AI-900: Microsoft Azure AI Fundamentals Video Course
AI-900 Exam: Microsoft Azure AI Fundamentals || 8+ hours of videos || 100% Syllabus || 2 Practice Tests || PPTs || Demos
IT & Software,IT Certification,Microsoft AI
Lectures -64
Resources -11
Duration -8.5 hours
30-days Money-Back Guarantee
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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.
The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. Therefore, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. In addition, there is no requirement for software engineering or data science experience for the AI-900 certification exam.
The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.
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What includes in this course?
8+ hrs. of content, Practice test, quizzes, etc.
PPT, Demo resources, and other study material
Full lifetime access
Certificate of course completion
30-days Money-Back Guarantee
This course has more than enough practice questions to get you to prepare for the exam.
Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.
The AI-900 exam covers the following topics:
Describe AI workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (30-35%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Describe features of conversational AI workloads on Azure (15-20%)
Who this course is for:
- Those who are looking to give AI-900 Exam: Microsoft Azure AI Fundamentals
- Those who are interested in learning basics of Artificial Intelligence or Machine Learning
Goals
What will you learn in this course:
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
Prerequisites
What are the prerequisites for this course?
No prerequisite for this course
Candidates with both technical and non-technical backgrounds can attend this course
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction 07:10 07:10
Azure Portal Introduction: For Begineers
3 Lectures
AI workloads and considerations (15-20%)
16 Lectures
Fundamental principles of Machine Learning on Azure (30- 35%)
14 Lectures
Describe features of computer vision workloads on Azure (15-20%)
12 Lectures
Natural Language Processing (NLP) workloads on Azure (15-20%)
12 Lectures
Conversational AI workloads on Azure (15-20%)
5 Lectures
Practice Tests
1 Lectures
Instructor Details
Eshant Garg
Instructor | LearnCloud.Info | AWS | AzureI love to explain complicated things in a simple and effective way.
I have 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure & AWS).
As a developer and architect, I have worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies.
Outside of the technical world, I love yoga and meditation. I am a student of the ancient yogic text Bhagavad Gita and love to discuss and practice philosophical teachings.
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