ISTQB AI Testing – Learn best practices and prepare for exam

سرفصل های دوره

Based on real life exercises and taught by Dr Stuart Reid, a global SW testing expert with 30+ years of experience

01. Introduction to AI

1.1 text book.zip

1. intro to course

2. Intro to AI Part 1

3. Intro to AI Part 2

02. Quality Characteristics for AI-Based Systems

1. Quality Characteristics Part 1

2. Quality Characteristics Part 2

3. Quality Characteristics Part 3

03. Machine Learning (ML) Overview

1. ML Overview

2. Exercise 1a

3. Exercise 1b

4. ML Types

5. ML Workflow Part 1

6. ML Workflow Part 2

04. ML Data

1. Data Prep and Acquisition

2. Exercise 3a

3. Data Pre Processing

4. Exercise 3b

5. Data Prep Challenges

6. Exercise 3c

7. Data Quality

8. ML Workflow

05. ML Functional Performance Metrics

1. Perf Metrics Confusion Matrix

2. Perf Metrics Beyond

06. ML Neural Networks and Testing

1. Intro to Perceptrons

2. Exercise 9

3. Neural Networks

07. Testing AI-Based Systems Overview

1. Specification and Oracle Problem

2. Acceptance Criteria and Documentation

3. Test Levels for AI

08. Testing AI-Specific Quality Characteristics

1. AI Specific Testing Issues Part 1

2. AI Specific Testing Issues Part 2

09. Methods and Techniques for the Testing of AI-Based Systems

1. Selecting Test Approaches

2. M 0T Intro and Attacks

3. Combinatorial Testing

4. B2B Testing

5. Metamorphic Testing

6. Experience-Based Testing

10. Test Environments for AI-Based Systems

1. Test Environments

11. Using AI for Testing

1. Using AI Part 1

2. Using AI Part 2

3. Using AI Part 3

4. Exercise 18

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تولید کننده: Udemy-Training