AI Test Group

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Exam Prep

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Choose Your Learning Path

From fundamentals to advanced practice, find the right course for your team’s needs.

ISTQB® AI Testing (CT-AI) Exam Prep

Audience

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format & Duration

2 days live + ½-day revision clinic

Intensive workshop format

Prerequisites

ISTQB® CTFL recommended; testing fundamentals helpful.

Key Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
Deliverables

Slides (PDF)

LO mapping sheet

Sample exam set

ISTQB® AI Testing (CT-AI) Exam Prep

Audience

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format & Duration

2 days live + ½-day revision clinic

Intensive workshop format

Prerequisites

ISTQB® CTFL recommended; testing fundamentals helpful.

Key Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
Deliverables

Slides (PDF)

LO mapping sheet

Sample exam set

ISTQB® AI Testing (CT-AI) Exam Prep

Audience

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format & Duration

2 days live + ½-day revision clinic

Intensive workshop format

Prerequisites

ISTQB® CTFL recommended; testing fundamentals helpful.

Key Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
Deliverables

Slides (PDF)

LO mapping sheet

Sample exam set

ISTQB® AI Testing (CT-AI) Exam Prep

Audience

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format & Duration

2 days live + ½-day revision clinic

Intensive workshop format

Prerequisites

ISTQB® CTFL recommended; testing fundamentals helpful.

Key Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
Deliverables

Slides (PDF)

LO mapping sheet

Sample exam set

ISTQB® AI Testing (CT-AI) Exam Prep

Course Overview

Learning Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
  • Deploy tests for AI-powered delivery with confidence

Syllabus

Course Modules
  • AI/ML Fundamentals for Testers (data → training → evaluation → deployment)
  • Quality Risks in AI Systems (bias, drift, explainability, privacy, safety)
  • Test Strategies for AI/ML (oracles, golden sets, statistical confidence)
  • Data Quality & Labeling Tests (coverage, leakage, imbalance, lineage)
  • Model Evaluation (precision/recall, ROC, confusion matrix; thresholds)
  • Non-Determinism & Repeatability (seed control, variance, benchmarking)
  • Tooling Landscape (evaluation harnesses, datasets, synthetic data)
  • Test Management & Reporting for AI (evidence, traceability, governance)
  • Exam Prep: LO mapping, sample questions, timing strateg
Hands-on Labs
  • Risk analysis for an AI feature
  • Create a simple eval harness
  • Compute metrics
  • Write a mini test strategy for an AI use-case

Note: Provide exam vouchers only if the client purchases them. AI Test Group provides training and prep; accreditation status should be clarified per engagement.

Quick Facts
Audience:

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format:

2 days live + ½-day revision clinic

Duration:

Intensive workshop format

Prerequisites:

ISTQB® CTFL recommended; testing fundamentals helpful.

Deliverables

Slides (PDF)

Sample exam set

Sample exam set

Sample exam set

LO mapping sheet

ISTQB® Generative AI Testing (Exam Prep)

Course Overview

Learning Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
  • Deploy tests for AI-powered delivery with confidence

Syllabus

Course Modules
  • AI/ML Fundamentals for Testers (data → training → evaluation → deployment)
  • Quality Risks in AI Systems (bias, drift, explainability, privacy, safety)
  • Test Strategies for AI/ML (oracles, golden sets, statistical confidence)
  • Data Quality & Labeling Tests (coverage, leakage, imbalance, lineage)
  • Model Evaluation (precision/recall, ROC, confusion matrix; thresholds)
  • Non-Determinism & Repeatability (seed control, variance, benchmarking)
  • Tooling Landscape (evaluation harnesses, datasets, synthetic data)
  • Test Management & Reporting for AI (evidence, traceability, governance)
  • Exam Prep: LO mapping, sample questions, timing strateg
Hands-on Labs
  • Risk analysis for an AI feature
  • Create a simple eval harness
  • Compute metrics
  • Write a mini test strategy for an AI use-case

Note: Provide exam vouchers only if the client purchases them. AI Test Group provides training and prep; accreditation status should be clarified per engagement.

Quick Facts
Audience:

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format:

2 days live + ½-day revision clinic

Duration:

Intensive workshop format

Prerequisites:

ISTQB® CTFL recommended; testing fundamentals helpful.

Deliverables

Slides (PDF)

Sample exam set

Sample exam set

Sample exam set

LO mapping sheet

AI Tester Basics (Foundation Bootcamp)

Course Overview

Learning Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
  • Deploy tests for AI-powered delivery with confidence

Syllabus

Course Modules
  • AI/ML Fundamentals for Testers (data → training → evaluation → deployment)
  • Quality Risks in AI Systems (bias, drift, explainability, privacy, safety)
  • Test Strategies for AI/ML (oracles, golden sets, statistical confidence)
  • Data Quality & Labeling Tests (coverage, leakage, imbalance, lineage)
  • Model Evaluation (precision/recall, ROC, confusion matrix; thresholds)
  • Non-Determinism & Repeatability (seed control, variance, benchmarking)
  • Tooling Landscape (evaluation harnesses, datasets, synthetic data)
  • Test Management & Reporting for AI (evidence, traceability, governance)
  • Exam Prep: LO mapping, sample questions, timing strateg
Hands-on Labs
  • Risk analysis for an AI feature
  • Create a simple eval harness
  • Compute metrics
  • Write a mini test strategy for an AI use-case

Note: Provide exam vouchers only if the client purchases them. AI Test Group provides training and prep; accreditation status should be clarified per engagement.

Quick Facts
Audience:

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format:

2 days live + ½-day revision clinic

Duration:

Intensive workshop format

Prerequisites:

ISTQB® CTFL recommended; testing fundamentals helpful.

Deliverables

Slides (PDF)

Sample exam set

Sample exam set

Sample exam set

LO mapping sheet

AI Tester Advanced (Professional)

Course Overview

Learning Outcomes
  • Understand AI/ML lifecycles, risks, data quality, model evaluation
  • Plan tests for non-deterministic systems
  • Map to exam learning objectives; practice with sample questions
  • Deploy tests for AI-powered delivery with confidence

Syllabus

Course Modules
  • AI/ML Fundamentals for Testers (data → training → evaluation → deployment)
  • Quality Risks in AI Systems (bias, drift, explainability, privacy, safety)
  • Test Strategies for AI/ML (oracles, golden sets, statistical confidence)
  • Data Quality & Labeling Tests (coverage, leakage, imbalance, lineage)
  • Model Evaluation (precision/recall, ROC, confusion matrix; thresholds)
  • Non-Determinism & Repeatability (seed control, variance, benchmarking)
  • Tooling Landscape (evaluation harnesses, datasets, synthetic data)
  • Test Management & Reporting for AI (evidence, traceability, governance)
  • Exam Prep: LO mapping, sample questions, timing strateg
Hands-on Labs
  • Risk analysis for an AI feature
  • Create a simple eval harness
  • Compute metrics
  • Write a mini test strategy for an AI use-case

Note: Provide exam vouchers only if the client purchases them. AI Test Group provides training and prep; accreditation status should be clarified per engagement.

Quick Facts
Audience:

Testers, SDETs, QA Leads, Developers, Product/BA working with ML/AI features.

Format:

2 days live + ½-day revision clinic

Duration:

Intensive workshop format

Prerequisites:

ISTQB® CTFL recommended; testing fundamentals helpful.

Deliverables

Slides (PDF)

Sample exam set

Sample exam set

Sample exam set

LO mapping sheet

Training Investment

Real-world results from our LLM testing and validation projects

Public Cohort

Perfect for small-scale LLM validation

From £X per seat

Most Popular

Private Cohort

Perfect for small-scale LLM validation

From £X per seat

Exam Vouchers

Perfect for small-scale LLM validation

Optional add-on

Frequently Asked Questions

Everything you need to know about our training programs.

Are these courses accredited?

We provide training and exam-prep aligned to ISTQB® syllabi. Accreditation or exam vouchers are offered when contracted accordingly. Our courses follow official learning objectives and prepare students for certification exams.

We provide training and exam-prep aligned to ISTQB® syllabi. Accreditation or exam vouchers are offered when contracted accordingly. Our courses follow official learning objectives and prepare students for certification exams.

We provide training and exam-prep aligned to ISTQB® syllabi. Accreditation or exam vouchers are offered when contracted accordingly. Our courses follow official learning objectives and prepare students for certification exams.

We provide training and exam-prep aligned to ISTQB® syllabi. Accreditation or exam vouchers are offered when contracted accordingly. Our courses follow official learning objectives and prepare students for certification exams.

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