Great Learning

I have worked in the international oil & gas industry for over 50 years and have become increasingly aware how prevalent AI & Machine learning. As a data science neophyte, I wanted to understand mcuh more of the theoretical background to  ML, AI and neural networks so enrolled on this course. My experience has been very largely positive, in that I have achieved what I set out to do. In my opinion, it is essential that every professional, in whatever discipline, familiarises themseleves in what AI is , what it can do and its limitations. The course itself was well-structured, although some bits were better than others and the introduction of the final project was plagued initially by various teething problems Read less

I come from a non-tech background with over two decades of work experience in finance and treasury, so I was excited to learn about the MIT No Code Machine Learning and Artificial Intelligence course, especially because it was accessible to me as it did not require knowledge of coding or tech.

The course is a carefully thought-through blend of academic theory and practical applications. I found the academic theory very stimulating, deep enough to appreciate the reasoning behind the practical applications and workings of the No Code tools without leaving a feeling of being overwhelmed.

I am very happy I took the course and particularly proud that I finished it. I know it is a defining launch for me into the tech space, as my curiosity has been stimulated and I am inspired to explore more deeply. The curriculum is not only relevant to real-life problems; it is also current, giving access and insights into the latest developments. I greatly look forward to what the future holds for my career advancement. I am immensely grateful to our mentors, program manager, and lecturers, who together provided us with a great learning experience.

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The Post Graduate Program in Generative AI for Business Applications has been a truly valuable and well-structured learning journey. The program offers a great balance of theoretical concepts, real-world case studies, and hands-on projects, which helped me understand how Generative AI can be effectively applied to solve practical business problems.
The curriculum is thoughtfully designed and covers important areas such as Large Language Models (LLMs), AI agents, and Responsible AI. These sessions were particularly insightful and directly relevant to real-world applications. The hands-on projects also provided a great opportunity to apply the concepts in practical scenarios, which made the learning experience even more meaningful.
I also appreciate the efforts of the faculty and mentors who explained complex topics in a very clear and engaging manner. Their guidance made advanced AI concepts easier to understand and helped build both technical knowledge and confidence in designing AI-driven solutions.
Another highlight of the program is the flexibility it offers, which makes it very suitable for working professionals. The support provided throughout the program ensured that the learning process remained smooth and manageable alongside professional responsibilities.
A special thanks to Shikha, Program Manager, for her outstanding support during the entire journey. She was always responsive, professional, and extremely helpful whenever I had questions or needed clarification. Her guidance and coordination played an important role in making the overall learning experience seamless and stress-free.
Overall, this program is an excellent starting point for anyone looking to build practical knowledge in Generative AI and apply it to real business scenarios. I highly recommend it to professionals who want to explore and grow in the rapidly evolving field of AI. Read less

I learned a lot and the projects were very good. The instructors were very knowledgeable and provided real world experiences to the lessons learned. I would recommend this course. I can use the lessons learned and apply them to situations in a work environment.  Read less

As an SDET transitioning to AI/ML, UT Austin’s course on Great Learning was transformative. Its comprehensive curriculum, hands-on projects, and engaging instructors bridge theory and application brilliantly. You’ll gain practical skills in key areas like statistical learning, neural networks, and TensorFlow.
The flexible online format and collaborative peer community make learning enjoyable and enriching. I highly recommend this program to experienced tech professionals ready to launch into AI/ML. It provides the knowledge and skills to confidently pursue this exciting field. Read less

 I rarely write reviews, but this one truly deserves it. 

I’m currently enrolled in the PG Program in Generative AI with The University of Texas, and it has genuinely exceeded my expectations. Most online programs I previously tried provide information and a completion certificate. This one provides understanding, real mastery, industry relevance, and a credit-bearing postgraduate-level academic experience. 

The structure is remarkably efficient — what would typically take hours in a university lecture hall is delivered in a focused, clear format that respects your time without sacrificing depth. Unlike many certificate-driven platforms, the emphasis here is on understanding underlying mechanisms rather than just outcomes. That depth translates into real capability — the kind that can be directly applied in industry, discussed confidently with professionals, and leveraged within a strong peer and alumni network. That distinction is transformative. 

One aspect that particularly surprised me was the technical progression. I started the program with no real coding experience in Python. Today, I am able to build functional AI applications with full code — not just low-code tools. While the program offers accessible pathways for managerial profiles who prefer limited coding exposure, choosing the full-code track pushed me further than I ever expected. Having once struggled with programming earlier in my academic journey, I never imagined reaching this level of confidence in Python and AI development. 

The mentoring component adds another layer rarely found even in traditional academic systems: real-world context. Weekly sessions bridge complex theory with industry application in a way that many universities struggle to provide consistently. 

The learning has been immediately applicable. As someone preparing to launch an AI startup, this program provided exactly the clarity and technical foundation I needed. I’m now able to build concepts and working prototypes myself that previously would have required hiring external developers. That shift alone has been transformative. 

It feels less like “completing an online course” and more like being part of a structured academic journey — adapted to how professionals actually learn today and, in many ways, going beyond traditional university formats by actively connecting theory with industry realities and real company-based applications. 

Highly recommended — and my sincere thanks to Great Learning.  Read less

 Wonderful learning experience! I recently completed the No Code AI and Machine Learning: Building Data Science Solutions program by MIT Professional Education, delivered in collaboration with Great Learning. The program offered an excellent mix of high-quality video lectures from MIT faculty and live mentored sessions by industry experts, which made advanced AI and Machine Learning concepts very accessible. I had valuable hands-on experience using tools such as RapidMiner and KNIME, enabling me to build practical data science workflows without writing code. What stood out most was the structured 12-week curriculum, real-world case studies, and industry-relevant projects. The course covered important areas such as Generative AI, machine learning techniques, recommendation systems, prompt engineering, and responsible AI practices. The support from mentors and the learning platform provided by Great Learning made the entire experience smooth, engaging, and highly interactive. Overall, it was a rewarding program that strengthened my understanding of AI and helped me gain practical exposure to building intelligent solutions. Highly recommended for professionals who want to explore AI and data science using a no-code approach.  Read less

I’ve really enjoyed the No Code AI and Machine Learning: Building Data Science Solutions course so far. It makes AI and machine learning approachable, even for professionals who don’t come from a traditional data science background.The course material is well organized and progressively builds from fundamentals to practical implementation. I especially appreciated how we applied concepts directly through projects instead of just learning theory.The hands-on exercises helped me:

• - Understand model evaluation and performance metrics.
• - Think critically about data quality and preprocessing.
• - Apply machine learning to real business-style problems.
• - See how AI can be implemented responsibly and practically.

The instructors did a great job breaking down complex topics into manageable pieces. Their explanations are clear, structured, and focused on practical application rather than abstract theory.Overall, this course provides a strong foundation for professionals who want to bridge the gap between business and AI without needing to become full-time programmers. Read less

I was enrolled in the Applied AI and Data Science program with MIT through Great Learning. My overall experience was great, lots of support and excellent materials.  The program covers Python, data analysis, data visualization, generative AI, and machine learning. The program covers most of the courses needed to start a career in data or learn data science. The only hiccup with the program could be the Zoom sessions held on weekdays during work hours. If you have a job during the week on regular business hours, this could be an issue. If not, please go for it. Read less

The course was well-structured and covered essential concepts such as Python fundamentals, data analysis using libraries like Pandas and NumPy, data visualization, and applying insights to real business problems.The learning materials and recorded sessions were also very helpful for revision.Overall, this program significantly enhanced my skills in data analysis and business analysis. I would highly recommend it to anyone looking to build a strong foundation in Python and analytics Read less

My experience with the MIT Great Learning AI & Data Science program has been both intellectually thorough and genuinely transformative. The program is thoughtfully structured to balance strong theoretical foundations with hands-on, real-world application, which made complex topics like machine learning, data analysis, and generative AI far more approachable and practical.
The instructors demonstrated deep expertise and a clear ability to explain complex ideas in a way that encouraged critical thinking rather than rote learning. The support from mentors and the structured learning path helped maintain momentum, even when tackling complex material.   Overall, this program strengthened both my technical skills and strategic mindset, giving me greater confidence in applying AI and data science to solve meaningful real world problems. I would highly recommend the MIT Great Learning AI & Data Science program to professionals seeking a comprehensive, practical, and forward-looking education in this field.

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Great learning experience and course. Really well organised and planned. Knowledgeable tutors, great support and good learning tempo. I have enriched my knowledge and gained extraordinary expertise in the field of data science,ML and AI that will benefit me for many years to come. Read less

I loved the AI course from Olympus GreatLearning affiliated with MIT. I had been wanting to get on the AI journey since quite long but I am happy that I chose this specific course as it gave me all the required concepts knowledge along with some great real-world projects. I was effectively able to put the theoretical concepts knowledge into the Python projects. I could implement various modeling techniques. I am very pleased with what I learnt. Read less

I recently completed the AI in Healthcare certificate program from Johns Hopkins University through the Great Learning platform, and the experience exceeded my expectations. The platform was exceptionally well-structured and user-friendly, making it seamless to complete weekly quizzes and reflective essays on time without any technical friction.

The course content itself was outstanding. The recorded lectures by Dr. Ian McCulloh and Dr. Daniel Byrnewere insightful, engaging, and highly relevant to real-world applications of AI in healthcare. Complex concepts were explained clearly, with a strong balance between theory, practical examples, and ethical considerations. The mentored learning sessions further enriched the experience by enabling deeper discussion, concept clarification, and real-time engagement.

I would also like to extend special thanks to Pragya Kukreti for her exceptional support throughout the program. Her responsiveness, guidance, and proactive assistance made a significant difference, ensuring a smooth and motivating learning journey from start to finish.

Overall, Great Learning provided a high-quality, well-supported, and intellectually rewarding experience. I highly recommend this platform to professionals looking to upskill in AI, particularly in specialized domains like healthcare.





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I enrolled in this no-code AI and machine learning course to understand how AI works in real business scenarios without needing a technical background, and it delivered exactly that. The course breaks down complex AI and ML concepts into clear, structured modules that are easy to follow, even for non-programmers. This course is ideal for business leaders, product managers, consultants, or anyone who wants to work with AI confidently without becoming a data scientist. Overall, it was practical, well-organized, and immediately applicable. Read less

 My experience with No Code AI and Machine Learning: Building Data Science Solutions was extremely positive. The course broke down complex ideas into clear, manageable concepts and emphasized a practical, no-code workflow that made learning smooth and enjoyable. By removing the need for heavy programming, it allowed me to concentrate on analyzing data, designing solutions, and understanding how AI and machine learning are applied in real scenarios. Overall, it was an engaging and empowering experience that strengthened my skills and confidence in building data-driven solutions.  Read less

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. Read less

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. Read less

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. Read less