⚠️ 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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