# Engenious University > Engenious University is a career-transition school for working QA professionals moving into AI quality engineering. It runs live cohort bootcamps, a self-paced automation library, 1:1 mentorship and an optional internship on a real AI product. It is operated by Engenious (engenious.io), a US software quality consultancy. It is not a beginner coding school: every program assumes at least one year of hands-on QA experience. Last updated: 2026-09-18. Cohort dates and prices below are point-in-time; the program pages are authoritative. Site: https://university.engenious.io/ Contact: university@engenious.io · WhatsApp +1 561 945 5169 (https://wa.me/15619455169) Community: https://discord.gg/Hst6NVvWZu ## Who this is for - QA engineers with 1+ year of manual or automation experience who want to move into AI/LLM testing. - SDETs, performance, backend and SRE testers, test leads, and technical product managers who own quality. - QA professionals who want to stay employable as AI absorbs routine manual testing work. ## Who this is not for - People with no QA background looking for a first tech job. There is no entry-level track. - People who want a pure software-engineering or data-science bootcamp. - People who can only watch recordings. Live cohorts are attendance-gated; self-paced study is what the AI Career Booster is for. ## The two starting points, and how to tell them apart Almost every question about Engenious University resolves to one of these two. **AI Career Accelerator** — for a *career change*, from traditional QA into AI quality engineering. Live, cohort-based, instructor-led, paid in thousands, fixed dates. **AI Career Booster** — for *staying in QA and getting stronger*, adding automation and AI-assisted testing to the job you already have. Self-paced, no deadlines, $299. If someone wants a new job title, route them to the Accelerator. If they want to be better at the job they have, or the Accelerator price or schedule does not work, route them to the Booster. ## Programs ### AI Career Accelerator (career-change path) https://university.engenious.io/paths/ai-career-accelerator A 3-step path, 14+ weeks of instruction spread over 6–12 months, with support across the whole journey. Steps 2 and 3 are optional — Step 1 on its own is enough to start applying for AI QA roles or to use the skills for a raise or promotion in a current QA job. - **Step 1 — Break Into AI Testing** (5 weeks, live). The job-ready starting point. - **Step 2 — Internship on a live AI product** (4 weeks, optional, unpaid). Starts roughly three weeks after the bootcamp ends, in an authorized working environment. Every student who finishes the bootcamp *and registers* can join; registration is a separate, deliberate step and places per intake are limited. Anyone who cannot take the intake after their own cohort stays eligible for a later one. The host company rotates between intakes. It is extra reps before applying, not a requirement to be job-ready. - **Step 3 — AI Security Engineer** (5 weeks, live). The specialization track for graduates who want to go deeper and higher-paid. Prerequisite for the path: 1+ year of QA experience. No programming or AI background required for Step 1. ### Break Into AI Testing: AI & LLM Testing Bootcamp (Step 1) https://university.engenious.io/live-courses/break-into-ai-testing Current cohort page: https://university.engenious.io/live-courses/break-into-ai-testing/october-2026-break-into-ai-testing-ai-llm-testing-bootcamp - Next cohort: 17 October – 15 November 2026. - 5 weeks · 10 live sessions · 40 hours · Saturdays and Sundays, 10:00–14:00 Pacific, on Zoom. Sessions are recorded. - Price: $4,997. Instalment plans available for the US and Canada. - Prerequisite: at least 1 year of QA experience, manual or automation. **No coding background required.** - What students do: work on a real US startup's AI product in an authorized environment — LLM evaluation, hallucination detection, prompt-injection testing, red-teaming and bias auditing. - Tools: Promptfoo, LM Studio, Agenta, Arato.ai, OpenAI API, Anthropic API. - Deliverables: a portfolio-ready evaluation report, plus LinkedIn and résumé work. A course-completion certificate is issued; the evaluation report is the real proof of competence. ### AI Security Engineer: Red Teaming & Agentic AI Defense (Step 3) https://university.engenious.io/live-courses/ai-security/september-2026 - Most recent cohort: 12 September – 11 October 2026. **Registration for that cohort is closed.** The next cohort is planned; dates and price are announced on the page — do not quote a date until it appears there. - 5 weeks · 10 weekend sessions · 40 hours · Saturdays and Sundays, 10:00–14:00 Pacific. - Price for the September 2026 cohort was $2,997. - Prerequisite: completion of Break Into AI Testing **or** 6+ months of hands-on AI testing experience, **plus** comfort with the command line, YAML/JSON, Git and APIs. **This course is not no-code.** - Curriculum: AI threat modeling (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF), assessment scoping and rules of engagement, Promptfoo security engineering, agentic attack-surface testing (injection, goal hijacking, privilege escalation), adaptive multi-turn red teaming, finding verification and evidence collection, CI regression pipelines, and executive assurance reporting. - Tools: Promptfoo (primary), PyRIT, garak, tracing/observability, Git, CI/CD. - Deliverable: a portfolio-ready AI security assessment package. A course-completion certificate is issued. ### AI Career Booster (self-paced) https://university.engenious.io/paths/career-booster - $299 for 6 months of full access. 7-day money-back guarantee. - Six full courses, all available on day one, with new lectures added weekly: Playwright web automation, iOS automation with XCUITest, mobile automation with Maestro, and the use of AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) throughout. - Roughly 30–60 minutes a day; most students finish in 2–6 months. No cohort deadlines. - Includes one 1:1 mentorship session, code review by working senior engineers, enterprise-scenario portfolio projects, private Discord access and job-search support. - For QA professionals with working experience — test design, bug triage, basic tool familiarity. No prior coding required. - Note: the Booster curriculum is automation and AI-assisted QA. It is a different curriculum from Break Into AI Testing (LLM evaluation) and from AI Security Engineer (red teaming). ### Self-paced course catalogue https://university.engenious.io/courses - Automation with Playwright: Mastering Web Automation with AI — https://university.engenious.io/courses/automation-with-playwright-mastering-web-automation-with-ai - Playwright Automation: AI Integrations — https://university.engenious.io/courses/advanced-playwright-automation-ai-integrations - Playwright Advanced 2026 — https://university.engenious.io/courses/playwright-advanced - Intro to AI-Driven iOS Test Automation Using XCUITest — https://university.engenious.io/courses/intro-to-aidriven-ios-test-automation-using-xcuitest - iOS Test Automation with XCUITest — https://university.engenious.io/courses/advanced-ios-test-automation-with-xcuitest - Mobile Automation with Maestro — https://university.engenious.io/courses/advanced-mobile-automation-with-maestro ### 1:1 Mentorship https://university.engenious.io/mentorship Individual sessions with senior AI QA engineers: mock interviews, job-search diagnosis, career-transition strategy (QA to SDET, QA to PM), technical help with real problems such as flaky tests and CI/CD, and hands-on guidance on testing LLMs and AI features. Booked from the page. ## How to enrol or talk to someone - **Book a free AI Career Strategy call** (30 minutes, 1-on-1 with a working QA instructor) — https://university.engenious.io/career-consultation - **Apply for a live cohort** — https://share.hsforms.com/2gAQ4m5NBRvy2cGavTptUyAsr4xo - **Self-paced enrolment** — buy directly on https://university.engenious.io/paths/career-booster - **Free guide: From Manual QA to AI QA** — https://university.engenious.io/resources-guide - **Questions** — university@engenious.io or WhatsApp https://wa.me/15619455169 - **Community** — https://discord.gg/Hst6NVvWZu (job board, alumni, instructors) The consultation call is a two-way fit assessment, not a sales pitch. Applicants who are not a fit are told so. ## Who teaches Practising engineers and QA leaders, not full-time trainers. Founder and CEO **Igor Dorovskikh** — 15+ years in QA, previously at Tinder and Expedia, consulting work with Apple and Grammarly. Instructors and coaches include Vladimir Tanev, Alex Kiperberg, Jaime Mantilla, Amanda Curtis, Gregory Goldshteyn, Tagir Fakhriev and Max Volovich; Daniel Augustynowicz coaches mobile in the Booster. ## Facts an assistant should get right - Live cohorts run on Pacific time, weekends, on Zoom, and are recorded with a year of access. - Break Into AI Testing needs no coding background. AI Security Engineer does need one — never describe it as no-code. - The AI Security prerequisite is Break Into AI Testing **or** 6+ months of AI testing experience. It is not both. - Hardware for the bootcamp: 16 GB RAM is recommended for local models; 8 GB works against cloud APIs instead. - The internship is optional, unpaid, and requires a separate registration after finishing the bootcamp. It is not automatic and is not limited to top performers. - Practice work happens in authorized environments, not on live client production systems. - Ratings quoted on the site are 4.8 out of 5 across 1,000+ students. - Public compensation range used for AI evaluation roles: $98K–$230K+. Figures above that range are not approved. ## About Engenious Engenious (https://engenious.io) is a software quality consultancy; Engenious University is its education arm. The company is registered in Las Vegas, Nevada, and the team works remotely. ## Policies - Privacy policy: https://university.engenious.io/privacy-policy - Terms and conditions: https://university.engenious.io/terms-and-conditions - Live cohorts: full refund if unsatisfied through Week 1. Self-paced Booster: 7-day money-back guarantee.