Learn N8N at These 5 N8N Bootcamps

I successfully completed the Full-stack Web and App Development bootcamp at WBS Coding School and graduated just 8 months ago. Looking back, I can confidently say this program was instrumental in launching my career, especially considering the current, highly competitive job market.
The curriculum is extremely well-prepared and structured. It is a truly full-time, fast-paced learning environment that demands commitment. Having a prior coding background definitely gave me a solid foundation and allowed me to maximize the benefit of the accelerated pace. The dedicated learning platform is intuitive and the utilization of Slack for messaging ensured that communication, both with peers and the great instructors, was seamless and efficient.
The most critical factor for me was the outcome. The Career Services team provided invaluable support in navigating the job search process, which ultimately led to me landing a Software Developer job. To achieve this placement in such a saturated and hard market is a testament to the quality of the training and the effectiveness of their career guidance. I am incredibly happy with my decision to attend WBS Coding School, and I highly recommend it to anyone serious about making a career change into development.

Gracias al Master en Ciencia de datos e IA pude cambiar mi vida laboral! Ahora trabajo como Ingeniero de IA con una carrera profesional muy interesante! Quiero dar las gracias a Olga Nunes quien, gracias a su información, facilidades de pago y buen trato, hizo posible que diera el salto e iniciara así este bonito camino!

100% recomendable! Si vais a hacer algún master, preguntad por ella porque os ayudará en todo lo que pueda!

I got education for 6 months. I have learned a lot of skill about automation testing. Java, Selenium, Testng, Cucumber, API, SQL, Jenkins, Jira, Git, Github, Postman, Rest Assured etc... I recommend that.

I had a very positive experience with Hyperskill’s AI Engineering Bootcamp. The program is well-structured, practical, and high quality overall. The pacing was clear (module timelines were defined), and the guidance/checklists made it easy to know exactly what to do next.

The most valuable part for me was the project-based approach. Completing real projects that I can publish and keep in my GitHub portfolio is by far the best outcome—tangible, motivating, and directly useful for career growth.

I completed about half of the program, mainly because I started during a very busy season at work (December) and didn’t consistently give it the time it deserved. That’s on me, not the bootcamp. The good news is that the curriculum gave me a solid roadmap, a lot of high-quality material to keep studying in depth, and several new ideas for my own projects/startup. It also reinforced that transitioning toward an AI Engineering profile is realistic and achievable.

The only downside I ran into is platform support for WSL (Windows Subsystem for Linux). I’m a long-time Windows user, but my development workflow relies heavily on WSL because it’s closer to a Linux/Mac environment. Not having WSL support meant I had to work strictly in Windows, which was limiting for me. Aside from that, everything was excellent.

Who I’d recommend it to: anyone serious about moving into AI Engineering who wants structured, hands-on learning and portfolio-ready projects—just make sure you can commit consistent time and effort to get the most out of it.