Great Learning

The overall learning experience was very good. This is a good one for the people who would like to dip their feet and get a feel of what happens in the background. The recordings, instructor and support was very good. One needs to be clear that the course requires investment of time as this is within a short time frame. Read less

Being new to data science and machine learning, I looked forward to the course with a mixture of excitement and a little bit of apprehension as i was not too sure of what to expect. However, my overall experience has been a positive one despite some challenges in keeping up with practical work, submission of assignments etc as i work full-time and the demands of my work made it difficult. The instructors were knowledgeable about the subject material and taught well. The program staff also provided excellent assistance and support throughout the course and I would like to especially commend the program manager Zeba Ansari for her professionalism and support Read less

After attending the 12 week class “No Code AI and Machine Learning: Building Data Science Solutions by MIT Professional Education - Digital Plus Programs" through Great Learning” I can report that this was an amazing learning opportunity.  This course provides a solid background and understanding of AI and ML capabilities today, as well as an opportunity to practice using No Code tools to hands on solve real world problems.  I highly recommend this course.   Read less

I recently completed the Data-Driven Decision-Making course offered through Migrate Learning in collaboration with MIT, and the experience has been nothing short of transformative. From the in-depth curriculum to the incredible support from staff, every aspect of the program was designed to facilitate meaningful learning.Course Content and Learning ExperienceThe course provided an extensive exploration of critical data science topics, such as supervised and unsupervised learning, deep learning, computer vision, and neural network models. Each topic was introduced in a structured and engaging manner, allowing concepts to build progressively. The focus on hands-on projects was a standout feature, offering participants an opportunity to apply advanced methodologies to real-world problems. For example, learning to leverage computer vision techniques for processing complex visual data significantly enhanced my analytical capabilities.The course also included practical applications for fields such as marketing analytics, AI innovation, and agriculture research. Participants noted being able to use AI tools for tasks like phenotyping and yield prediction or improving customer data modeling. This emphasis on practicality makes the course not only educational but directly applicable to diverse industries.Staff and MentorshipA key strength of this program was the incredible support provided by the staff. Special thanks to Zeba, whose professionalism and unwavering assistance made the learning journey smooth and enjoyable. Additionally, the mentorship sessions with industry experts were invaluable. These mentors provided personalized guidance, offered insights into real-world applications, and helped clarify challenging concepts.Course Structure and DeliveryThe program's structure was thoughtfully designed, with content divided into manageable modules. Quizzes, assessments, and live sessions reinforced the material, making it easy to follow and retain information. Weekly instructor-led sessions brought the concepts to life, while the capstone and additional projects helped cement the learning.The inclusion of no-code AI tools further enhanced accessibility, empowering participants with little coding experience to engage deeply with data-driven decision-making techniques. This aspect was particularly praised by those looking to upskill in AI and ML without a heavy technical background.Practical RelevanceOne of the most impactful aspects of this course was its focus on practical, hands-on learning. Real-world case studies and multiple projects allowed participants to directly translate theoretical knowledge into actionable insights. Whether developing data pipelines or refining analytical strategies, the course prepared learners to tackle real-world challenges with confidence.ConclusionThis program is an exceptional choice for anyone looking to gain a comprehensive understanding of data science, AI, and machine learning. The combination of academic rigor, practical projects, and expert mentorship ensures that participants not only gain knowledge but also build confidence in applying it.If you're considering advancing your career in data-driven decision-making, I highly recommend this course. It’s an investment that delivers real, tangible value, whether you're new to the field or an experienced professional aiming to sharpen your skills. Thank you, Migrate Learning and MIT, for an incredible experience! Read less

Embarking on the AI no-code tools program has been an incredible experience! 🌟 The curriculum is well-structured, making complex concepts approachable even for beginners. The hands-on projects have been particularly impactful, allowing me to immediately apply what I’ve learned and see tangible results.The support from the instructors and the community has been exceptional. Whether it’s through live sessions or quick responses to queries, I’ve always felt encouraged and guided.This program has significantly boosted my confidence in leveraging AI for practical applications without needing deep coding skills. I can already see the impact on my career, and I’m excited about the possibilities ahead.I highly recommend this program to anyone looking to dive into the world of AI with ease. Thank you, Great Learning, for empowering learners like me to unlock new potential! 🚀 Read less

Valuable platform with Instructors who highly demonstrate deep knowledge and industry experience in very effective teaching style. AI for leaders course offered me an engaging and interactive content that is well-structured, learner-friendly, and flexible access specially for someone like me with a full-time job and other commitments. It is the right equipped decision that I took diving into uncharted area of AI. It provided the learning, hands on, and confidence! Great team to work with , special thanks to Akash for continuous support and follow up!  Read less

This MIT Data Science and Machine Learning course anchored by Great Learning was exciting, intensive and challenging. It seamlessly introduced me to Data Science and machine learning, covering both the theoretical as well as the practical aspects of the course.  The classes were hands on and engaging. The technical support team were superb, helping me to resolve my initial technical issues. I personally wish to thank the Program Manager Sakshi for being so helpful and understanding, making sure I was able to complete my projects despite my tight work schedule. 
Overall, I will gladly recommend this course to anyone that want to delve into data science and machine learning. It was indeed a great  and enlightening experience. Read less

I whole heartedly recommend  the continued education courses offered by Great Learning.  The program design  is highly effective, introducing me to new exciting topics in AI and Machine Learning.  The pace is well-balanced, allowing  for thorough comprehension  without  unnecessary  detail. The instructors and mentors are both responsive and engaging, making the learning experience  enjoyable. I encourage  others to embark on their  own learning  journey  with Great Learning. Read less

This course is great to learn about how to build AI and ML models to apply them to real use cases without the need of code. Whether you want to learn how to analyze the models results and make business recommendations or be hands-on with AI-ML no code tools, this course will give you the skills you need to do it. 
Great Learning platform is friendly and easy to navigate, the content and the materials are valuable and very well structured, the instructors are a reference in the field and the mentored learning sessions allow you to clarify doubts and expand your knowledge. Read less

I’m currently halfway through the No Code AI & ML course by MIT (started at the end of August), and I can genuinely say it’s been an incredible learning experience so far.

The format is excellent—everything is structured in a way that suits a busy professional like me. The videos are engaging, and I love that I can watch them at my own time and pace. The bite-sized quizzes are a personal favorite; they’re quick, effective, and ensure I’m following along without feeling overwhelmed. These mini-checks help solidify the learning and keep me on track.

Another highlight is the team’s follow-up throughout the course. They’re incredibly supportive, whether it’s about the coursework, exams, or projects. Their attention to detail and the way they check in shows they care about participants’ progress and success.

The course also includes real-life projects that make the content highly relevant and practical. These projects have been eye-opening, showing how AI and ML can be applied across industries, even without coding knowledge.

That said, the course does demand a lot of self-discipline. It’s manageable if you stay focused, but it’s easy to get caught up in day-to-day work or mundane tasks. Balancing everything has been challenging at times, but it’s also very rewarding.

At four months, the course is well-paced, and I’m truly enjoying the journey. Halfway through, I already feel like I’ve gained a lot of valuable insights, and I can’t wait to see how much more I’ll learn by the end. 

If you’re looking to build a strong foundation in AI and ML without prior coding experience, this course is fantastic—but only if you can stay committed.

Thank you, MIT, for such a well-designed and thoughtful program!


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I recently completed an AI course, and it was an excellent learning experience. The course covered key concepts like machine learning, neural networks, and practical applications of AI in a clear and structured way. The hands-on projects were especially helpful in solidifying my understanding, and the instructors were knowledgeable and responsive.  Read less

It was important for me to make a deep-dive into the worlds of AI&ML and I couldn't be happier joining this program from MIT. If you're looking for the spark to ignite your interest, this is for you. Contents are carefully curated with solid materials and project work - enough to get-started as well as take it further. Tools used in this programs are very practical - you must be willing to put in a few hours of work per week. Mentoring plus the hands-on sessions are invaluable, especially since they're on the weekend. Read less

I am Krishna Srinivasan. I signed up for the NoCode AI course with MIT Professional which is offered through Great Learning. Starting from the initial preparation and installation of tools until now I learnt the very necessary skills that I was expecting from this course. I learnt the fundamentals on how I should look at the data. The mandatory training by experienced professionals and 
the recorded videos of the faculty of MIT are outstanding. I definitely recommend the course whoever wants to learn the fundamentals of AI and further to expand. Read less

It has been three transformative months since I embarked on the MIT-NO CODE AI AND MACHINE LEARNING online course by My Great Learning. Approaching the final stages of my career, I now feel an exhilarating sense of renewal and the possibility of a fresh start. This course has not only revived my understanding of engineering mathematics but has also unveiled the practical applications of math I had learned from high school onward. 
The course is a revelation, opening doors to a world I never knew existed. Enrolling in this program stands out as one of the best decisions I have ever made. I owe a great deal to my friend for recommending it. The course is meticulously structured, with each module seamlessly building on the last. By the fourth or fifth module, everything starts to coalesce, and the holistic picture becomes clear. 
The course material is top-notch, and the instructors go above and beyond to ensure comprehension. Their expertise is evident, and they patiently address every question. The administrative support is incredibly responsive and helpful. I am particularly thrilled that I will have access to the course materials even after completion, a feature that is invaluable for ongoing learning and reference. 
Whether you are at the beginning, middle, or near the end of your career, I highly recommend this course if you are unfamiliar with AI or machine learning. It will not only expand your knowledge but also broaden your perspective and enhance your career potential. Read less

The MIT No code AI and Machine Learning course turned out to be an excellent choice for me!

The materials are robust, the pace is adjustable and the mentors are leaders in the field. The options for hands-on tools are proven and not difficult to digest with little experience!

Our program managers excel at student guidance and services!

This is a must for anyone who wants to understand AI and enhance their career knowledge! Read less

The Data Science and Machine Learning course provides an immersive and comprehensive journey into the core concepts, tools, and techniques essential for aspiring data science and machine learning practitioners (not professionals). The curriculum covers the breadth of the field, from data preprocessing and exploratory data analysis (EDA) to advanced machine learning models and hyperparameter tuning.One of the standout features is the emphasis on practical, hands-on learning. Tasks such as analyzing lead conversion rates, building decision trees, and optimizing random forest models provide real-world relevance. The inclusion of actionable insights through hyperparameter tuning and performance evaluation reinforces best practices in model building and deployment.The course also fosters a deeper understanding of data preprocessing, including feature engineering, outlier detection, and handling missing data, which are critical for building robust machine learning models. Visualization techniques, like ROC curves and feature importance plots, are effectively taught to enhance interpretability.
It is very important to highlight the amazing support team that the course has. They are always available, not only for solving questions, but also in case you have any inconvenience in submitting assignments or connecting to classes. They are very kind and understanding.

Overall, I enjoyed the course very much, and I find it extremely useful and relevant. Read less

Great lectures and great content.
Covers fundamentals to advanced topics
Stunning faculty with handful experiences.
Great dedication, coordination, mentorship and guidance from the program managers. I am fully satisfied with the extra support they have provided me o complete the course.
Money spent on this course, worth it indeed!
Great place to skillup yourself. Excellent quality of learning content.
This would really help career transition to Data Science, AI and ML
The program is seemless with highly skilled faculty.
Relatively this is the great platform to upskill. Read less