Azure AI Fundamentals Certification 2024 (AI-900) - Full Course to PASS the Exam


Curriculum for the course Azure AI Fundamentals Certification 2024 (AI-900) - Full Course to PASS the Exam

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. @ExamProChannel 🔗 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

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