Great Learning

Practical course focused on AI tools, with a strong emphasis on mathematics and statistics. It teaches the foundations and core principles of artificial intelligence, as well as modern LLM technologies and tools. Overall, the content is very well structured and comprehensive. The learning platform is first-class and provides an excellent educational experience. Read less

 One of the strongest aspects of the program was the hands-on projects, which allowed me to apply what I learned and develop a portfolio of work. The learning pace could be challenging at times, but the available resources and support helped me stay on track.  Read less

 Overall, I had a memorable experience with the MIT IDSS AI & Data Science Program course. Keeping the pace with the weekly assignments was crucial. However, I am grateful for the thorough and detailed lectures (videos and meetings) and material I studied throughout the course so that I could gain the strong understanding I now have regarding how to use artificial intelligence and use it to supercharge operations with data science in the real world. I am also thankful for the encouragement that I have received from faculty like my mentors and my program manager. The hands-on Python notebook projects were my favorite part of the course. They challenged me to sharpen my Python, AI, problem-solving, and analytical skills in a way that makes me competitive in the data science and programming fields. My registration and participation for this course was worth it, and I am glad I obtained my certification!  Read less

The program provides an excellent foundation for developing a profound understanding of Artificial Intelligence and Machine Learning. The content is well-structured, comprehensive, and accessible, making complex concepts easier to understand even for students who are relatively new to the field.One of the strongest aspects of the program is the tutoring lessons offered at the end of each module. These sessions create a valuable opportunity to ask questions, clarify doubts, and deepen the understanding of each topic covered throughout the course. The interaction with tutors makes the learning experience much more engaging and personalized, helping students feel supported during the entire process.


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I am nearing the completion of this outstanding training program, and it has been an incredibly rewarding journey.The learning curve was steep, but the knowledge and hands-on experience I gained have taken my understanding of Data Science and Machine Learning to a whole new level. Beyond learning the concepts, we learned how to apply them using powerful tools such as RapidMiner and KNIME.Today, I have a much deeper understanding of Regression Analysis, Decision Trees, Random Forests, Neural Networks, and Deep Learning.A sincere thank you to MIT Professional Education and Great Learning for this engaging and transformative experience. Read less

I just completed the MIT Applied AI & Data Science program through Great Learning, and it genuinely exceeded my expectations. When I first started, I wasn't sure it was the right fit for me, my background is in software engineering, and the material felt overwhelming at first. I'll be honest: the program required much more time and effort than I initially expected. It was a long journey, and I'm genuinely glad I stayed committed through it. What really made the difference were the back-to-back practice sessions and the live sessions with MIT professors. They gave me the energy and motivation to keep going, and by the end I felt truly equipped to apply what I learned in my work. The curriculum is rigorous without being inaccessible, and the real-world applications made it immediately useful. For anyone with a technical background looking to move into Machine Learning and Applied AI - this is the program I'd point you toward without hesitation. Highly recommend for professionals who want to speak AI fluently and back it up with substance. Wishing everyone embarking on this path all the very best in their journey ahead! Read less

I had the pleasure to join the Advanced AI and Data Science Class from MIT / Great Learning. I knew before that this is a challenging experience given the depth of the concepts covered but to be honest I underestimated it. You really have to learn at a fast pace and get your coding skills in shape. The good news is there are lots of AI tools that can help you get better, debug your code, help you with a refactored version of it, etc.
I especially enjoyed the Live Mentoring Sessions - like back in the university days - when a Tutor helps you get practical experience with the concepts taught.
The Great Learning Staff was very helpful during the entire course - without it would have looked differently :)
Would I do it again: Of course. Read less

I truly enjoyed my experience with this program! The highlights are the live sessions with MIT professors and mentored sessions with professionals! One can start with basic to little Python skills and end with professional-grade tools and frameworks to continue learning. I’m excited to come back to the office with refreshed skills to build templates and support my team research work. I’m also grateful to our program manager, Sneha, without her support I wouldn’t be able to complete all milestones and get this certification while on maternity leave! Thank you for your grace and empathy.   Read less

Completing the Applied AI and Data Science Program by MIT Professional Education has been an incredibly valuable learning experience for me. The program helped me build a stronger understanding of key topics such as statistics, machine learning, artificial intelligence, data analysis, and the practical application of data-driven decision-making.What I appreciated the most was the way complex concepts were explained with structure, clarity, and real-world relevance. The course not only expanded my technical knowledge, but also helped me understand how AI and data science can be applied to business challenges, strategic decision-making, customer behavior, growth, marketing, and operational improvement.As a professional, this program has strengthened my ability to connect business experience with analytical thinking. It gave me new tools, frameworks, and confidence to approach problems with a more data-driven mindset, highly valuable for my professional development and future career opportunities.Overall, I truly enjoyed the program and would highly recommend it to professionals who want to better understand the impact of AI and data science in today’s business environment. Read less

I was looking for a bootcamp that would give me both the philosophical and practical sides of data science and machine learning and this program fit the bill (and then some!). This program wasn't a bunch of management fluff; it was rigorous, hands-on, comprehensive, and relevant. The mentor sessions were especially helpful, as they tied everything together at the end of the week, answered questions in real time, and connected the lectures to real-life situations.  Read less

Learning through the MIT Applied AI Data Science Program (MIT AAIDSP) with Great Learning has been an exceptionally rewarding journey. The program is thoughtfully designed to make complex and rapidly evolving concepts in applied data science both accessible and practical.
The modular learning format of mini courses, with well-structured lectures and notes from MIT faculties of relevant disciplines, made it easy to build strong foundational knowledge step by step. The live weekend mentoring sessions were especially valuable - shout out to Lamana Mulaffer - providing an interactive space to review concepts, ask questions, and deepen understanding through real-world application and discussion.

What truly made this experience seamless and enriching was the outstanding support throughout the journey. A very special thank you to Samuel Morris, my Program Manager, whose guidance, encouragement, and consistent support made a meaningful difference every step of the way. Samuel’s professionalism and dedication ensured that the entire learning experience was smooth, motivating, and deeply rewarding.

As I am about to complete this program with one last assignment and look back, I highly recommend it to anyone looking to leverage cutting-edge AI and applied data science skills through a world-class, thoughtfully supported learning experience.
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This training gave a real boost to my career in the data field. I strongly recommend this course to anyone who wants to understand data science and AI while gaining valuable hands-on experience. The materials are modern, practical, and easy to follow, making this course an outstanding starting point for anyone who wants to grow in this field. Read less

Having completed this program as part of the 2026 cohort, I can say it was a genuinely rewarding experience. The live classes with MIT faculty stand out in particular; sessions are interactive and the instructors are deeply knowledgeable and engaged. There are some recorded materials sprinkled throughout, but face-to-face instruction with faculty is clearly at the core of the program.

The course covers a lot of ground and moves at a fast pace, though it never felt unmanageable. The MIT faculty are approachable and responsive when questions come up, and Great Learning's mentors are consistently present to help you stay on track. Having both sides available throughout made a real difference.

One aspect worth knowing upfront: while MIT faculty handle the bulk of the teaching, quizzes and capstone projects are evaluated by the Great Learning team. It's a collaborative structure that works well once you settle into the rhythm of the program.

Overall, it's a well-organized program with a strong academic backbone. If you're looking to build a solid foundation in AI and data science, this is a worthwhile investment. Read less

I enrolled in JHU- Applied Generative AI  program by Great Learning. It is really worth it. It is bit more challenging if you are not from technical background. But if you put in more effort starting with Python and keep up with mentored lessons, it helps. Using real tools like Lang Chain and Lang Graphs, is a great experience for me. From Prompt Engineering and Agentic AI, it overall covered great content. Got lost little bit while working with mid-term project,  but it gave my confidence that I am actually learning. Overall, I enjoyed the learning journey, especially with my case manager Zeba Ansari who kept checking on and followed up on every step.  Read less

I recently completed the No-Code AI and Machine Learning course from Great Learning, and overall, I had a very positive experience. The program offers a well-structured introduction to AI and ML concepts without requiring a technical coding background, making it highly accessible and practical.What stood out to me most was the supportive learning environment. The staff was consistently friendly, approachable, and accommodating, ensuring that any questions or concerns were addressed promptly. This made the entire journey smooth and encouraging.The faculty also deserves special mention. They demonstrated strong subject knowledge and explained concepts clearly, making even complex topics easier to understand. Their teaching approach balanced theory with real-world applications, which added significant value to the learning experience.Overall, I am satisfied with what the course delivered. It provided a solid foundation in no-code AI/ML tools and concepts, and I would recommend it to anyone looking to explore this field in a structured and supportive environment. Read less

I recently completed the Applied Generative AI Program by Johns Hopkins University in collaboration with Great Learning, and it was a highly rewarding experience. The program does an excellent job of combining core concepts like large language models, transformers, and prompt engineering with practical, hands-on applications.What I found especially valuable were the interactive learning and Q&A sessions with the Johns Hopkins faculty. These sessions went beyond theory, offering insights into current real-world scenarios and firsthand experiences of how AI is being applied to solve complex problems across domains. This made the learning far more tangible and relevant.Overall, the program has significantly strengthened my ability to apply generative AI in real-world scenarios and has been a meaningful step forward in my professional growth. Read less

 This course delivered exactly what I was looking for: deep technical knowledge combined with practical application. The curriculum provided a solid foundation that allowed me to structure complex end-to-end projects, such as Credit Risk Modeling pipelines and structured data analysis using Python. This ability to translate theoretical Machine Learning concepts, like Random Forest models, into practical solutions for business problems was the key technical differentiator in my interviews. Thanks to the practical portfolio I built during the program, I successfully secured my internship working with financial modeling and analytics.  Read less

The Certification in Applied Generative IA has been a great experience and the knowledge that I got is incredible. Firstly, some tools like tokenization, automatization and stuff give me the base for start my own development environments. Then, I can figure out in which feels of my current job is suitable.
On the other hand, teachers are terrific, because they have experience in IA and their application in our daily life.
I recommend this course, specially if you want to know about IA and their bases for apply in your life. Read less

As the CTO of Rabbit, a Mexican startup digitizing the supply chain for 'mom-and-pop' shops, I know that information is our most critical asset. To remain truly 'Tender-Centric,' we must transform data into conscious, real-time decisions.The MIT Applied AI and Data Science program through Great Learning was a game-changer, perfectly balancing high-level strategy with deep technical execution. Throughout the course, I gained rigorous experience in Data Analysis & Visualization, Machine Learning, Practical Data Science, Deep Learning, Recommendation Systems, and GenAI. Despite my executive role, the curriculum empowered me to be truly 'hands-on.'A standout highlight was my GenAI Capstone project. Based on the architecture designed in that project, I am already implementing a specialized version at Rabbit with tangible results. From day one, I’ve developed a Real-Time Feedback pipeline to interpret our logistics providers' evaluations. Using an Optimized Zero-Shot approach, we are now turning unstructured delivery comments into immediate actionable insights. While we are still moving toward full production, the impact is already measurable.This program didn't just teach me about AI; it gave me the tools to build the engine, not just drive the car. It is a must for any leader looking to drive a 99% more cost-effective operation with the confidence of a practitioner."— Carlos CovianCTO, Rabbit (Mexico)
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