AI-Assisted Quality Engineering & Test Strategy
From Tester to Quality Engineer — Own Quality for a Whole Product
Design and defend a complete quality strategy — performance, security, contract testing, and testing AI systems.
Writing tests is a skill. Owning the quality of a product is a discipline. Quality engineering is about deciding what to test and how much, where the risk actually lives, how fast feedback reaches developers, and how non-functional qualities — performance, security, reliability — get verified before users find the gaps.
AI is a powerful accelerant here and a dangerous strategist. It will happily generate a thousand low-value tests, a load-test script that measures the wrong thing, and a 'comprehensive' test plan that ignores the three riskiest areas of the system.
This course teaches you to direct AI across the full quality-engineering surface while supplying the strategic judgment it lacks — and increasingly essential: how to test AI/LLM-powered systems whose outputs are non-deterministic.
Writing tests is a skill. Owning the quality of a product is a discipline. Quality engineering is about deciding what to test and how much, where the risk actually lives, how fast feedback reaches developers, and how non-functional qualities get verified before users find the gaps.
AI is a powerful accelerant here and a dangerous strategist. It will happily generate a thousand low-value tests, a load-test script that measures the wrong thing, and a 'comprehensive' test plan that ignores the three riskiest areas of the system. A quality engineer who can't evaluate that output ends up with a slow, expensive suite that still lets defects through.
This course teaches you to direct AI across the full quality-engineering surface while supplying the strategic judgment it lacks: risk-based test strategy, performance and security testing, quality gates and metrics, and testing AI/LLM-powered systems.
Before
"Tests everything equally. Functional only. 'How do you even test an AI feature?'"
After
"Targets effort by risk. Owns performance, security, and reliability. Builds evals for non-deterministic LLM-powered systems."
- 1Targets testing effort by risk instead of testing everything equally
- 2Owns performance, security, and reliability testing — not just functional coverage
- 3Builds evals and tests for non-deterministic, LLM-powered systems: hallucination, prompt-injection, bias
- 4A defended, complete quality strategy — risk model, test layers, quality gates, and metrics that drive decisions
12 sessions · 24h across 3pillars · every session ends with a working, reviewable artifact. Expand any pillar for the session lineup.
Strategy & PlanningRisk-based strategy, performance, security · Weeks 1–2▼
- Session 1 — From Tester to Quality Engineer
- Session 2 — Risk-Based Test Strategy & Planning
- Session 3 — Performance & Load Testing
- Session 4 — Security Testing Fundamentals for QA
Distributed & Pipeline TestingContracts, data, CI gates, metrics · Weeks 3–4▼
- Session 5 — Contract & Microservices Testing
- Session 6 — Test Data & Environment Strategy
- Session 7 — CI/CD Quality Gates & Pipeline Engineering
- Session 8 — Quality Metrics & Observability
AI Testing & CapstoneExploratory, LLM testing, strategy design · Weeks 5–6▼
- Session 9 — Exploratory & Session-Based Testing with AI
- Session 10 — Testing AI & LLM-Powered Systems I
- Session 11 — Testing AI & LLM-Powered Systems II
- Session 12 — Capstone: Design & Defend a Quality Strategy
Want the full session-by-session syllabus with objectives and deliverables? Request it here— we'll send it over.
| Delivery | Cohort-based, live, instructor-led |
| Class length | 2 hours per class |
| Cadence | 2 classes/week (4 hours/week) |
| Total length | 12 sessions · 24h over 6 weeks |
| Location | Dhaka + Global (remote seats available) |
| Prerequisites | Hands-on testing experience. AI-Assisted Test Automation (SQA-1) or equivalent automation background recommended. |
৳4,500
$69 global
Coming soonThis course launches soon. Join the waitlist for early access and launch-day pricing.
Do I need SQA-1 first?▼
Recommended but not required. You need hands-on testing experience. SQA-1 teaches the automation fundamentals that SQA-2 assumes.
Will I learn to test AI systems?▼
Yes. Sessions 10–11 cover non-deterministic testing, evals, LLM-as-judge, hallucination, prompt-injection, and bias testing.
Is this course only for QA professionals?▼
No. Developers moving into quality ownership, SDETs, and test architects will all benefit. The prerequisite is hands-on testing experience.
Part of a longer track?
This course is part of the SQA. Explore the full catalog to find related courses that build on each other.
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