MIT xPRO | Bootcamps

Great Learning have facilitated my course in a tremendous and easy manner, their instructors are vey seasoned professionals in practice and in academia, which enriches the learning experience, their platform is easy to use and their tech support is very handy and cooperative. Collectively, it’s a great and fruitful learning experience ! Read less

I highly recommend the MIT No Code AI course for its exceptional learning experience. The content aligns perfectly with my expectations, offering a practical and engaging curriculum that fits well with my work commitments. The flexibility of having self-study materials available in both video and text formats is particularly convenient. Moreover, the projects are not only relevant but also exciting, which keeps the learning process interesting. The overall structure of the course—combining mentoring sessions, assessments, and manageable weekly milestones—helps maintain a steady commitment to learning. This balanced approach ensures that investing time here is worthwhile, blending educational goals with personal and professional responsibilities effectively. Read less

MIT's IDSS machine learning course offers a comprehensive and rigorous exploration into the foundations and advanced applications of machine learning. As a student enrolled in the course, I found the experience to be both intellectually stimulating and practically enriching.

The course covers a wide array of topics essential to understanding machine learning techniques. From supervised and unsupervised learning algorithms to deep learning architectures, the syllabus is designed to provide a deep understanding of both the theoretical underpinnings and practical implementations of machine learning models.

The quality of instruction is exceptional, as expected from MIT. Professors bring a wealth of experience and research expertise to the classroom, delivering lectures that are clear, engaging, and backed by cutting-edge research. They are also accessible outside of class, which greatly enhances the learning experience. Highly recommended for aspiring data scientists, researchers, and professionals seeking to stay ahead in the rapidly evolving world of machine learning. Read less

What I liked the most about the program "No Code AI and Machine Learning: Building Data Science Solutions" from MIT so far is that the content is relevant and updated. Right now, everyone is talking about artificial intelligence, so it's important to understand the depth and foundation of what the program covers. The course is well-organized, helping me to gradually and solidly understand key concepts. The high-quality materials, like readings, videos, and exercises, make it easier to learn.  Interaction and support from instructors and peers have been very helpful. Practical examples and case studies show how to apply theoretical concepts in real life.  Being able to learn at my own pace has been crucial for balancing studies with other responsibilities.  The platform is easy to use and navigate, which makes the learning process smoother.  Working on a no-code machine learning model is a great advancement for all types of users.  These aspects have significantly contributed to a positive and effective learning experience.



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Course was well structured. Some topics are too theoretical while studying, but gives opportunity to apply as part of project assessments. Every week, You will be assigned a new topic with recorded lectures by MIT faculty and one mentored lecture over zoom on weekend morning where you can get clarifications on your doubts and run through one sample project implementation of that topic . Assessments are weekly based with learning breaks in between . Overall, it’s very demanding depending on your work schedule . Course Project management team is very helpful by understanding our concerns and solving issues on timely basis. They also take regular feedbacks for course improvements. 

Overall good course for solid beginning into Machine Learning area .  However , it would have been nice to  cover Deployment of models and other job ready things as part of this course, but we need to learn them outside. . Hopeful to find new opportunities as Machine Learning engineer. Read less

I recently completed the AI/ML no-code class on Great Learning, and I am thoroughly impressed with the course content and the learning experience it provided.

The class was designed to be accessible to individuals without any prior coding experience, and it truly delivered on that promise. The instructors were knowledgeable and presented complex concepts in a clear and engaging manner. The course was well-structured, starting with the basics of AI and ML, and progressively building up to more advanced topics.

One of the highlights of the course was the hands-on projects that allowed me to apply what I learned in real-world scenarios. The platform provided all the necessary tools and resources, making it easy to follow along and complete the assignments. Additionally, the interactive quizzes and exercises reinforced my understanding and helped me retain the information.

The community aspect of the platform was also a significant advantage. I appreciated the forums and discussion groups where I could interact with fellow learners, ask questions, and share insights. The support from both peers and instructors was invaluable.

Overall, I highly recommend this AI/ML no-code class to anyone interested in exploring the field of artificial intelligence and machine learning without the need for coding skills. It’s an excellent starting point for beginners and provides a solid foundation for further learning.


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I graduated from the MIT Professional Education Applied Data Science Program! Over 5 months, I learned a ton. Weekly courses and projects covered data science statistics and Python coding. The best part? Real professionals from the field guided us. Their practical experience made explanations clear and engaging. They were also there to answer questions – super impressive!  Read less

I just finished MIT- PE No Code AI & Machine Learning (NCAIML) at MIT. I am very satesfied with overall experience, instructors and assistance during the program. Program covers a lots of about AI/ML and exaples of how we can implenet knowledge in many industries. Read less

I recently completed the MIT AI/ML No Code Program by MIT Professional Education.  The Program was facilitated by Great Learning.  My experience was overall great.  The hands-on projects were helpful to apply the concepts learned throughout the courses.  Positives: Relevant material and knowledgeable instructors.  The only constructive criticism would be: some of the courses moved at a very fast pace for those without a coding background and/or prior experience using the no code tools.  While there was ample communication and communication methods, there were occasions where it would have been helpful to have 1:1 time with an instructor as opposed to group sessions.  I do not consider this to be a major issue/concern as this is an online/remote course, this is only feedback for what would enhance the program.  The platform itself was easy to use/navigate.  It would be helpful if the videos could be downloaded for use while not connected to the internet. Overall, I was pleased with the course and content and would recommend to others.   Read less

I decided to go into this program in order to help supplement my degree and get a job in data science. Now, I will soon be finishing the program and I am looking towards applying for jobs in the field equipped with an impressive credential and all of the knowledge that I need. Lecturers were helpful, insightful, interesting, and above all accommodating to me working a full-time job, as well as having other responsibilities to manage. I could not recommend more if you are looking to take the first steps into a career change or are looking to advance your career to that next step. 10/10. Read less

It has been an amazing opportunity to attend such an amazing and comprehensive course. The support provided by Great Learning was phenomenal. The mentors were very thoroughly and  amazing to work with. They were knowledgable and taught the classes very well. I gained a more thorough understanding of certain topics after attending the mentoring sessions.  Read less

If you are interested in learning the foundations of AI & ML then I highly recommend MIT's No Code AI & ML course. It's an intensive 12 weeks that dives into the history, the algorithms, and the future of AI. The instructors are knowledgable and the course provides a handful of no code tools that you can use for free. My project manager Juhi, was there to support me every step of the way, especially when I had concerns or didn't understand an assignment. Prior to taking this course, I was unable to tell you how AI works, but now I am amazed by how much I truly understand. Thank you. Read less

I had great expectations, considering it was MIT. However, my expectations were exceeded. The course offers us all the necessary roadmap to learn and continue learning. I would do it again for sure.
All modules are well thought out and we build solid knowledge throughout the course, at the same time as we build a portfolio of projects capable of boosting our career. Read less

This 12 week program in Data Science provided well rounded exposure to a variety of statistical concepts and coding methods. The program director, Jasper, was welcoming, responsive, and hosted a great orientation. The majority of content is delivered through bite sized video modules and handouts.  The projects are interesting and relevant. The speed of the program makes it difficult  for employed adults to deeply master any particular module, but the general exposure is useful. I recommend lengthening the program to 4-5 months and including SQL.  Read less

Great Learning's AI/ML course impressed me. 
The well-structured curriculum and knowledgeable instructors made learning engaging. Interactive online mentor sessions and a supportive program manager ensured a smooth learning experience. I highly recommend this program.


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This No Code Data Science program has been a great approach for me towards AI, especially considering I'm not technical. The business cases are fantastic; they help a lot in understanding how to apply algorithm models in real life with real cases. It's been really helpful for the sales area I manage; I'm implementing a predictive model to determine the probability of closing sales for each opportunity. Read less

Embarking on the MIT No-Code AI and Machine Learning program has been an enlightening journey, reshaping my understanding of the technological landscape and its potential impact on various industries. My experience has been nothing short of transformative, equipping me with invaluable skills and insights that have broadened my perspective on AI and machine learning applications.

Throughout this program, I've delved into cutting-edge concepts and methodologies without the need for traditional coding. This approach has allowed me to grasp complex algorithms, data analytics, and predictive modeling in a more accessible manner. It's been empowering to realize that one doesn't need to be a coding expert to harness the power of AI and machine learning effectively.

The knowledge and skills I've gained from this program are not just theoretical; they're practical tools that I can apply directly to real-world scenarios. Whether it's optimizing business processes, enhancing customer experiences, or making data-driven decisions, I feel confident in my ability to leverage AI and machine learning technologies to drive meaningful change.

As I look forward to leveraging these newfound capabilities in my career, I'm excited about the opportunities that lie ahead. I believe that the insights I've gained will not only shape my professional trajectory but also inspire others to explore the transformative potential of AI and machine learning.

By sharing my learning journey and experiences, I hope to encourage more people to embrace the opportunities presented by emerging technologies. Whether you're a seasoned professional or a curious learner, there's always room to grow and innovate. The MIT No-Code AI and Machine Learning program has certainly been a catalyst for my growth, and I'm eager to see where this journey will take me next. Read less

Great Learning Institute exceeded my expectations. The knowledgeable faculty, engaging course content, and exceptional support made my learning experience truly valuable. I particularly appreciated their focus on the course without any cross selling or over selling, allowing me to fully concentrate on the program. I highly recommend Great Learning Institute for anyone looking to enhance their skills in a supportive educational environment. Read less

Joining the MIT Data Science course with Great Learning was a game changer. It was amazing how they mixed book stuff with real hands-on work. I got to do what I was learning, which helped me understand everything better. The part about digging into data and figuring out what it means was super cool. It wasn’t just about looking at numbers. It was about seeing the big picture and finding answers to real problems. This course didn’t just teach me about data science – it taught me how to think and solve problems like a data scientist. Doing the assignments and the big project at the end was challenging but rewarding. It felt like I was working as a data scientist, trying things out, sometimes getting it wrong, and then trying again until I got it right. And I’ve got to give a big shoutout to Surjeet and Dr. Ruchi. They were helpful and always there when I needed guidance or got stuck on something tricky. They ensured we all understood the stuff and could use it in real life. Overall, this course was a fantastic experience. I learned a ton, and it’s already making a difference in my career. If you’re considering diving into data science, this is the way to go! Read less