Learn TensorFlow at These 17 TensorFlow Bootcamps

This review is long overdue, but I can honestly say Codesmith changed my life. It didn’t just teach me software engineering, it taught me how to learn on my own and how to push past challenges. I also met some amazing people who made the journey even better.

If you are on the fence about it, my only advice is to go for it. It is completely worth it. Just know what you are signing up for. Codesmith does not babysit you. They give you the tools and the structure, but it is up to you to put in the work. They push you to step up, and that is exactly why you grow so much. It is the perfect mix of being hard enough to inspire you but never so hard that you want to quit.

When it comes to the curriculum, I graduated in November 2023, so I am sure some topics have shifted a little, probably more toward things like AI. But the way the course is structured is what makes it so powerful. In the first half you are getting new lectures every single day. It feels overwhelming and you might think you are not learning everything. Everyone feels that way. What you are really doing is collecting all the pieces of the puzzle. Then, when you hit the project stage, everything clicks. That is when your learning grows exponentially. I loved that stage and learned so much. It did not even hit me until I got my first job how prepared I really was. I realized I had skills that people already in the field were missing, like using the terminal and git properly. Trust the process because it works.

The job search stage was the hardest part for me. By that point I was already a little burnt out. But the great thing is Codesmith keeps supporting you even after you graduate. They offer resume reviews, interview prep, and career coaching. I had my resume reviewed twice and did four mock interviews. After my first mock interview with Alexander, one of the career coaches, I left with so many tips that every phone screen I had after that turned into a real interview. The support is there, you just have to take advantage of it.

Another part that surprised me was the community. I did not think it would matter much, but it ended up being one of the most important things. Your peers are the ones who help you through the tough moments, especially during the job search. I am also grateful to Eric who helped me negotiate my offers and guided me in the right direction.

Looking back, I would do it all over again. Codesmith gave me everything I needed to succeed and the support did not stop once the program ended. If you are serious about becoming a software engineer, this is the program to choose.

I am 6 months in with my course for Cybersecurity and so far everything has been amazing! the feedback that I get from the tutors for each project I had submitted helps me to work even more on my skills and be more confident, I recently had my first mock hr interview and julie gave me helpful feedback so when I get a real interview I feel more confident in telling my story, watching my tone and getting to the point. My love for the career path that I chose has been growing a lot more and I'm so excited to what the futures has for me after I get my certification and pass the comptia+ exam.

J'ai suivi en télé-présentiel la formation Data Essentials dispensée par Jedha Bootcamp. J'ai choisi cette école car sa pédagogie repose sur le lien élève/professeur parfois absent dans d'autres cursus data . Et j'avoue que je n'ai pas été déçu. Les profs sont au top. En seulement 2 semaines, on est capable de présenter un projet de machine learning. Mais il faut s'accrocher car la formation est intense. Avant l'entrée en formation, l'école invite les futurs élèves à se préparer grâce à des contenus en ligne sur leur plateforme (remise à niveau en maths, découverte de Python, bases de données SQL ...). Je recommande vivement cette école et le cursus suivi.

I chose NYC Data Science Academy after comparing several bootcamps because I wanted a truly project-driven program, instructors with real industry experience, and meaningful long-term career support. Compared with other options I looked at, NDA stood out for the depth of its hands-on projects and the practical focus of the curriculum — it wasn’t just theory, it was building end-to-end solutions I could put in my portfolio and talk about in interviews.

The experience was intense in the best and hardest ways. The instructors were excellent: knowledgeable, responsive, and able to translate complex concepts into practical steps. The projects were challenging and relevant, which rapidly improved my skills in data cleaning, exploratory analysis, visualization, machine learning workflows, and SQL/Python tooling. On the flip side, the program moves fast and some units felt very dense; group projects sometimes required extra coordination because teammates had different schedules and skill levels. Those challenges were real, but the payoff was worth it — I left with tangible projects, stronger technical confidence, and the ability to communicate results to nontechnical stakeholders.

I did not come from a statistics or data science background, so the bootcamp literally gave me the domain knowledge and hands-on practice I was missing. What genuinely moved me was the alumni support: even five years after graduating, NDA’s career services remained available and actively helpful with referrals, portfolio feedback, and job-search advice. That ongoing commitment made a lasting difference and is a big reason I recommend NYC Data Science Academy to anyone serious about switching into a data role.

I completed the Full-Stack Web & App Development Bootcamp at WBS Coding School and can highly recommend it.

This is true adult education: learning by doing, with the freedom to grow instead of being spoon-fed like in school. Instructors are always approachable and supportive when questions arise. Group work is strongly encouraged, making the learning experience both practical and collaborative.

An excellent environment to gain real skills for a career in tech!

I have recently graduated from the AI Ethics program. I found the course content and its structure excellent. I also really liked the amount of practical projects and the feedbacks received during project reviews. It was a truly interesting and enriching experience and even though the rhythm was intense, the structure was very encouraging me to keep up with the pace. Thank you Turing College for a great learning experience!

My experience throughout the course has been very insightful and rewarding. I’ve learned a lot from the lessons and practical tasks, which have helped me gain a better understanding of the subject. The support from the lecturers and student support team has also been great and very encouraging.

Although the course has been challenging at times, it has helped me grow and improve my skills. I’m grateful for the opportunity to learn and for the assistance I’ve received along the way.

Having already completed the Professional Diploma in Data Analytics at Big Blue Data Academy, an experience I was extremely satisfied with, I decided to continue my journey with the Data Engineering Bootcamp—and I’m glad I did. The program is intensive and covers a wide range of essential tools and technologies, from Python and SQL to Docker and Airflow, providing a strong foundation for anyone looking to transition into data engineering.

What stood out the most was the hands-on approach and the real-world orientation of the projects, which helped me consolidate my skills. At the same time, I appreciated the dedication of most instructors, many of whom are active professionals in the field. On the flip side, a few sessions felt less structured, with certain instructors assuming prior knowledge that beginners might not have—something that could be improved in future editions of the program. Also, while the bootcamp is quite demanding, especially if you are working full-time, this is something to expect from such an accelerated learning experience.

Another strong point of the program was the career support that came along with the training. Apart from the technical skills, we also had sessions dedicated to CV building, LinkedIn optimization, and interview preparation. What I personally found most useful were the individual discussions with instructors, where I received direct and practical feedback tailored to my own profile, as well as advice on how to approach the job market more strategically.

Overall, I would recommend this bootcamp to anyone who wants to build a solid entry point into data engineering, especially if they value a practical, project-driven approach combined with strong networking and career support opportunities.

I used Dataquest since 2019 and I double my income in 4 years and became a Data Scientist. That’s pretty cool! I’m sure other platforms could have also done the same thing but this is my experience. I don’t have any negative things to said and I’m pretty hard to satisfy so they are definitely doing the right things. I still have access to their platform since I purchased a lifetime membership years ago. I’ve finished the Data Science career pathway and now I’m running out of courses to take within DQ. I do wish they invest more in AI courses, e.g., large language models, deep learning, AI agent development, etc. Hopefully, someone will see this post and start creating more advanced course in AI. Long story short, great platform you won’t regret it!

The QA Manual Tester Bootcamp gave me a solid foundation in software testing. I learned how to create clear test cases, write detailed bug reports, and use tools like Jira and Zephyr effectively. The hands-on practice and structured approach helped me understand the QA process, though I see the need to continue into automation for long-term growth. Overall, it was a great starting point for building a QA career. 

Ho seguito i corsi Python for Data Science (Zero to Hero) e Data Science Starter Kit e ne sono rimasto entusiasta. Le lezioni sono limpide, ordinate e senza fronzoli: ogni modulo introduce i concetti con esempi comprensibili e li fissa con esercizi calati nella realtà (dataset “sporchi” da ripulire, scelta delle metriche, piccole pipeline da costruire). È materiale che ti porta davvero dalla teoria all’operatività.

Il plus più grande è la presenza dei docenti: rispondono in tempi rapidi ai commenti sotto i video e sono attivissimi nella community Discord, dove trovi confronto continuo, correzioni, suggerimenti tecnici e spunti di approfondimento. Questo accompagnamento costante fa la differenza: quando ti blocchi, arrivano feedback precisi e motivanti.

Punti di forza

Percorso chiaro e progressivo, spiegazioni passo-passo.

Materiali curati: slide pulite, notebook ben commentati, checklist e risorse per il ripasso.

Esercitazioni realistiche, progetti subito spendibili in azienda.

Supporto continuo: Q&A sotto le lezioni + Discord molto attivo.

Approccio hands-on: si impara facendo, non solo guardando.