AI Career Accelerator
Become the QA Engineer Teams Trust to Test AI
Five weekends, one real AI product, and an eval report you can put in front of any hiring manager.
YOUR Journey
QA today → AI-testing engineer. Three steps
STEP 1 - LEARN
Live sessions from engineers who test AI for PwC and Fox
STEP 2 - PROVE
You test a real AI product and write the eval report yourself
STEP 3 - GET HIRED
Interview prep from real job posts + 4-week internship
What we tested for clients last month becomes your next lesson.
Our alumni work at:
Sound Familiar?
None of that is a discipline problem. It is what happens when everything on offer sells you content and nobody hands you real work.
We felt it too, inside Tinder, watching the job posts change while the headlines piled up. That is why we built this.
AI breaks quietly, in 7 ways. Somebody has to catch it.
It lies - "hallucinations"
When AI doesn't know the answer, it invents one – confidently and in detail.
It leaks - "prompt injection & jailbreaks"
With the right trick question, AI can be talked into revealing private data.
It discriminates - "hidden bias"
AI learns by copying millions of past human decisions, including the unfair ones.
It forgets - "context limits"
In long conversations it loses earlier details and starts contradicting itself.
It gets worse over time - "model drift"
The AI that passed every test at launch slowly gets worse as models and users change
It breaks rules - "compliance failures"
AI doesn't know the law. It will happily promise, advise or reveal things your industry forbids.
It crosses lines - "value misalignment"
Sometimes AI produces answers no one at your company would ever approve, offensive, unsafe, off-brand – and ships them to a customer.
This is for you if:
You are a manual or automation QA and you want to own AI testing before someone else does.
You test performance or backend, run SRE, or own quality as a technical PM.
You are senior and you want your relevance to outlast the tooling.
You are an SDET and Selenium and Playwright are no longer the ceiling you want.
You want a shot at the $120K - $230K+ AI evaluation band.
Who You Become, Week By Week
10 live sessions • 40 hours • every week hands-on
Day 1: How LLMs actually work, the seven AI failure types, and your lab running local (LM Studio) and commercial (OpenAI, Anthropic) models side by side.
Day 2: Your first automated test suites in Promptfoo – providers, prompts, pass/fail assertions across models.
Day 3: Prompt engineering – system vs. user prompts – plus cost evaluation: what every answer costs across models.
Day 4: LLM-as-judge: model-graded assertions scoring relevancy and factuality, with CSV-driven test data. Your AI-testing LinkedIn presence starts here.
Day 5: Red teaming with the OWASP Top 10 for AI – strategy, execution, analysis.
Day 6: Break into a real application: end-to-end black-box testing of a production AI system (orchestrator, guard LLM, knowledge bases) and professional AI bug reports.
Day 7: Execute your complete red-team configuration, triage classmates' bugs, and master multi-turn conversation testing for regression.
Day 8: Post-launch monitoring with Arato, plus a second eval platform – Agenta – to build the consultant's view of the tool market.
Day 9: Agenta vs. Promptfoo head-to-head, and accomplishment statements that quantify the business impact of what you built.
Day 10: Resume and LinkedIn locked in, then the AI-testing interview questions companies actually ask – scaling evals, verifying factuality, testing LLMs with LLMs.
You After the Path
AI Test Engineer
You walk out with AI and LLM testing experience built on a real US startup product, and the report to prove it.
$98K–$230K+
Expected salary
Hard Skills
Tools
Promptfoo
LM Studio
Agenta
Arato.ai
OpenAI API
Anthropic APIAI Application Testing Portfolio
Hands-on artifacts covering LLM evaluation, prompt injection and jailbreak testing, multi-model comparison, and hallucination detection — built using Promptfoo, OpenAI API, Anthropic API, and LM Studio.
Proof of Work
Break Into AI Testing: The Next-Gen Quality Engineer Skillset
EnGenious University
You after the program
Dennis Nikolaenko 
Prompt Evaluation Engineer @ Meta
“Testing AI and everything that we've been learning so far are very different. AI is smart and we learned how to use it. My message is if I can do it, you can do it.”
Nimesha Shingote
AI QA Engineer @ Infosys
“Even if you are still doing your AI SDLC life cycle in the traditional manner, you will end up testing AI products.”
Mavis Herring
AI Quality Engineer @ WeOptimize AI
“This course built confidence. As soon as I posted that I finished the course on LinkedIn, many recruiters started approaching me.”
Mariia Abramiuk
Senior Quality Assurance Analyst
“It's not just the buzzwords or the theory — it's the actual hands-on experience with red teaming and prompt injection that gives you real confidence to go after this role.”
Lakshmi Navya Sivakoti
AI Tester
“My whole perspective has changed from traditional QA to thinking how I can become an AI Test Engineer or an AI Evaluation Engineer”
Max Volovich
QA Engineering Manager @ Sirona Medical
“After this course, I not only understand how AI systems work behind the scenes, but I also feel confident leading teams building and testing them.”
Hershal Walton
Gen AI Product Manager
“This course puts you in a leading frontier for new opportunities that should be coming up very soon”
One program. Everything included
STARTS OCT 17 • SAT + SUN • 10AM-2PM PACIFIC
4x
$999.25
interest-free (US) · or $3,997 one time - same total
10 live sessions
40 hours
Weekends only
Real eval report
your portfolio
Working mentors
Meta, Fox, PwC
Private community
24/7 Discord
Career support
Interview prep
What's included
5-week live bootcamp, weekends, every session recorded
Real-product eval report and your portfolio
Instructors and mentors who test AI for Apple, PwC, Fox, Tinder and Meta
Code reviews from working senior engineers
Interview prep from real job posts
Recordings for a year, community for life
A shot at the 4-week AI Startup Internship
Yes — at least 1 year of QA experience (manual or automation).
No programming background is needed, though familiarity with testing workflows is helpful.
After finishing the 5 week AI Testing Bootcamp you’ll gain practical skills to:
1. Test and validate AI-powered applications and LLMs
2. Detect hallucinations, bias, and factual drift
3. Evaluate grounding and context reliability
4. Use frameworks like Promptfoo and LLM-graded assertions
5. Build a portfolio-ready capstone project aligned with current job roles
No, and nobody honest can promise one. What you get is four of the forty hours dedicated to career work in the final week — LinkedIn and personal branding, job-search strategy for AI and QA markets, and résumé and portfolio positioning — plus proof of work you can actually show. For top-performing graduates, Engenious sometimes offers short-term contract work through partner projects; timing and availability are never guaranteed. After graduation you can continue through the Mentorship Program.
💻 Windows: Windows 10 (64-bit) or newer
✅ Intel i5/i7 (8th Gen +) or AMD Ryzen 5/7+
✅ Dedicated GPU with ≥ 6 GB VRAM (e.g., NVIDIA RTX 2060 / 3060)
✅ 16 GB RAM (or higher)
✅ 30 GB free storage
✅ Node.js v18+, Python 3.8+, VS Code, Git (Docker optional)
✅ Chrome or Edge browser
✅ Stable 10 Mbps+ internet + webcam
🍏 macOS: macOS Monterey (12+) or newer
✅ Apple Silicon M1, M2, M3 or M4
✅ 16 GB RAM (or higher)
✅ 30 GB free storage
✅ Homebrew, Node.js v18+, Python 3.8+, Docker (optional)
✅ Chrome or Safari browser
✅ Reliable 10 Mbps+ connection + webcam
💡 Tip: Dual-monitor setups improve productivity for labs and evaluations.
This program is for QA professionals with 1+ year of manual QA experience who want to move into the fast-growing world of AI Quality Assurance. No coding or AI experience is required — just curiosity, analytical thinking, and a testing mindset.
AI Career Accelerator is a long term path aimed at full career transformation that offers various courses about AI testing and internship opportunities.
The first step of AI Career Accelerator path is a 5-week, hands-on training program "Break Into AI Testing" designed to help QA engineers transition into AI & LLM Testing roles. You’ll work on a real U.S. startup AI project while mastering model evaluation, red-teaming, and test automation with AI tools.
Yes, currently available for U.S. and Canada applicants. May be available for other countries - only for U.S. Dollars payments.
During checkout, you can select a payment plan through Stripe’s Klarna interface, allowing you to spread tuition into manageable installments.
1. Project-based learning: You test a real U.S. AI startup product
2. 95% hands-on: Minimal theory, maximum practice
3. Mentor-led live sessions (with recordings for 1-year access)
4. Career coaching and interview prep built into the final module.
Total journey and career transformation can take up to a year and we will support you the entire time.
The initial bootcamp is 5-week long training that includes 10 lectures (40 hours). Classes are held on weekends, Saturdays and Sundays from 10.00 am to 2.00 pm PST.
2 weeks after it finishes we offer 4-week internship. Afterwards we have another 5-weeks course for Advanced topics, beyond testing LLMs.
To apply for the program, go to the first step and submit your application to confirm your eligibility — only 50 seats per cohort are available. Early applicants receive priority for personalized feedback and project pairing.
Not sure if the program is right for you? Book a free AI Career Strategy call before you enroll.
Still deciding?
Not sure if this program is right for you? Need help choosing the best path or want to understand the curriculum better?
Tell us where you are and we will tell you honestly whether this is your next step. Same-day reply.
MESSAGE US
100% money back guarantee
If you're not satisfied by Week 1, claim a full refund, no questions.
Seats are limited to 50 registrants. Secure your spot today.