AI-900: Azure AI Fundamentals + 2 Practice Tests (Mar 2024)
Learn all the Azure AI services and achieve your AI-900 certification with this comprehensive course in just 1 day!
What you will learn
Take the Azure AI-900 AI Fundamentals exam and pass it.
Learn the fundamentals of Machine Learning.
Common machine learning and artificial intelligence workloads and how to deploy them on Azure
Includes April 2022 changes! Up-to-date as of August 2022.
AI-900 Exam: Machine Learning Principles on Azure
AI-900 Exam: Workloads and concerns for AI
AI-900 Exam: Natural Language Processing (NLP) workloads on Azure
AI-900 Exam: Conversational AI workloads on Azure
Why take this course?
IN ONE DAY, LEARN AZURE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (ML) TECHNOLOGIES!
The course is completely up-to-date with new requirements.
A brand new course, just launched!
Complete preparation for the AI-900 Azure Data Fundamentals exam.
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%)
This brand new course covers the AI-900 exam from beginning to end. Always up to date on the most recent requirements. This course goes over each exam requirement in detail. If you have no prior experience with machine learning and want to learn more about AI / ML concepts and services within Azure, or if you have some experience with machine learning and want to eventually progress to an Azure Data Engineer or Data Analyst type role, this course is a great resource for you!
Azure is still the most rapidly expanding large cloud platform. There are still opportunities for cloud computing jobs available, and businesses' top challenge is finding qualified employees.
If you want to change career, this would be a good place to start in cloud computing on the machine learning side.