MIT xPRO | Bootcamps
Average Rating4.61
190 Reviews
7 Courses
MIT xPRO offers online Professional Certificates in Full Stack Development with MERN (26 weeks), Cybersecurity (24 weeks), Data Science and Data Analytics (24 weeks), and Technical Project Management (21 weeks). The bootcamps require a time commitment of 15-20 hours per week, and are designed for recent graduates, career changers, and professionals looking to upskill their career. The bootcamps include a capstone project that can be shared with potential employers.
No prerequisites are required to apply for the bootcamps, but a capacity for technical concepts is recommended.
Students will receive career coaching and expert mentorship throughout the program.
Financing options including deferred payments may be available.
MIT xPRO Professional Certificate Bootcamps is powered by Emeritus.
190 MIT xPRO | Bootcamps Reviews
Schools can't pay to alter or remove their reviews. Course Report never suppresses negative reviews
Sort by
Filter by
- CHITRAMALINI SATHIRAJUGraduate • BostonVerified by LinkedInDec 04, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Great Learning- MIT No code Al ML Review
It was a great learning environment. The team was very supportive in clearing the doubts and assisting with access issues. They were proactively supporting us by reminding us of the deadlines of our assignments and projects. The teachings were delivered by well-versed and experienced lectures with practical learning. Well-arranged systematic material, demonstrating videos, handouts, and master instant sessions, are greatly useful for various learners.
- ArunStudent • OnlineVerified by LinkedInDec 01, 2023Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Overall learning experience was very good
The program managers were very helpful throughout the journey, mentors were approachable knowledgeable, entire great learning team were doing a great job, I'm happy I chose great learning as a learning partner. - Rao SadhureddyStudent • OnlineVerified by LinkedInNov 16, 2023Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Incredible learning experience, very informative, complex topics simplified
I attended the "MIT- NO CODE AI AND MACHINE LEARNING-AUGUST 2023-C" course offered by Great Learning team. I wasn't sure if I would be able to do the course given the complexity of the AI/ML topics. But the faculty, the program manager made the process really smooth with support at any given time of the day. What I really liked about the course is that the video lectures are backed by a lot of supporting material and the weekly sessions revised by mentors. The course really built confid...I attended the "MIT- NO CODE AI AND MACHINE LEARNING-AUGUST 2023-C" course offered by Great Learning team. I wasn't sure if I would be able to do the course given the complexity of the AI/ML topics. But the faculty, the program manager made the process really smooth with support at any given time of the day. What I really liked about the course is that the video lectures are backed by a lot of supporting material and the weekly sessions revised by mentors. The course really built confidence in me as I am able to freely converse about AI models, Neural networks deep learning, and NLP. The course has given me the platform to take the learnings and apply in my day to day work. I am super grateful to all the world class faculty who not only taught via video lectures but also in the weekly mandatory sessions. I also want to Thank my program manager Ms. Shruti Prakash for her relentless support. - James SchultzSystems Test Engineer • Graduate • OnlineVerified by LinkedInOct 31, 2023Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Non-Programmer to Programmer
I started the Machine Learning and Data Science with Python course as a student with 0 experience programming with real and existing language. The course raught me Python and helped me understand how machine learning worked with the many self driving companies I've worked with. Program Manager was patient with my full time work deadlines and helped me complete the program. - Gabriela TodorovaStudent • OnlineVerified by LinkedInJul 25, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Great structure
The program was structured very well, started off with the very basics and ended up with pretty high-level concepts. Ishwor Bhasal was a great professor and I was looking forward to the live classes every week. The program manager (Glory) was extremely helpful, wouldn’t have made it without her! Overall, great class, totally recommend! - Deepikaa SriramStudent • OnlineVerified by LinkedInJun 19, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Excellent program with supportive mentorship
The program was excellent. Fair warning, it was quite intense with classes 5x/week, multiple projects, and weekly quizzes. However, the content is structured very well and I learned a LOT in a short amount of time. The program advisor Mariam is responsive and helpful in accommodating my requests/questions. The faculty is of course brilliant. My mentor Eshan was also very knowledgeable and supportive. If you're looking to upskill or pivot careers, I highly recommend this course. - Vasan PapanasamData Science Asset Owner • Student • OnlineVerified by LinkedInJun 14, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Applied Data Science @MIT - Excellent Program!
I gained knowledge, skills and experience that is helping with my career. The additional skills I gained is helping me with problem solving and has increased my confidence. My program manager Mariam was very timely with information and reminders that helped me stay on top. My sincere thanks to Mariam! Thanks to MIT and Great Learning for such a great program!
Thanks,
Vasan Papanasam - Blessed TakavarashaIndustrial automation systems integrator • Graduate • Professional Certificate in Data Engineering • OnlineVerified by LinkedInJun 14, 2023Overall ExperienceInstructorsCurriculumJob Assistance
My proverbial great Learning with MIT”s IDSS and Great Learning
MIT IDSS and Great learning’s data science and machine learning course is an excellent 12 week course that gets you on your toes within the first two weeks into the course. The online tutorials are both thorough and quite engaging.
If you have a daytime job be sure to work extra hard to keep up with the ever looming deadlines for submitting weekly exam quizzes and projects after completing each module.
There is also some mandatory weekend mentorship sessions. Although t...MIT IDSS and Great learning’s data science and machine learning course is an excellent 12 week course that gets you on your toes within the first two weeks into the course. The online tutorials are both thorough and quite engaging.
If you have a daytime job be sure to work extra hard to keep up with the ever looming deadlines for submitting weekly exam quizzes and projects after completing each module.
There is also some mandatory weekend mentorship sessions. Although they are recorded for if you fail to attend . I personally ensured that I attended 100% of the time. This is really important as it gets you the opportunity to engage with industry experts . You also get the opportunity to ask questions and get clarifications on issues you may have missed or didn’t quite understand. Additionally the mentorship approach is structured in such a way that it fills like you’re breaking new ground into some subtle familiarities.
Their Program coordinators are very professional and accommodating. You can approach them for any questions clarifications or doubts. They always find ways to address your concerns .
The prerecorded lectures conducted by MIT professors somewhat make you feel like you’re on campus. I am proud with myself for taking this course. I would greatly recommend it to anyone who wants to learn from the best in the field of Data science and machine learning. - carlos alberto sancez hormazaDr. • Graduate • OnlineVerified by LinkedInJun 11, 2023Overall ExperienceInstructorsCurriculumJob Assistance
worth doing
My great learning experience of data science and machine learning was excellent. I consider the staff quality, the lectures and the handouts to be top in the world. I always felt supported by the MIT staff, my WhatsApps were quickly answered whenever I had a question, and the weekly lectures were very important to clarify my doubts. I am very sure that I will continue taking more courses. Learning is a lifelong exciting road - Ping FDirector of Data Management • Applicant • OnlineVerified by LinkedInApr 29, 2023Overall ExperienceInstructorsCurriculumJob Assistance
It is an excellent practical hands-on bootcamp!
I recently completed a data science bootcamp program and I must say, it was an incredible experience. The course design was well-structured and the practical, hands-on approach to using Python was extremely effective. The techniques that were taught were up-to-date and could be easily applied to real-world business scenarios.The instructors and mentors were patient and always willing to address any questions or concerns that arose during the program. The program manager was al...I recently completed a data science bootcamp program and I must say, it was an incredible experience. The course design was well-structured and the practical, hands-on approach to using Python was extremely effective. The techniques that were taught were up-to-date and could be easily applied to real-world business scenarios.The instructors and mentors were patient and always willing to address any questions or concerns that arose during the program. The program manager was also extremely helpful in coordinating schedule changes and assignment submissions to ensure a positive course experience and ultimate success.Overall, I highly recommend this data science bootcamp program to anyone looking to expand their skills and knowledge in this field. Additionally, if advanced and continuous course options become available, I would definitely consider taking them to further enhance my skills. - Luciana MachadoSenior Research Scientist • Graduate • OnlineVerified by LinkedInApr 18, 2023Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Mastering Python and Beyond with MIT's Program
As a senior researcher with over 15 years of experience in academia, I have found the Applied Data Science Program offered by MIT Professional Education, in collaboration with Great Learning, to be an exceptional learning experience. The program delivers a comprehensive and well-rounded understanding of data-driven business decisions and has enabled me to significantly upgrade my data analytics skills, including mastering Python. The meticulously designed curriculum covers essential topi...As a senior researcher with over 15 years of experience in academia, I have found the Applied Data Science Program offered by MIT Professional Education, in collaboration with Great Learning, to be an exceptional learning experience. The program delivers a comprehensive and well-rounded understanding of data-driven business decisions and has enabled me to significantly upgrade my data analytics skills, including mastering Python. The meticulously designed curriculum covers essential topics such as machine learning, data visualization, time-series analysis, recommendation systems, and deep learning, striking a balance between theoretical knowledge and practical application. The live virtual classes and mentorship sessions are led by top MIT faculty members and industry experts, ensuring both academic rigor and industry relevance. The knowledge I have gained from this program will undoubtedly be instrumental in my future endeavors. I highly recommend this program to professionals seeking to expand their data science expertise and make a positive impact in their organizations. 
Lawrence McDanielFull Stack Developer • Graduate • OnlineVerified by GitHubNov 22, 2022Overall ExperienceInstructorsCurriculumJob AssistanceN/AMIT IDSS Data Science certification
In Nov-2022 I completed the Fall MIT IDSS Data Science certification, operated by Great Learning (https://www.mygreatlearning.com/). This is a good course for anyone aspiring to learn how to implement popular machine learning and AI techniques using current state of the art technologies such as Python and Google Colab. The course is an ideal blend of theory and hands-on projects and workshops that combined, will help anyone who is already proficient with elementary discrete mathematics a...In Nov-2022 I completed the Fall MIT IDSS Data Science certification, operated by Great Learning (https://www.mygreatlearning.com/). This is a good course for anyone aspiring to learn how to implement popular machine learning and AI techniques using current state of the art technologies such as Python and Google Colab. The course is an ideal blend of theory and hands-on projects and workshops that combined, will help anyone who is already proficient with elementary discrete mathematics and object-oriented programming. There were approximately 350 enrolled students in my class broken into two cohorts by time-zone. A majority of my classmates appear to have readily understood the theory, but struggled with programming assignments. Thus in hindsight, I'd strongly recommend that you consider a beginner/refresher Python programming course prior to enrolling in this course.
The lectures consist entirely of online pre-recorded videos, along with copious curated collections of supplemental reading materials; nearly all of which are freely available on the web. There are a total of around a dozen lecturers, all of whom are MIT faculty and fellows of the Institute for Data Science & Society (IDSS). The faculty team is unequaled not only in their understanding of the course content but also in their collective ability to communicate complex subject matter in a way that nearly anyone can easily understand. They are in a word: gifted.
You'll learn the following in this course: analyzing structured and unstructured data, classification systems, predictive analytics, AI deep learning, recommendation systems, and some basic graph theory. The subject matter and examples are on par with the current state of the art that you see in large Internet platforms like Amazon.com and Netflix as well as inside industry leading academic research platforms like Broad Institute.
If you apply yourself then this course is a one-stop shop to catapult yourself into the current vanguard of machine learning and AI.
Good:- The faculty. I learned from the world's greatest minds in ML and AI. Every instructor is inspiring, is exceptionally well-informed in their field, and demonstrate extraordinary communication skill.
- Mentors and Live Sessions. Great Learning provides semi-weekly live group video mentor sessions via Zoom. The mentors are as knowledgeable as the instructors, if not more so, largely because they all come from industry and thus are currently-practicing professionals.
- Code samples. You'll acquire a very nice library of working Python code for every subject covered in the course. I can't overstate the usefulness of these code samples.
- Networking. I met several dozen kindred spirits during this course. My colleagues were all, and without exception, bright and talented minds whom I'm grateful to have had the opportunity to meet and to stay in contact.
- Web platform. Great Learning has a proprietary online learning management system (LMS) that, while not without its shortcomings (see below), is fundamentally a robust and full-featured system that is mostly intuitive and easy to use.
Bad:- Basic organization. The course lacked a concrete syllabus, with dates & times of lectures, homework assignments, and other graded activities. The course content remains in a locked state until you arrive to the date upon which someone at Great Learning decides that its time for you to gain access. After completing around half the course I finally figured out the rhyme to this insanity. Why anyone would lock content that you already paid for is anyone guess, but from a learner's perspective it's a galactically stupid policy.
- Required video sessions at weird hours. The mentors, as good as they truly are, ought to be valuable **optional** resource for learners. but that is not the case. Whether you need help or not, the live video mentor sessions are not only mandatory but your attendance in these sessions factors into your final course grade. If that wasn't bad enough, the session themselves were held at extremely peculiar hours like say, on Sunday mornings at 7:00am, lasting for 2.50 hours. Furthermore, Great Learning was generally awful at basic communication like say, in communicating when these sessions would be held, if at all. These, in my case pointless, video sessions were the bane of my existence for the duration of this course. They complicated my business travel logistics to no end, and frequently ruined my family plans. And lastly, the live mentor sessions were generally held after I'd already submitted my graded homework/quiz, making them even more pointless in my case.
MIT xPRO | Bootcamps Alumni Outcomes
Recent MIT xPRO | Bootcamps News
Jess Feldman
Updated April 01, 2021
Course Report · Course Report Coding Bootcamp News Roundup - March 2021
We’re wrapping up March, which is Women’s History Month, so it’s only appropriate to share media coverage about the women-in-tech initiatives and scholarships at coding bootcamps. Over at the Course Report office, we published our Alumni Outcomes & Demographics Report in March and it offered key insights into how...
Locations
Career tracks
Contact
MIT xPRO | Bootcamps Alumni Reviews Summary
Based on 70+ MIT xPRO | Bootcamps alumni reviews on Course Report, alumni praise the comprehensive curriculum, hands-on projects, and mentorship from industry professionals. In particular, reviewers rate the Professional Certificate in Coding: Full Stack Development with MERN very highly. One review highlights, "The course design was well-structured and the practical, hands-on approach to using Python was extremely effective." However, some reviews suggest that the programs might be challenging for beginners without prior programming experience.
Overall Experience
4.6
Instructors
4.6
Curriculum
4.6
Job Assistance
4.3
More Information
Guarantees Job
Job Assistance
Includes Housing
Offers Corporate Training
Accepts GI Bill
Recent MIT xPRO | Bootcamps News
By Jess Feldman
FAQs
How much does MIT xPRO | Bootcamps cost?
MIT xPRO | Bootcamps costs around $9,500. On the lower end, some MIT xPRO | Bootcamps courses like Professional Certificate in Coding: Full Stack Development with MERN cost $6,950.
What courses does MIT xPRO | Bootcamps teach?
MIT xPRO | Bootcamps offers courses like Professional Certificate in Coding: Full Stack Development with MERN, Professional Certificate in Coding: Full Time, Professional Certificate in Cybersecurity, Professional Certificate in Data Engineering and 3 more.
Where does MIT xPRO | Bootcamps have campuses?
MIT xPRO | Bootcamps teaches students Online in a remote classroom.
Is MIT xPRO | Bootcamps worth it?
MIT xPRO | Bootcamps hasn't shared alumni outcomes yet, but one way to determine if a bootcamp is worth it is by reading alumni reviews. 190 MIT xPRO | Bootcamps alumni, students, and applicants have reviewed MIT xPRO | Bootcamps on Course Report - you should start there!
Is MIT xPRO | Bootcamps legit?
We let alumni answer that question. 190 MIT xPRO | Bootcamps alumni, students, and applicants have reviewed MIT xPRO | Bootcamps and rate their overall experience a 4.61 out of 5.
Does MIT xPRO | Bootcamps offer scholarships or accept the GI Bill?
Right now, it doesn't look like MIT xPRO | Bootcamps offers scholarships or accepts the GI Bill. We're always adding to the list of schools that do offer Exclusive Course Report Scholarships and a list of the bootcamps that accept the GI Bill.
Can I read MIT xPRO | Bootcamps reviews?
You can read 190 reviews of MIT xPRO | Bootcamps on Course Report! MIT xPRO | Bootcamps alumni, students, and applicants have reviewed MIT xPRO | Bootcamps and rate their overall experience a 4.61 out of 5.
Is MIT xPRO | Bootcamps accredited?
While bootcamps must be approved to operate, accreditation is relatively rare. MIT xPRO | Bootcamps doesn't yet share information about their accreditation status.