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

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• Get Bonus Downloads Here.url (0.2 KB)
~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 (21.0 KB)
• 1. The Modern AI Landscape & Ethical Frameworks.pdf (1.3 MB)
• 10. Responsible AI Inclusiveness and Accessibility.mp4 (73.3 MB)
• 11. Responsible AI Transparency and Explainability.mp4 (64.0 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 (139.0 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)
10 - Practice Test
• 1. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 1 (Description).html (0.8 KB)
• 1. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 1.html (133.1 KB)
• 2. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 2 (Description).html (0.8 KB)
• 2. Microsoft AI-901 Microsoft Azure AI Fundamental Practice Test 2.html (132.1 KB)
2 - Fundamental Principles of Machine Learning on Azure
• 14. Exploring Azure Machine Learning Capabilities.mp4 (43.0 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 (46.0 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 (34.0 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 (40.0 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 (39.0 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 (36.0 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)
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