Azure AI Fundamentals AI-900 Training

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Crafted with meticulous attention to detail by a seasoned industry professional with over 5 years of Azure expertise, the course “Mastering Azure” provides learners with a comprehensive curriculum to acquire comprehensive knowledge and proficiency in this domain.. The Azure AI-900 training focuses on helping you prepare for the AI 900 exam. In this course, you will master concepts of Microsoft Azure AI Fundamentals and learn in-depth about Artificial Intelligence workloads and considerations, and fundamental principles of machine learning on Azure. Course modules also include features of computer vision and Natural Language Processing (NLP) workloads on Azure. The training ends with the conversational AI workloads on Azure module.

Duration : 18 hour 35 minutes

In This Module We Will Learn :

ARTIFICIAL INTELLIGENCE

  • Introduction to AI 
  • Understand Machine Learning 
  • Understand anomaly detection
  • Understand computer vision 
  • Understand natural language processing 
  • Understand Conversational AI 
  • Challenges and risks with AI 
  • Understand responsible AI 

USE AUTOMATED MACHINE LEARNING IN AZURE

  • Introduction 
  • What is machine learning? 
  • Create an Azure Machine Learning workspace
  • Create compute resources 
  • Explore data 
  • Train a machine learning model 
  • Deploy a model as a service 

CREATE A REGRESSION MODEL WITH AZURE ML DESIGNGER 

  • Introduction 
  • Create an Azure Machine Learning Workspace 
  • Create compute resources 
  • Explore Data 
  • Create and run a training pipeline
  • Evaluate a regression model 
  • Create an inference pipeline 
  • Deploy a predictive service 

CREATE A CLASSIFICATION MODEL WITH AZURE ML DESIGNER

  • Introduction
  • Create an Azure Machine Learning workspace  
  • Create compute resources 
  • Explore Data 
  • Create and run a training pipeline 
  • Evaluate a classification model
  • Create an inference pipeline 
  • Deploy a predictive service 

CREATE A CLUSTERING MODEL WITH AZURE ML DESIGNER

  • Introduction 
  • Create an Azure Machine Learning workspace
  • Create compute resources 
  • Explore Data 
  • Create and run a training pipeline 
  • Create an inference pipeline 
  • Deploy a predictive service
  • Evaluate a clustering model 

EXPLORE COMPUTER VISION

  • Analyze image with the computer vision service 
  • Classify image with the custom vision service 
  • Detect objects in an image with the custom vision service
  • Detect and analyze faces with the Face services 
  • Read text with the Computer Vision service 
  • Analyze receipts with the Form Recognizer service 

Course Content

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