AI-900: Microsoft Azure AI Fundamentals Video Course + Ques
Video description
Prepare for AI-900 Exam: Microsoft Azure AI Fundamentals and become a certified expert to give your career a new direction
About This Video
Cover 100% of the syllabus as updated in April 2021
Prepare for AI-900 Microsoft Azure AI Fundamentals certification exam
Solve sample questions to track your learning progress
In Detail
Prepare for the AI-900 Certification Exam by covering the complete exam syllabus as updated in …
AI-900: Microsoft Azure AI Fundamentals Video Course + Ques
Video description
Prepare for AI-900 Exam: Microsoft Azure AI Fundamentals and become a certified expert to give your career a new direction
About This Video
Cover 100% of the syllabus as updated in April 2021
Prepare for AI-900 Microsoft Azure AI Fundamentals certification exam
Solve sample questions to track your learning progress
In Detail
Prepare for the AI-900 Certification Exam by covering the complete exam syllabus as updated in April 2021 with sample questions with this course.
We will be covering the following 5 domains in the course:
Domain 1: We will cover the identification of features in common AI workloads and guiding principles for responsible AI.
Domain 2: We will cover the identification of common machine learning variants, description of core machine learning concepts, identification of core risks in the creation of a machine learning solution, and description of capabilities of no-code machine learning with Azure machine learning.
Domain 3: We will cover the identification of common types of computer vision solutions and the identification of Azure tools and services for computer vision tasks.
Domain 4: We will cover the identification of features in common NLP workload scenarios and learn how to identify Azure tools and services for NLP workloads.
Domain 5: We will cover the identification of common use cases for conversational AI and will be identifying Azure services for conversational AI.
By the end of this course, you will be ready to appear for your AI-900 exam.
Audience
This course is designed for those who are willing to give AI-900 Exam: Microsoft Azure AI Fundamentals and are interested in learning the basics of artificial intelligence or machine learning.
No prerequisite is required for this course. Candidates with both technical and non-technical backgrounds can benefit from this course.
Chapter 2 : Azure Portal Introduction: For Beginners
Create Azure Free Subscription
Azure Portal Overview
Azure Sandbox - How to Use Azure Portal Absolutely Free
Chapter 3 : AI Workloads and Considerations (15-20%)
Learning Objectives
What is Artificial Intelligence
Prediction and Forecasting
Anomaly Detection Workloads
Computer Vision Workloads
Natural Language Processing
Knowledge Mining Workloads
Conversational AI Workloads
Introduction to Guiding Principles of Responsible AI
Guiding Principle - Fairness
Guiding Principle - Reliability and Safety
Guiding Principle - Privacy and Security
Guiding Principle - Inclusiveness
Guiding Principle - Transparency
Guiding Principle - Accountability
Chapter 4 : Fundamental Principles of Machine Learning on Azure (30- 35%)
Learning Objectives
Introduction to Machine Learning
Rule-Based Versus Machine Learning Based Learning
Classification Versus Regression Versus Clustering Machine Learning Types
Feature Selection and Feature Engineering
Training Versus Validating Dataset
Machine Learning Algorithms
Demo Part 1.1 ML Workspace
Demo Part 1.2 Regression Model
Demo Part 1.3 Delete Resources
Demo 2.1 Classification Model
Demo 3.1 Automated Machine Learning
Demo: Delete Compute
Chapter 5 : Describe Features of Computer Vision Workloads on Azure (15-20%)
Learning Objectives
Image Classification Versus Object Detection Versus Semantic Segmentation
Optical Character Recognition (OCR)
Face Detection Recognition and Analysis
What are Cognitive Services
What are Computer Vision Services
Demo: Computer Vision
Custom Vision Service
Demo: Custom Vision Service
Face Service
Form Recognizer Service
Chapter 6 : Natural Language Processing (NLP) Workloads on Azure (15-20%)
Learning Objectives
What is Natural Language Processing
Key Phrase Extraction Versus Entity Recognition Versus Sentiment Analysis
Language Modelling
Speech Recognition and Speech Synthesis
Translation
Introduction to Azure Tools and Services for NLP
Text Analytics Service
Speech Service
Translator Service
Language Understanding Service (LUIS)
Chapter 7 : Conversational AI Workloads on Azure (15-20%)
Learning Objectives
Conversational AI Use Cases
QnA Maker and Bot Framework
Demo QnA Maker and Bot Framework
Chapter 8 : Practice Tests
AI-900 Exam Tips
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