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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