Great Learning
Average Rating4.89
967 Reviews
23 Courses
Great Learning offers online, career-relevant programs from world-class universities in data science, artificial intelligence, machine learning, management, cloud computing, cyber security and design thinking. It was created in 2013 with the aim of making current professionals future-proof, and to help people gain practical skills in an ever-expanding field. Great Learning students receive weekly mentorship sessions with industry experts, hands-on experience with industry-relevant projects, and small class sizes.
Great Learning courses are aimed at career-changers and those looking to upskill. Applicants need to submit an online application to be considered for acceptance into the program.
967 Great Learning Reviews
Schools can't pay to alter or remove their reviews. Course Report never suppresses negative reviews
Sort by
Filter by
Mchiou El MehdiSoftware engineer • Student • Applied Data Science Program • OnlineJan 08, 2024Overall ExperienceInstructorsCurriculumJob AssistanceN/AA good jounery
This course gave me the foundation and tools I need to get back into the market as a Data Scientist.
I appreciate the quality of the instructors and the work materials. I also felt the effort made in the various projects carried out and I think that I can continue my learning with ease in this area.
The Great Learning team is fantastic and there is good support throughout the training.
- Dante CabreraStudent • Data Science and Machine Learning: Making Data-Driven Decisions • OnlineJan 07, 2024Overall ExperienceInstructorsCurriculumJob Assistance
Data Science and Machine Learning: Making Data-Driven Decisions
Enrolling in the MIT Applied Data Science Learning Program was an incredibly enriching experience. The curriculum's depth and breadth provided a comprehensive understanding of data science, offering a perfect blend of theoretical knowledge and practical applications. The hands-on projects and access to cutting-edge tools allowed me to develop a strong skill set. The guidance from renowned experts in the field ensured a challenging yet rewarding journey, making this program an invaluable ...Enrolling in the MIT Applied Data Science Learning Program was an incredibly enriching experience. The curriculum's depth and breadth provided a comprehensive understanding of data science, offering a perfect blend of theoretical knowledge and practical applications. The hands-on projects and access to cutting-edge tools allowed me to develop a strong skill set. The guidance from renowned experts in the field ensured a challenging yet rewarding journey, making this program an invaluable investment in my career growth. - Prashant BapujiData Science Professional • Graduate • Applied Data Science Program • OnlineJan 05, 2024Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Outstanding course - MIT PE - Applied data science
Excellent program offered by Great Learning in collaboration with MIT. The course material starting from pre-work to each module is very thorough, in-depth and provides extra materials (as web links) across to give more knowledge.
Mentor training was very useful, as it provided smaller group sessions with the industry experienced mentors and gave in-depth intuition behind ML algorithms.
Support staff (as in MIT session coordinators, program advisors, program managers) were very k...Excellent program offered by Great Learning in collaboration with MIT. The course material starting from pre-work to each module is very thorough, in-depth and provides extra materials (as web links) across to give more knowledge.
Mentor training was very useful, as it provided smaller group sessions with the industry experienced mentors and gave in-depth intuition behind ML algorithms.
Support staff (as in MIT session coordinators, program advisors, program managers) were very knowledgeable and helpful through out this challenging course.
I highly recommend this course offered by Great learning !! - Jeff SongerGraduate • No Code AI and Machine Learning: Building Data Science Solutions • OnlineJan 04, 2024Overall ExperienceInstructorsCurriculumJob AssistanceN/A
No code AI and Machine Learning
I participated in this course as an organizational leader and to develop an understanding and application for AI in the business environment. The course provided an excellent overview and history of machine learning and AI and proceeded to dive into very detailed learning exercises to help understand how AI can be used to solve multiple business problems. There was ample hands on opportunity to use various softwares without going too in depth with actual coding. Overall the instruct...I participated in this course as an organizational leader and to develop an understanding and application for AI in the business environment. The course provided an excellent overview and history of machine learning and AI and proceeded to dive into very detailed learning exercises to help understand how AI can be used to solve multiple business problems. There was ample hands on opportunity to use various softwares without going too in depth with actual coding. Overall the instructors and mentors were excellent. I would recommend this course to those looking for a great introduction to managers and future systems personnel who will have responsibility for implementing and utilizing no code tools. - Tim G CarmichaelBusiness owner / Consultant • Graduate • No Code AI and Machine Learning: Building Data Science Solutions • OnlineJan 02, 2024Overall ExperienceInstructorsCurriculumJob Assistance
No Code AI and Machine Learning Building Data Science Solutions
No Code AI and Machine Learning: Building Data Science Solutions
While the format of this course is condensed, it would be a misnomer to describe it as a primer, as it provides hands-on instruction and experience with ML based tools, which are both invaluable for those who wish to deploy AI and ML methods rapidly into their workflow, as well as those seeking to expand into more technical areas. Upon completing this course, students will have a fundamental unders...No Code AI and Machine Learning: Building Data Science Solutions
While the format of this course is condensed, it would be a misnomer to describe it as a primer, as it provides hands-on instruction and experience with ML based tools, which are both invaluable for those who wish to deploy AI and ML methods rapidly into their workflow, as well as those seeking to expand into more technical areas. Upon completing this course, students will have a fundamental understanding of how and when to apply AI and ML systems, what is involved in doing so, be able to evaluate and improve models towards a particular objective, and characterize the benefits and limitations of such systems. It is hard to overstate the value this skill set provides learners.
Structure
The courses are broken up into various modules that build on the skills and understanding gained through the previous. Each module features a précis and text & video format instruction, and live instruction with expert faculty. Great consideration is shown for workload to ensure that the pace is amenable to even the busiest schedules. The concerted efforts of MIT and Great Learning staff have created a well curated syllabus delivered through a perspicuous interface.
Resources and Faculty
No less impressive than the course and it's content are the incredible array of people and tools at the disposal of learners. I had the great experience of working with two amazing advisors who truly inspired me with their devotion to ensuring success. The platform makes provision for students to reach out to other students, faculty, and advisors readily, and multiple channels of communication are provided so that students stay apprised and on top of each step.
Tools & Skills
The program gives participants experience using powerful tools like RapidMiner and Dataiq so that they can immediately integrate their understanding in practice. Perhaps more importantly, the fundamental principals underlying the mechanisms and metrics of how these tools operate, such as linear regression, k-mean clustering, partial autocovariance functions, loss functions, et. al. are packaged like nested matryoshka dolls, ensuring that students receive the essential understanding, but allowing those interested a range of academic materials, links and resources to explore the topics at greater depth.
Value
This course is both an excellent first step into the realm of data science and ML AI applications or a concomitant to a robust technical background. While this course is not all encompassing, (it does not entail coded applications, nor is it a surrogate for an graduate degree), it's value in terms of utility is profound as most of the demand for AI and ML applications will be from small to mid-size companies that do not have the resources to commit special data science professionals and compute to their particular use cases and will need both guidance and rapidly deployable solutions of the type that are particularly amenable to the no code tools offered in this course.
I highly recommend this program and would like to express my sincere gratitude to the faculty and staff. - Janis KwokManager • Student • No Code AI and Machine Learning: Building Data Science Solutions • OnlineDec 06, 2023Overall ExperienceInstructorsCurriculumJob Assistance
No Code AI
Hi All
It is an amazing journey for me to learn with Great Learning
This course let me understand various kinds of machine learning and AI model.
There are many fruitful resources, and definitely you can get some insights for many industry
Also, there are mentored sessions that we can share industry experiences with our lecturer
ThanksGreat of Great Learning
Learning
Dec 10, 2023
Hi Janis, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :) - Oly RasamisonIT Consultant • Student • No Code AI and Machine Learning: Building Data Science Solutions • OnlineNov 30, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Great Learning- MIT No code Al ML reviews
One of the best training courses I have followed.
Very complete and very interesting.
Whether it was for the course content or the mentoring sessions, it was intense but really beyond my expectations.
This training actually requires at least 8 hours of personal work.
Ruchika Jain, my program manager, has always been kind and very understanding.Great Learning of Great Learning
Great Learning
Dec 01, 2023
Hi Oly, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :) - Ben PasleyGraduate • No Code AI and Machine Learning: Building Data Science Solutions • OnlineNov 26, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Excellent Learning Experience!
This was an excellent course of instruction - not only in content, but in terms of administration as well! Thank you Priyanka and all the instructors and mentors for your professionalism and dedication to helping all learners fulfill their goals in connection with this program of instruction.Great Learning of Great Learning
Great Learning
Nov 26, 2023
Hi Ben Pasley, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :) - Okezie NiboGraduate • Data Science and Machine Learning: Making Data-Driven Decisions • OnlineNov 23, 2023Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Great Learning Review
The delivery of the program was outstanding. The instructors were highly knowledgeable, engaging, and adept at conveying complex concepts in a clear and accessible manner. The program was impeccably organized, with a logical progression of topics that built upon one another. The scheduling of sessions allowed for a comfortable pace of learning, enabling participants to grasp intricate concepts without feeling overwhelmed.Great Learning of Great Learning
Great Learning
Nov 24, 2023
Hi Okezie Nibo, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :) - Carlos ReimersAssociate Professor • Graduate • No Code AI and Machine Learning: Building Data Science Solutions • OnlineNov 22, 2023Overall ExperienceInstructorsCurriculumJob Assistance
MIT No Code AI and ML
MIT No Code AI & ML Course
There is a lot of good to say about this course. It is both densely theoretical and heavily practical. Theory is really important to understand what is behind the scenes of AI and ML. It would be useless to just learn to handle software w/o this knowledge. Instructors are very good, but I think there is a lot to learn from Dr. Huettenegger style, both because of the precise content of his lectures, but also his concise language, as well as his clarity a...MIT No Code AI & ML Course
There is a lot of good to say about this course. It is both densely theoretical and heavily practical. Theory is really important to understand what is behind the scenes of AI and ML. It would be useless to just learn to handle software w/o this knowledge. Instructors are very good, but I think there is a lot to learn from Dr. Huettenegger style, both because of the precise content of his lectures, but also his concise language, as well as his clarity and emphasis on the right issues and moments. A really good instructor with a great lecturing style.
My industry Mentor (Denver Dias) was also precise in the mentoring sessions and on his answers to our questions. Overall, very good.
My Program Officer (Priyanka Kothari) was great in keeping us posted and updated of scheduled sessions and coming assessments and projects. She was also super attentive to our pace of learning and understanding of our other responsibilities (most, if not all learners, worked full-time).
The workload may seem heavy at times (most of the time). Easily 5 to 10 net hours/week of material to review (videos, handouts, presentations) plus 2 hours of mentored mandatory sessions and another 2 of non-mandatory practice per week. Everything is recorded, so it is accessible later if anything was missed or needs to be reviewed. Assessments are 15 to 30 minutes more (not a big deal) and projects can be heavy. Only three projects during the entire course, but between 10 and 20 hours of work each (it could just be me). Those were hard, but also rewarding "real" challenges.
Just one comment about the recorded lectures, their written transcripts were mostly word-by-word transcripts of the lecture including repetitions, unclear wording and everything that is common in an actual verbal presentation. These texts could be simplified. Editing those written transcripts for clear and clean language would be beneficial.
Overall, highly satisfied and amazed I got involved into such a long, deep, and hopefully transformative experience. Highly recommendable but be sure to be prepared for everything I described above.Great Learning of Great Learning
Great Learning
Nov 22, 2023
Hi Carlos Reimers, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :) - Kavindra YerolkarExecutive Data Leader • Student • No Code AI and Machine Learning: Building Data Science Solutions • OnlineNov 12, 2023Overall ExperienceInstructorsCurriculumJob AssistanceN/A
Great Learnings Review of AI/ML Data Science course
I am half way through the course and would like to say that this is a fantastic learning platform and setup. While there it's hard to match the MIT sessions & lectures, the Great learning Olympus platform is wonderful learning platform is a comprehensive learning platform that is very easy to use and provides great collaboration, course material, access to industry, talent and career paths too. Even better are the wonderful staff and support personnel who are very responsive and supp...I am half way through the course and would like to say that this is a fantastic learning platform and setup. While there it's hard to match the MIT sessions & lectures, the Great learning Olympus platform is wonderful learning platform is a comprehensive learning platform that is very easy to use and provides great collaboration, course material, access to industry, talent and career paths too. Even better are the wonderful staff and support personnel who are very responsive and supportive. I had great experience with my coordinator who helped me be on top of the course, provided flexibility in accomplishing my goals and responded to all the feedback on lectures with action. Loved it so far!Great Learning of Great Learning
Great Learning
Nov 14, 2023
Hi Kavindra, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :) - Michael RuckerStudent • No Code AI and Machine Learning: Building Data Science Solutions • OnlineNov 12, 2023Overall ExperienceInstructorsCurriculumJob Assistance
Great Learning
I started this course back in August in 2023. It was No Code AL/ML Leaning. Since, I started the program I have learning so much from the teachers and mentors at the school. I will be done the course in December 2023. This has helped my career go in a better direction. thank you, Great Learning and all your staff.
Michael RGreat Learning of Great Learning
Great Learning
Nov 14, 2023
Hi Michael, Thanks for the feedback. We prioritize learner experience and satisfaction, and your review reaffirms the hard work we put in every day. :)
Great Learning Alumni Outcomes
Recent Great Learning News
Jess Feldman
Updated November 01, 2023
This October, we saw new reports on how AI skills and apprenticeships affect hireability. We’re diving into AI skill adoption at coding bootcamps and how bootcamps could be poised to respond to the new AI skills gender gap. MacKenzie Scott continues to support tech training programs with a new $20M donation to a hardworking non-profit coding bootcamp. Find out about the state of tech apprenti...
Locations
Career tracks
Great Learning Alumni Reviews Summary
Overall Experience
4.9
Instructors
4.9
Curriculum
4.9
Job Assistance
4.6
More Information
Guarantees Job
Job Assistance
Includes Housing
Offers Corporate Training
Accepts GI Bill
Recent Great Learning News
By Jess Feldman
FAQs
How much does Great Learning cost?
Great Learning costs around $4,000.
What courses does Great Learning teach?
Great Learning offers courses like Advanced Digital Marketing and Growth Strategies, Applied Data Science Program, AZ - 900 - Microsoft Azure Fundamentals Training Program, CompTIA Security+ Bootcamp and 19 more.
Where does Great Learning have campuses?
Great Learning teaches students Online in a remote classroom.
Is Great Learning worth it?
Great Learning hasn't shared alumni outcomes yet, but one way to determine if a bootcamp is worth it is by reading alumni reviews. 967 Great Learning alumni, students, and applicants have reviewed Great Learning on Course Report - you should start there!
Is Great Learning legit?
We let alumni answer that question. 967 Great Learning alumni, students, and applicants have reviewed Great Learning and rate their overall experience a 4.89 out of 5.
Does Great Learning offer scholarships or accept the GI Bill?
Right now, it doesn't look like Great Learning 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 Great Learning reviews?
You can read 967 reviews of Great Learning on Course Report! Great Learning alumni, students, and applicants have reviewed Great Learning and rate their overall experience a 4.89 out of 5.
Is Great Learning accredited?
While bootcamps must be approved to operate, accreditation is relatively rare. Great Learning doesn't yet share information about their accreditation status.