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Udemy - AI-901 Exam Prep - Microsoft Azure AI Fundamentals

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Udemy - AI-901 Exam Prep - Microsoft Azure AI Fundamentals (Size: 3.8 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - The Modern AI Landscape & Ethical Frameworks
  1. Evolution from AI-900 to AI-901 What has Changed.mp4 35.7 MB
  1. Quiz.html 21 KB
  1. The Modern AI Landscape & Ethical Frameworks.pdf 1.3 MB
  10 - Practice Test
  1. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 1 (Description).html 819.2 B
  1. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 1.html 133.1 KB
  2 - Fundamental Principles of Machine Learning on Azure
  14. Exploring Azure Machine Learning Capabilities.mp4 43 MB
  14. Fundamental Principles of Machine Learning on Azure.pdf 796.7 KB
  15. Automated Machine Learning (AutoML) Concepts and Use Cases.mp4 47.7 MB
  16. Understanding Regression Predicting Continuous Values.mp4 49.6 MB
  17. Understanding Classification Categorizing Data Points.mp4 29.7 MB
  18. Understanding Clustering Identifying Hidden Patterns.mp4 44.5 MB
  19. Data Science Workspace Compute, Data, and Model Management.mp4 46 MB
  2. Quiz.html 20.5 KB
  20. Model Deployment Strategies Real-time vs. Batch Inference.mp4 37.1 MB
  21. Monitoring Model Decay and Data Drift.mp4 34 MB
  22. Case Study Predicting Retail Demand using Azure AutoML.mp4 84.6 MB
  3 - Computer Vision Workloads in Azure
  23. Common Scenarios for Computer Vision.mp4 43.3 MB
  23. Computer Vision Workloads in Azure.pdf 780.2 KB
  24. Image Classification vs. Object Detection.mp4 38.3 MB
  25. Optical Character Recognition (OCR) Extracting Text from Images.mp4 41.6 MB
  26. Facial Detection, Analysis, and Recognition Concepts.mp4 43.9 MB
  27. Exploring the Azure AI Vision Service.mp4 40.3 MB
  28. Image Analysis Tagging and Categorization.mp4 36.4 MB
  29. Custom Vision Training for Niche Requirements.mp4 37.4 MB
  3. Quiz.html 20.4 KB
  30. Spatial Analysis Understanding Movement in Physical Spaces.mp4 36.2 MB
  31. Video Indexer Insights from Multimedia Content.mp4 40.4 MB
  32. Case Study Automating Quality Control in Manufacturing with Vision AI.mp4 42.8 MB
  4 - Natural Language Processing (NLP) & Speech
  33. Identifying NLP Workload Scenarios.mp4 39.2 MB
  33. Natural Language Processing (NLP) & Speech.pdf 914.3 KB
  34. Key Phrase Extraction and Entity Recognition.mp4 40 MB
  35. Sentiment Analysis Gauging User Emotion.mp4 42.6 MB
  36. Language Modeling and Text Summarization Concepts.mp4 34.9 MB
  37. Azure AI Language Service Unified NLP Capabilities.mp4 36.7 MB
  38. Question Answering and Conversational Language Understanding.mp4 33.2 MB
  39. Speech Recognition Converting Audio to Text.mp4 38.5 MB
  4. Quiz.html 20.4 KB
  40. Speech Synthesis Creating Natural Human-like Voices.mp4 39 MB
  41. Real-time Translation for Global Communication.mp4 49.5 MB
  42. Case Study Building a Multilingual Customer Support Hub.mp4 74.1 MB
  5 - Generative AI Workloads & Large Language Models (LLMs)
  43. Generative AI Workloads & Large Language Models (LLMs).pdf 1.1 MB
  43. What is Generative AI Concepts of Content Creation.mp4 32.9 MB
  44. Understanding LLMs Tokens, Embeddings, and Parameters.mp4 37.7 MB
  45. The Azure OpenAI Service Models (GPT-4, DALL-E, Codex).mp4 41.1 MB
  46. Prompt Engineering The Art of Guiding the Model.mp4 31.2 MB
  47. Zero-shot, One-shot, and Few-shot Learning.mp4 36.2 MB
  48. Copilot Scenarios Enhancing Human Productivity.mp4 37.2 MB
  49. Temperature and Top-P Controlling Model Randomness.mp4 38.2 MB
  5. Quiz.html 20.5 KB
  50. Content Filtering and Safety in Generative AI.mp4 33.4 MB
  51. Case Study Generating Creative Marketing Campaigns with Azure OpenAI.mp4 57.4 MB
  6 - Implementation with Microsoft AI Foundry
  52. Implementation with Microsoft AI Foundry.pdf 779.9 KB
  52. Introduction to Microsoft AI Foundry The Unified Platform.mp4 41.1 MB
  53. Navigating the Model Catalog Choosing the Right Foundation.mp4 36 MB
  54. Deploying Your First Model in AI Foundry.mp4 31.9 MB
  55. Evaluating Model Performance Accuracy vs. Grounding.mp4 35.2 MB
  56. RAG (Retrieval-Augmented Generation) Using Your Own Data.mp4 35.3 MB
  57. Vector Databases Storing and Searching Embeddings.mp4 37.9 MB
  58. The AI Foundry SDK Conceptual Overview for Developers.mp4 40.4 MB
  59. Case Study Knowledge Base Chatbot using RAG and AI Foundry.mp4 39.6 MB
  6. Quiz.html 20.3 KB
  7 - Agentic AI & The Future of Autonomy
  60. Agentic AI & The Future of Autonomy.pdf 756.5 KB
  60. Defining AI Agents Beyond Simple Chatbots.mp4 37.4 MB
  61. The Agent Lifecycle Plan, Execute, and Observe.mp4 35.2 MB
  62. Multi-Agent Systems Coordination and Orchestration.mp4 42.1 MB
  63. Tool Calling How Agents Interact with External APIs.mp4 35.4 MB
  64. Memory and State Management in Agentic Workflows.mp4 39.7 MB
  65. Evaluating Agent Reliability and Reasoning.mp4 38.5 MB
  66. Case Study Orchestrating a Supply Chain Agent for Logistics.mp4 55.2 MB
  7. Quiz.html 20.6 KB
  8 - Document Intelligence & Specialized AI
  67. Azure AI Document Intelligence Form and Table Extraction.mp4 81.8 MB
  67. Document Intelligence & Specialized AI.pdf 717.6 KB
  68. Custom Models for Specialized Document Layouts.mp4 34.2 MB
  69. Azure AI Search Bringing it all Together.mp4 45.3 MB
  70. Integration with Power Platform Low-code AI Solutions.mp4 39.2 MB
  71. Pricing and Cost Management for Azure AI Services.mp4 64.4 MB
  72. Case Study Digitizing 50 Years of Invoices for a Global Firm.mp4 73.6 MB
  8. Quiz.html 20.5 KB
  9 - Final Preparation Strategy
  73. Final Preparation Strategy.pdf 664 KB
  73. Understanding the Exam Structure and Question Types.mp4 32.3 MB
  74. Critical Thinking How to Eliminate Incorrect Answers.mp4 19.7 MB
  75. Time Management during the Certification Session.mp4 31.8 MB
  76. The Day-of Mental Checklist for Success.mp4 37.7 MB
  9. Quiz.html 20.6 KB
  2. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 2 (Description).html 819.2 B
  2. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 2.html 132.1 KB
  10. Responsible AI Inclusiveness and Accessibility.mp4 73.3 MB
  11. Responsible AI Transparency and Explainability.mp4 64 MB
  12. Responsible AI Accountability and Human Oversight.mp4 91.1 MB
  13. Case Study Navigating Ethical Dilemmas in a Medical AI Deployment.mp4 113.5 MB
  2. Defining Artificial Intelligence in the Era of Generative Models.mp4 139 MB
  3. Understanding Machine Learning Features, Labels, and Training.mp4 133.1 MB
  4. Understanding Machine Learning Features, Labels, and Training.mp4 133.1 MB
  5. Deep Learning and the Rise of Neural Networks.mp4 117.3 MB
  6. The Transformer Architecture The Engine of Modern AI.mp4 131.1 MB
  7. Responsible AI The Principle of Fairness.mp4 84.1 MB
  8. Responsible AI Reliability and Safety in Critical Systems.mp4 78.2 MB
  9. Responsible AI Privacy and Security of User Data.mp4 68.7 MB

Description


AI-901 Exam Prep : Microsoft Azure AI Fundamentals
https://WebToolTip.com
Published 5/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 7h 35m | Size: 3.81 GB
Pass the AI-901 exam with practice questions on AI Foundry, Azure ML, Python, and Responsible AI principles.
What you'll learn

Master the AI-901 exam syllabus to confidently pass the Microsoft Azure AI Fundamentals certification on your first try.

Build and deploy cutting-edge generative AI models and custom copilot experiences using the new Azure AI Foundry portal.

Understand core machine learning concepts and train automated ML models using the Azure Machine Learning (ML) workspace.

Grasp the essential Python programming fundamentals required to interact with Azure SDKs and manage cloud AI workloads.

Apply Microsoft’s Guiding Principles for Responsible AI to ensure your solutions are ethical, secure, fair, and inclusive.

Explore Natural Language Processing (NLP) to analyze text, translate languages, and build intelligent conversational bots.

Master Computer Vision workloads, learning how Azure AI interprets images, detects faces, and extracts data from documents.

Validate your exam readiness with realistic AI-901 practice questions, understanding the exact logic behind every answer.
Requirements

Basic Python Knowledge: Unlike previous iterations of the fundamentals exam, the newly updated AI-901 standard requires a foundational understanding of Python syntax and basic programming concepts to interact with modern AI models.

Familiarity with Cloud Computing: A general grasp of core cloud concepts—such as compute, storage, and client-server applications—is recommended for provisioning and navigating Azure resources.

No Prior Machine Learning Experience Required: You absolutely do not need a background in advanced mathematics, data science, or complex software engineering to succeed in this course.

Open to All Career Stages: Whether you are an aspiring junior developer or a seasoned professional pivoting into the AI space later in your career, complex topics are broken down into simple English using relatable, real-world workplace analogies to make learning seamless.

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