No Code AI and Machine Learning: Building Data Science Solutions Reviews

The no-code AI/ML course offered an accessible and empowering introduction to complex technologies, making it easy for me to grasp and apply AI/ML concepts.The course's practical approach and hands-on use cases created a valuable learning experience, enabling me to build real-world AI and ML solutions without extensive coding knowledge.I appreciate the course's structured content and clear explanations, making it an excellent choice for anyone seeking a user-friendly path to harnessing the power of artificial intelligence and machine learning. I love the interactive sessions and office hours with industry experts and professors. Program lead Kamakshi Joshi Is very proactive and remind on assignments very friendly and knowledgeable. Overall great course..

I felt my enthusiasm grow and grow with each new model, assignment and project. It has been challenging sometimes to gain perspective and allocate time and resources. Being able to fullfil the learning demands of this course have made me more eager to continue learning and to look for opportunities to apply what I learnt. Thank you. I enjoyed every minute!!

The foundational pre-course learning block was really helpful and worth learning properly: I found it gave me a strong running start for the initial course blocks. The academic quality and program/ administrative quality were both excellent: kudos to both MIT and Great Learning respectively. I found the RapidMiner hands-on experience to be very "tangible" in putting principles into practice. The projects were challenging and interesting; which they account for a relatively small % of the total marks, they provided a disproportionate amount of the learning/ experience valueI think the insight into more advanced capabilities (and tooling) such as Gen AI left me with appetite to learn more in this ML/ AI roadmap

Professor Nitin Sethi is great mentor. Professor Nitin has great handle on the full attributes of Rapid Miner and the installation , manipulation and attributes of the various datasets. In addition, Prof Nitin combines all of the concepts details of Rapid Miner and how they relate to the course module. It has been my honor to be taught by such a great and knowledgeable mentor. Thank you.

As a business man it was so hard, but challenging. I recommend that warning new users might be a good idea. Support team is terrific and comprehensive.Learning materials are very good, even the pre work.

Extremely appreciable and timely support from the Program Manager (Mr.Ishan Arora). Video lectures and the structre how the syllabus is framed is very good. The assessment quizzes can be modified and better. Highly recommended even for people from non-data science backgrounds to pick up the concepts at a fast pace. Remarkable learning journey!Thank you!

Great course, could be a good idea to include more reference materials and/or web pages to continue practicing and reviewing the concepts after the course.

The video lectures are superb. The professors are very knowledgeable. I love the real-world examples and the course material. I'm grateful the assessments only require cursory conceptual knowledge as I was pretty intimidated to gain exposure to a non-domain subject matter. Change mentored learning sessions to 4-5 people for 30-45 minutes and allow complete interaction for all members. Mentored learning sessions, as they stand, are just a recap of the week's lessons. They need not be a 2-hour affair if they are more interactive. Or give students the option of attending the current or other styles depending on their learning needs.

The complete training covered exactly what I was looking for, understanding behind models, logic, and tools I was using and what I use for my job. The expectations have been totally fulfilled. The material provided was almost complete in terms of knowledge and preparation for the assessments and for the projects. Personally, I preferred much more the online sessions with Bhaskar than the recorded sessions, not for all of course but the kind and the way of the explanations were quite different and more apparent. I mean that the recorded session also contributed to the final result, of course, but the way Bhaskar explained was exceptional; just for me, I am pretty visual, and I appreciate the explanation from scratch to understand a concept. Thanks a lot, and congratulations on the idea! I will look forward to verifying additional courses.