Great Learning

I highly recommend the MIT Professional Education Applied Data Science and AI Program in collaboration with Great Learning. I recently completed this online course, and it was an exceptional learning experience.

The program is well-structured into comprehensive modules that balance theory and practice. Having weekly live lectures from MIT professors provided top-tier academic insights, while the weekend sessions with Freeman, our experienced business instructor, were perfect for deepening the material, bridging the gap to industry applications, and clarifying complex questions.One of the highlights was the high volume of hands-on work. The Capstone project at the end was excellent—it mirrored real-world problems perfectly and taught us how to apply a highly structured approach to solve them. Additionally, the student support was phenomenal. Our program manager, Ritin, was always reachable, highly helpful, and consistently responded to queries within the same day.
If you are looking for a rigorous, practical, and well-supported AI program, this is definitely worth it!

This was an exceptional course and an outstanding learning experience. The Applied AI and Data Science Program by MIT, delivered by Great Learning, was thoughtfully designed, with content that was current, relevant, and presented in a clear and accessible way.One of the program’s greatest strengths is that you get as much out of it as you put in and you have continued access to the material for 3 years to go back and dive into areas you may not have been able to cover as well as you wanted to. The curriculum provides enough depth to accommodate learners starting with the fundamentals while also offering opportunities to progress into more advanced concepts. The hands-on projects were particularly valuable in translating theory into practice and solidifying key concepts. The weekly quizzes and projects significantly enhanced the learning experience and provided consistent reinforcement of the material throughout the program.I would also like to recognize Ritin and the Program office for their exceptional support, consistently going above and beyond to support learners.  Their follow up and positive energy was greatly appreciated.I highly recommend this program to anyone looking to build practical expertise in applied AI and data science. It is a high-quality, rigorous, and rewarding program that combines strong academic content with practical application, and the excellent support provided throughout the journey makes the experience even more valuable.

I am a Physician Assistant based in Ghana, and I took the Great Learning / Johns Hopkins AI in Healthcare course while I plan on running my own project bringing AI literacy and STEM training to youth in my region. The course gave me exactly what I needed, a real structured foundation in how AI is actually being applied and evaluated in healthcare, not just surface-level buzzwords.What stood out most was the access to the instructors themselves, Dr. Daniel Byrne and Dr. Ian McCulloh are both active researchers at Johns Hopkins, and being able to engage with them directly, asking real questions about AI validation and deployment in low-resource health settings, added a depth to this course that I didn't expect from an online program. It gave me the confidence and the concrete next steps to pursue the full AI in Healthcare Master's program at Johns Hopkins, which I'm now actively working toward.For any clinician or health professional wondering whether this course is worth it, it is, and it's especially valuable if you intend to keep going in this field. It didn't just teach me the material, it opened a real door.

I recently completed my Post Graduate Program in AI/ML for Business Applications and Gen AI for Business Application with University of Austin Texas McCombs in partnership with Great Learning Platform. It was a great experience overall on several fronts. The platform provided well curated context that was easy to learn and follow with several AI assisted learning features. The presentation of content was very structured and easy to navigate and complete in the required timeframe. The quality of the content aligned very well with the theory and conceptual knowledge necessary to implement the practical end of module projects. The Great Learning administrative team was always approachable and responded quickly to inquiries and worked with each individual student on their specific needs.

Coming from prior enterprise experience leading the deployment of practical machine learning models in production, I had high expectations around learning through practical use cases and the program met those expectations. The weekend mentoring sessions led by current industry practitioners facilitated engaging discussions among the cohort members that enhanced the learning further by providing latest industry perspectives. I would recommend the program to anyone interested in upskilling themselves with the latest advancements in AI in a structured but fast track manner that enables learning by doing.

Completing the Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications offered by the McCombs School of Business at The University of Texas at Austin in collaboration with Great Learning has been an incredible milestone in my professional growth. 
 As artificial intelligence continues to transform industries, finding a program that balances foundational knowledge with practical, real-world application is essential. This program exceeded my expectations by delivering a structured and insightful learning journey from start to finish.The curriculum covers a well-rounded mix of core machine learning concepts and advanced AI techniques, providing a clear understanding of how to apply these solutions effectively. The quality of instruction stood out throughout the course, with faculty offering valuable guidance and real-world perspective. Hands-on projects and case studies made it easy to apply key concepts and build confidence in using modern tools.  
Overall, the support from the program manager Simran and the collaborative learning environment made the entire experience seamless.  

I went back to study with the MIT Applied AI Data Science Program (MIT AAIDSP)  after 10yrs of trade. I had an intense but fulfilling time throughout the program. It was the appropriate one for me to improve my knowledge of statistical analysis, getting on-hand python training and a strong experience of the fundamentals of Artificial Intelligence. The application of every course in a real-world business problem makes this course an professional experience on its own. 

For those who want to understand the basics around Artificial Intelligence, I highly recommend this course. 

• Pros: 

1. * Courses follow a logical flow.
2. * Program managers regularly monitors progress, call if needed and respond quickly to issues.
3. * Live Virtual Classes are interactive with knowledgeable MIT professors and industry experts.

• * Mentors are dedicated, patient and responsive to questions.
• * The academic team are reactive to issues.

1. * The online platform is user-friendly, provides interactive course content and practice exercises for some of the courses.
2. * Deadlines for quizzes and project can be extended if additional time is required
3. * Industry examples varies

Cons: 
- One topic and quizz per week makes the pace is quite fast and time is required for study
- There is a need to better coordinate information between mentors, academic teams and program managers.

I recently completed the MIT Applied AI and Data Science Program organized by Great Learning, and it was an excellent learning experience. The curriculum is well structured, covering Python, Data science, machine learning, deep learning, and Agentic AI through a combination of self-paced modules and live mentor sessions. The hands-on assignments and practical labs helped reinforce the concepts effectively. 
The AI Hackathon was a great opportunity to collaborate with peers and solve real-world problems in a competitive setting. The Capstone Project allowed me to apply the full machine learning and Agentic AI lifecycle to a business use case, significantly strengthening my practical skills. 
The mentors and Great Learning support team were knowledgeable, responsive, and always willing to help. Although the program requires consistent effort, it is manageable for working professionals. Overall, I highly recommend this program to anyone looking to build practical expertise in AI and data science while earning a credential from MIT Professional Education.

I had a very positive experience with the MIT Applied AI and Data Science Program. The program was well-structured, combining theoretical concepts with practical case studies that helped me understand how the material could be applied to real-world problems.

The professors were knowledgeable, supportive, and very patient when explaining complex topics. The program covered a substantial amount of content, so it was sometimes challenging to keep up. However, the learning platform made it easy to revisit lessons, recordings, and case studies whenever I needed additional review.

When I started the program, I had very limited knowledge of how to manage large datasets, extract meaningful insights, and use data to support decision-making. By the end, I had gained exposure to a wide range of analytical and machine-learning models, as well as a better understanding of which approaches are most appropriate for different business contexts and data types.

My next step will be to deepen my knowledge of the models that are most relevant to my professional goals. Nevertheless, the program provided me with a strong foundation and a clear understanding of how these models work, why they are useful, and how they can be applied.

Overall, I highly recommend the program to professionals from any industry. The tools, models, and analytical frameworks covered throughout the course can be adapted to many different sectors and business challenges.

The MIT Applied AI and Data Science Program was a challenging and rewarding experience that strengthened  my understanding of Python, machine learning, deep learning, Generative AI, and practical data science applications. The hands=on projects helped me move beyond learning concepts and gave me experience applying AI techniques to real-world business problems. 

Balancing the program with a full-time career in consulting required commitment, but the experience significantly increased my confidence in working with AI and data science. I am leaving the program with stronger technical skills, a better understanding of how to connect AI solutions with business strategy, and greater motivation to continue growing my career in this field.

This is an excellent course with high-quality learning materials, both during the live sessions and through the additional resources provided for self-study. The content covered and the weekly classes are of a very high standard and allow for significant progress throughout the learning journey.The course materials are fully up to date and include all the theoretical foundations needed for those of us who enjoy exploring topics in depth. At the same time, the concepts are explained clearly enough for learners who simply want to achieve the expected learning outcomes of the course.I would like to sincerely thank the instructors and especially my assigned tutor, who closely supported me throughout the entire program. Thank you to the whole team for creating such an enriching and enjoyable learning experience.

The Great Learning (Online) – Certificate Program in Applied Generative AI by Johns Hopkins University was an outstanding learning experience. The curriculum was thoughtfully designed. The course content was current, relevant, and presented in a way that made topics easy to understand. The weekly quiz and the projects significantly enhanced the learning experience and helped reinforce the concepts.
I would also like to recognize Surbhi, the Program Manager, for her exceptional support throughout the program. She was incredibly proactive, responsive, and always willing to help. Her excellent communication, timely updates, and dedication to ensuring participants had a seamless experience made a meaningful difference. She consistently went above and beyond to support learners, and her professionalism and positive attitude were truly appreciated.
I highly recommend this program to anyone looking to build practical expertise in applied generative AI. It is a high-quality course  and the support provided throughout the journey makes the experience even more rewarding.

I really enjoyed this program. The content is very complete and well-structured, covering everything from ML fundamentals to building real agentic AI workflows. The professors and video lectures are top quality, and the hands-on projects made the learning experience very practical and engaging. The interactive approach helped me truly understand the concepts. I'm very happy with the experience and would highly recommend this program to anyone looking to build real AI skills.

Honestly had the best experience with Great learning. Really liked the course material and the curriculum; and Mentored learning session with Mr. Sarfraz helped a lot in clearing the doubts. Also Ms. Sakshi Raghav helped me throughout the course whenever I needed her help with assignments and quizzes, she clarified my doubts regarding submission criterias and had been very kind. Overall I had the best experience in these past 4 months.
Thank you Great Learning! You guys are already best!

I am extremely happy with the Applied Generative AI course offered by Johns Hopkins University through the Great Learning platform. The program exceeded my expectations and provided a strong foundation in modern Generative AI concepts.Each week introduced new topics with practical, real-world examples that encouraged me to think about how these technologies can be implemented in enterprise environments. The curriculum is thoughtfully structured, taking learners from Python fundamentals all the way to advanced topics such as RAG (Retrieval-Augmented Generation), AI agents, agent orchestration, AI guardrails, and fine-tuning.What I appreciated most was the balance between theory and hands-on application, which helped reinforce the concepts and build practical skills. The instructors did an excellent job breaking down complex topics into understandable lessons while continuously connecting them to real business use cases.I cannot recommend this course highly enough for anyone looking to build a solid foundation in Generative AI and Agentic AI. It has been an invaluable learning experience and a worthwhile investment in my professional growth.

The Data Science and Applied AI Program from MIT and Great Learning marked a clear before and after in my journey to becoming a Data Scientist. The live sessions with MIT faculty and the mentored sessions with Great Learning experts are, without exaggeration, worth every minute - they combine academic rigor with practical, hands-on guidance that genuinely builds your skills. 
Just as valuable is the support behind the scenes. The Program Managers and staff are consistently responsive, attentive, and invested in your progress, which makes a real difference when you're balancing a demanding curriculum.
I recommend this program wholeheartedly to anyone serious about growing as a Data Scientist.

I am very happy with the No Code AI and Machine Learning: Building Data Science Solutions course from Great Learning.The course is still in progress, but I have already learned a lot. The fundamentals of AI, machine learning, and data science are covered very well, and the key principles are explained clearly. This has helped me better understand how AI and machine learning solutions can be built and applied in practical situations.The course has already helped me a lot in my work, especially in understanding data-driven decision-making and practical AI use cases. I am looking forward to continuing the course and building on what I have learned so far.Overall, I find this course very valuable and would recommend it to anyone who wants a practical introduction to AI and machine learning in a no-code way.

Taking the Data Science and Applied AI diploma with Great Learning and MIT Professional Education was absolutely worth it. The live sessions with MIT faculty set this program apart — the instructors are deeply knowledgeable and the content is rigorous, hands-on, and up to date.The curriculum covers everything from statistics and Python fundamentals to advanced machine learning and applied AI, always with a focus on real-world application. The practical projects help you build a solid portfolio that's useful in your professional career.The platform is easy to navigate and the support team is responsive throughout the program. The pace is demanding, but that's what makes the learning meaningful.Highly recommended for anyone serious about upskilling in data science and AI.Overall rating: 5/5

That course delivered in collaboration with MIT Pro Education is very well structured: a great mix of webinars, live sessions with a mentor, video courses and lectures, written documents and bunch of exercices with no-code tools It goes into the details which is important if you want to understand how AI works and it gives you access to optional material if you want to go some steps further. The platform is well designed and easy to use. 

 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! 

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.

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.

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!

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.

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.  

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.

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. 

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.

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.

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. 

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.

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.

 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. 

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.