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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This course is a must for anyone looking to lead AI initiatives. Unlike traditional software or digital transformation work, it highlights the strategic mindset and cross-functional leadership that the realm of AI uniquely demands. More than a career accelerator, the 'AI in Business Strategy' course was a thoughtfully crafted experience, delivered by passionate instructors who make the journey both practical and inspiring.
Date of experience: June 22, 2025
The recorded video lectures are well delivered by the faculty members. The mentored learning sessions have also been very good. The quizzes (both graded and ungraded) are a very good test of students' knowledge. The projects are practical and impactful.
Date of experience: June 21, 2025
I would recommend the course to AI technology enthusiasts.Pratical knowledge gained has potential to positively impact the global AI scene.The learning process was designed for easy grasping of fundamentals.The instructor engaged well with students, allowing for questions and clearing of doubts.I now have the confidence to tackle real world AI technology challenges in line with the Bootcamp.
Date of experience: June 21, 2025
I highly recommend this course- MIT IDSS course on AI and Machine Learning. It was quite an amazing course: well structured, with tutors and assistants eager to help, even on weekends. There’s also an AI chatbot that assists you with the course anytime. The only thing that would be nice to have is all the information for each chapter combined into one document or webpage. It’s hard to revisit the material and find specific details you’ve forgotten. I should also mention that the course is very intense. Even with a programming background, I had to spend two full days every week to keep up. But you’ll learn a lot, and it will be worth it!
Date of experience: June 21, 2025
Just finished the MIT NCAIML course and I'm incredibly impressed. As a non-technical professional, I found it exceptionally clear, concise, and easy to grasp. The curriculum, hands-on sessions, and especially the real-life case studies and business interpretation were invaluable. The focus on integrating AI/ML to achieve business objectives, particularly in prediction systems, was a game-changer for my financial background. Highly recommend this course for anyone looking to understand AI/ML and its implications.
Date of experience: June 21, 2025
I have a wonderful experience with great learning team. They are super supportive with kindness. the online course "No code ai and machine learning" also great. these course are fulfilled me with logic and fundamental both discriminated ai and generative ai. not only learning video but this course also combine with live mentoring session every week, and finally challenge my implementation skill with 3 projects. all combination of the course are perfect.
Date of experience: June 21, 2025
The depth of knowledge shared coupled with the hands-on learning using No code tools that were made accessible throughout the program, resulted in the opportunity to really embed the knowledge and not just cover it at the top line level. This course is only for those that really want to learn, if you’re looking to just get a certificate, this is not the one for you. Block your time well!
Date of experience: June 21, 2025
US
DATA ANALYTICS ESSENTIALS TRAINING PROGRAM TESTIMONIAL - By Madu Ihedioha By way of introduction, I am a Civil Engineer with years of experience in core civil works before crossing over to take roles in Water Agencies Commercial Operations, large scale GIS-based Customer/Infrastructure Enumeration & Design of Non-Revenue Water Reduction Strategies. The new focus areas deal with copious data to be structured & analyzed based on critical metrics for performance monitoring & sustainable operations. The desire to acquire better skills to perform these operations effectively motivated me to go into the Data Analytics Program. I had doubts in my mind regarding the successful completion of the program but since I am accountable to myself, I went ahead & enrolled in the Data Analytics Essentials program with Great Learning and the University of Texas at Austin, McCombs School of Business. But when the program commenced & I saw the intelligent Olympus LMS, the breakdown of the courses [Data Analytics Foundation using MS Excel, SQL, Python & Tableau] into study flow modules, self-explanatory self-paced videos and exciting mentoring classes, I knew then that I was in the right environment for Data Analytics training. As a testimony to the effectiveness of the training, I completed the program with an average score of 85.68% in the four courses and GPA of 3.42. If I can achieve this impressive performance with little ICT knowledge prior to the program, you can do even better. But this is the caveat to the learners, the program is intensive & demanding in terms of time & efforts but I was determined and so I powered through it successfully. I stand today as a confident Data Analyst equipped with strong skills to handle data and solve real world business problems. Huge kudos to the entire Program Office Team for the rock star support and most especially to the Program Manager – Mr. Samuel Morris who blended harmoniously the program policies with empathy, the hallmark of a good manager. #Great Learning #Time to Upskill is now #Time to unleash your potential is now #I have learned #I am better now #The place to learn is Great Learning in partnership with the University of Texas at Austin
Date of experience: June 21, 2025
US
I have taken on an aggressive set of personal goals for my Roadmap 2025 - Machine Learning (completed Jan'25), Power BI (completed May'25) and Generative AI (eta Sep'25). The journey is demanding, and could not be completed without the GL framework for excellent program support, live mentorship, and large collections of video classes, quizzes and exercises. The framework provides a holistic venue for enriching and expanding one's knowledge in technologies of today and tomorrow. Special kudos to the program advisors and managers.
Date of experience: June 20, 2025
I really enjoyed the tutorials and learned many things
Date of experience: June 20, 2025