The course is interesting
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
Great Learning is exceptionally well-rated by customers. Customers particularly appreciate professional and quality, though some mention concerns about customer service and communication.
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
I recently finished a 4-month course "Data Science – AI/ML No-Code Tools" from Great Learning (MIT), and it was even better than I expected. The course is designed for professionals, including those in leadership roles, and is accessible even to individuals without a coding background. It was well-structured and easy to follow. It included video lessons you can watch at your own pace, live sessions with mentors to clear doubts, and hands-on practice using tools like RapidMiner and KNIME. There were also lots of real-life examples to help apply what you learn. The content was great, everything ran smoothly, and the program coordinators were very supportive. I highly recommend it!
The course is well designed, challenging and definitely covers a great deal of content. Though quick paced, the projects give us real world problems and good experience solving them. I am enjoying the course, with a sense of accomplishment as I move forward with every module!
It covered all the fundamentals from data science to deep learning, followed up by a rich set of projects/tasks that puts yout knowledge to work.
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The No Code AI and Machine Learning course offered by Great Learning, in collaboration with MIT, is designed for working professionals. The course’s pace is manageable, and the instructors are subject matter experts. The course assessments and projects are aligned with practical experiences and applications. Upon completing the course, participants should have a solid understanding of how data science and machine learning algorithms are utilized in solving real-world problems.
Date of experience: June 16, 2025
US
The content was appropriate for the course. Technology was well utilized to provide recorded sessions, live sessions worked well and the assignments had flexibility in submission ( suitable for working professionals) . Tech support and communication was very good and any challenges faced was resolved quickly. The one area that I would like to see an improvement is the communication skills of instructors. Sometimes they try to talk too fast or cover a lot of subject matter in a short time . So, feel a little rushed. Also, there is a mentoring session in the middle of the week and day, not ideal for working folks as we have many meetings that can’t be skipped. Overall a good course that is highly recommended.
Date of experience: June 16, 2025
Participating in the *No Code AI and Machine Learning: Building Data Science Solutions* course has been a transformative experience that deepened my understanding of how powerful AI solutions can be built and deployed without writing a single line of code. We covered complex topics such as supervised and unsupervised learning, neural networks, NLP, and time series forecasting through intuitive, visual tools and hands-on case studies. Having exposure to platforms like RapidMiner, KNIME, and Teachable Machine helped me grasp how end-to-end workflows—from data preprocessing to model deployment—can be managed by domain professionals with no coding background. I'm truly grateful for the opportunity to learn from this course, as it not only enriched my AI fluency but also expanded the way I think about accessibility and inclusion in tech. The ability to prototype and deploy AI models quickly opens doors for innovation across legal, financial, and educational spheres—areas I'm deeply passionate about. This learning will undoubtedly help me build more accessible tools, mentor teams more effectively, and continue bridging the gap between cutting-edge technology and real-world impact. It’s an exciting step forward in my journey.
Date of experience: June 16, 2025
US
The course was well organized and the structure made it easy to follow. The video lectures were easy to understand and of high quality, and the weekly mentor sessions were enhancing the knowledge. The course covered a wide range of AI topics and provided me with new perspectives and insights on how AI can drive business value.
Date of experience: June 15, 2025
If you want to have a deep understanding of Data Science and AI without getting too much into details and coding, this is the perfect training content. Very well organised and structured with the inclusion of concrete case studies and learning applications through projects submission. But what I liked most was the fantastic support and follow up we got from our coaches to ensure a successful journey! Kudo to all the teachers, coaches and organisers !!!
Date of experience: June 15, 2025
The interactive teaching methods deployed facilitated great learning.With an awesome support staff willing to go the extra mile, learning at Great Learning is a commendable and recommendable experience.
Date of experience: June 15, 2025
Great Learning is really great in providing the advanced knowledge on PGPCC both in the video lessons by experienced teaching community and in the learning sessions for the clarification of doubts is really awesome.
Date of experience: June 14, 2025
I am thoroughly enjoying the program. The content is well-structured, and the instructors are knowledgeable and make the discussions simple to understand, providing practical examples. The platform is user-friendly, and the learning experience is practical, focusing on real-world applications that align with my professional goals. The program has significantly boosted my confidence in prompting and generating the outputs I need, making me more efficient. The UT Cloud Computing program, in particular, helped me understand cloud and DevOps, including using AWS, setting up servers, and building projects. The lessons were easy to follow, and the support, especially from Mr. Samad, was excellent. I now feel more confident applying for tech internships and recommend this program to anyone seeking a cloud career.
Date of experience: June 14, 2025