Great Learning

Completing the MIT Applied Data Science and AI Program through Great Learning while balancing a full-time role at Johns Hopkins Medicine and an active PhD program was no small feat — and I genuinely could not have done it without the flexibility and support this platform offers.
I originally enrolled in the October cohort but had to step back when my team at work underwent a major platform migration (Tableau to Power BI), which consumed most of my bandwidth. Rather than leaving me behind, my Program Manager worked with me personally to transition into the January cohort — a level of accommodation I did not expect from an online program.
Even in the new cohort, balancing doctoral coursework, professional responsibilities, and the program remained challenging. My Program Manager continued to check in, offer guidance, and keep me on track until I crossed the finish line.
The curriculum itself is rigorous — covering everything from machine learning fundamentals to deep learning and applied AI. My capstone, a CNN-based malaria cell detection model, achieved 98.92% accuracy, which I’ve since presented in professional and academic settings.
If you’re a working professional or graduate student considering this program, know that Great Learning meets you where you are. The support infrastructure is real, not just marketing language. Read less

I attended this course from February to June 2026 (12 weeks), and I was impressed by the amount of material that was provided throughout the program. The lessons were detailed, and the topics were thoroughly explained and discussed.I found the practical component (python) particularly valuable, as it was extensively reviewed and discussed with the mentor during the lessons. The assessment-based approach helped me stay on track and maintain a steady pace throughout the course.The program also provides additional learning resources that I have not yet had the opportunity to fully explore, but I look forward to doing so in the future.Overall, I am very satisfied with this experience. It was challenging and required commitment, but it was also highly useful and rewarding. Read less

This program is an excellent choice for anyone who is working full-time and wants to continue learning and developing new skills. For me, it helped fill important gaps in my knowledge, especially in data analytics, which was an area where I lacked confidence while working as a Financial Analyst. The program provided practical knowledge and hands-on experience that strengthened my analytical skills and helped me better understand how to work with data effectively.I would like to give a special shout out to the instructors who taught us throughout the program. They were knowledgeable, supportive, and patient, always willing to spend extra time helping students who needed additional guidance. Their dedication made the learning experience much more valuable and enjoyable.The program coordinators also deserve recognition for the support they provided. They consistently kept us informed, reminded us of important deadlines, and helped us stay on track. Balancing work, personal responsibilities, and coursework can be challenging, and their guidance made a significant difference.Overall, I highly recommend this program to anyone who is ambitious and committed to professional growth. It has helped me build confidence in my data analytics abilities and equipped me with skills that I can immediately apply in my career. I now approach data-driven work with much greater confidence than before. Read less

I recently had the amazing opportunity to take part in the AI and Data Science program with MIT in conjunction with Great Learning, and cannot say enough good things about it.  The courses started from basic python, and made its way up to machine learning algorithms which are used everyday in the field. This structure makes this course welcoming to everyone even if you have no prior programming experience.
The course content is extremely informative and is packed with resources for you to use in order to help you understand the concepts of the material for the week.  Along with that, the projects are real industry problems to solve that allow you to get experience in machine learning, as well as build your portfolio for the future. The Hackathon is the perfect activity to close up the program and it was a great experience to try and test my skills against those of others.  Doing this on a time crunch also helped to simulate what one might experience when trying to deliver solutions in their everyday job.  I would highly encourage anyone who takes this course to take part in this event as it is a one of a kind opportunity.
In addition to the content, the mentors for the mentored learning sessions and optional masterclasses were very knowledgeable and cleared up doubts from any and all students with relative ease.  My mentor in particular, Dewey Bazirake, did a great job not just teaching the material, but trying to involve everyone in the lessons by including discussion questions with every session, and letting students try their hand at explaining some slides with concepts from the previous weeks content.  This allowed me to have a much more in depth learning experience than if i just sat there listening to someone solely read the material.
My program manager, Samarpita, made navigating the program as smooth as possible.  She was always there whenever I had any questions regarding course content, reminding me of due dates of assignments, or just checking up on me every so often to make sure I was doing okay.  The support provided by Great Learning is second to none and takes professionalism and dedication to a whole nother level.
Even after graduating from the program such a short time ago, I can say that the post program support I have experienced so far has been great.  I had one session with Mohammad Raahemi and he gave me some extremely valuable tips and tricks to help perfect my resume and aid me in finding a job in the industry.  I am looking forward to continuing to use the excelerate programs resources to help with in my future endeavors.
Overall, this program was an invaluable experience and I would recommend it to anyone that has any interest in Data Science regardless of your skill level.  If you take the leap, believe me, you will not be disappointed. Read less

I’m fully employed with several side hustles, and the only way I made it through the course was with support from the program manager Samuel, and flexible course logistics (recorded lectures, asynchronous activities). The curriculum is strong and more than helpful for anyone trying to break into the data science field. The lecturers had some of the most impressive backgrounds and they were extremely knowledgeable and insightful. 

With this course, you get what you put it. So if you work hard and you’re consistent, you’ll learn a thing or two. Read less

I am about to complete the No code AI and Machine learning: building data science solution course and I must say the course was quite well structured. I can now understand how AI model works and what are the right parameters to check and the right questions to ask the AI team. What I liked most about the course is the understanding on how domain knowledge has an impact on an AI design. I am looking forward to implement some of these key takeaways in my day to day work life.  Read less

Honestly, I wasn't sure what to expect when I signed up, but this course has been a great experience. The good part? It's built around no-code AI/ML tools, which makes diving into machine learning so much more accessible.  The course is focused on understanding concepts and solving problems, not getting stuck writing code.
The Sunday mentored sessions kept the learning consistent and structured. Having that dedicated weekly touchpoint to discuss, ask questions, and learn with peers really helps you stay engaged throughout the program.
A big shoutout to Mehak Gupta for being such a proactive support. Whenever we got stuck, she was right there to guide us. 
But the real highlights for me were the hands-on sessions and case studies on KNIME and RapidMiner. Working through real scenarios on these platforms made the technical concepts click in a way that theory alone never could. I went from being completely new to these tools to actually feeling confident exploring them independently.
The mix of structured learning, practical walkthroughs, and solid support is what sets this program apart. Highly recommend it for anyone looking to start AI/ML skills development! Read less

Participating in the Applied AI and Data Science Program has been an exceptionally rewarding and insightful experience. The program offered a well-structured and comprehensive introduction to key concepts in artificial intelligence, machine learning, and data analytics, while maintaining a strong focus on practical business applications. I particularly appreciated the quality of the content, the clarity of the instruction, and the relevance of the real-world case studies presented throughout the course. This program has significantly enhanced my understanding of data-driven technologies and strengthened my ability to approach challenges with a more analytical and strategic mindset. Overall, it has been a valuable contribution to my professional development and a meaningful step toward expanding my expertise in the evolving field of AI and data science.  Read less

The No code AI and Machine Learning: Building Data Science Solutions course has been an incredible learning experience. The program gave me a much stronger understanding of how AI and machine learning models are built, how data is prepared, formatted, and how data science solutions can be applied to real-world problems. The instruction was excellent, and the course materials and hands-on labs were engaging, practical, and highly valuable. I highly recommend this program to anyone interested in developing their knowledge of artificial intelligence, machine learning, and data science.


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This AI/ML course has been so helpful in a number of ways. From the fundamentals, to the advanced concepts taught by MIT professors, to the very sharp lectures from the course mentors, who are great specialists and practitioners. Excellent and comprehensive materials and resources, and functional examples that allow you to build skills in a more efficient way. The administrative staff and program managers are very responsive and helpful too, overall a great experience! Read less

I joined this program with the goal of learning the basics of AI and exploring opportunities for a startup.
I was able to learn through comprehensive courses taught by MIT professors and researchers.
The quality of learning is excellent, and the sessions provides a solid foundation in artificial intelligence and machine learning.

My favorite course is “Business Applications of Generative AI,” but we covered all the key areas, including data exploration and analysis,
classification, regression, neural networks, and computer vision. Finally, the “Ethical and Responsible AI” course is a real plus for understanding the real-world impacts and pitfalls to avoid.

The Great Learning team was very efficient and helpful: 

- The Olympus platform is very user-friendly and runs smoothly. Everything went well, and the resources are readily available
- The videos are high-quality, and the playback options are comprehensive
- The mentors were very instructive and patient
- The sessions are live, and multiple time slots are offered, which was a huge help. The videos are also recorded.
- The hands-on sessions allow you to practice and work with tools like KNIME, RapidMiner, n8n, and more.
- The assessed projects allow learners to apply their knowledge to end-to-end business cases.

This program exceeded my expectations, and I would definitely recommend it to my colleagues.

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The MIT Applied AI & Data Science Program was a genuinely valuable experience. The curriculum ramped up thoughtfully; early weeks felt like review, but once we hit ML, deep learning, and generative AI, the content became deeply relevant to my day-to-day work with LLMs. Mentor sessions reinforced the recorded material and the case studies tied concepts to real business problems.
What set this program apart was unequivocally the program management. Samuel Morris, was remarkably patient and flexible — accommodating extensions when life got in the way, surfacing alternative session times when I traveled, and consistently checking in on my progress. That level of support turned an online program into something that actually felt like a cohort. I'd recommend it to anyone balancing a full-time role with serious upskilling in AI/DS. Enlisting in this course was the right call, and I'm deeply grateful to Great Learning and MIT for constructing such a seamless, information-dense whirlwind of a program. Read less

Was quite intense but worth every time and funds invested.  Quite deeper than I anticipated and rich..
Firm exposure to the foundations of data and it's surroundings principles, unto the industry applications and implementation of Ai interventions.... simply a great time learning with Great Learning! Read less

It is an extremely well-structured course curriculum. The scheduling of the classes are conducted timely and the lectures are well-paced. 
Industry experts conducting the mentored sessions on the weekends are well-versed with the curriculum.
To top it all, the program managers are very approachable and prompt with their response making it easier for the learner to navigate the  course.
Highly recommended for people wanting to upskill with a structured guidance.  Read less

I’ve had a fantastic experience with the program. It truly excels at bridging the gap between complex data science theory and real-world professional application. Balancing these rigorous studies with a demanding work schedule could have been overwhelming, but the exceptional support from both the mentors and the management team was a complete game-changer. Their proactive guidance, constant availability, and genuine commitment to my progress ensured that I never fell behind and always stayed on track. I am deeply grateful for this invaluable support system and happy to share my positive feedback. Read less

Took the Applied AI and Data Science program through MIT and Great Learning.  Overall it was an excellent experience.  It was a considerable amount of work with the lectures and cohort meetings with great learning mentors. Challenging work but as someone involved with data science regularly it was hugely beneficial.  Read less

MIT Professional Education's Applied AI and Data Science Program combines theoretical foundations with real-world business applications. It is excellently structured and taught by domain experts who understand practical execution. I would recommend this program to financial professionals looking to deepen their AI knowledge and improve their analytical techniques. Special thanks to the Great Learning team for the flawless delivery and support throughout the program. Read less

Value creating content, experienced lecturers, practical skills delivered through a healthy mix of lectures and practical exercises / business cases.
An intense, well designed and hands on course delivered with a support of technology solution convienient to accomodate the skills and track progress.
Flexibility to manage your daily/weekly effort assured by making recordings from  all classes available on-line for future referrence. Read less

Excellent program. It has taught me in-depth coding, AI, machine learning, and data analysis skills, along with practical tools and real-world applications that I can confidently apply in professional settings. The curriculum is well-structured, combining theory with hands-on projects that reinforce learning and build a strong portfolio.What stood out most was the clarity of instruction and the progressive difficulty, which made complex concepts accessible without oversimplifying them. The support from instructors and the learning community was also incredibly valuable, providing guidance, feedback, and encouragement throughout the journey.I now feel much more confident in my ability to tackle data-driven problems, develop intelligent systems, and continue growing in the field. I would highly recommend this program to anyone serious about advancing their skills in AI, coding, and data analysis. Read less

I recently completed the “MIT Professional Education No Code AI and Machine Learning” program delivered by Great Learning, and overall it was a well-structured and worthwhile learning experience.

One of the strengths of the program was its structure. The pre-work helped build a useful foundation, and the mix of self-paced content with mentored learning sessions made the material easier to follow, especially for topics that can otherwise feel quite technical.

The rigorous structure—including quizzes, projects, and mandatory attendance for mentored sessions—ensured that we stayed on our toes and remained actively engaged throughout the program. A special thanks to our Group Mentor, Mr. Olabode James, for his expertise in helping us grasp difficult concepts, and to our Program Manager, Ms. Saumya, for her constant support throughout this entire learning journey.

The curriculum covers a vast landscape, from Generative AI Foundations to Neural Networks and Recommendation Systems. A tremendous amount of content was packed into these 5 months. Since I retain access to the course materials and recordings, I will certainly be revisiting them to brush up on my knowledge—or as we say in ML terms: Reinforcement Learning.

This program was rich, engaging, and truly challenged the way I look at data, fundamentally changing how I perceive AI. For anyone serious about learning and ready to put in the necessary commitment and effort, please go for it. It will change your perspective entirely.

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