MIT xPRO | Bootcamps

I completed the MIT Applied AI and Data Science Program and fully recommend it. The curriculum is well structured, beginning with essential programming and statistics and progressing through all major areas of AI, including generative AI in high‑quality lectures and exercises. A pre‑work module helps you prepare, weekly assessments keep you on track, and the project work ensures real hands‑on learning.The practical components of the program and case studies are particularly valuable. The program management provides excellent support—reliable, responsive, and genuinely helpful, especially when schedules get tight. If you are a working professional, it is a timely demanding program, and you must be ready to put in the work. A clear recommendation! Read less

This program is what I expected.
I missed the skill to analyze data.
With this program, I can analyze data and hopefully can Make good decision especially in my business.
One thing that outstanding and really deserve some credit is the support from the Program Manager (Urvashi).
She help me a lot and make me possible to finish the program.
In the end, this program is recommended for someone that want to learn analyze data or to learn about AI.

Thank you! Read less

I enrolled in the MIT Applied AI and Data Science Program because I wanted more than a theoretical introduction to AI. I wanted practical data science and machine learning skills that I could apply in my professional work. The program delivered exactly that.What I appreciated most was the balance between strong academic foundations and hands-on projects. The assignments and case studies helped me understand not only how machine learning models work, but also when and why to use them in real-world scenarios. I came away with a much better framework for approaching data-driven problems, evaluating AI solutions, and communicating technical concepts to stakeholders.The support from Great Learning, combined with MIT’s rigorous curriculum, created a learning experience that was both challenging and rewarding. As a working professional, I also found the program structure manageable alongside a full-time job.If you're looking for a program that helps you build practical, job-relevant skills, I highly recommend it. Read less

I would highly recommend this course and the Great Learning platform to professionals and students who want to learn new skills, enhance their careers, or expand their knowledge. It is a wonderful program designed and managed by Great Learning, and they truly delivered on everything they committed to.


The program covered all the major topics in Data Science and Generative AI in great depth, with sessions led by MIT faculty as well as Great Learning mentors. What I liked most was that the same topics were often taught twice — once by MIT faculty focusing on academic concepts, and again by top industry leaders who shared real-world examples and practical experience. On top of that, we also had revision classes to ensure we developed a strong understanding of the topics.


I also really appreciated how well the entire program was executed, and I would especially like to give a shout-out to Samuel Moris for his outstanding support. He proactively took care of every step needed for us to progress smoothly through the program. He was always available whenever help was needed and made sure we were able to balance classes with our personal lives.


Overall, I had a wonderful experience with the Great Learning program.


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I’ve really enjoyed the course so far. The program does a great job of simplifying complex concepts and showing practical real-world applications of AI across different industries. I especially like that it focuses not just on theory, but also on how AI can improve decision-making and business operations. Overall, it’s been a very insightful and valuable experience.


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“A challenging, rewarding journey into data science”

I attended the Jan–May 2026 cohort, and this experience has been very valuable for me. The program was more intensive than I expected, but within four months I gained knowledge and tools that allow me to confidently tackle difficult real-world problems.

Thanks to the strong mix of theory, curriculum depth, hands-on labs, outstanding clarity from MIT professors, excellent tutors, and supportive staff, I had a great overall learning experience.

For a working professional, weekly lessons can feel intense — but it’s worth it. The calendar, timelines, and deadlines were easy to follow. I recommend this program to any software professional who wants to jump into the fantastic world of data science.

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I successfully participated in the Data Science and Machine Learning: Making Data-Driven Decisions programme offered by MIT Institute for Data, Systems, and Society (IDSS) and facilitated by Great Learning, and I consider it one of the most academically rigorous and professionally enriching learning experiences in my data and analytics career.The curriculum is exceptionally well-structured, progressing logically from foundational statistical concepts to advanced machine learning applications. Core topics such as regression and predictive modeling, classification techniques and hypothesis testing, supervised versus unsupervised learning, deep learning architectures, recommendation systems, and ethics in artificial intelligence were delivered with clarity, depth, and strong practical relevance.A major strength of the programme lies in its hands-on, applied learning approach. The use of Python-based implementations, real-world case studies, well-designed projects, and frequent quizzes ensured that theoretical concepts were immediately translated into practical competence. This approach significantly strengthened my ability to design, evaluate, and interpret data-driven solutions in real business and policy contexts.Equally impressive was the emphasis on decision-making, not just model building. The programme consistently reinforced how analytical outputs should inform strategic, ethical, and operational decisions—an aspect often missing in purely technical courses. The inclusion of AI ethics and responsible data use further enhanced the programme’s relevance in today’s regulatory and societal landscape.Overall, this programme delivered outstanding academic value and tangible professional benefits. It sharpened my analytical thinking, deepened my technical expertise, and strengthened my confidence in applying advanced data science and machine learning techniques to complex, real-world problems.I would unreservedly recommend this programme to aspiring and practicing Data Scientists, Data Engineers, Data Analysts, and Analytics Leaders. It is a high-quality, well-curated learning investment that delivers both intellectual depth and practical impact, and one whose value extends well beyond the duration of the course.
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I know coding, I am very good at coding and it has shocking to me that suddenly people leaning on AI are better than me. Of course I have to type and they just tell the machine what to do. Dang it!, and what else could we expect? For decades we have been working on making things easy. Easy for the user, easy with new solutions we come up with. Science Fiction movies portrait a future with robots and smart things helping us with our chores. Well, that future is here and we'd better embrace it!

I started with the "No Code AI and Machine Learning" precisely for that, I want to expand my vision and be able to function, as an IT professional in this new AI environment. When I talked to the recruiter, she said that the course was exactly what I was looking for, MIT and Great Learning promised it, and they have been delivering on the promise. I am learning how AI work, first with the Machine Learning technologies (ML) and later with the Unsupervised Learning Neural Networks (NN). You see?, it sounds like Science Fiction, now I understand the phrase "it is learning from experience", when Ultron was getting self-created in the Avengers movie saga. Yes, he did it by means of Neural Networks, what else?   

In all seriousness, The course is comprehensive and has a clear view of the position these technologies have in the industry. I find it very useful for Prediction, Optimization, Risk Management, Medical solutions, Research, Banking, etc.

One more thing: When I registered, I noticed the "No Code" adjetive in the title. At first I noticed some friendly friction in between the coders and no coders, having No-Code tools expands the scope. Think about it, the focus is not your ability to code, the focus is that, as long as you understand your data, you find solutions and are able to deliver. If you do not code, you are still ahead. And if you know coding you can create a solution - using your creativity and the same principles and knowledge learned in the course.

Luis
Project Manager and Software Developer. Read less

I have recently completed MIT No-code AI with Great learning 12 weeks traing courses. It was wonderful experience.  The courses are designed very practical. Many hands on sessions and wide range  of industrial examples. 3 hands on projects were nessary and helped me to understand the statistics theory and hands on experience. Great Learning teams managed whole training courses very well. Kept us informed. Kept communication lines open with learners. Also Great Learning responsed to our quiries quickly through WhatsApp or forum. I am really happy that I made decision to attended this 12 weeks training courses.  Read less

In an environment saturated with information and hype about artificial intelligence, I wanted a structured and credible way to understand the fundamentals. This motivation led me to enroll in the MIT No-Code AI and Machine Learning Bootcamp.

What I found most valuable was the outstanding quality of instruction and course materials. The program made complex topics approachable and provided the clarity needed to grasp essential concepts. It offered practical, real-world tools that helped me think critically about how to apply AI in meaningful ways.

This experience has significantly deepened my understanding of artificial intelligence and machine learning, and has given me the confidence to engage in both strategic and technical discussions about these technologies. Read less

Overall Experience:

As a medical professional with no formal background in coding, I was initially hesitant about diving into AI. However, this No Code AI course by MIT USA delivered through Great Learning exceeded every expectation. The structure was thoughtfully designed, empowering non-tech professionals like me to confidently understand and apply AI in real-world scenarios.

Instructors:

Special thanks to Nagaraju Gooty, whose teaching style was intuitive, clear, and incredibly supportive. He made complex concepts easy to digest, especially for someone from a healthcare background. His real-world examples helped bridge the gap between theory and practical implementation.

Curriculum:

The curriculum is exceptionally well-balanced—introducing core AI concepts without overwhelming you. The mix of recorded lectures, live sessions, peer discussions, and hands-on projects was instrumental in building my confidence. The real highlight was how the program made AI accessible without writing a single line of code.

Job Assistance:

The career resources, networking opportunities, and project-based learning helped me explore new avenues where I can integrate AI into my healthcare consultancy work.i m hopeful anc willing to explore more opportunities with new skills !

Personal Note:

A heartfelt thanks to Saumya from MIT for your prompt support throughout—right from resolving group change requests to ensuring smooth learning access. I’m also grateful to my fellow learners for the insightful discussions and collaborative spirit.


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I’ve genuinely enjoyed my learning experience with Great Learning so far. The program is well-structured, the content is relevant, and the support from the team has been outstanding. I especially appreciate how approachable and responsive the mentors and coordinators are specially Saumya that give us the full suppot at any time and in any subject or note and it makes a real difference. Read less

Completing the No-Code AI & Machine Learning program was an incredibly enriching experience. The program made it possible to learn and apply machine learning and AI tools without any programming knowledge, opening up opportunities for people from various industries. The hands-on approach and practical insights will greatly benefit my industry, and I highly recommend it to anyone looking to dive into the world of AI. Thank you to the entire team for making such a transformative learning journey possible



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While searching for a high-quality course in Machine Learning and Data Science, I discovered the Applied Data Science Program offered by MIT Professional Education, in collaboration with Great Learning. From start to finish, the program team provided exceptional support.Before the live virtual classes with MIT faculty began, the Great Learning platform offered preparatory materials in Python and statistics, which helped refresh foundational knowledge and set the stage for the more advanced topics covered later. The live sessions themselves were among the best learning experiences I’ve ever had—deep, engaging, and led by world-class instructors.In addition to weekday lectures, weekend mentored learning sessions with industry professionals reinforced key concepts through hands-on projects, providing practical insight alongside theoretical understanding.I'm incredibly glad I enrolled in this program, and I highly recommend it to anyone seeking a top-tier learning experience in Data Science. Read less

After completing my master's in Data Science and Engineering, various life circumstances made it difficult for me to immediately apply what I had learned. Despite having over a decade of analytics experience, my current employer offered limited opportunities for advancement or skill development, which unfortunately led to my technical skills atrophying over time. I knew I had to take proactive steps to re-engage with the field — and enrolling in the MIT Applied Data Science Program was exactly the right decision.The material in this program felt significantly more accessible and practical compared to what I encountered during my master's program. This wasn’t just because of my previous exposure; it was largely due to the outstanding structure and support offered by the instructors and mentors. Unlike my prior academic experiences, where some professors were distant and discouraged questions, the MIT faculty were remarkably approachable, encouraging interaction and deeper engagement.What truly set this program apart was the fact that the instructors were not just educators but also active practitioners in the field. Their ability to share real-world examples and insights made complex concepts tangible and immediately relevant. They didn’t just answer questions — they fostered an environment where curiosity and discussion were integral to the learning process.While my master's program delved deeply into theory, I genuinely feel that I gained more actionable knowledge and professional confidence through this four-month program than I ever anticipated. It provided exactly the kind of real-world, applied learning I needed to refresh my skills, rebuild my confidence, and reignite my passion for the field. Thanks to this program, I now feel prepared to tackle more advanced topics and will approach future career opportunities as a much stronger candidate.I highly recommend the MIT Applied Data Science Program to anyone, whether you are looking to break into the field, refresh existing skills, or bridge the gap between theory and practical application. It was a truly transformative and empowering experience. Read less

First of all, I was skeptical about online classes since I have been in college since 1998 and I had been used to take my classes in person. However, covid changed the way we see education and online education boomed in 2020. I decided to wait until 2025 to start taking classes for AI and math and all the beautiful scientific discoveries in IT. I picked this No code for AI since everyone I work with (mostly uppermanagement) is not code savy and I wanted to bring them up to speed with this No code approach. The instructors and mentors are amazingly knowledgeable. The materials are challenging and very well designed. I can say that this is the best online class I have since I took a couple with MIT xPro and there are not as good as this No code for AI class. I have a statistics minor in my Bachelors degree and everything came together with this class and making AI work. I am so blessed of this learning opportunity and the superb materials and knowledgeable experienced staff for this class. Looking forward to potential MIT PE IDDS classes in the future. Read less

It has been an amazing journey with great learning. The easy to understand UI and super helpful project managers have made this experience worth every minute. I highly recommend taking a course through great learning their support through discussion forums or their constant motivation messages on whats app will make your journey smooth and worth while.



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I am attending the MIT No Code AI and Machine Learning: Building Data Science Solutions using the Great Learning and Olympus platform. The teachers are experts in presenting the educational materials clearly, and the mentorship made the learning process a breeze. I am delighted to participate in this high-quality course. It is highly recommended. Read less

 When I started my journey in the Artificial Intelligence and Machine Learning course at MIT, I thought: Here come those boring courses with a certificate from a famous university. But as soon as I actually began studying, my journey turned out to be completely different. Even as a Brazilian, the experience has been amazing. The teaching style is very clear and detailed, making a complex subject feel simple and turning the learning process into something truly accessible. I highly recommend this experience to everyone — join MIT and keep evolving!  Read less

Enrolling in the MIT-PE Applied Data Science Program was one of the best decisions I’ve made for my career. The program provides a perfect blend of theory and hands-on experience, equipping students with the skills needed to tackle real-world data challenges. 

The instructors are industry experts who not only teach the fundamentals of data science but also guide students through practical applications using Python, and machine learning frameworks. The capstone projects and case studies gave me the confidence to work with complex datasets and develop data-driven solutions.  

I highly recommend this program to anyone looking to build or advance their career in data science.  Read less