My husband and I both took programs from Magnimind, and they were very flexible with us. We were both switching careers. Although I came from an analytical background, I was new to programming and data science.
Magnimind provided very in-depth knowledge and also gave us access to structured programs and additional mini bootcamps to strengthen our background. I also joined the mentorship program.
During my internship, I worked with a team on building LLM-based solutions for a company. I received great support from both the company team and Magnimind mentors while building specific models and end-to-end solutions. That experience really helped me gain practical skills and eventually helped me get a position in Silicon Valley.
When I started, I was not very confident in myself, but throughout the program I gained that confidence. The mentors were not only good trainers, but also very good motivators who provided in-depth guidance when I needed it.
FU
Fatih ugur O.
I started in this field
I started in this field completely new. My background was in physics education, although I was not as strong technically as engineers or theoretical/applied scientists (physicists).
I connected with Magnimind and first took the Full-Stack program, and then I joined the Mentorship Program. All the faculty were pretty good. Dr. Ceran especially is really good at teaching. His reasoning and understanding of fundamental knowledge are very strong. He also gave me different approaches when I struggled to understand certain topics.
The mentorship part was pretty good. I was first given one-on-one mentoring. Later, I worked with mentors and also with teams at one of the affiliated companies. The company I worked with was a startup with Stanford connections. The team leads gave us many diverse tasks, where we learned much more than I think many junior developers normally get a chance to experience. That helped shape my job perspective and understand what companies expect.
I had many job interviews during this process, and I checked in with both my technical mentors at Magnimind and the company I was working with. It was a tremendous help to go through interview questions, technical issues, and get their feedback.
I should say that it took me longer than some other students to find a job, especially because my background was more beginner-level in this field. However, I eventually found a great job and have moved to different positions over the past couple of years. Now, I am working at a FAANG-affiliated company.
One of the things I liked most was the personalized support from Magnimind. Most of the mentors were accessible to us, and having people I could reach out to when I needed technical or career guidance was very valuable for me.
SG
S.G.
Zero accountability, little care for the trainees
After enrolling in Magnimind Academy’s mentor-led data science program and internship, my overall experience has been a profound disappointment due to a rushed learning environment, a complete breakdown in the capstone phase, and dismissive leadership.
If you are enrolling expecting an effective learning environment and the high-value Silicon Valley internship they advertise, be prepared for a completely different reality:
I should start by saying I consistently received positive feedback from all the instructors, and they told me that I was making great progress and preparing very well for each session.
The program markets real-life project experience through partner company affiliations in Silicon Valley. In practice, my placement suffered from a two-month administrative delay, only for the initial instructor to drop out and cancel all classes after just 4 or 5 sessions.
The replacement instructor was not working for the promised company, lived overseas, and faced language barriers. These made professional instruction challenging.
When these structural failures and lengthy delays are brought to leadership, the response is stunningly tone-deaf. Rather than taking responsibility, the CEO deflects blame, even reprimanding students for actively following up, and dismisses valid concerns with the excuse that "there are pros and cons to work with me" and “no one offers this” instead of offering real accountability.
The program collects a steep tuition upfront ($7,000) backed by strict non-refundable clauses after the first 10 days, yet it completely fails to deliver on its core commitments. Prospective students should save their time and money and look elsewhere.
Response from Magnimind AcademySep 8, 2026
We are sorry that S.G. ultimately felt dissatisfied with his experience. However, we believe this review presents an incomplete picture of a program in which he participated extensively for more than a year.
Throughout the program, S.G. received substantial technical training, project support, and mentorship. Our records include more than 40 mentor sessions across the program, together with recordings and related academic communications. During the program, he also received positive feedback regarding his preparation and technical progress — something he acknowledges in his own review.
We recognize that there were challenges, scheduling changes, and transitions during the advanced project phase. We do not dismiss the frustration that delays can create. At the same time, the extended project timeline also resulted in a longer period of technical engagement and project-based experience than would normally be available in a shorter, fixed-duration project arrangement. In some circumstances, sustained involvement over a longer period can itself be professionally valuable because it gives a participant more time to develop, discuss, and document substantive technical work.
When personnel or scheduling changes occurred, Magnimind continued working to provide technical mentorship, project guidance, and alternative support rather than simply ending the participant’s access to the program.
We also believe professional communication requires reasonable boundaries for both participants and mentors. Our records show repeated attempts to contact an individual mentor outside the normal scheduled communication process, including 13 calls to the same mentor on a Sunday evening beginning around 5:10 p.m. We understand that participants may become frustrated when waiting for answers, but mentors and staff must also be able to maintain appropriate professional boundaries.
There is also important context missing from the review. In his subsequent correspondence, S.G. has acknowledged that earlier phases of the program were delivered and has specifically asked Magnimind to verify his program participation, completed phases, and project work for prospective employers. In our view, this is relevant context when evaluating an overall one-star portrayal of the program. While there is a genuine disagreement concerning aspects of the final project phase, substantial training, mentorship, and project work were completed and are considered professionally relevant enough by the participant himself to request verification for future employment purposes.
For these reasons, we strongly disagree with the characterization that Magnimind showed “little care” or provided no meaningful accountability. Considerable time and resources were devoted to S.G.’s training, mentorship, projects, and continued support.
There is now a private dispute regarding certain aspects of the final project phase and the appropriate resolution. Because legal and regulatory matters have also been raised, we do not believe a public review platform is the appropriate place to publish detailed academic records, private communications, or the parties’ legal positions. Those matters are being addressed through the appropriate process.
We remain committed to learning from legitimate feedback and improving our programs. At the same time, we believe public reviews should fairly reflect the entirety of the experience, including the substantial training, mentorship, project work, and extended technical support that were successfully provided.
AJ
AJ
Agentic AI Bootcamp
Hello, thank you for the sessions. Overall, the faculty’s enthusiasm and knowledge sharing were amazing. They were very patient in answering questions and encouraging engagement. I felt that the first 3-4 weeks were more focused on NLP basic concepts. The bootcamp title was “Agentic AI,” but it turned out to be an NLP class in the first 3 classes. I understand that people may not have required a background in NLP, but it would have been beneficial to provide exercises every week so that we could practice regularly. Additionally, it would have been great to share popular publications on agentic AI. In my opinion, from the first class, we should have focused on agentic AI frameworks and how to use them, as this was only discussed in the last class.
BS
Balint S.
Excellent introduciton to the world of…
Excellent introduciton to the world of LLMs, definitely lowered the barrier to start working on these - doing a capstone project to bring together what we learnt was the best part
IN
Indu
Most of the sessions were great with…
Most of the sessions were great with different flavor.
Little bit of an extended session would have triggered much more addition to Magnimind.
I would suggest at least one more session on Agentic AI would.
Rest the best teaching and explanation by Yasin and Semi Hasaj
Indu
SZ
Sadullah Ö.
Agentic AI and LLM Bootcamp
I have taken Agentic AI and LLM Bootcamp from Magnimind Academy. I have learned LLM Fundamentals, LLM Training, Retrivial-Augmented Generation(RAG), Prompt Engineering and especially creating AI Assistant by myself. The panelists are very well-equipped, organized and helpful. They helped us to understand the concepts thoroughly and shared their experiences along the way and gave directing advises on the project. I can confidently advise the ones to start new career in this field to get the training from Magnimind professionals. I think, they are the best.
HJ
Hernan J.
Super webinar to learn and practice
Super webinar to learn and practice, step by step.
Please share material and use cases, thats the real goal to cover most of time
Thnks!
