Futurense Technologies レビュヌ 

36
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TrustScore 5段階評䟡の3.5

3.7

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5぀星のうち5の評䟡

I really liked the way the focus was on explaining the whys and hows of AI rather than just tutoring about the tools. I feel confident with any new AI tool that will come in future, because I have lea... もっず芋る

5぀星のうち3の評䟡

First year was okay. Only first semester was satisfactory. All other semesters were cmpltd fastly without making sure course per sem is cmpltd or not. 3 semesters were cmpltd in 1 yr which was not sat... もっず芋る

5぀星のうち3の評䟡

The course is decent overall and can be considered if you are looking for a structured learning program. The content is useful in parts, although the experience may vary depending on the faculty a... もっず芋る

䌁業情報

  1. 技術研究所

圓該䌁業による蚘述

Futurense is India’s fastest-growing AI skilling company — transforming how the country learns and works in AI and deep tech through programs built with world-class universities and enterprises, positioning India to lead the global AI revolution.


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3.7

たあたあ

TrustScore 5段階評䟡の3.5

36件のレビュヌ

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3.7

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5぀星のうち3の評䟡

The course is decent overall and can be


The course is decent overall and can be considered if you are looking for a structured learning program. The content is useful in parts, although the experience may vary depending on the faculty and class. The course also provides learning resources that can be referred to alongside the sessions.

The overall experience could be improved further, especially in terms of class scheduling, communication and management. If you are considering enrolling, it would be good to understand the course structure, class timings and what is actually included before making a decision.

Overall, it can be a reasonable option for someone who is looking for a guided learning experience, provided the course expectations are clear beforehand.

2026幎9月26日
5぀星のうち1の評䟡

I enrolled in FDE Academy's FDE course


I enrolled in FDE Academy's FDE course and would not recommend it. Lectures jump straight into advanced topics, and the basics are never covered. There are 10–12+ instructors who aren't coordinated with each other. Students are tested only after paying, then split into groups, with no fundamentals sessions for those who need them. Support is poor, and you have to chase them for everything. After 8–10 months they're still fixing the course based on student feedback, so it feels like we're paying to be test subjects. As far as I know, nobody from Cohort 1 or 2 has been placed. In my experience, the focus is on admissions, not learning.

2026幎8月2日
自発的なレビュヌ
5぀星のうち3の評䟡

I have taken the FDE course

I have taken the FDE IIT Roorkee course, so at the start the course was pretty basic with fundamentals and kind of a bit boring i guess because of mostly theoretical things but last 1 month it was great learning when they moved to actual problems (even the professor was changed in last month)

2026幎8月28日
5぀星のうち3の評䟡

Total study experience

First year was okay. Only first semester was satisfactory. All other semesters were cmpltd fastly without making sure course per sem is cmpltd or not. 3 semesters were cmpltd in 1 yr which was not satisfactory. In 2nd year, I hd more hope but management was not good.

2026幎1月16日
自発的なレビュヌ
5぀星のうち2の評䟡

Current Curriculum Does Not Meet Industry Expectations

I would like to share my honest feedback about the curriculum based on my experience.

The curriculum is highly academic and subject-oriented, but it lacks practical relevance to real-world Data Engineering work. Most of the content focuses on theory, assignments, minor exams, major exams, and viva sessions rather than developing industry-ready skills.

As working professionals, we enrolled in this program expecting to gain practical knowledge that would help us perform better in our current roles and prepare us for Data Engineering interviews. Unfortunately, the course has been more about meeting assignment deadlines and preparing for exams than learning skills that are actually used in day-to-day projects.

Despite spending significant time on assignments, exams, and viva, many of us still struggle to clear Data Engineering interviews or confidently handle real-world scenarios in our organizations. The curriculum does not adequately cover practical topics such as production-grade data pipelines, cloud platforms, orchestration, optimization, troubleshooting, performance tuning, CI/CD, monitoring, and real business use cases that employers expect experienced professionals to know.

The continuous cycle of assignments, minors, majors, and viva created unnecessary pressure and stress, leaving very little time to focus on acquiring practical skills. It often felt like the program was designed primarily to satisfy academic requirements for an M.Tech degree rather than to help professionals become better Data Engineers.

For experienced professionals, the current curriculum is not aligned with industry expectations. An IIT degree certainly has value, but without practical, job-oriented knowledge and hands-on skills, the degree alone does not improve employability or career growth.

I strongly recommend redesigning the curriculum to focus more on:

* Industry-relevant projects based on real business scenarios.
* Hands-on implementation using modern Data Engineering tools and cloud platforms.
* Interview-oriented preparation and system design.
* Production-level troubleshooting and optimization.
* Less emphasis on repetitive academic assignments and examinations, and greater emphasis on practical learning and skill development.

I genuinely hope this feedback helps improve the program for future batches. The reputation of IIT is excellent, but the curriculum should also ensure that students graduate with the practical skills needed to succeed in the industry, not just with a degree.

2026幎6月5日
自発的なレビュヌ

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