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Microsoft Certified: Azure AI Fundamentals

Duration

Course Code

1 day

AI-900T00

About the Course

This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material.


This certification is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:


  • Basic cloud concepts.

  • Client-server applications.


You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.


Target Audience and Benefits for this Audience


Business Leaders: Executives, managers, and decision-makers who want to understand the fundamentals of AI and its potential business applications. This certification can help them make informed decisions regarding AI strategy and adoption.


Solution Architects: Professionals involved in designing and implementing AI solutions on the Azure platform. The AI-900 certification provides them with a solid understanding of AI services and helps them identify the appropriate tools and technologies for specific use cases.


Data Scientists: Individuals working with data analysis, machine learning, and AI model development. The AI-900 certification can broaden their knowledge of AI concepts and enhance their ability to leverage Azure’s AI services in their data-driven projects.


Developers: Software developers and engineers interested in incorporating AI capabilities into their applications. This certification equips them with foundational knowledge to utilize Azure AI services effectively and develop intelligent applications.


Technology Enthusiasts: Individuals who are passionate about AI and want to expand their knowledge in this field. The AI-900 certification serves as an entry point to gain insights into AI technologies and their practical applications.


IT Professionals: IT professionals responsible for managing and maintaining AI infrastructure and services within their organizations. The AI-900 certification helps them understand the AI components of the Azure platform and how to integrate them into existing IT environments.


Skills measured


  • Describe Artificial Intelligence workloads and considerations.

  • Describe fundamental principles of machine learning on Azure.

  • Describe features of computer vision workloads on Azure.

  • Describe features of Natural Language Processing (NLP) workloads on Azure.

  • Describe features of generative AI workloads on Azure.


Course Outline


Introduction to AI concepts

  • Generative AI.

  • Computer vision.

  • Speech.

  • Natural language processing.

  • Extract data and insights.

  • Responsible AI.

  • Module assessment.


Introduction to Machine Learning Concepts

  • What is machine learning?

  • Types of machine learning.

  • Regression.

  • Binary classification.

  • Multiclass classification.

  • Clustering.

  • Deep learning.

  • Transformers.

  • Module assessment.


Design a Machine Learning Model Training Solution

  • Define the problem.

  • Get and prepare data.

  • Train the model.

  • Integrate a model.

  • Monitor the model.

  • Module assessment.


Introduction to Generative AI Concepts

  • What is generative AI?

  • How do language models work?

  • Understand how transformers advance language models.

  • Understand differences in language models.

  • Improve prompt results.

  • Create responsible generative AI solutions.

  • Module assessment.


Get Started with Generative AI on Azure

  • Understand generative AI applications.

  • Understand tools to develop generative AI.

  • Understand Azure AI Foundry's model catalog.

  • Understand Azure AI Foundry capabilities.

  • Understand observability.

  • Module assessment.


Introduction to natural language processing concepts

  • Understand how language is processed.

  • Understand statistical techniques for NLP.

  • Understand semantic language models.

  • Module assessment.


Get started with natural language processing on Azure

  • Understand natural language processing on Azure.

  • Understand Azure AI Language's text analysis capabilities.

  • Azure AI Language's conversational AI capabilities.

  • Azure AI Translator capabilities.

  • Get started in Azure AI Foundry.

  • Module assessment.


Get started with speech on Azure

  • Understand speech recognition and synthesis.

  • Get started with speech on Azure.

  • Use Azure AI Speech.

  • Module assessment.


Introduction to computer vision concepts

  • Overview.

  • Understand image processing.

  • Machine learning for computer vision.

  • Understand modern vision models.

  • Module assessment.


Get started with computer vision on Azure

  • Understand Azure AI services for computer vision.

  • Understand Azure AI Vision Image Analysis capabilities.

  • Understand Azure AI Vision's Face service capabilities.

  • Get started in Azure AI Foundry portal.

  • Module assessment.


Introduction to AI-powered information extraction concepts

  • Overview.

  • Understand the extraction of data from images.

  • Understand the extraction of data from forms.

  • Understand multimodal data extraction.

  • Understand data extraction for knowledge mining.

  • Module assessment.


Get started with AI-powered information extraction on Azure

  • Azure AI services for information extraction.

  • Extract information with Azure AI Vision.

  • Extract multimodal information with Azure AI Content Understanding.

  • Extract information from forms with Azure AI Document Intelligence.

  • Create a knowledge mining solution with Azure AI Search.

  • Module assessment.

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