AI-900T00 - Microsoft Azure AI Fundamentals

AI-900T00 course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform.

INR 15000 + tax

Date : 25 Jun 2024

Code: ai-900t00

Duration: 1.0 day

other dates


Virtual ILT | 25 Jun 2024 - 25 Jun 2024
Virtual ILT | 09 Jul 2024 - 09 Jul 2024
Virtual ILT | 17 Jul 2024 - 17 Jul 2024
Virtual ILT | 20 Aug 2024 - 20 Aug 2024
Virtual ILT | 29 Aug 2024 - 29 Aug 2024
Virtual ILT | 04 Sep 2024 - 04 Sep 2024
Virtual ILT | 11 Sep 2024 - 11 Sep 2024
Virtual ILT | 10 Oct 2024 - 10 Oct 2024
Virtual ILT | 17 Oct 2024 - 17 Oct 2024
Virtual ILT | 05 Nov 2024 - 05 Nov 2024
Virtual ILT | 12 Nov 2024 - 12 Nov 2024
Virtual ILT | 10 Dec 2024 - 10 Dec 2024
Virtual ILT | 17 Dec 2024 - 17 Dec 2024

Start learning today!

Click Hereto customize your Training


  • Describe core concepts of machine learning
  • Identify different types of machine learning
  • Describe considerations for training and evaluating machine learning models
  • Describe core concepts of deep learning
  • Use automated machine learning in Azure Machine Learning service
  • Understand applications Azure AI services can be used to build
  • Understand how to access Azure AI services in the Azure portal
  • Understand how to use Azure AI services keys and endpoint for authentication
  • Create and use an Azure AI services resource in a Content Safety Studio setting
  • Learn how to use the Azure AI Vision service to analyze images.
  • Learn how to use Azure AI Face service to detect and analyze faces in images.
  • Learn how to read text in images with Azure AI Vision.
  • Learn how to use Azure AI Language for text analysis
  • After completing this module, you'll be able to understand how to use Azure AI Language and Azure AI Bot Service to create a bot.
  • Learn what conversational language understanding is.
  • Learn about key features, such as intents and utterances.
  • Build and publish a natural-language machine-learning model.
  • Learn about speech recognition and synthesis
  • Learn how to use Azure AI Speech
  • Learn how to use the prebuilt receipt processing capabilities of Azure AI Document Intelligence.
  • Explore Azure AI Search
  • Create an Azure AI Search index
  • Import data to the index
  • Query the Azure AI Search index
  • Understand generative AI's place in the development of artificial intelligence
  • Understand large language models and their role in intelligent applications
  • Describe how Azure OpenAI supports intelligent application creation
  • Describe examples of copilots and good prompts
  • Describe Azure OpenAI workloads and access the Azure OpenAI Service
  • Understand generative AI models
  • Understand Azure OpenAI's language, code, and image capabilities
  • Understand Azure OpenAI's responsible AI practices and limited access policies
  • Describe an overall process for responsible generative AI solution development
  • Identify and prioritize potential harms relevant to a generative AI solution
  • Measure the presence of harms in a generative AI solution
  • Mitigate harms in a generative AI solution
  • Prepare to deploy and operate a generative AI solution responsibly


1. Fundamental AI Concepts

With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

Click here to know more

2. Fundamentals of machine learning

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

Click here to know more

3. Fundamentals of Azure AI services

In this module, you learn the fundamentals of how Azure AI services can be used to build applications.

Click here to know more

4. Fundamentals of Computer Vision

Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

Click here to know more

5. Fundamentals of Facial Recognition

Face detection, analysis, and recognition are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service in Azure makes it easy integrate these capabilities into your applications.

Click here to know more

6. Fundamentals of optical character recognition

Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.

Click here to know more

7. Fundamentals of Text Analysis with the Language Service

Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Click here to know more

8. Fundamentals of question answering with the Language Service

Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.

Click here to know more

9. Fundamentals of conversational language understanding

In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.

Click here to know more

10. Fundamentals of Azure AI Speech

Learn how to recognize and synthesize speech by using Azure AI Speech.

Click here to know more

11. Fundamentals of Azure AI Document Intelligence

Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.

Click here to know more

12. Fundamentals of Knowledge Mining and Azure AI Search

Use Azure AI Search to make your data searchable.

Click here to know more

13. Fundamentals of Generative AI

In this module you'll explore the way in which large language models (LLMs) enable AI applications and services to generate original content based on natural language input. You’ll also learn how generative AI enables the creation of AI-powered copilots that can assist humans in creative tasks.

Click here to know more

14. Fundamentals of Azure OpenAI Service

Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.

Click here to know more

15. Fundamentals of Responsible Generative AI

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Click here to know more


The Azure AI Fundamentals (AI-900T00) course is designed for anyone interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.


Please review the prerequisites listed for each module in the course content and click on the provided links for more information.



Skills Measured

  • Describe Artificial Intelligence workloads and considerations (15-20%)
  • Describe fundamental principles of machine learning on Azure (20-25%)
  • 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 generative AI workloads on Azure (15-20%)

Course Benefits

  • Career growth
  • Broad Career opportunities
  • Worldwide recognition from leaders
  • Up-to Date technical skills
  • Popular Certification Badges

Microsoft Popular Courses


The Managing Microsoft Teams course is designed for those aspiring to be Microsoft 365 Teams Administrators to deploy, configure and manage Office 365 workloads


This course is a high-level overview of Azure. The course will provide foundational level knowledge of cloud services and how those services are provided with M


This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions.


MB-335T00 is a course code that refers to a specific training program or course offered by Microsoft. Unfortunately, as of my knowledge cutoff in September 2021
Enquire Now
By clicking "Submit", I agree to the Terms Of Use and Privacy Policy