Great Learning

As someone eager to break into the data science field without extensive coding experience, I enrolled in GreatLearning's "No Code AI and Machine Learning: Building Data Science Solutions" course, and I'm pleased to share my experience.
Course Content & StructureThe course delivers on its promise of teaching AI and ML concepts without requiring programming expertise. The curriculum is logically structured, starting with foundational data science concepts before progressing to more advanced applications. Each module builds upon the previous one, creating a smooth learning journey. The course comprehensively covers everything, from an introduction to data science and AI fundamentals to deploying and monitoring models without requiring code. I was particularly impressed with how they effectively explained complex machine learning concepts using drag-and-drop interfaces and visual tools.
Learning ExperienceThe instructors clearly explain complex concepts using relatable examples and analogies. The platform is intuitive, making it easy to navigate between lessons, assignments, and resources. I particularly appreciated the hands-on projects that utilized tools (e.g., RapidMiner, KNIME), which allowed me to immediately apply the knowledge I had gained. The interactive elements kept me engaged throughout the course, and I never felt overwhelmed despite the technical subject matter.
StrengthsThe course's greatest strength is its accessibility - it's truly designed for non-programmers while still covering substantial technical content. There is a strong practical focus, with real-world case studies and projects that demonstrate applications in business, education, and healthcare. The quality of instruction is excellent, with clear explanations accompanied by visual aids and step-by-step demonstrations. I also benefited greatly from the community support through active discussion forums where instructors and peers provided timely help whenever I encountered difficulties. The program support is outstanding (Astha is superb!), mentors are well-experienced (Rohit Dixit!), and instructors are on top of their field.
Value for MoneyConsidering the comprehensive curriculum, instructor support, and practical skills gained, I found the course to be a worthwhile investment. It's particularly valuable for professionals seeking to incorporate data-driven decision-making into their roles without requiring a full-time commitment to programming. The cost-to-benefit ratio feels appropriate given the quality of the content and the potential career advancement opportunities it creates. Read less

I recently completed the intensive Post Graduate Program in AI & Machine Learning: Business Applications, offered by the University of Texas at Austin through Great Learning. This program provided me with a solid foundation and a clear roadmap for entering the field of AI and machine learning. The curriculum covered Python programming, machine learning, deep learning, computer vision, and natural language processing. Each module included a hands-on project designed to reflect real-world industry challenges, allowing us to apply our learning in practical scenarios. Weekly review sessions and continuous support from instructors played a key role in deepening our understanding. Overall, this experience has significantly strengthened my skills and boosted my confidence to pursue a career in AI and ML. Read less

I am thrilled to share my exceptional experience with the AI and Machine Learning course offered by Great Learning, in collaboration with MIT. This program has not only deepened my understanding of AI and machine learning but has also transformed my approach to data science.Comprehensive CurriculumThe course content was meticulously crafted, covering a wide range of topics from supervised and unsupervised machine learning algorithms to exploratory data analysis. The curriculum was well-structured, allowing me to progress seamlessly from foundational concepts to advanced applications.Expert Instruction and SupportThe instructors were highly knowledgeable, enthusiastic, and always available to address questions and concerns. Their ability to break down complex concepts into understandable modules was impressive. Additionally, the support team provided timely assistance, ensuring that I never felt stuck or alone throughout the journey.Practical Applications and Real-World RelevanceWhat sets this course apart is its emphasis on practical applications and real-world relevance. Through hands-on projects and case studies, I gained valuable experience in building data-driven solutions, which has significantly enhanced my skills and confidence. Read less

I attended the course No Code AI and Machine Learning: Building Data Science Solutions provided by MIT on Great learning platform. It was amazing experience for me. I am a business analysis manager in one of the big Tech companies. I was in the management role for over 8 years. In the past, our team used Python, Alteryx, Power BI and Tableau for all kinds of automated reports. This course gave me the opportunity to learn the most updated tool in the industry, which is the No-code AI powered tools. The curriculum covered most of the key concepts and knowledge we need to know about data science and AI in the current world. The projects and assignment related to hotel management and spam data are also very practical projects which we can apply to our everyday business use cases. The platform gave me all the well-built workflow files in RapidMiner, which are easy to understand and apply. We can replicate the similar models in real life using the RapidMiner workflow samples provided by the courses. I will gave 5 stars for the job assistance system that Great Learning Platform provided. Whenever I have questions either technical or course related, the support assistant will give me feedbacks and solution within 24 hours. I am busy with my work and life schedule and missed couple of courses due to business trip and flights, the team help me readjust the due date for the course and provided as much support as possible. I really want to show appreciation for the support team. Great job!! Read less

My overall experience with Great Learning has been excellent. The program was well-structured, the content was solid, and the support provided throughout was outstanding.I especially want to highlight the incredible guidance I received from Akansha. She was amazing and supportive throughout the entire course. A few weeks ago, I was at a breaking point — completely exhausted from work, and I felt that defaulting was my only option. But Akansha’s encouragement, patience, and belief in me gave me the strength to keep going.Her empathy and timely support made a real impact, especially during the most difficult moments. I’m truly grateful to her for helping me cross the finish line. Read less

Course is challenging but very interesting as it covers the fundamentals and mathematics behind Machine Learning and generative AI, so you really understand the fundamentals. It also introduces topics in a very logical and sequential manner, and the practical sessions and weekly mentored classes are very helpful in helping students to understand the concepts. The course also has a number of projects that enable students to get hands on experience in working with the no code machine learning tools. All in all, I learned a great deal from this course and most importantly picked up a number of very useful machine learning and LLM use cases and ideas that will add value to my work.   Read less

The No Code AI and Machine Learning course is surprisingly good for learning how AI works behind scenes! Great Learning has been doing an amazing job since the beginning of the program. 

Not only they made pre-sessions to make sure every single student would be on the same page but also through program managers, they are always very close with us trying to help in any different way.

In terms of the content, the entire program gives you a complete view of what is Machine Learning as well as you can play with No-Code AI/Machine Learning tools to understand the real way data science experts prepare contents and data for AI Apps.

The program manager named as Meher also is doing a great job working very closely with every single students during the entire program journey.

To conclude my notes, if you are looking for foundation concepts about Machine Learning and how to play with it, go ahead and take this training. It will change the way you see the ML and AI behind scenes.

Thank you Great Learning to supporting me during this journey! 

Adilson Read less

I've just completed the 'No Code AI and Machine Learning: Building Data Science Solutions' course, and it was an incredible experience! The professors, platform, and Juhi (Program Manager) exceeded my expectations in every way. The perfect balance of theory and practice delivered valuable insights for diverse applications. I highly recommend this course to anyone seeking effective learning and practical skills in AI and ML. Read less

Excellent Course – Highly Recommended


This course was extremely valuable. The content covered was rich and very well structured. The instructors are truly dedicated and demonstrate deep knowledge of the subject. The pace of learning was ideal, with a great balance between pre-recorded material and live sessions. Most importantly, the lessons are directly applicable to day-to-day work



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Course Review: No Code AI via Great Learning & MIT Professional Education 

My experience with the MIT No Code AI course offered through Great Learning & MIT  has been highly rewarding and engaging. The program strikes a thoughtful balance between accessibility and depth, making it an excellent entry point for professionals looking to understand and apply AI without a coding background.

One of the standout features has been the mentored sessions led by Professor Olabode James. He has consistently demonstrated patience, clarity, and a genuine passion for teaching. His interactive style keeps sessions engaging, and I particularly appreciate the flexibility the program offers—when unable to attend a live session, learners can easily access recordings to catch up on the material.

The course design is also very learner-friendly. Video lectures are accompanied by written handouts, which make it easy to revisit concepts quickly without scrubbing through hours of video. This dual-format approach significantly enhances knowledge retention and review efficiency.

Another highlight is the exceptional program support provided by Saumya. She has been incredibly proactive and responsive—energizing the cohort through the WhatsApp group, offering timely guidance, and maintaining a supportive learning environment throughout the course.

A thoughtful aspect of the program is its inclusive approach to projects. Whether you want to explore AI from a strategic, business-oriented perspective or dive deeper into practical implementation using tools like KNIME and RapidMiner, the curriculum supports both tracks. This flexibility ensures the course remains relevant to a wide range of professionals.

Finally, I appreciate that quizzes and evaluations are provided with significant lead time to ensure that busy professionals taking the course are able to make time in their busy schedules to avoid unnecessarily missing deadlines. 

Overall, this has been a fast-paced, well-structured, and enriching introduction to AI, especially for those seeking to harness its power for business impact without necessarily writing code. I highly recommend it to professionals looking to future-proof their skills.


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This no-code ML course is a game-changer! Its well defined and structred, Juhi Gupta helped navigate the course brilliantly, Our mentor Denver Dias  explained data structuring and model utility, igniting my curiosity. Particularly using Random Forest model we to predict propensity. Highly recommend taking this course! Read less

Taking the No Code AI and Machine Learning course by MIT has been one of the most rewarding learning experiences I’ve had. It brilliantly combines accessibility with academic rigor, offering a comprehensive and empowering introduction to artificial intelligence and machine learning—without requiring any prior coding knowledge.What sets this course apart is its focus on real-world application. Through intuitive tools and platforms like RapidMiner and KNIME, I was able to build and analyze AI models, explore unstructured data, and apply machine learning concepts to business-relevant case studies like the Melbourne housing market. The structure of the course gradually builds confidence, even for someone without a technical background, making complex ideas approachable and practical.The lectures are both inspiring and clear. They provide a strong foundation in AI, statistics, and machine learning, while emphasizing the importance of interpretability, ethics, and decision-making in organizational contexts. I especially appreciated how the course links AI theory to tangible challenges in sectors like finance, retail, healthcare, and education.Moreover, the curated resources and case studies are excellent. They make the content richer and more engaging, encouraging learners to think critically about data-driven strategies in everyday decision-making. This course doesn't just teach tools, it changes how you see data and what’s possible with it.Whether you’re in business, research, or just curious about AI, this course is a fantastic gateway. It proves that you don’t need to code to lead with intelligence. Read less

I have been in technology space more than 15 years with no technical background in services sales. This program is structured very well. It is self paced during the week you study that week’s curriculum and have the class at the weekend. Lots of use cases and real life business cases are worked on. Support is amazing. I highly recommend the program. Read less

I recently completed the MIT No-Code AI and Machine Learning course and found it to be extremely valuable in providing the tools to understand how AI can be applied to solve business problems. The course included weekly mentored sessions and quizzes that helped ensure participants developed a strong understanding of a wide range of AI concepts. Additionally, hands-on projects reinforced how these tools can be applied and presented in a real-world business context.Each week also featured a live, hands-on session where participants could follow along as the instructor built models in real time. I found these sessions particularly helpful in reinforcing the material and gaining practical experience.This is an excellent course for anyone looking to explore how AI can be leveraged in modeling and decision-making without requiring a programming background. The course primarily used RapidMiner and KNIME—two intuitive and user-friendly platforms that made the learning experience accessible and engaging. Read less

I recently completed the MIT Applied Data Science Program, and it was an outstanding experience from start to finish. The quality of instruction was exceptional—MIT professors brought deep expertise and clarity to every lecture. What truly set the program apart, in my opinion, were the weekly hands-on sessions. These practical labs were invaluable for translating theoretical concepts into real-world applications, reinforcing the learning in a meaningful and lasting way. I gained not only technical knowledge but also the confidence to apply data science more effectively in my role. I’m excited to bring these new skills to my organization and continue growing in my career. Read less

I am taking No Code AI course work from MIT executed by Great Learning. This is an excellent course for beginners in this field. Provides great overview of different aspects of AI/MP/Deep Learning and Next Gen AI. Unlike other courses were we only watch videos, this has assessments, mandatory mentor learning sessions and hands on projects, which gives excellent insight to what we learned. Course goes to great details and is well structured.
The selection of members of cohort for mentored learning sessions is good as there are people from different domain expertise, and not just IT/Software. This gives different perspective to different industries and how AI could be used.
I had pleasure to attend learning sessions from multiple mentors and they were all experts in their domain. Their lecturing style is good and very interactive. They have patiently explained any queries and demonstrated deep understanding in the domain from their profession expertise in industry.
To top it all, the program manager is excellent and is in constant touch, making sure there are no roadblocks, and we are able to navigate smoothly.  She is very accommodative in any requests placed and helps with the logistics.
Overall, I am very happy I took this course and will recommend to anybody who is trying to understand the AI landscape.  Read less

 I recently just pass the half way on the No-Code AI course from MIT and found it to be incredibly insightful. It provided a clear understanding of how AI technologies function today, without requiring a background in programming. I was particularly impressed by the range of no-code tools now available and how effectively they can be applied to enhance various aspects of development work. This course has broadened my perspective on integrating AI into real-world projects in a practical and accessible way.  Read less

El curso me dio las bases para poder integrar varios conocimientos aislados de ML. Durante mucho tiempo gasté tiempo en tratar de leer libros y entender conceptos que pudiera aplicar en el día de día. Este curso me permitió entender las bases y después entrar a la codificación de los modelos de forma ágil utilizando No Code. Este curso me ha dado información para poder proseguir mis estudios especializándome en ciertos tópicos que sin el curso simplemente hubiera estando caminando en círculos. Lo recomiendo ampliamente, la carga de trabajo es de buen nivel es decir hay que dedicarle al menos unos 6 horas a la semana si se desea terminar satisfactoriamente. Read less