AI Career Accelerator

AI & LLM BOOTCAMP

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.

157 Engineers trained95% of the program is practicalAlumni at Meta, Apple and Amazon

Todd Groudan

5.0

As a QA engineer moving into AI evaluation, I found this bootcamp gave me a clear picture of why QA matters so much across the AI software lifecycle. It covered red teaming, validating non-deterministic output, and catching hallucinations, and all of it was hands-on with real tools like Promptfoo, LM Studio, Agenta and Arato. Igor, Greg and Amanda knew the material deeply, broke complex topics into easy-to-follow concepts, and were always patient and willing to help. The career prep in the final week was a great bonus. This course took the mystery out of AI testing for me, and I'm excited to see what comes next. I highly recommend it to anyone who wants to move into AI evaluation but feels hesitant, and to anyone who wants to keep growing their career.

Sabri Yusubzada

5.0

This course helped me see AI testing from a broader perspective and gave me the confidence that I can do it, all in a student-friendly environment that makes you feel comfortable

Julio Gonzalez

5.0

This course is great because it gives you a path and clears things up for you in AI testing. There's chaos in AI and this course helps to ground you and point you in the direction you need to go. It can be overwhelming at first but you also learn to utilize AI agents and prompt them to help you troubleshoot and get answers. I was able to get set up and fix any terminal path issues within 5 minutes just by prompting claude. I'm the type of person that doesn't just like to see things working, but what happens when they break, or I get an error that someone else doesn't? How does everything work under the hood? How do I break this intentionally? What happens if I do A but get result B or C? I could throw questions out all day just to see how AI will never give the same response twice. Initially I had my doubts before taking this class because while I do work with AI daily, I had never evaluated its outputs officially. I just knew if when something didn't look right and i'd prod AI until the answer was satisfactory or I developed a different solution. I'm excited for what's next after this as I know have an action plan and am more confident after completing this cohort. Thanks again to Gregory, Amanda, Tagir, Igor, Jaime, Nik and all the volunteers and other folks behind Engenious for putting this all together.

Michael Parkanskiy

5.0

Fantastic class!

Chamini Seneviratne

5.0

Very insightful practical course that I would highly recommend to anyone transitioning from traditional QA to AI testing.

Kiet Vu

5.0

This cohort was amazing, it really opens my eyes and allow me to navigate in the AI/LLM testing world! The instructors were supper knowledgable and very nice, ready to help students at any given time. So are the volunteers, the 5 weeks gone by fast.

Darpan Oza

5.0

This is not an AI generated review :) I had a great experience with this course and would highly recommend it to anyone interested in understanding Generative AI and LLM-based products. The course provided a very practical and well-structured introduction to Large Language Models (LLMs), with a strong focus on how to test and evaluate them effectively. I particularly appreciated the hands-on approach to LLM testing, AI product testing, evaluation techniques, and real-world use cases. The content was relevant, up to date, and easy to understand, even when covering complex AI concepts. The instructor was excellent—knowledgeable, approachable, and very clear in explaining the concepts.

Shak Schiff

5.0

This course combined hands-on exercises with expert instructors who clearly know the field, giving us plenty of practice building and testing AI applications. It also pushed a mindset shift: instead of expecting one correct answer from an LLM, you learn to evaluate probabilistic outputs by setting thresholds and acceptable ranges.

Valeriia Sviridova

5.0

This course exceeded my expectations! It was interactive from day one: every session had us actually doing the work, not just watching slides, and I came away with skills I could actually apply, not just notes. Highly recommend to anyone in QA looking to move into AI testing

Corey Molloy

5.0

Going into this course, one of the biggest challenges for me was figuring out what areas to focus on for the new AI tech I needed to upskill my QA engineering career. Engenious solves that by using real industry insight on what new skills companies are actually wanting and how that intersects with the software testing ecosystem. So, I was no longer guessing at what matters. On top of that, it's hands-on learning with real instruction and small class sizes. We got into actual tooling: Promptfoo, red-teaming, and the 7 core challenges framework. That combination is what made it stick.

Eugene Libes

4.5

Awesome course with real world experience!

Emmanuel Ogu

5.0

Educative, engaging, very practical and good value for money.

sireesha Medarmetla

5.0

The August cohort was a great learning experience. It gave me a better understanding of AI testing, LLM vulnerabilities, red teaming, and Promptfoo. The hands-on exercises were especially helpful in building practical skills.

Lana Tsoy

4.0

This course was an incredibly valuable learning experience for anyone interested in AI quality assurance, safety, and evaluation. The course provided both strong theoretical foundations and practical hands-on experience in testing Large Language Models (LLMs). One of the most valuable parts was learning how to automate AI evaluations using modern evaluation frameworks and tools. I gained practical experience building automated evaluation pipelines with Promptfoo, creating custom metrics, assertion suites, and running red-team scenarios to assess model robustness.

Aziza Kidiraliyeva

4.5

I recently completed AI courses through Engenious and it genuinely exceeded my expectations. The curriculum builds up AI fundamentals in a clear, structured way that actually sticks — no overwhelming jargon, just solid content that helped me understand the "why" behind the tools, not just the "how." The variety of new tools I got to explore was impressive, and I walked away with skills I can actually use. But the real highlight was the internship with a real company on real projects — something most online courses simply don't offer. That hands-on experience made all the difference and gave me the confidence to apply what I learned immediately. Highly recommend to anyone looking to break into AI or level up their skills!

Park Kharuehadech

5.0

Taking this course was one of the best decisions I’ve made. Learning about tools like Promptfoo, red teaming, and Arato was truly eye-opening, and the course gave me practical, hands-on experience through the internship program as well. The instructors are incredibly knowledgeable, supportive, and always willing to help. I’d highly recommend this course to anyone looking to grow their skills and accelerate their career

Ted Chung

5.0

really great people and learnings!

Mariia Abramiuk

5.0

Really glad I took this course. The instructors clearly know their craft and do a great job guiding you through complex material in a way that actually sticks. We covered adversarial testing, bias detection, red teaming, and multi-model evaluation using real tools like Promptfoo, Agenta AI, and Arato AI — hands-on, not just theory. Highly recommend for anyone serious about AI testing.

Muhammad Awais

5.0

- The course content was cutting-edge. - The complete life cycle of AI/LLM was demonstrated and tested. - State-of-the-art platforms were provided for testing (and were funded by Engenious University). - Virtual classrooms are safe spaces where you can present your ideas and projects. Instructors work along with you to refine your idea/project to make it a professional portfolio. - Career coaching session was a game-changer. - I will surely join the upcoming courses related to AI Agents Testing.

Abilash Chinatalacheruvula

4.5

Excellent course content with real hands-on exercises and practices.

Vinutha Lingaraju

4.0

I recently completed the AI course at Engenious University and overall it was a good learning experience. As someone working in the QA and test automation space and looking to expand into AI, I found the course a worthwhile step in that direction. The hands-on projects were definitely the strongest part of the programme. Being able to work through real problems rather than just absorbing theory made the concepts stick, and I came away with practical skills I can apply directly in my work.

Younghyeun Park

5.0

It was really practical and gave me a wild mindset shift. I'm ready for AI/LLM testing journey, looking forward for that!

Richard Cottrell

5.0

This 5-week course is an absolute masterclass for anyone transitioning from traditional QA into the world of AI and LLMs. It moves far beyond the hype to tackle the genuine technical challenges of testing non-deterministic solutions, providing a robust framework for building a real-world test strategy. What made this course stand out: 1. Deep-Dive Tooling: We got hands-on experience with Promptfoo and LM Studio, learning exactly how to leverage them for measurable results and why. 2. Red Teaming & Strategy: Moving from theory to the actual execution of Red Teaming was a highlight, as was the focus on the financial cost of different using different LLMs and testing approaches. 3. Practical 'Learn-See-Do' Format: The structure was excellent. Every session followed a clear 'concept demonstration group exercise' flow. Working through these concepts in breakout groups ensured the knowledge actually stuck. 4. Total Support: The flexibility of having recorded sessions was a lifesaver for busy weeks and having the tutors available via Discord throughout the 5 weeks meant no question went unanswered. If you want to understand how to actually validate AI performance and manage the risks of non-deterministic systems, this is the course you need. Highly recommended!

Janine Simons

5.0

I found this AI training extremely valuable. I learned a lot, and the knowledge and experience I gained will be very useful in my work. The final day on personal branding was a great addition, especially given the emerging market we are entering. I truly appreciate how practical and relevant the program was.

Meheza Tchalim

4.0

Great course for an introduction to LLM Testing. The instructors are knowledgeable, and patient.

Tetyana Shvets

5.0

This course was incredibly valuable.The content was well-structured and practical. It’s an excellent program for anyone transitioning into AI/LLM-focused roles.

Lucas Smit

5.0

Great course! I learned a lot in the 5 weeks and now feel confident on how to test AI/LLM systems. Would recommend to anyone interested in this area :)

Swapna Shree

5.0

I recently completed this course, and it exceeded my expectations in every way. The content was thoughtfully structured and easy to follow. Each session built on the previous one, creating a smooth learning flow that kept me engaged from start to finish. The best part was after each theoretical explanation we had practical hands on time which made all the difference. It was well organized. Nothing felt rushed or confusing. What stood out most was the instructor’s clarity and depth of knowledge. I took 3 months to decide whether to join this cohort or not. After successfully completing this cohort, it feels like i wasted 3 months in just deciding. I should have started earlier. I would highly highly recommend it to anyone looking to grow their AI testing skills and learn from team of experts who truly care about student success. I walked away with a stronger understanding and a clear sense of how to perform AI testing in real world application.

Gokulakrishnan Jayakrishnan

5.0

I wanted to take a moment to express my sincere gratitude for the incredible experience I've had in this boot camp. The knowledge, skills, and confidence I've gained have truly exceeded my expectations.

Ulyana Hetman

5.0

I really enjoyed the classes throughout the course. The knowledge I gained is hard to find on the market and truly priceless from a professional standpoint.

Michael Johnson

5.0

Very insightful, opened a world that I didn't know existed.

Caleb Byrne

5.0

This course was so much more than just learning foundational concepts to test AI models. From Jaime's AI excellence and experimentation tips to Amanda's knowledge, education prowess and love for learning to Igor's candid tips for selling yourself, visionary forward thinking about where testing is going in the future, this course exceeded my expectations and I grew a lot in my testing ability, knowledge and understanding on how to find a better job.

Leonid Vernikov

5.0

Awesome course. An eye opener

Joanna Lorincz

5.0

I really enjoyed the AI LLM Testing course at Engenious University. It was very hands-on, practical, and full of real examples. The instructors explained each tool clearly, and the collaborative approach made learning both engaging and effective. Highly recommend it for anyone looking to understand how to test AI and LLM applications!

Malin Zanjani

5.0

The course was really good and instructors were helpful. Thank you!

daria gluhovskaia

5.0

Amazing course. Really gives you a different perspective on testing AI/LLM and puts you ahead of the curve. I am continuing my learnings. However, the instructors are amazingly talented and know a lot about the subject matter. Count not have picked a better cohort and path. Thanks again.

Craig Herring

5.0

I am really happy and relieved that I took this course when I did! I learned no much about AI Testing that it will take another month or so to "digest" all of the info and to keep practicing on the new tools we learned. The instructors are top notch, and didn't just teach us tools and strategies, but also gave us great advice about what to do in the upcoming "AI Tidal Wave". It was also great interacting with the other students during the many practical exercises. I made a lot of great connections as well! I look forward to see what other courses are available or will become available in the future. Thanks Engenious University!

Brian Rukundo Kwiringira

5.0

very insightful, awesome content

Anna Ayvazyan

5.0

Amazing course , being able to put theory into practice helped understand and gave me confidence that I can apply what I’ve learned in real-world settings.

Rohit kumar

5.0

I am grateful for the opportunity to be part of the AI LLM Testing Cohort. The instructors were highly knowledgeable and supportive, and the entire team fostered a collaborative and engaging learning environment. I have gained valuable insights and hands-on experience, and I now feel confident in my skills as an AI Testing Engineer. A big thank you to everyone who made this program such a rewarding experience.

Charles Lane

4.5

Amanda and Jaime were great instructors and coaches. Knowledgable, inspirational, supportive, all-around professional and eager to stay on and continue to answer questions beyond the alloted 4 hours, they had great energy. The hands-on, learn-by-practice, learn-from-failure methodology was overall effective. Sometimes we went too fast into details w/o enough context. Engagement and openness in the group was great. Discord was good for continued conversations and assistance.

Bethelhem Assefa

5.0

The course was great and teachers and volunteers are doing a great job into helping each and everyone of us. still its a new topic and needs more of studying to get to understand everything. Thank you all the team for giving us such a chance to become infront of the AI world

Mavis Herring

5.0

I really enjoyed this course! It provided a comprehensive and hands-on experience to AI and LLM testing, bridging my existing QA background with emerging AI technologies. The instructors did a fantastic job explaining complex topics like prompt injection, hallucination and bias detection, performance consistency, and compliance with human values and regulations. I particularly appreciated the practical exercises and tools, including exposure to AI testing tools like Promptfoo, LM Studio, Hugging Face, Jira/Confluence, ClickUp and Red Teaming which gave me hands-on experience in evaluating LLM outputs. Overall, this course significantly enhanced my understanding of AI infrastructure, testing strategies, and best practices, and I feel more confident in applying these skills in real-world projects. I highly recommend it to anyone looking to expand into AI testing or performance evaluation for LLMs.

nimesha shingote

5.0

Thanks for the amazing course and including me in the community

Avishek Bhattacharjee

4.0

I really enjoyed the first 2–3 weeks when we focused dedicatedly on Promptfoo and the related assignments. The WeOptimize sessions, however, felt more centered around ClickUp than Promptfoo itself. It would be great if future sessions could include tools like LangTest or DeepEval in the final two classes, along with a mock interview session. Overall, I truly loved the curriculum and appreciate the effort that went into designing it.Thanks, to Jaime and Amanda- excellent mentors.

Dennis Nikolayenko

4.5

Absolutely worth spending your time and resources on this course. It is well designed with a good balance of live sessions and your own pace. Instructors are amazing - professional, experienced and super helpful. You willbe busy with hands on projects, home work and live sessions.

sowmya dindukurthi

5.0

It gave a very good intorduction to AI world for me and help me to decide on my transition to AI

Natalia Popova

5.0

Perfect course for a career boost.

Qijuan Harris

5.0

This has been a wonderful course, and I truly appreciate the opportunity to be a part of it. Thank you to all the instructors — Vlad was an excellent teacher, and everyone was amazing

Demoriel Purnell

5.0

The Course was Phenomenal ! The hands on experience with test LLM in real world applications completely shifted my mindset and skill development in Validating AI and LLM's. This experience has taken me down a new career path and I'm extremely grateful to the Team at Engenious University for the opportunity !

Alex Teymurazov

5.0

By far one of the most valuable courses I’ve taken. The format stands out because it’s not lecture-heavy, instead it’s predominantly hands-on, which in my experience is the most effective way to master new skills and technologies. The sessions provided not just theoretical knowledge, but real opportunities to apply concepts directly, from AI testing and LLMs to prompt evaluation and red teaming. This course is well worth investment for anyone looking to get practical experience in AI and LLM testing.

Anna Morgan

5.0

Great course! Complete eye opener for AI and LLM models. Course is very interactive and 80% of the time was devoted to actual hands on testing and developing skills starting from basic models to more complicated ones. Completing the course also gave more confidence while changing traditionally seasoned QA mind to QA AI Tester and inspired to continue learning in the new direction and search for new job.

Steve Leon

5.0

The instructors and the course are absolutely phenomenal! Solid content and material, great delivery, and a super supportive community. Worth every penny!

Olga Myronenko

5.0

Thank you for this course! I really enjoyed the balance between theory and practice. The way you explained the differences between traditional testing and AI/LLM testing made the concepts clear and easy to follow. I especially appreciated the hands-on parts with Promptfoo and Agenta, as well as the chance to test a real project (WeOptimize) that included different LLMs — that was amazing and made the learning so much more practical. A special thank you to Vlad — an excellent teacher who made the course even more engaging and insightful!

Anupama kytham

5.0

The 5-week LLM Testing Certification Program from Engenious University was an excellent learning journey that combined structure, depth, and real-world application. The curriculum was thoughtfully designed, starting with the fundamentals of LLM behavior and progressing into advanced areas such as prompt injections, hallucinations, bias, red-teaming, and compliance. What I found most valuable was the strong balance between theory and hands-on practice — every concept was reinforced with practical exercises using tools like Promptfoo and LangTest, which made the learning directly applicable to enterprise QA. The instructors, Igor Dorovshikh and Vladimir, brought clarity and industry context, ensuring the material was not only relevant but also actionable for today’s AI-driven landscape. Overall, the program equips QA professionals with both the technical skills and the mindset shift required to transition into AI/LLM testing, and I would highly recommend it to anyone looking to stay ahead in the future of quality assurance.

Mark Paul

4.5

The information was fantastic. The pace was underwhelming. I feel like I came away with an understanding about testing LLM's but the how is going to come with real world scenarios. Hands on learning is the best vessel for learning a new technical skill but I felt the course was more Q&A than it was technical work.

Sharon O'Boyle

5.0

An incredible learning journey! I loved learning how to test LLMs through practical exercises in group sessions and hands-on, real app testing. It's also been super valuable to get insights into what skills are really needed right now in the industry and how to prepare for interviews. The instructors are super passionate about what they do and genuinely care about everyone's progress. I finished with valuable new skills and a community of like-minded peers who continue to support and inspire me.

Liliana Mestre

5.0

This was a eye and mind opener experience. The contente is clear, pratical and directed to real life scenarios. The hands-on exercises are perfect to make complex concepts easy to understand. If you want to be in the future of QA this is the course to do.

Marcellus Walton

5.0

This a wonderful course I thank you for giving me this opportunity, Thank you to all the instructors Vlad was a great teacher. Everyone was amazing(

Orhan Demirci

5.0

Amazing course and instructors. I learned a lot

Hershal Walton

5.0

Amazing course!!! Life changing community for support after the course as well

Shaquille Nelson

5.0

Huge thanks to instructors Igor Dorovskikh and Vladimir Tanev for delivering such practical and insightful sessions. I enjoyed the structure and build up with each of the sessions. Starting from the basic and building up the foundational knowledge needed to be super successful. Thanks as well for the encouragement and can't wait to put everything to use.

Kavita Jadhav

5.0

This course clearly outlined the future of QA — moving beyond test automation into validating AI models directly. 💡 I highly recommend it to QA professionals who want to upskill into AI Assurance and stay ahead of the curve. 📊 With practical case studies, frameworks, and portfolio-building guidance, it is both actionable and future-ready.

Nataliya Hirina

4.5

Great practical introduction to Ai testing and changing your mindset about future of testing.

Mikhail Fedechkin

5.0

This course is highly recommended!

Anna Vysotskaya

5.0

Just wrapped up an AI Testing course and it was super practical and eye-opening. Learned how to test models, spot hallucinations, and rethink what “pass/fail” means when it comes to AI.

Todd Groudan

5.0

Sabri Yusubzada

5.0

This course helped me see AI testing from a broader perspective and gave me the confidence that I can do it, all in a student-friendly environment that makes you feel comfortable

Julio Gonzalez

5.0

Michael Parkanskiy

5.0

Fantastic class!

Chamini Seneviratne

5.0

Very insightful practical course that I would highly recommend to anyone transitioning from traditional QA to AI testing.

Kiet Vu

5.0

Darpan Oza

5.0

Shak Schiff

5.0

Valeriia Sviridova

5.0

Corey Molloy

5.0

Eugene Libes

4.5

Awesome course with real world experience!

Emmanuel Ogu

5.0

Educative, engaging, very practical and good value for money.

sireesha Medarmetla

5.0

Lana Tsoy

4.0

Aziza Kidiraliyeva

4.5

Park Kharuehadech

5.0

Ted Chung

5.0

really great people and learnings!

Mariia Abramiuk

5.0

Muhammad Awais

5.0

Abilash Chinatalacheruvula

4.5

Excellent course content with real hands-on exercises and practices.

Vinutha Lingaraju

4.0

Younghyeun Park

5.0

It was really practical and gave me a wild mindset shift. I'm ready for AI/LLM testing journey, looking forward for that!

Richard Cottrell

5.0

Janine Simons

5.0

Meheza Tchalim

4.0

Great course for an introduction to LLM Testing. The instructors are knowledgeable, and patient.

Tetyana Shvets

5.0

This course was incredibly valuable.The content was well-structured and practical. It’s an excellent program for anyone transitioning into AI/LLM-focused roles.

Lucas Smit

5.0

Great course! I learned a lot in the 5 weeks and now feel confident on how to test AI/LLM systems. Would recommend to anyone interested in this area :)

Swapna Shree

5.0

Gokulakrishnan Jayakrishnan

5.0

Ulyana Hetman

5.0

I really enjoyed the classes throughout the course. The knowledge I gained is hard to find on the market and truly priceless from a professional standpoint.

Michael Johnson

5.0

Very insightful, opened a world that I didn't know existed.

Caleb Byrne

5.0

Leonid Vernikov

5.0

Awesome course. An eye opener

Joanna Lorincz

5.0

Malin Zanjani

5.0

The course was really good and instructors were helpful. Thank you!

daria gluhovskaia

5.0

Craig Herring

5.0

Brian Rukundo Kwiringira

5.0

very insightful, awesome content

Anna Ayvazyan

5.0

Amazing course , being able to put theory into practice helped understand and gave me confidence that I can apply what I’ve learned in real-world settings.

Rohit kumar

5.0

Charles Lane

4.5

Bethelhem Assefa

5.0

Mavis Herring

5.0

nimesha shingote

5.0

Thanks for the amazing course and including me in the community

Avishek Bhattacharjee

4.0

Dennis Nikolayenko

4.5

sowmya dindukurthi

5.0

It gave a very good intorduction to AI world for me and help me to decide on my transition to AI

Natalia Popova

5.0

Perfect course for a career boost.

Qijuan Harris

5.0

This has been a wonderful course, and I truly appreciate the opportunity to be a part of it. Thank you to all the instructors — Vlad was an excellent teacher, and everyone was amazing

Demoriel Purnell

5.0

Alex Teymurazov

5.0

Anna Morgan

5.0

Steve Leon

5.0

The instructors and the course are absolutely phenomenal! Solid content and material, great delivery, and a super supportive community. Worth every penny!

Olga Myronenko

5.0

Anupama kytham

5.0

Mark Paul

4.5

Sharon O'Boyle

5.0

Liliana Mestre

5.0

Marcellus Walton

5.0

This a wonderful course I thank you for giving me this opportunity, Thank you to all the instructors Vlad was a great teacher. Everyone was amazing(

Orhan Demirci

5.0

Amazing course and instructors. I learned a lot

Hershal Walton

5.0

Amazing course!!! Life changing community for support after the course as well

Shaquille Nelson

5.0

Kavita Jadhav

5.0

Nataliya Hirina

4.5

Great practical introduction to Ai testing and changing your mindset about future of testing.

Mikhail Fedechkin

5.0

This course is highly recommended!

Anna Vysotskaya

5.0

Just wrapped up an AI Testing course and it was super practical and eye-opening. Learned how to test models, spot hallucinations, and rethink what “pass/fail” means when it comes to AI.

Our alumni work at:

Sound Familiar?

“Every course teaches something different and none of them connect.”

“I don't want theory. I need skills I can use at work on Monday.”

“I know AI matters. I don't know where to start.”

“I'm afraid of choosing the wrong course and wasting time.”

“I can't quit my job to learn AI full time.”

“I don't know which AI role actually fits me.”

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 $98K–$230K+ AI evaluation band.

We test AI for Apple, Tinder, Fox, PwC...
Now we'll train you.

CEO and Founder

Igor founded Engenious.io and has 15+ years in software testing. He has worked at Barnes & Noble, Expedia and Tinder, and consulted at Apple and Grammarly. He teaches the career week — positioning, outreach and the interview questions companies are actually asking.

Award Winning QA Leader

Visionary QA Leader with substantial experience in the IT industry. Worked across Salesforce, Sony, and now as part of Video Engineering and Quality Assurance at Fox Media, he leads the strategy for high-concurrency streaming environments, where a single second of latency is unacceptable.

Quality Engineering Manager

Seasoned IT professional with 14+ years of experience in Software Engineering, Quality Assurance, and Automation. Skilled in leading teams, designing test strategies, and building automation frameworks across diverse industries. Adept at leveraging modern tools, AI-driven testing approaches, and cloud technologies to deliver high-quality, scalable solutions. Holds a Bachelor’s in Management Information Systems and a Master’s in Information Technology with proven success supporting enterprise-level clients and Fortune 500 companies.

Founder of Lemonade Tech

Amanda Curtis is a QA leader and founder of Lemonade Tech, with a passion for responsible AI adoption and helping teams cut through tech overwhelm. With 10+ years experience leading QA teams and modernizing testing practices, Amanda focuses on practical solutions that improve software quality while keeping technology approachable and human-centered. Helping organizations “find the good in tech” by cutting through complexity and focusing on what truly adds value.

Senior AI/LLM Engineer & Consulting

Six years across ML and AI engineering, consulting and teaching. Builds from scratch first for tailored, optimized solutions: agent loops on cloud and local models (official OpenAI, Anthropic and Gemini SDKs; Ollama), and training methods (GRPO, DPO, LoRA, distillation). Uses frameworks where they fit: LlamaIndex and LangGraph for agents; scikit-learn, PyTorch and TensorFlow for ML. Owns the full lifecycle: design, evals, infra as code, CI/CD, deployment on AWS, GCP and Azure, and monitoring that feeds the next iteration. Taught 300+ people in nine cities; trained as an architect.

Co-Founder & CTO·WeOptimize.ai

Vladimir is an experienced engineer with 8+ years in software development, specializing in AI-powered solutions. As the Co-Founder & CTO of WeOptimize.ai, he leverages AI to optimize workflows and enhance productivity. He has a track record of delivering innovative products for both startups and large enterprises.

Software Engineer

10 years of experience in the tech industry; Senior Android Engineer in Platform team. Expert in CI/CD pipelines, test automation, and mobile infrastructure; passionate about developer productivity and workflow optimization.

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.

Our Next Cohort

Cohort January 2027

Start Date: January 23, 2027

End Date: February 21, 2027

Duration: 5 Weeks

Format: Interactive live Zoom sessions

Instructors:

Igor Dorovskikh,

Gregory Goldshteyn,

Jaime Mantilla,

Amanda Curtis,

Juan Garassino,

Vladimir Tanev,

Tagir Fakhriev

Pricing

$3,997

$4,997

Save $1,000

Early bird price until January 2

or Buy Now, Pay Later with (available for payments in USD)

Secure your spotLimited seats available

by paying, you agree to the Terms & Conditions

Course Schedule (PDT)

January 23

Saturday

10:00 AM - 2:00 PM

January 24

Sunday

10:00 AM - 2:00 PM

January 30

Saturday

10:00 AM - 2:00 PM

January 31

Sunday

10:00 AM - 2:00 PM

February 6

Saturday

10:00 AM - 2:00 PM

February 7

Sunday

10:00 AM - 2:00 PM

February 13

Saturday

10:00 AM - 2:00 PM

February 14

Sunday

10:00 AM - 2:00 PM

February 20

Saturday

10:00 AM - 2:00 PM

February 21

Sunday

10:00 AM - 2:00 PM

You After the "AI & LLM TESTING" 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

LLM evaluation

Hallucination + factual drift detection

Multi-model comparison

LLM-graded assertions

Prompt injection + jailbreak testing (red teaming)

Bug reports for AI failures

Tools

Promptfoo

LM Studio

Agenta

Arato.ai

OpenAI API

Anthropic API

AI 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

Your Path: From QA Engineer to AI Specialist

Learn

5 weeks

Prove

4 weeks

Practice

2–6 months

Advance

5 weeks

Specialize

Break into AI Testing

Real AI product, hands-on evaluation and testing — you graduate with an eval report, not a certificate.

Doing AI Eval Work

Your own AI projects / A new QA role / Backed by mentors + other alumni

AI Security Engineer

Red-team LLM apps and AI agents — audit skills companies are hiring for right now.

Doing Both: AI Eval and Security

One profile spanning both — real work you can put in front of anyone.

You after the program

Dennis Nikolayenko

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.”

Shak Schiff

Lead Quality Strategist

“In hindsight, I did a very good job only on what I knew, which was the packaging. The actual AI inside these systems was kind of hands-off.”

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

$999.25

interest-free (in USD) · 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 4-week unpaid internship on a real AI product — open to every graduate who finishes

100% money-back through Week 1, no questions asked

Secure checkout • payment plan by Klarna

Minimum system requirements

macOS:

Processor: Apple Silicon M1, M2, M3 or M4

Memory: 16 GB RAM (or higher)

Storage: 30 GB free SSD space

Note: Mac OS systems without an M chip are not supported

Windows:

Processor: Intel Core i5 / i7 or AMD Ryzen 5 / 7

Memory: 16 GB RAM (or higher)

GPU: Dedicated GPU with ≥ 6 GB VRAM (e.g., NVIDIA RTX 2060 / 3060)

Storage: 30 GB free SSD space

FAQ

Nothing is mandatory. The tools we teach on — Promptfoo, LM Studio, Agenta — are free, as are GitHub and Discord.

Two things we strongly recommend, because they make the work considerably smoother:

✅ An Anthropic (Claude) subscription, around $20/month. This is the one we'd push hardest for.

✅ OpenRouter, roughly $10–20, if you want access to less rate-limited models. There is a free tier, but it is throughput-limited, so performance degrades when you are working at pace.

The OpenAI and Anthropic APIs are pay-as-you-go rather than subscriptions — you will need your own key and a small credit balance. Budget around $10 of API credit to start; most students spend little more than that during the cohort.

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.

1. Project-based learning: you test a real U.S. AI startup product.

2. 95% hands-on — minimal theory, maximum practice.

3. Small live cohorts. Group lab sessions run at around 8 people, so you get attention rather than a webinar.

4. You leave with a GitHub repository of everything you built. That is the proof you put in front of a hiring manager — not a certificate.

5. Career coaching and interview prep are built into the final week.

Sessions are recorded and stay available for a year, but the recordings are a backup, not the product.

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 we can tell you is what actually happens: on average 38% of our alumni are in a job in the roles we teach within nine months, against an industry benchmark nearer 10%.

Worth understanding why that number isn't higher, because it's the honest part — not everyone who joins is looking for a job. Many enrol to upskill and are happy where they are, and some land roles or promotions and never tell us. 38% is what we can actually evidence.

The entire final week is dedicated to career work — LinkedIn and personal branding, job-search strategy for the AI and QA markets, résumé and portfolio positioning, and interview preparation on the questions actually being asked now. You also start posting from Week 2, so the search is working for you before you finish.

Beyond the cohort, we partner with recruiting agencies specialising in AI evaluation, AI testing and cyber security, and we recommend our top students to them — a recommendation, not a placement. For top-performing graduates, Engenious sometimes offers short-term contract work through partner projects; timing and availability are never guaranteed.

After the programme, instructors stay generally available in our Discord at no cost. One-to-one mentorship sessions are available separately as a paid add-on.

Total journey and career transformation can take up to a year, and we support you the entire time.

The initial bootcamp is a 5-week training that includes 10 lectures (40 hours). Classes are held on weekends, Saturdays and Sundays, 10.00 am to 2.00 pm Pacific. Sessions typically run four to five hours. With homework, plan on at least 10–12 hours a week in total — that is the floor. Students who finish with a portfolio and a job are usually closer to 15–18 hours: they form a study group with two or three others, redo the exercises, and post as they go.

About three weeks after the bootcamp ends, you can join a 4-week unpaid internship on a real AI product — open to everyone who finishes and registers. After that comes the 5-week specialization AI Security Engineer: Red Teaming & Agentic AI Defense, which goes beyond testing LLMs into red teaming and agentic AI defense.

💻 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.

Yes — at least 1 year of QA experience (manual or automation).

No programming background is needed, though familiarity with testing workflows is helpful.

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.

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.

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.

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 FAQ support illustration

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.

Ready to Begin Your AI Testing Journey?

AI is transforming quality engineering, this path ensures you transform with it.

Get consultation

Become the QA Engineer Teams Trust to Test AI

What we tested for clients last month becomes your next lesson.

Our alumni work at:

Sound Familiar?

AI breaks quietly, in 7 ways. Somebody has to catch it.

This is for you if:

We test AI for Apple, Tinder, Fox, PwC...
Now we'll train you.

Who You Become, Week By Week

Cohort January 2027

You After the "AI & LLM TESTING" Path

Your Path: From QA Engineer to AI Specialist

Break into AI Testing

Internship

Doing AI Eval Work

AI Security Engineer

Doing Both: AI Eval and Security

You after the program

Minimum system requirements

What do I need to spend beyond tuition?

Who is this program for?

What makes this program different?

What will I achieve by completion

Is a job guaranteed?

What is the duration of this program?

What are the system requirements for the course?

Are there prerequisites?

What is the AI Career Accelerator?

How do I apply?

Is there a payment plan?

Become the QA Engineer Teams Trust to Test AI

What we tested for clients last month becomes your next lesson.

Our alumni work at:

Sound Familiar?

AI breaks quietly, in 7 ways. Somebody has to catch it.

This is for you if:

We test AI for Apple, Tinder, Fox, PwC... Now we'll train you.

Who You Become, Week By Week

Week 1–You speak AI

Week 2–You write tests machines can grade

Week 3–You attack a real AI app

Week 4–You run the full red-team

Week 5–You turn the work into interviews

Cohort January 2027

You After the "AI & LLM TESTING" Path

Your Path: From QA Engineer to AI Specialist

Break into AI Testing

Internship

Doing AI Eval Work

AI Security Engineer

Doing Both: AI Eval and Security

You after the program

Minimum system requirements

What do I need to spend beyond tuition?

What do I need to spend beyond tuition?

Who is this program for?

Who is this program for?

What makes this program different?

What makes this program different?

What will I achieve by completion

What will I achieve by completion

Is a job guaranteed?

Is a job guaranteed?

What is the duration of this program?

What is the duration of this program?

What are the system requirements for the course?

What are the system requirements for the course?

Are there prerequisites?

Are there prerequisites?

What is the AI Career Accelerator?

What is the AI Career Accelerator?

How do I apply?

How do I apply?

Is there a payment plan?

Is there a payment plan?

We test AI for Apple, Tinder, Fox, PwC...
Now we'll train you.