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Virtual Instructor-Led Training 1 days / 8 hours

Upcoming Schedules

Date Time Enroll
Aug 14 - Aug 14, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Sep 08 - Sep 08, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Oct 02 - Oct 02, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Oct 26 - Oct 26, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Nov 20 - Nov 20, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart
Dec 14 - Dec 14, 2026 9:00 AM - 5:00 PM America/New_York Add To Cart

Who should attend AI-901T00: Introduction to AI in Azure Course

This Course is for Aspiring Technology Professionals

This course is for aspiring technology professionals at the beginning of their career in AI solution development. Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.


Prerequisites for AI-901T00: Introduction to AI in Azure Course

There are no required prerequisites. Success in this course is supported by: Experience using computers and the internet Interest in AI workloads and applications A basic understanding of math (interpreting charts, simple probability) Familiarity with fundamental programming concepts (helpful but not required)

AI-901T00: Introduction to AI in Azure Course Outline

  • Generative AI and agents
  • Text and natural language
  • Speech
  • Computer vision
  • Information extraction
  • Responsible AI
  • Module assessment
  • Large language models (LLMs)
  • Prompts
  • AI agents
  • Module assessment
  • Tokenization
  • Statistical text analysis
  • Semantic language models
  • Module assessment
  • Speech-enabled solutions
  • Speech recognition
  • Speech synthesis
  • Module assessment
  • Computer vision tasks and techniques
  • Images and image processing
  • Convolutional neural networks
  • Vision transformers and multimodal models
  • Image generation
  • Module assessment
  • Overview of information extraction
  • Optical character recognition (OCR)
  • Field extraction and mapping
  • Module assessment
  • Understand Azure
  • Developing AI apps on Azure
  • Microsoft Foundry for AI
  • Using Microsoft Foundry endpoints
  • Generative AI models
  • Using a generative AI model
  • Creating an agent
  • Azure Language
  • Azure Language SDK
  • Azure Language MCP
  • Module assessment
  • Speech recognition
  • Speech synthesis
  • Creating a speech-capable agent
  • Module assessment
  • Multimodal models for image analysis
  • Image generation models
  • Video generation models
  • Module assessment
  • Extract information from documents
  • Extract information from audio and video
  • Module assessment

Resources

FAQs on AI-901T00: Introduction to AI in Azure

This course is designed for aspiring technology professionals starting their careers in AI solution development. Basic knowledge of Python and core cloud concepts (storage, compute, authentication) is helpful but not required.

There are no required prerequisites. Success is supported by computer/internet experience, interest in AI workloads, basic math understanding, and familiarity with fundamental programming concepts, though the latter is optional.

The course covers core AI concepts including generative AI and agents, natural language processing, speech recognition and synthesis, computer vision, and AI-powered information extraction, along with responsible AI principles.

You’ll learn about large language models (LLMs), effective prompting techniques, and how AI agents function, providing foundational knowledge for building generative AI solutions on Azure.

Yes, each module includes a module assessment to reinforce learning and validate understanding of key concepts such as NLP, computer vision, speech, and information extraction techniques.