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

Introduction.
Exam Guide Breakdown.
Layers of Machine Learning.
Key Elements of AI.
DataSets.
Labeling.
Supervised and Unsupervised Reinforcement.
Neural Networks and Deep Learning.
GPU.
CUDA.
Simple ML Pipeline.
Forecast vs Prediction.
Metrics.
Juypter Notebooks.
Regression.
Classification.
Clustering.
Confusion Matrix.
Anomaly Detection AI.
Computer Vision AI.
Natural Language Processing AI.
Conversational AI.
Responsible AI.
Fairness.
Reliability and safety.
Privacy and security.
Inclusiveness.
Transparency.
Accountability.
Guidelines for Human AI Interaction.
Follow Along Guidelines for Human AI Interaction.
Azure Cognitive Services.
Cognitive API Key and Endpoint.
Knowledge Mining.
Face Service.
Speech and Translate Service.
Text Analytics.
OCR Computer Vision.
Form Recognizer.
Form Recognizer Custom Models.
Form Recognizer Prebuilt Models.
LUIS.
QnA Maker.
Azure Bot Service.
Azure Machine Learning Service.
Studio Overview.
Studio Compute.
Studio Data Labeling.
Data Stores.
Datasets.
Experiments.
Pipelines.
ML Designer.
Model Registry.
Endpoints.
Notebooks.
Introduction to AutoML.
Data Guard Rails.
Automatic Featurization.
Model Selection.
Explanation.
Primary Metrics.
Validation Type.
Introduction to Custom Vision.
Project Types and Domains.
Custom Vision Features.
Setup.
Computer Vision.
Custom Vision Classification.
Custom Vision Object Detection.
Face Service.
Form Recognizer.
OCR.
Text Analysis.
QnAMaker.
LUIS.
AutoML.
Designer.
MNIST.
Data Labeling.
Clean up.
AI CheatSheet.