Great Learning

My experience at Great Learning School in the Data Science & Business Analytics program has been very valuable and transformative. The well-designed curriculum thoroughly covers the key concepts, from detailed data analysis to advanced machine learning methods, including practical and realistic case studies that make the learning clear and engaging. The instructors, who are experts in their fields, provide consistent and strong support throughout the course.This bootcamp has helped me improve my technical skills as well as build my confidence to address complex business problems by using data effectively. I highly recommend Great Learning to anyone who wants to gain a solid foundation and make meaningful progress in their data science career.

Sincerely,
Christian Tsala                                                                                                                                                                                 Read less

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.  Read less

Over the past eight months, I have been pursuing this AIML program alongside a demanding full‑time role, dedicating my evenings and weekends to learning. Despite the challenging schedule, this journey has been incredibly rewarding, and I want to express my sincere appreciation to the training team for their consistent support throughout.


The Saturday mentor‑led sessions have been especially impactful. Each session offered clear, thoughtful explanations of the week’s concepts and helped bridge any gaps in my understanding. Whenever I felt uncertain or stuck, these sessions provided the clarity I needed. My mentor’s guidance has played a significant role in strengthening my grasp of the material, and I genuinely looked forward to these weekly interactions.


I would also like to acknowledge the program manager’s exceptional support. She was always mindful of my work commitments and helped me stay aligned with the course schedule whenever tight timelines at work created hurdles. Her encouragement during those challenging periods made a meaningful difference and helped me maintain steady progress throughout the program.


Overall, this experience has been both enriching and motivating. I am grateful for the dedication, flexibility, and support shown by the entire training team, which enabled me to successfully balance my professional responsibilities with this learning journey. Read less

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! Read less

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I enrolled in the UT Austin McCombs/Great Learning AI & Machine Learning certificate because I wanted to stay current in a rapidly evolving field—and because I was quoted nearly $70K to build a system I realized I could learn to engineer myself. Even with past experience as a Navy computer network technician, it had been 15 years since I’d touched this level of math, code, or data work.The program delivered exactly what I needed. The seven-month structure kept a strong pace without feeling overwhelming, and the combination of lectures and weekly live sessions made advanced concepts approachable. The mentors were exceptional—hands-on, supportive, and quick to help translate theory into practical application.What stood out most was the program’s value. Compared to other AI offerings, the cost felt reasonable, and the supplemental career tools—resume reviews, career guidance, and skill-building resources—were genuinely useful.By the end, I felt equipped to design and implement real AI/ML workflows: data pipelines, model development, evaluation, deployment strategies, and automation patterns that map directly to industry needs.If you're looking for a comprehensive, practice-driven foundation in AI/ML that prepares you to work with modern tools and build production-aligned systems, this program is absolutely worth it.Highest recommendation. Read less

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. Read less

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. Read less

The MIT xPRO No-Code AI & Machine Learning program has been an outstanding experience from start to finish. What impressed me most was the balance of academic rigor and practical application. The Business Interpretation track is especially well designed — ideal for professionals who want to understand AI and ML deeply without needing to code.


Throughout the program, I was juggling major life changes, including a move to Japan and daily family responsibilities. Despite this, the pacing, structure, and accessibility of the material helped me stay consistently engaged and on track. The Great Learning team checked in often, offered encouragement, and made it clear they cared about each learner’s success.


This program has expanded my professional toolkit and given me the confidence to move into roles that require a strong understanding of AI-driven decision-making. I’m genuinely looking forward to applying these skills in my next chapter.


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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. Read less

I recently completed the Data Science and Machine Learning: Making Data-Driven Decisions program offered by MIT IDSS through Great Learning, and I found it to be a genuinely enriching and well-supported learning experience. The course is rigorous and demands more than the suggested 8 hours per week if you want to fully absorb the material, but that’s part of what makes it so rewarding.



The teaching model is one of the program’s strongest points: short videos followed by immediate questions, then a set of practical exercises. This format really helps solidify concepts and makes the learning journey engaging and effective. It’s a key differentiator that sets this course apart from many others.



In terms of support, the Great Learning team is exceptional. They are always attentive, quick to help, and flexible whenever you need extra time or assistance. This level of personalized attention makes a big difference and justifies the premium pricing, creating a warm and supportive learning environment.



As an honest piece of feedback, there are a couple of areas that could be refined. For instance, while most modules use the short-video format effectively, some modules still have longer videos that could be broken down further to maintain the same dynamic flow. Shorter segments with quick questions in between are incredibly effective, and applying this approach more consistently would make the experience even better.



In addition, while I personally found the hands-on projects to be the highlight of the course—allowing me to explore data and build models in a deeply satisfying way—I did notice that some projects had more rigid guidelines that limited a bit of creative freedom. It might be nice to balance structure with a bit more flexibility in those assignments.



Overall, I highly recommend the program. It’s a top-notch experience with a strong support system and a teaching approach that truly helps students learn. With a few minor tweaks, it could be even better, but it’s already an excellent choice for anyone serious about data science and machine learning. Read less

I have taken the No Code AI and Machine Learning: Building Data Science Solutions from MIT and Great Learning. It has been a great experience since I got the chance to  improve my analytical skills, while learning more about AI. I feel that this knowledge will definitely differentiate myself as a professional. Read less

Course lead Nandini is very helpful and professional. I was able to get value from the course due to her help. Thank you so much!
Course lead Nandini is very helpful and professional. I was able to get value from the course due to her help. Thank you so much!!!!!




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Amazing experience trough the No Code AI and Machine Learnig course. Platform and instructor are excellent. The content is very helpfull to understan and apply concepts of AI and Machine Learning in a modern way. For sure I'm improving my professional skills with all above the course. Read less

Before I enrolled in the Post-Graduate Program in Artificial Intelligence and Machine Learning from the University of Texas at Austin, I had zero experience in Artificial Intelligence.  After completing the 7-month program, I now have a solid foundation of knowledge in various AI fields, including Machine Learning, Neural Networks, Natural Language Processing, and Computer Vision.  The program has opened a broad range of career opportunities that I can pursue.  The program is fast-paced, very comprehensive, and worth every penny!  In addition to the breadth of knowledge, learners who complete the program receive a certificate from the University of Texas at Austin. Many thanks to the Great Learning program managers, mentors, and the entire Great Learning team who have helped every step of the way!  I am glad I enrolled, and I am looking forward to an exciting new career in AI. Read less

I took this course to gain some insights into AI without much coding. I had no previous exposure to Machine Learning. This course went beyond my expectations. It exposed me to the different concepts in AI and ML. The accompanying math lectures by MIT faculty provided just the right dose of math to understand the concepts. The mentored learning sessions (MLS) were very informative and the mentor (Denver Dias)  experience in data science enhanced the sessions as he could provide some things on how things work in the industry. I enjoyed the hands on projects as it gave me good exposure on building models to handle real world scenarios.  I highly recommend this course for anyone starting out in AI and ML. Read less

I recently completed the No Code AI & Machine Learning program, and it exceeded my expectations. The pace of the program is rigorous, and the topics can be challenging, but the faculty guidance along with the mentorship sessions were instrumental in navigating the more difficult material. By the end, I had built a portfolio of three industry-relevant projects that demonstrate practical AI capabilities. If you're serious about learning AI, this program delivers real, applicable skills. Highly recommended! Read less

I recently completed the Postgraduate Program in Data Science and Business Analytics, as well as Generative AI for Business Applications, at Great Learning, and it was an exceptional educational experience. The curriculum is precisely constructed, comprehensive, and highly relevant, comprising fundamental subjects such as Python, machine learning, data visualization, statistical modeling, and practical applications of Generative AI. I particularly valued the focus on hands-on experiences, where assignments and capstone projects offered opportunities to directly apply concepts to real-world business challenges.

 I would also like to extend my sincere appreciation to my Program Manager, Mr. Yugeesh, for his unwavering support and prompt guidance throughout the duration of the program. His professionalism and promptness fostered a seamless and motivating learning environment.

 Overall, I strongly recommend Great Learning for individuals seeking to develop robust data and AI competencies. The program imparts both expertise and assurance necessary to succeed in today’s data-driven world. Read less

The Post Graduate Program in Data Science and Business Analytics is a comprehensive and industry-oriented course designed to bridge the gap between data, technology, and business decision-making. It offers a well-balanced curriculum covering essential concepts such as statistics, machine learning, data visualization, predictive modeling, and business strategy. One of the key strengths of the program lies in its practical approach, with hands-on projects, case studies, and real-world business applications. Overall, this program offers an excellent foundation for anyone aspiring to build or advance a career in data science, analytics, or business intelligence, providing both the technical expertise and strategic mindset needed in today’s data-driven world. Read less