Azure AI Fundamentals Certification 2024 AI900 Full Course to PASS the Exam











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Prepare for the Azure AI Fundamentals Certification (AI-900) and pass! This course has been updated for 2024. • ✏️ Course developed by Andrew Brown of ExamPro. β€ͺ@ExamProChannel‬ • πŸ”— ExamPro Cloud Obsessed Certification Training: https://www.exampro.co • ⭐️ Contents ⭐️ • ☁️ Introduction • 🎀 (00:00:00) Introduction to AI-900 • 🎀 (00:08:18) Exam Guide Breakdown • ☁️ ML Introduction • 🎀 (00:12:51) Layers of Machine Learning • 🎀 (00:13:59) Key Elements of AI • 🎀 (00:14:57) DataSets • 🎀 (00:16:37) Labeling • 🎀 (00:17:43) Supervised and Unsupervised Reinforcement • 🎀 (00:19:09) Netural Networks and Deep Learning • 🎀 (00:21:25) GPU • 🎀 (00:22:21) CUDA • 🎀 (00:23:29) Simple ML Pipeline • 🎀 (00:25:39) Forecast vs Prediction • 🎀 (00:26:24) Metrics • 🎀 (00:27:58) Juypter Notebooks • 🎀 (00:29:13) Regression • 🎀 (00:30:50) Classification • 🎀 (00:31:44) Clustering • 🎀 (00:32:29) Confusion Matrix • ☁️ Common AI Workloads • 🎀 (00:34:06) Anomaly Detection AI • 🎀 (00:34:59) Computer Vision AI • 🎀 (00:37:05) Natural Language Processing AI • 🎀 (00:38:42) Conversational AI • ☁️ Responsible AI • 🎀 (00:40:16) Responsible AI • 🎀 (00:41:09) Fairness • 🎀 (00:42:08) Reliability and safety • 🎀 (00:43:00) Privacy and security • 🎀 (00:43:45) Inclusiveness • 🎀 (00:44:24) Transparency • 🎀 (00:45:00) Accountability • 🎀 (00:45:45) Guidelines for Human AI Interaction • 🎀 (00:46:04) Follow Along Guidelines for Human AI Interaction • ☁️ Congitive Services • 🎀 (00:57:33) Azure Cognitive Services • 🎀 (00:59:41) Congitive API Key and Endpoint • 🎀 (01:00:08) Knowledge Mining • 🎀 (01:04:42) Face Service • 🎀 (01:06:30) Speech and Translate Service • 🎀 (01:08:04) Text Analytics • 🎀 (01:11:02) OCR Computer Vision • 🎀 (01:12:22) Form Recognizer • 🎀 (01:14:48) Form Recognizer Custom Models • 🎀 (01:15:34) Form Recognizer Prebuilt Models • 🎀 (01:17:33) LUIS • 🎀 (01:19:58) QnA Maker • 🎀 (01:24:19) Azure Bot Service • ☁️ ML Studio • 🎀 (01:26:45) Azure Machine Learning Service • 🎀 (01:28:10) Studio Overview • 🎀 (01:29:39) Studio Compute • 🎀 (01:30:48) Studio Data Labeling • 🎀 (01:31:45) Data Stores • 🎀 (01:32:34) Datasets • 🎀 (01:33:44) Experiments • 🎀 (01:34:16) Pipelines • 🎀 (01:35:23) ML Designer • 🎀 (01:36:07) Model Registry • 🎀 (01:36:34) Endpoints • 🎀 (01:37:50) Notebooks • ☁️ AutoML • 🎀 (01:38:41) Introduction to AutoML • 🎀 (01:41:15) Data Guard Rails • 🎀 (01:42:01) Automatic Featurization • 🎀 (01:43:53) Model Selection • 🎀 (01:44:57) Explanation • 🎀 (01:45:51) Primary Metrics • 🎀 (01:47:43) Validation Type • ☁️ Custom Vision • 🎀 (01:48:14) Introduction to Custom Vision • 🎀 (01:48:58) Project Types and Domains • 🎀 (01:51:54) Custom Vision Features • ☁️ Features of generative AI solutions • 🎀 (01:54:32) AI vs Generative AI • 🎀 (01:57:17) What is a LLM Large Language Model • 🎀 (01:58:58) Transformer models • 🎀 (02:00:14) Tokenization • 🎀 (02:01:26) Embeddings • 🎀 (02:02:46) Positional encoding • 🎀 (02:04:27) Attention • ☁️ Capabilities of Azure OpenAI Service • 🎀 (02:08:01) Introduction to Azure OpenAI Service • 🎀 (02:10:29) Azure OpenAI Studio • 🎀 (02:11:44) Azure OpenAI service pricing • 🎀 (02:13:14) What are Copilots • 🎀 (02:15:43) Prompt engineering • 🎀 (02:18:51) Grounding • 🎀 (02:20:36) Copilot demo • ☁️ Follow Alongs • 🎀 (02:24:04) Setup • 🎀 (02:35:02) Computer Vision • 🎀 (02:38:44) Custom Vision Classification • 🎀 (02:45:22) Custom Vision Object Detection • 🎀 (02:51:18) Face Service • 🎀 (02:54:30) Form Recognizer • 🎀 (02:58:01) OCR • 🎀 (03:02:54) Text Analysis • 🎀 (03:06:37) QnAMaker • 🎀 (03:25:11) LUIS • 🎀 (03:30:56) AutoML • 🎀 (03:48:13) Designer • 🎀 (03:58:31) MNIST • 🎀 (04:18:10) Data Labeling • 🎀 (04:22:38) Clean up • ❀️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

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