Udemy - AI-900 - Microsoft Azure AI Fundamentals Video Course + Ques

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[ DevCourseWeb.com ] Udemy - AI-900 - Microsoft Azure AI Fundamentals Video Course + Ques
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 001 IMP NOTE PLEASE READ.html (1.1 KB)
    • 002 Course Introduction.mp4 (46.2 MB)
    • 002 Course Introduction_en.vtt (9.4 KB)
    • 003 Before you start.mp4 (3.9 MB)
    • 003 Before you start_en.vtt (1.8 KB)
    • 004 PPT and Demo Resources.html (0.7 KB)
    02 - Azure Portal Introduction For Begineers
    • 001 Create Azure Free Subscription.mp4 (31.7 MB)
    • 001 Create Azure Free Subscription_en.vtt (6.3 KB)
    • 002 Azure Portal Overview.mp4 (91.7 MB)
    • 002 Azure Portal Overview_en.vtt (15.8 KB)
    • 003 Azure Sandbox - How to use Azure Portal for absolutely free.mp4 (17.8 MB)
    • 003 Azure Sandbox - How to use Azure Portal for absolutely free_en.vtt (5.5 KB)
    • 004 How to get FREE credits for Azure Portal.html (4.0 KB)
    03 - AI workloads and considerations (15-20%)
    • 001 Learning objectives.mp4 (5.6 MB)
    • 001 Learning objectives_en.vtt (2.8 KB)
    • 002 What is Artificial Intelligence.mp4 (38.3 MB)
    • 002 What is Artificial Intelligence_en.vtt (5.8 KB)
    • 003 Prediction and Forecasting.mp4 (33.8 MB)
    • 003 Prediction and Forecasting_en.vtt (5.6 KB)
    • 004 Anomaly Detection workloads.mp4 (51.0 MB)
    • 004 Anomaly Detection workloads_en.vtt (9.0 KB)
    • 005 Computer Vision workloads.mp4 (46.3 MB)
    • 005 Computer Vision workloads_en.vtt (8.9 KB)
    • 006 Natural language processing.mp4 (61.1 MB)
    • 006 Natural language processing_en.vtt (10.0 KB)
    • 007 Knowledge mining workloads.mp4 (22.0 MB)
    • 007 Knowledge mining workloads_en.vtt (4.0 KB)
    • 008 Conversational AI workloads.mp4 (48.2 MB)
    • 008 Conversational AI workloads_en.vtt (8.1 KB)
    • 009 Introduction to Guiding Principles of responsible AI.mp4 (51.4 MB)
    • 009 Introduction to Guiding Principles of responsible AI_en.vtt (7.2 KB)
    • 010 Guiding Principle - Fairness.mp4 (33.2 MB)
    • 010 Guiding Principle - Fairness_en.vtt (5.2 KB)
    • 011 Guiding Principle - Reliability and Safety.mp4 (49.8 MB)
    • 011 Guiding Principle - Reliability and Safety_en.vtt (5.8 KB)
    • 012 Guiding Principle - Privacy and Security.mp4 (16.2 MB)
    • 012 Guiding Principle - Privacy and Security_en.vtt (2.9 KB)
    • 013 Guiding Principle - Inclusiveness.mp4 (25.6 MB)
    • 013 Guiding Principle - Inclusiveness_en.vtt (3.8 KB)
    • 014 Guiding Principle - Transparency.mp4 (20.7 MB)
    • 014 Guiding Principle - Transparency_en.vtt (4.3 KB)
    • 015 Guiding Principle - Accountability.mp4 (28.3 MB)
    • 015 Guiding Principle - Accountability_en.vtt (4.2 KB)
    • 016 Articles and Blogs Per Objective (Further study material).html (9.6 KB)
    • 017 PPT Notes for this section.html (0.2 KB)
    • 34121330-AI-900-AI-Workloads-and-Considerations.pdf (816.5 KB)
    04 - Fundamental principles of Machine Learning on Azure (30- 35%)
    • 001 Learning objectives.mp4 (6.6 MB)
    • 001 Learning objectives_en.vtt (3.2 KB)
    • 002 Introduction to Machine Learning.mp4 (27.1 MB)
    • 002 Introduction to Machine Learning_en.vtt (10.2 KB)
    • 003 Rule-based vs Machine Learning based Learning.mp4 (48.3 MB)
    • 003 Rule-based vs Machine Learning based Learning_en.vtt (8.3 KB)
    • 004 Classification vs Regression vs Clustering Machine Learning Types.mp4 (90.3 MB)
    • 004 Classification vs Regression vs Clustering Machine Learning Types_en.vtt (15.3 KB)
    • 005 Feature Selection and Feature Engineering.mp4 (55.4 MB)
    • 005 Feature Selection and Feature Engineering_en.vtt (11.5 KB)
    • 006 Training vs Validating Dataset.mp4 (64.6 MB)
    • 006 Training vs Validating Dataset_en.vtt (10.6 KB)
    • 007 Machine Learning Algorithms.mp4 (39.6 MB)
    • 007 Machine Learning Algorithms_en.vtt (7.2 KB)
    • 008 Demo Part1.1 ML Workspace.mp4 (30.9 MB)
    • 008 Demo Part1.1 ML Workspace_en.vtt (14.6 KB)
    • 009 Demo Part1.2 Regression Model.mp4 (338.7 MB)
    • 009 Demo Part1.2 Regression Model_en.vtt (59.0 KB)
    • 010 Demo Part1.3 Delete Resources.mp4 (5.2 MB)
    • 010 Demo Part1.3 Delete Resources_en.vtt (2.6 KB)
    • 011 Demo 2.1 Classification Model.mp4 (167.1 MB)
    • 011 Demo 2.1 Classification Model_en.vtt (37.0 KB)
    • 012 Demo 3.1 Automated Machine Learning.mp4 (71.0 MB)
    • 012 Demo 3.1 Automated Machine Learning_en.vtt (25.3 KB)
    • 013 Demo Delete Compute.mp4 (2.2 MB)
    • 013 Demo Delete Compute_en.vtt (1.0 KB)
    • 014 Articles and Blogs Per Objective (Further study material).html (24.6 KB)
    • 015 PPT Notes for this section.html (0.2 KB)
    • 33792432-ManualData.txt (0.6 KB)
    • 33792438-Python-ChangeExecuteCode.txt (0.3 KB)
    • 33792446-Python-TestService.txt (2.0 KB)
    • 33792468-ManualData.txt (0.3 KB)
    • 33792472-Python-ExecuteScript.txt (0.4 KB)
    • 33792482-Python-TestModel.txt (1.5 KB)
    • 33792492-Python-TestModel.txt (1.1 KB)
    • 33793138-Bike-Rentals-dataset.txt (0.0 KB)
    • 34121342-AI-900-Fundamental-Principles-of-ML.pdf (1.9 MB)
    05 - Describe features of computer vision workloads on Azure (15-20%)
    • 001 Learning objectives.mp4 (4.5 MB)
    • 001 Learning objectives_en.vtt (1.9 KB)
    • 002 Image Classification vs Object Detection vs Semantic Segmentation.mp4 (74.1 MB)
    • 002 Image Classification vs Object Detection vs Semantic Segmentation_en.vtt (19.2 KB)
    • 003 Optical Character Recognition OCR.mp4 (16.3 MB)
    • 003 Optical Character Recognition OCR_en.vtt (4.4 KB)
    • 004 Face Detection Recognition and Analysis.mp4 (57.5 MB)
    • 004 Face Detection Recognition and Analysis_en.vtt (9.4 KB)
    • 005 What is Cognitive Services.mp4 (32.5 MB)
    • 005 What is Cognitive Services_en.vtt (11.2 KB)
    • 006 What is Computer Vision Services.mp4 (121.7 MB)
    • 006 What is Computer Vision Services_en.vtt (16.1 KB)
    • 007 Demo Computer Vision.mp4 (70.1 MB)
    • 007 Demo Computer Vision_en.vtt (11.8 KB)

Description

AI-900: Microsoft Azure AI Fundamentals Video Course + Ques



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.84 GB | Duration: 9h 4m

AI-900 Exam: Microsoft Azure AI Fundamentals || 8+ hours of videos || 100% Syllabus || 2 Practice Tests || PPTs || s

What you'll learn
Foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
Common ML and AI workloads and how to implement them on Azure.
AI workloads and considerations: AI-900 Exam
Principles of machine learning on Azure: AI-900 Exam
Computer vision workloads on Azure: AI-900 Exam
Natural Language Processing (NLP) workloads on Azure: AI-900 Exam
Conversational AI workloads on Azure: AI-900 Exam
Requirements
No prerequisite for this course
Candidates with both technical and non-technical backgrounds can attend this course
Description
Should you take AI-900 Exam?

Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Therefore, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.



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Udemy - AI-900 - Microsoft Azure AI Fundamentals Video Course + Ques

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2.8 GB
seeders:8
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Udemy - AI-900 - Microsoft Azure AI Fundamentals Video Course + Ques

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