No Code AI and Machine Learning: Building Data Science Solutions

I appreciate your excellence in organizing this course. Everything is great from LMS to instructors and material quality.Every week i accumulate invaluable knowledge and experience in an area of my passion. Thank you GL from the depth of my heart. Please keep on this excellence.My best wishes to all the staff

Enjoyed the experience. Good to learn from historical perspective of AI, leading upto handy tools useful in my business. The coordinate team was very cooperative. I had initial challenges in getting advance calendar blocks but it smoothened out with rhythm.

I recently finished the MIT No Code AI and Machine Learning: Building Data Science Solutions course, and honestly, it was one of the most rewarding learning experiences I’ve had in a while. Coming from a non-technical background, I was a bit nervous going in, but the way the content was delivered made it all feel approachable and easy to grasp. Everything was clear, concise, and to the point, no fluff, just solid learning.What really made the course stand out for me were the hands-on sessions and the real-world case studies. They didn’t just teach theory, they showed how AI and ML are actually applied in business. That perspective, especially the business interpretation side, was incredibly helpful for someone like me working in finance.The part I enjoyed the most was definitely the section on Generative AI and Prompt Engineering. It was so exciting to dive into how large language models work and how we can shape their responses through well-designed prompts. I’ve already started applying some of those ideas in my own projects.If you’re curious about AI/ML and want to learn how it’s being used across industries without needing to be super technical, I’d definitely recommend this course.

I had a very positive experience with Great Learning. The course structure was comprehensive, the platform was user-friendly, and the learning material was practical and aligned with industry needs. I especially want to acknowledge my Program Manager, Shweta, for her consistent support and professionalism throughout the program. She was always responsive, proactive in resolving issues, and genuinely committed to helping learners succeed. Her guidance made a significant difference in my learning journey.

I enrolled to the course because I wanted to understand what's the fundamental of AI and Machine Learning. After 12 weeks I can tell I now understand what's behind all this big movement and now I can redirect my efforts in the specifics that I want to go deeper. That was my first time using great learning platform as well, and I really loved the way they conduct you in the learning experience. I can tell you I am very satisfied with the results and I think it worth every cent spent in this course. 

I joined the no code school, ot was great and the school was very good. The teachers were accommodating and helpful. The modules were a mix of good cover between basic data sciences and ML, generative AI was also part of it. It gets your knowledge up to scratch and from there you have to work hard to get the practice.

 I recently completed the MIT NCAIML course, and I can confidently say it's one of the best AI/ML programs out there, especially for professionals from non-technical backgrounds. What stood out to me was how easy it was to comprehend – clear, concise, and straight to the point. The curriculum is brilliantly curated, offering practical hands-on sessions. I particularly valued the real-life case studies and the unique business interpretation of projects, which provided crucial insights into integrating AI/ML for financial professionals like myself. My favorite module was definitely prediction systems! I highly recommend this course to anyone aiming to understand AI/ML's practical applications and its impact across various business functions. 

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.

I really enjoyed this course — the classes were engaging, the content was incredibly insightful, and I learned so much about applying AI without writing code. The hands-on exercises and projects helped me put theory into practice in a very accessible way. I would’ve loved more opportunities to interact with classmates, but overall, I’m very satisfied with the experience and highly recommend it to future learners.

The course is a great introduction to the AI & ML subject. The course structure provides the foundations to learning how AI and ML work, how it can be applied to different areas, and real world scenarios.

I absolutely loved the program! The content was rich, insightful, and really helped me understand how the world of AI has evolved and what goes on behind the scenes. The course structure and schedule were second to none — the weekly assessments and mentored learning sessions ensured we stayed on track and never fell behind.Great Learning and their program manager assigned to us were incredibly supportive throughout the journey. This program gave me both the knowledge and confidence to navigate the AI space with clarity. Highly recommend it to anyone looking to upskill meaningfully!

A highly structured and comprehensive course featuring in-depth content, engaging case studies, and robust supporting materials. The quality of the sessions, resources, and assessments is excellent, providing a solid foundation. This course serves as an ideal introduction to AI and Machine Learning, effectively clarifying underlying concepts and exceeding expectations in delivering a valuable learning experience.

Taking the No-Code AI & Machine Learning course from MIT Professional Education in collaboration with Great Learning has been a truly transformative experience. The program stands out for its deeply immersive and hands-on approach, making complex concepts in artificial intelligence and machine learning accessible even for those without a technical background.What I appreciated the most was the practical application of every module — we were constantly working on real-world use cases, using cutting-edge tools that are already being applied in the industry. This not only solidified the knowledge but also boosted our confidence to implement AI-driven solutions in our own business environments.The faculty was exceptional. Every professor demonstrated remarkable clarity, expertise, and an outstanding pedagogical approach. Their genuine dedication to our learning was evident throughout the course. They were always willing to go the extra mile to ensure each student understood the material and was fully prepared for the next stage.I highly recommend this course to professionals looking to harness the power of AI without the need for coding. Whether you're in business, strategy, marketing, or operations, this course empowers you with the tools and mindset to lead AI initiatives confidently. One of the best learning investments I've made.

It is a great platform to spread knowledge. Exceptional teachers on the online classes, super important for the learners development, complemented with recorded classes and a lot of materials. Amazing instructors that are always ready to help. Quiz and assessment totally align with the courses. And projects to help learners fix the new skills.  Mega recommended!

This course is for anyone who wishes to acquire a workable knowledge of how Machine Learning techniques fit into the larger domain of AI. The course is well structured, and  the program manager  has been available all along the learning journey (the course will soon end) to help me with all course-related issues. I was driven to this course mostly by the need to understand how my work as econometrician can benefit from AI computational environment, and by intellectual curiosity.  The knowledge I have gained from the course is  beyond my initial expectations.  As for the “No Code” qualifier, it should be understood as “No Obligation to Code”. The student is taught to code with  very high level (hence very friendly) data-analysis languages, although diving into the underlying (lower-level) codes is left to the student’s discretion with no adverse effect on the student’s performance evaluation.  In a nutshell, it’s a great course.  

As a programmer, I joined this No-Code AI course with the intention of exploring AI from a higher-level, tool-based perspective—and I was thoroughly impressed. The course is very well-structured, offering a clear and accessible introduction to key AI concepts, without requiring any coding background.The use of RapidMiner throughout the course was particularly effective. It allowed me to focus on the core logic behind machine learning—data preparation, model building, evaluation—without the distraction of syntax or code implementation. Despite my technical background, I found this visual, drag-and-drop approach refreshing and highly educational.The combination of theory, real-world case studies, and hands-on exercises made the learning process smooth and engaging. Even as someone familiar with programming, I gained new insights into how AI workflows can be quickly prototyped and applied across industries.This course is a great fit for both technical and non-technical professionals who want to build a strong foundation in AI and machine learning. I highly recommend it to anyone looking to apply AI practically—without writing a single line of code.

A well structured course with detailed content, case study and supporting material. The quality of the sessions , material and the assessments is good. This is a course for initiation to AI and understanding the underlining concepts  and it does justice to that.

The No-Code AI and Machine Learning course by Great Learning, developed in collaboration with MIT, has so far been an outstanding and practical introduction to AI leadership and modern machine learning concepts. It offers clear explanations of supervised and unsupervised learning, the differences between structured and unstructured data, and how these fit into the broader data science lifecycle—especially during exploratory analysis.I’ve particularly appreciated the breakdown of recommendation systems, contrasting content-based and collaborative filtering approaches with real-world relevance. The modules have done an excellent job illustrating how different models—like decision trees, random forests, and neural networks—can affect prediction quality and business outcomes. The section on computer vision, especially its application of convolutional neural networks, has been presented in an intuitive and hands-on way.The course also introduces important distinctions between generative and discriminative AI, along with prompt engineering exercises that bring the concepts into real-world application. Even without any coding, I’ve been able to engage deeply with the material and feel more equipped to contribute to AI-driven projects. I’d highly recommend this program to professionals who want to build strategic AI capabilities without needing a programming background.

I took the MIT No Code AI and Machine Learning: Building Data Science Solutions program with Great Learning and found it really solid.The platform is smooth and well-designed, the content is clear, and the projects are based on real-world use cases. Tools like RapidMiner and KNIME were easy to use and relevant.Special thanks to Saumya for her reliable support throughout the program.A great entry point into AI and ML without coding.

I applied for the course “No Code AI and Machine Learning: Building Data Science Solutions” with the goal of understanding the logic behind machine learning — and I can confidently say I’ve achieved that 100%. The course offers a variety of ways to learn, from mentoring sessions where instructors answer student questions, to assignment formats that don’t require a technical background. The study materials are clear and easy to understand, making the course accessible and highly recommended.