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