Download Udemy - Exam Preparation - ISTQB CT-AI torrent

Udemy - Exam Preparation - ISTQB CT-AI

Torrent:	Udemy - Exam Preparation - ISTQB CT-AI
Description:	Exam Preparation: ISTQB CT-AI https://WebToolTip.com Published 4/2026 MP4 \| Video: h264, 1920x1080 \| Audio: AAC, 44.1 KHz, 2 Ch Language: English \| Duration: 4h 11m \| Size: 1.68 GB Prepare for ISTQB CT-AI exam: AI testing, machine learning, metrics, techniques & practice questions What you'll learn Understand AI fundamentals and AI-based systems Identify key quality aspects like bias and ethics Learn core machine learning concepts and workflows Understand data preparation and dataset types Use ML metrics like confusion matrix Learn how to test AI-based systems Handle challenges like bias and concept drift Explore AI testing techniques and methods Use AI to support testing activities Prepare for the ISTQB CT-AI exam Requirements Basic understanding of software testing concepts Familiarity with IT fundamentals Willingness to learn and prepare for the CT-AI exam
Downloads:	29
Category:	Other /Tutorials
Size:	1.7 GB
Show Files »	[ WebToolTip.com ] Udemy - Exam Preparation - ISTQB CT-AI Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction 1. About instructor.mp4 (3.6 MB) 2. Information about Exam CT‑AI.mp4 (24.6 MB) 10 - Methods and Techniques for the Testing of AI-Based Systems 51. Testing for Algorithmic, Sample and Inappropriate Bias.mp4 (20.4 MB) 52. Adversarial Attacks and Data Poisoning.mp4 (38.7 MB) 53. Pairwise Testing.mp4 (24.8 MB) 54. Back-to-Back Testing.mp4 (19.1 MB) 55. A B Testing.mp4 (13.1 MB) 56. Metamorphic Testing (MT).mp4 (27.2 MB) 57. Experience-Based Testing of AI-Based Systems.mp4 (28.6 MB) 58. Selecting Test Techniques for AI-Based Systems.mp4 (28.2 MB) 11 - Test Environments for AI-Based Systems 59. Test Environments for AI-Based Systems.mp4 (11.1 MB) 60. Virtual Test Environments for Testing AI-Based Systems.mp4 (33.3 MB) 12 - Using AI for Testing 61. AI Technologies for Testing.mp4 (21.8 MB) 62. Using AI to Analyze Reported Defects.mp4 (19.4 MB) 63. Using AI for Test Case Generation.mp4 (16.3 MB) 64. Using AI for the Optimization of Regression Test Suites.mp4 (14.2 MB) 65. Using AI for Defect Prediction.mp4 (13.8 MB) 66. Using AI to Test the GUI.mp4 (23.2 MB) 14 - Sample exam 1. Exam CT-AI.html (77.1 KB) 2 - Introduction to AI 10. Pre-Trained Models.mp4 (38.1 MB) 11. Standards, Regulations and AI.mp4 (31.6 MB) 3. Definition of AI and AI Effect.mp4 (29.1 MB) 4. Narrow, General and Super AI.mp4 (28.5 MB) 5. AI-Based and Conventional Systems.mp4 (12.4 MB) 6. AI Technologies.mp4 (27.6 MB) 7. AI Development Frameworks.mp4 (15.9 MB) 8. Hardware for AI-Based Systems.mp4 (32.1 MB) 9. AI as a Service (AIaaS).mp4 (13.2 MB) 3 - Quality Characteristics for AI-Based Systems 12. Flexibility and Adaptability.mp4 (41.2 MB) 13. Autonomy.mp4 (27.5 MB) 14. Evolution.mp4 (12.2 MB) 15. Bias.mp4 (35.7 MB) 16. Ethics.mp4 (26.3 MB) 17. Side Effects and Reward Hacking.mp4 (28.2 MB) 18. Transparency, Interpretability and Explainability.mp4 (15.3 MB) 19. Safety and AI.mp4 (23.8 MB) 4 - Machine Learning (ML) – Overview 20. Forms of ML.mp4 (19.9 MB) 21. ML Workflow.mp4 (48.0 MB) 22. Selecting a Form of ML.mp4 (30.0 MB) 23. Factors Involved in ML Algorithm Selection.mp4 (16.1 MB) 24. Overfitting and Underfitting.mp4 (29.2 MB) 5 - ML - Data 25. Data Preparation as Part of the ML Workflow.mp4 (46.4 MB) 26. Challenges in Data Preparation.mp4 (28.4 MB) 27. Training, Validation and Test Datasets in the ML Workflow.mp4 (35.0 MB) 28. Dataset Quality Issues.mp4 (41.3 MB) 29. Data Quality and its Effect on the ML Model.mp4 (28.0 MB) 30. Data Labelling for Supervised Learning.mp4 (37.8 MB) 6 - ML Functional Performance Metrics 31. Confusion Matrix.mp4 (36.1 MB) 32. ML Performance Metrics (Classification, Regression, Clustering).mp4 (29.1 MB) 33. Limitations of ML Functional Performance Metrics.mp4 (14.0 MB) 34. Selecting ML Functional Performance Metrics.mp4 (25.1 MB) 35. Benchmark Suites for ML.mp4 (26.3 MB) 7 - ML - Neural Networks and Testing 36. Neural Networks.mp4 (31.8 MB) 37. Coverage Measures for Neural Networks.mp4 (30.5 MB) 8 - Testing AI-Based Systems Overview 38. Specification of AI-Based Systems.mp4 (25.9 MB) 39. Test Levels for AI-Based Systems.mp4 (43.1 MB) 40. Test Data for Testing AI-based Systems.mp4 (27.6 MB) 41. Testing for Automation Bias in AI-Based Systems.mp4 (12.5 MB) 42. Documenting an AI Component.mp4 (35.3 MB) 43. Testing for Concept Drift.mp4 (27.8 MB) 44. Selecting a Test Approach for an ML System.mp4 (29.6 MB) 9 - Testing AI-Specific Quality Characteristics 45. Challenges Testing Self-Learning Systems.mp4 (27.2 MB) 46. Testing Autonomous AI-Based Systems.mp4 (16.0 MB) 47. Challenges Testing Probabilistic and Non-Deterministic AI-Based Systems.mp4 (28.5 MB) 48. Testing Transparency, Interpretability and Explainability of AI Systems.mp4 (24.8 MB) 49. Test Oracles for AI-Based Systems.mp4 (22.6 MB) 50. Test Objectives and Acceptance Criteria.mp4 (30.6 MB) Bonus Resources.txt (0.1 KB) files
Added:	2026-05-02 21:35:01
Language:	English
Peers:	Seeders : 5 , Leechers : 9
Tags:	IT & Software Udemy
Release name:	Udemy - Exam Preparation - ISTQB CT-AI
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