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

The course is very good with lucid mentoring sessions (Saransh, in my case). Content is great. As this is a 3 months course so in-depth statistics/mathematics behind algorithms were not covered but have resources to explore on our own. If I compare my learning with previous other online providers, this course is crafted very well to suit working professionals with adequate breaks and excellent support from learning Manager and her team (Saumya in my case). Hands on sessions from Anjana were excellent. Overall a very good experience.For the projects submitted, It would be great if we have a session on some of the best presentations, as it will give as the opportunity to even learn from our peers

I enrolled in Oct-Jan batch of NCAI course by Great Learning. The sessions are structured well and easy to follow. For me, this program has helped to break down the complexity behind AI concepts using practical examples and case studies. The course has also further sparked my curiosity and gave me confidence to explore AI further and explore real-world scenarios. I would highly recommend it to anyone looking to build or strengthen their understanding of AI.

I followed the course “No Code AI and Machine Learning: Building Data Science Solutions” by MIT Professional Education, delivered by Great Learning, from September 2025 to January 2026, and found it to be extremely valuable. The course content was very well structured and relevant, providing a solid foundation in AI and machine learning concepts without requiring prior coding expertise.  The lecturers and mentors were excellent —knowledgeable, engaging, and always able to explain complex concepts in a clear and practical manner.  The organisation of the course and the learner support were also very good, ensuring a smooth and well-coordinated learning experience throughout.  The online platform was user-friendly, with good functionalities and overall usability, making it easy to access learning materials, track progress, and interact during the course.  The quizzes, exercises, and assignments were concise and well targeted, helping to reinforce understanding of the key concepts, tools, and techniques covered. Overall, the course significantly improved my understanding of AI and its underlying concepts, and it has equipped me with the confidence to apply these learnings in my professional context.  I would highly recommend this course to anyone, whether they are from an IT background or not, who wishes to gain a clear and practical understanding of artificial intelligence and its real-world applications.

I decided to enroll in an Artificial Intelligence course to deepen my knowledge of this field. Since my IT background was quite limited, I chose the "No Code AI and Machine Learning: Building Data Science Solutions" course.​It was a true challenge; the pace was intense, requiring the completion of a unit every week. Despite not being a computer scientist, I was able to follow the material clearly. Thanks to my hard work and commitment, I earned my certificate from MIT—a dream come true for any engineer.​All of this was made possible by the excellent Olympus platform by Great Learning, which made everything seamless, from study materials to personal support. My tutor, Saumya, demonstrated great professionalism and the ability to address every request or issue promptly. I am very proud to have chosen this Great Learning and MIT program.

I enrolled in the “No Code AI and Machine Learning: Building Data Science Solutions” program with the goal of gaining a deeper understanding of data science without having a formal academic background in the field. I was initially skeptical, as I had previously taken similar courses with disappointing results.I can confidently say that, although the journey was demanding and required real commitment, the program fully delivered on its promise.The video lectures recorded by the MIT faculty were of outstanding quality: conceptually rigorous, yet clearly explained and well adapted to a non-academic audience, without compromising depth or substance. In parallel, the Great Learning team provided continuous and well-structured support through mentoring sessions, hands-on exercises, and responsive assistance throughout the course.I would especially like to thank Saumya Ali and Anjana, whose guidance and availability made a tangible difference in navigating both the technical content and the overall learning path.A final mention goes to the practical projects, which effectively bridged the gap between theory and real-world application. These projects were instrumental in consolidating the concepts learned and building confidence in applying them. I also appreciated the exposure to tools such as RapidMiner and KNIME, and I commend their communities for making advanced modeling techniques accessible to a broader audience.Overall, this was a challenging but highly rewarding experience. I would definitely rate it five stars and recommend it to professionals seeking a solid, practical entry point into data science and AI without a traditional academic background.

Great Learning has been a true enabler in my transition from corporate leadership to entrepreneurship. The No Code AI program offered a powerful blend of accessibility and depth—allowing me to explore AI-driven innovation without needing to write code. It aligned perfectly with my vision of ethical impact and regional growth across MEA.Thanks for professors and mentors!Saumya and team has been a constant source of encouragement throughout this journey. Her thoughtful follow-ups, genuine care, and commitment to learner success made the experience feel personal and empowering. She didn’t just represent the program—she embodied its values of support, transformation, and lifelong learning.I’m grateful for the knowledge gained, the confidence built, and the human connection that made it all meaningful.

I’m currently taking No Code AI and Machine Learning: Building Data Science Solutions through Massachusetts Institute of Technology, and it’s been a strong, business-first introduction to applying machine learning in real-world scenarios. The course emphasizes framing problems around strategic and operational impact, distinguishing between descriptive trends and truly predictive signals, and balancing model performance with interpretability so insights can be trusted and acted on. Most valuable is the focus on translating model outputs into practical, actionable recommendations, reinforcing that analytics only creates value when it leads to better decisions. Highly recommended for Customer Success, product, and business leaders looking to apply AI meaningfully, not just technically.

Enrolling in the No-Code Artificial Intelligence and Machine Learning program has been a transformative experience for me as a retired professional eager to stay current with technological advancements. The program’s structure—twelve thoughtfully designed courses delivered by renowned faculty from Great Learning and MIT—makes complex AI and ML concepts accessible to learners from all backgrounds, even those without a coding or technical foundation. What sets this program apart is its focus on hands-on learning with no-code tools. These platforms allowed me to experiment with data science, build predictive models, decision and recommendation systems, and understand the logic behind neural networks, all without the intimidation of advanced programming. The curriculum starts with foundational knowledge of the AI landscape and gradually builds on it, supported by mentoring sessions and easily accessible recorded lectures. This approach helped me overcome my initial apprehension about the mathematical aspects and gave me the confidence to progress.The program is rigorous and requires dedication, but the flexibility in project work and the availability of support—whether through chat or support tickets—ensured I never felt lost. The Learner Handbook provided clear guidance, and the overall learning environment encouraged self-motivation and discipline. You are assigned to a program manager dedicated to your learning group, determined by your experience level, who communicates upcoming sessions and learning opportunities and is available to navigate challenges or issues via conference, chat, or email.I highly recommend the No-Code Artificial Intelligence and Machine Learning program to anyone aspiring to become a data scientist or business professional seeking to harness the power of AI and ML in their field. This program delivers practical skills, builds confidence, and opens doors to new opportunities in the rapidly evolving world of AI and ML. This program has been an exciting experience for me.Additionally, once completed, the coursework and resource materials are available to students for the next three years, allowing you to continue developing and referencing them in your future work.

I joined the course, "No Code AI and Machine Learning: Building Data Science Solutions," based on a colleague's recommendation.I found the course extremely helpful for anyone who wants to understand AI tools, modeling, and technical depth without getting bogged down in complex coding. It establishes a great foundation and provides a clear understanding of AI today.
I was very satisfied with the overall course structure, online instruction, projects, and assignments. The course instructors and mentors are knowledgeable and detail-oriented, and the support team was consistently available for assistance when needed.I would like to extend special thanks to Nandini, my course coordinator. She was incredibly supportive and prompt in addressing all my needs. Since this course demanded a significant time commitment for a working professional, I truly believe that completing it smoothly would not have been possible without Nandini's timely communication and support.

When I began the course, I didn’t know what to expect. I was an AI and machine learning (ML) novice, and I’ve never been particularly tech-savvy. I also didn’t know how it correlated with my work as a healthcare professional working in the nonprofit sector. One of my colleagues recommended I give it a try, and I am so glad I did! The combination of live instruction, recorded sessions, relevant course, material, assessments, and assignments, and incredible program support staff helped me to keep up with the pace and grasp key concepts. Overall, I got much more out of the course than what I anticipated. I strongly recommend this program regardless of level of experience. 

This is an excellent course for anyone wanting to learn the genesis, underpinnings and evolution of Data Science, AI/ML and today's worls of Gen and Agentic AI. Fascinating course with excellent videos from MIT experts, live guidance form Industry Mentors and excellent program management support from the Great Learning Team. The course allows you to choose how much hands on you would like to get based on your preference, while still imparting core concepts, intricacies and application of the world of Data Science. Than you MIT and Great Learning!

I recently did the No Code AI and Machine learning course with the Great learning and I had such an amazing experience. The curriculum is very logically designed , the pace of the course is very apt and then the noteworthy thing is you get ample of support from everyone ! Apart from the recorded classes , you get live mentored session on the weekend which covers both theory and hands on. There are weekly scheduled assessments and three projects which help you get a grip on the subject. And last but not the least, the program manager Ruchika Jain, goes above & beyond to help you, motivate and encourage you through your journey. She gives such a personal touch by being there for you as a manager, mentor and sometimes just as a genuine being trying to understand your concerns and help you out . I could not have finished my course without her help. I highly recommend this course !

This course is an excellent starting point for anyone looking to enter the AI field. My honest recommendation for prospective learners is to be mindful of the time commitment required. I missed a couple of assignments due to a business trip, and it was challenging to catch up, so make sure you balance work, life, and course assignments.
In terms of content, the material and terminology are impressively well curated. However, if you’re not comfortable with math, some concepts may be harder to follow. The assignments and tests are manageable, but they require extra attention—especially during video lectures and mentored learning sessions—to fully grasp the terminology and key ideas.
The faculty are industry experts. Please note that multiple instructors deliver the lectures, so teaching styles vary; it’s helpful to rely on your assigned mentor for consistency and guidance.
Regarding price, I believe the course offers strong value. It is comprehensive and thoughtfully designed. The no‑code tools used are completely free, so there are no extra licensing costs. You are also assigned a Program Manager who can assist with any issues, including platform support. The platform itself is clean, minimalistic, and straightforward to use.
Overall, this course is a great launchpad to catapult your career in Artificial Intelligence from a business perspective.

Great Learning in combination with MIT puts on an amazing No code AI and ML course.  The Great Learning Staff (shout out to Etiva, our program manager) is amazing and very concerned with each student's outcome.  This course focuses on the concepts of ML and AI without the distraction that coding complications can add.  I highly recommend the course to anyone who wants to know more about AI or Machine Learning but doesn't have the time to learn the coding techniques.

The MIT No Code AI and Machine Learning program from Great Learning is a great fit for busy professionals who want to understand the AI landscape without diving into coding. It offers a rich mix of hands-on video tutorials, practical case studies, curated articles, industry insights, assessments, projects, and mentor-led sessions, all supported by clear handouts and content pages. Designed to accommodate different learning styles, the program combines MIT's content with flexible, practical delivery, making it easy to grasp complex AI concepts and immediately apply them to real business challenges.

I recently completed the MIT Great Learning NCAIML program, which I began in mid-August 2025. Over the past three months, I found the course to be both rigorous and rewarding. The curriculum is comprehensive, covering a wide range of AI and ML concepts through video lectures delivered directly by MIT professors with deep expertise in the field.The program requires a significant time commitment — in my experience, at least 1–2 hours daily and 4 hours on weekends, with additional effort needed for projects. While the aggressive timeline can be challenging, it ensures that students stay consistently engaged. At times, I had to revisit lectures multiple times to fully grasp complex concepts, but the mentor sessions at the end of each week provided valuable guidance and clarification.The inclusion of case studies and optional hands-on sessions with AI tools further enriched the learning experience, allowing practical application of theoretical knowledge. The learning portal is well-structured, and the quality of content is excellent.Overall, the program delivers exceptional value through world-class instruction and a packed curriculum. The only drawback is the fast-paced schedule, which may feel demanding for working professionals. Nevertheless, the effort required is matched by the depth of knowledge gained, making it a worthwhile investment for anyone serious about advancing in AI and ML.