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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