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Microsoft AI Fundamentals AZ-305T00A with SIMS & 2 Exams
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Rating: 5.0 out of 5(1 rating)
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Microsoft AI Fundamentals AZ-305T00A with SIMS & 2 Exams

Learn Microsoft AI: GenAI, NLP, ML, Agents, Vision, Speech, Extraction, & Resp AI - 23 SIMS, 10 Hands-On Labs, 2 Exams
Created byJames Dethwick
Last updated 10/2026
English
English

What you'll learn

  • Identify common AI workloads and choose an appropriate Microsoft Azure AI service for a practical business scenario.
  • Apply Microsoft's responsible AI principles to recognize risks and select safeguards for AI solutions.
  • Explain generative AI and agents, write useful prompts, and follow the steps to create an agent in Microsoft Foundry.
  • Analyze text with Azure Language in Foundry Tools and recognize common natural language processing tasks.
  • Explain speech recognition and synthesis, and practice speech tasks with Azure Speech in Foundry Tools.
  • Explain computer vision concepts and practice interpreting images with vision-capable models in Microsoft Foundry.
  • Extract useful information from documents and other content with Azure Content Understanding in Foundry Tools.
  • Explain machine learning fundamentals and compare common learning approaches in the bonus machine learning material.
  • Explore how agent workflows use tools, knowledge, and memory, and identify controls that support safer automation.
  • Practice Azure AI tasks in guided simulations without an Azure subscription and reinforce your AI-901 study with labs.

Course content

30 sections • 162 lectures • 20h 2m total length

  • Microsoft AI 901 Practical Azure AI7:25
  • Six Exam Ready Skills6:09
  • Guided Simulations No Azure Subscription2:38
  • Microsoft Material5:00

Requirements

  • No prior AI, machine learning, or Microsoft Azure experience is required. Bring basic computer skills and a willingness to practice.
  • A computer with internet access and a modern browser is needed. The guided simulations let you practice without setting up or paying for an Azure subscription.
  • An Azure subscription and the relevant resource permissions are needed only if you choose to run the live Azure labs yourself. Azure service usage may incur charges.
  • Basic programming familiarity, especially Python, is helpful for code examples and app connection exercises. You can begin with the concepts and guided simulations.

Description

**Just added 2 60 Question Exams - This course will fully prepare you for the AI-901 Exam. As a Microsoft Trainer, I can deliver the latest Microsoft Official Curriculum (MOC), “AZ-305T00A.”  I teach what Microsoft provides and also include additional material I believe will help you better understand Microsoft AI.

This course covers all you need to be prepared to pass the exam. I don't think you can pass the AI-901 over the weekend. This is a true 40-hour course when you include the hands-on labs and the simulations.

This course includes 23 guided simulations, 10 labs, 8 lab walkthroughs, and 2 bonus sections—giving you plenty of opportunities to put AI concepts into practice and reinforce what you learn. If your goal is to pass AI-901 and build a solid foundation in Microsoft AI, this class will guide your preparation, with expert instruction and practical learning every step of the way.

Build a foundation in artificial intelligence and explore how Microsoft Azure and Microsoft Foundry support common AI workloads. This complete Microsoft AI Fundamentals AI-901 course brings the eight-part series together in one learning path, connecting core concepts with examples, quizzes, guided simulations, and lab activities.

Work through the eight parts in order:

1. Introduction to AI in Azure: AI workloads, Azure basics, Microsoft Foundry, and responsible AI principles.

2. Generative AI: transformers, tokens, embeddings, attention, prompts, models, retrieval-augmented generation (RAG), and introductory agent concepts.

3. Text Analysis and NLP: sentiment analysis, key phrase extraction, named entities, language detection, summarization, and responsible handling of language data.

4. Speech AI: speech recognition, speech synthesis, Azure Speech, SDK examples, and voice-enabled agents.

5. Vision AI: image processing, convolutional neural networks, vision transformers, multimodal image analysis, image generation, and business uses of computer vision.

6. Information Extraction: reading text, Azure Content Understanding, Azure AI Document Intelligence, knowledge mining, extraction quality, and solution architecture.

7. Machine Learning: regression, classification, clustering, deep learning, model training, automated machine learning, and the Azure Machine Learning lifecycle.

8. AI Agents: Microsoft Foundry agents, tools, knowledge, memory, orchestration, security, and approaches to agent development with Microsoft tools.

The course combines explanations with knowledge checks and opportunities to explore practical workflows. Guided simulations let you learn selected workflows without an Azure subscription. Live Azure labs require a subscription and access to the services used in each exercise.


Who this course is for:

  • Beginners and students who want a clear, step-by-step introduction to Microsoft AI and Azure, with guided practice from their first lesson.
  • Learners preparing for Microsoft AI Fundamentals AI-901 who want the complete eight-part learning path, practical examples, and opportunities to check their understanding.
  • Business professionals who want to recognize useful AI applications, choose suitable Microsoft services, and understand responsible AI considerations.
  • IT professionals and aspiring developers who want to explore Microsoft Foundry, language, speech, vision, information extraction, machine learning, and agent workflows.
  • Learners who want to practice Azure AI tasks through guided simulations before setting up a live Azure environment.

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