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Introduction
AI vs Generative AI
Training an LLM
Capabilities of Generative AI
Transformer model
Parts of a transformer AI
Positional encoding
Attention
Summary of the model
OpenAI and GPT
Microsoft Copilots
Prompt engineering
Copilot grounding
Copilot demo
Azure OpenAI services
Azure OpenAI pricing
Azure OpenAI Studio
Adding data and Azure AI Search
Responsible Generative AI
Summary and close
Introduction to AI-900
Key Elements of AI
Netural Networks and Deep Learning
Forecast vs Prediction
Classification
Computer Vision AI
Fairness
Transparency
Azure Cognitive Services
Speech and Translate Service
Form Recognizer Custom Models
Azure Bot Service
Studio Data Labeling
Experiments
Endpoints
Automatic Featurization
Validation Type
AI vs Generative AI
Embeddings
Azure OpenAI Studio
Grounding
Custom Vision Classification
OCR
AutoML
Clean up
自己紹介&当講座について
Microsoft Azureの概要、AI-900の勉強で最も大切なこと
AI(人工知能)の説明と、AIの主なワークロード
責任あるAIの6原則
OpenAI, 生成AI
Azure OpenAI Serviceの概要
AzureにおけるAIサービスの全体像
機械学習の概要
Azure Machine Learingの概要
Azure Cognitive Serviceにおける視覚サービス
Conputer Visionの概要
Custom Visonの概要
Azure Form Recognizer の概要
Azure Cognitive Serviceにおける音声、Languageサービス
言語サービスの概要
音声サービスの概要
Translatorサービスの概要
Azure Bot Serviceの概要
Anomaly Detectorの概要
さいごに
Introduction
Key Elements of AI
Supervised and Unsupervised Reinforcement
Simple ML Pipeline
Juypter Notebooks
Clustering
Natural Language Processing AI
Fairness
Transparency
Follow Along Guidelines for Human AI Interaction
Knowledge Mining
OCR Computer Vision
Form Recognizer Prebuilt Models
Azure Bot Service
Studio Data Labeling
Experiments
Endpoints
Data Guard Rails
Explanation
Project Types and Domains
Computer Vision
Face Service
QnAMaker
Designer
AI CheatSheet
The Azure Ai Fundamentals Certification
Azure Ai Fundamental Certification
Ai Fundamentals Certification
Price
Describe Fundamental Principles of Machine Learning on Azure
Free Microsoft Learn Content
Features of Semantic Segmentation Solutions
Conversational Ai Workloads
Other Resources
Azure Ai Fundamental Certification Course
Question One
Question Five Which Type of Ai Workload Is Used To Monitor Credit Card Transactions Select
Question N
What Does a Good Model Look like
Question 18 When Training a Model Why Should You Randomly Split the Rules into Separate Subsets
Question 22 Which Two Components Can You Drag onto a Canvas in Azure Machine Learning Designer
Question 28
Question 31 Hotspot
Question 35
Question 40 Ination Machine Learning Algorithm How Are Features and Labels Handled in a Validation Data Set
Natural Language Processing
Introduction to Natural Language Processing
Lesson One Introduction to Natural Language Processing
Semantic Language Modeling
Why Do We Need To Use Bots
Speech Recognition and Synthesis
Review and Confirm Your Shipping Address
Language Service Demo
Analyze Text Script
What Is Computer Vision
Intro
How to prepare for AI-900?
Complete the Sentence
Question 15
Which of the following service should you use to train object detection model by using own images?
Evaluate your ML.NET Model
What kind of resource should you create in your Azure subscription?
What information must you provide to developers who want to use Image Classification Model?
Digital Lab is in the business of digitalization of a library
What is Sentiment Analysis?
Covering the 40 most important questions of the ai 900 exam
Download the exam dump of ai 900 exam
Split the data in two rows for training
An example of anomaly detection
Match the principles of responsible ai to appropriate requirements
Define a linear regression method
Publish an inference pipeline
Identify the products of competitors