsible AI
- 42:16Fairness
- 43:15Reliability and safety
- 44:07Privacy and security
- 44:52Inclusiveness
- 45:31Transparency
- 46:07Accountability
- 46:52Guidelines for Human AI Interaction
- 47:11Follow Along Guidelines for Human AI Interaction
- 58:40Azure Cognitive Services
- 1:00:48Cognitive API Key and Endpoint
- 1:01:15Knowledge Mining
- 1:05:49Face Service
- 1:07:37Speech and Translate Service
- 1:09:11Text Analytics
- 1:12:09OCR Computer Vision
- 1:13:29Form Recognizer
- 1:15:55Form Recognizer Custom Models
- 1:16:41Form Recognizer Prebuilt Models
- 1:18:40LUIS
- 1:21:05QnA Maker
- 1:25:26Azure Bot Service
- 1:27:52Azure Machine Learning Service
- 1:29:17Studio Overview
- 1:30:46Studio Compute
- 1:31:55Studio Data Labeling
- 1:32:52Data Stores
- 1:33:41Datasets
- 1:34:51Experiments
- 1:35:23Pipelines
- 1:36:30ML Designer
- 1:37:14Model Registry
- 1:37:41Endpoints
- 1:38:57Notebooks
- 1:39:48Introduction to AutoML
- 1:42:22Data Guard Rails
- 1:43:08Automatic Featurization
- 1:45:00Model Selection
- 1:46:04Explanation
- 1:46:58Primary Metrics
- 1:48:50Validation Type
- 1:49:21Introduction to Custom Vision
- 1:50:05Project Types and Domains
- 1:53:01Custom Vision Features
- 1:55:39Setup
- 2:06:37Computer Vision
- 2:10:19Custom Vision Classification
- 2:16:57Custom Vision Object Detection
- 2:22:53Face Service
- 2:26:05Form Recognizer
- 2:29:36OCR
- 2:34:29Text Analysis
- 2:38:12QnAMaker
- 2:56:46LUIS
- 3:02:31AutoML
- 3:19:48Designer
- 3:30:06MNIST
- 3:49:45Data Labeling
- 3:54:13Clean up
- 3:55:28AI CheatSheet
Show the creator's full description
⚠️ Watch the updated version of this course: https://youtu.be/hHjmr_YOqnU
Prepare for the Azure AI Fundamentals Certification (AI-900) and pass!
✏️ Course developed by Andrew Brown of ExamPro. Check out the ExamPro YouTube channel: https://www.youtube.com/ExamProChannel
🔗 ExamPro Cloud Obsessed Certification Training: https://www.exampro.co
⭐️ Course Contents ⭐️
☁️ Introduction
🎤 (00:00:00) Introduction
🎤 (00:09:19) Exam Guide Breakdown
☁️ ML Introduction
🎤 (00:13:58) Layers of Machine Learning
🎤 (00:15:06) Key Elements of AI
🎤 (00:16:04) DataSets
🎤 (00:17:44) Labeling
🎤 (00:18:50) Supervised and Unsupervised Reinforcement
🎤 (00:20:16) Neural Networks and Deep Learning
🎤 (00:22:32) GPU
🎤 (00:23:28) CUDA
🎤 (00:24:36) Simple ML Pipeline
🎤 (00:26:46) Forecast vs Prediction
🎤 (00:27:31) Metrics
🎤 (00:29:05) Juypter Notebooks
🎤 (00:30:20) Regression
🎤 (00:31:57) Classification
🎤 (00:32:51) Clustering
🎤 (00:33:36) Confusion Matrix
☁️ Common AI Workloads
🎤 (00:35:13) Anomaly Detection AI
🎤 (00:36:06) Computer Vision AI
🎤 (00:38:12) Natural Language Processing AI
🎤 (00:39:49) Conversational AI
☁️ Responsible AI
🎤 (00:41:23) Responsible AI
🎤 (00:42:16) Fairness
🎤 (00:43:15) Reliability and safety
🎤 (00:44:07) Privacy and security
🎤 (00:44:52) Inclusiveness
🎤 (00:45:31) Transparency
🎤 (00:46:07) Accountability
🎤 (00:46:52) Guidelines for Human AI Interaction
🎤 (00:47:11) Follow Along Guidelines for Human AI Interaction
☁️ Cognitive Services
🎤 (00:58:40) Azure Cognitive Services
🎤 (01:00:48) Cognitive API Key and Endpoint
🎤 (01:01:15) Knowledge Mining
🎤 (01:05:49) Face Service
🎤 (01:07:37) Speech and Translate Service
🎤 (01:09:11) Text Analytics
🎤 (01:12:09) OCR Computer Vision
🎤 (01:13:29) Form Recognizer
🎤 (01:15:55) Form Recognizer Custom Models
🎤 (01:16:41) Form Recognizer Prebuilt Models
🎤 (01:18:40) LUIS
🎤 (01:21:05) QnA Maker
🎤 (01:25:26) Azure Bot Service
☁️ ML Studio
🎤 (01:27:52) Azure Machine Learning Service
🎤 (01:29:17) Studio Overview
🎤 (01:30:46) Studio Compute
🎤 (01:31:55) Studio Data Labeling
🎤 (01:32:52) Data Stores
🎤 (01:33:41) Datasets
🎤 (01:34:51) Experiments
🎤 (01:35:23) Pipelines
🎤 (01:36:30) ML Designer
🎤 (01:37:14) Model Registry
🎤 (01:37:41) Endpoints
🎤 (01:38:57) Notebooks
☁️ AutoML
🎤 (01:39:48) Introduction to AutoML
🎤 (01:42:22) Data Guard Rails
🎤 (01:43:08) Automatic Featurization
🎤 (01:45:00) Model Selection
🎤 (01:46:04) Explanation
🎤 (01:46:58) Primary Metrics
🎤 (01:48:50) Validation Type
☁️ Custom Vision
🎤 (01:49:21) Introduction to Custom Vision
🎤 (01:50:05) Project Types and Domains
🎤 (01:53:01) Custom Vision Features
☁️ Follow Alongs
🎤 (01:55:39) Setup
🎤 (02:06:37) Computer Vision
🎤 (02:10:19) Custom Vision Classification
🎤 (02:16:57) Custom Vision Object Detection
🎤 (02:22:53) Face Service
🎤 (02:26:05) Form Recognizer
🎤 (02:29:36) OCR
🎤 (02:34:29) Text Analysis
🎤 (02:38:12) QnAMaker
🎤 (02:56:46) LUIS
🎤 (03:02:31) AutoML
🎤 (03:19:48) Designer
🎤 (03:30:06) MNIST
🎤 (03:49:45) Data Labeling
🎤 (03:54:13) Clean up
☁️ CheatSheet
🎤 (03:55:28) AI CheatSheet
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