Azure AI Fundamentals
This course will introduce you to the essentials of cloud-scale AI and machine learning services in Azure. You will learn foundational knowledge about the AI environment in the Azure cloud, including how to access cloud services and master AI authoring tools.
Prepares for certification: AI-900: Azure AI Fundamentals
Details
This training prepares you for the AI-900: Microsoft Azure AI Fundamentals certification, which validates your foundational knowledge of artificial intelligence concepts and related Microsoft Azure AI services at an entry level. The program follows the official Microsoft curriculum and covers core technical domains measured on the exam: Artificial Intelligence, Azure Machine Learning, Azure Computer Vision, Azure Natural Language Processing, and Azure Generative AI.
You will learn how to describe artificial intelligence concepts including machine learning, deep learning, and neural networks; identify Azure AI services for computer vision such as Azure AI Vision and Azure AI Custom Vision; explore language services including Azure AI Language for text analysis and Azure AI Translator; and understand speech services like Azure AI Speech for recognition and synthesis. The training also addresses generative AI fundamentals, Azure OpenAI Service capabilities, and responsible AI principles including fairness, reliability, safety, privacy, and inclusiveness.
By completing this program, you will develop the foundational skills required to pursue role-based Azure certifications such as Azure AI Engineer Associate or Azure Data Scientist Associate. The certification demonstrates that you understand core AI and machine learning concepts and Azure AI services, and can make informed decisions about AI implementations based on requirements, ethics, and business value.
Modules
The AI-900 Certification
The AI-900: Microsoft Azure AI Fundamentals certification is an entry-level, non-expiring credential that validates your foundational knowledge of machine learning, AI concepts, and related Microsoft Azure services, serving as a stepping stone toward advanced Azure AI roles
Skills Covered In This Course
Lesson Preview
In this lesson I demonstrate a python notebook that uses Azure Cognitive Services to detect, analyze and recognize faces in uploaded images.
The lesson covers how to call the Azure Cognitive Services from python code, and use the Azure Face Service to detect, analyze and recognize faces.
Business Case
In 2021, I delivered an online machine learning training for Techionista Academy. The bespoke training included content from the Microsoft AI Fundamentals, AI Engineer Associate and AI Data Scientist Associate courses.
I taught my students the basics of regression, classification and clustering, and took them on a "zero-to-hero" journey from absolute beginner to AI fluency.
In the photo, you can see Microsoft Teams running in the background while my students are building a bike demand prediction model with the Azure Machine Learning Studio pipeline designer and the well-known Washington DC Bike Demand dataset.
