Great Learning

I recently completed this course. Having led engineering teams and developed production-grade AI/ML solutions over the past 11 years, I had experience in this field. However, I had never undergone a structured learning path in AI/ML, and this course provided precisely that. The course offered a comprehensive and structured learning path that ensured I was not missing any fundamental concepts. Despite my more than a decade of experience, in this field the well-organized curriculum allowed me to solidify my understanding and fill in any gaps in my knowledge. The balance between theoretical concepts and practical applications was just right, enabling me to enhance my skills effectively. One of the standout aspects of the course was the exceptional program managers. They acted like caddies, always available to guide and ensure that every participant could make the most out of the course. Their support was invaluable, providing personalized assistance and ensuring a smooth learning experience. Overall, I highly recommend this course to anyone looking to deepen their understanding of AI/ML in a structured manner.  Read less

I recently completed the Full Stack Software Development: Building Scalable Cloud Applications course and wanted to share my experience with others considering this program.

Instructors:The instructors of this course are exceptional. They bring a wealth of real-world experience to the table, making complex concepts more digestible. Their teaching styles are clear and engaging, often supplemented with practical examples that solidify the theoretical knowledge. They are responsive to student questions and provide valuable feedback that aids in the learning process. The passion and dedication of the instructors truly shine through in their commitment to student success.
Curriculum: The curriculum is well-structured and comprehensive, covering everything from the fundamentals to advanced topics. It is divided into several key modules:

1. CS Fundamentals & Front End Development Part 1-4: These modules lay a solid foundation in computer science principles and front-end technologies. Topics like HTML, CSS, JavaScript, and React are covered in-depth, ensuring students build a strong base before moving to more complex subjects.
2. Databases and Node.js: This module introduces databases and back-end development with Node.js. It effectively bridges the gap between front-end and back-end development, giving students a holistic view of full-stack development.
3. Backend Development: This part delves deeper into server-side programming, RESTful APIs, and advanced Node.js concepts. It prepares students to handle the backend of applications confidently.
4. Cloud Deployment & DevOps: The final module is a game-changer. It covers cloud services, deployment strategies, and DevOps practices. This segment is crucial for understanding how to build and maintain scalable applications in a cloud environment.

Learning Experience: The learning experience is immersive and well-rounded. The course offers a good mix of video lectures, hands-on labs, and projects that enforce learning by doing. The projects are particularly valuable, as they simulate real-world scenarios and challenges, preparing students for actual development work. The pacing of the course is balanced, allowing students to absorb information without feeling overwhelmed. Additionally, the community and support system provided by the course is excellent, fostering collaboration and peer learning.
Overall Impression: This course is a robust pathway for anyone aspiring to become a full-stack developer. The combination of knowledgeable instructors, a well-rounded curriculum, and a practical learning approach makes it an excellent investment in one's career. Whether you are a beginner or someone looking to deepen your knowledge, this course provides the tools and guidance needed to succeed in the field of software development.

I highly recommend the Full Stack Software Development: Building Scalable Cloud Applications course to anyone serious about mastering full-stack development and cloud computing. Read less

Taking the MIT IDSS Data Science and Machine Learning course was a fantastic experience. The well-structured curriculum provided a deep dive into both fundamental and advanced topics. The real highlight was the hands-on projects, which were instrumental in improving my practical skills. These projects allowed me to apply theoretical knowledge to real-world problems, significantly boosting my understanding and capability. The instructors were highly knowledgeable, and the video lectures enriched the learning experience. Overall, this course has greatly enhanced my proficiency in data science and machine learning, making it a highly worthwhile investment. Read less

I began this program with no previous experience in Python coding and Data science. The program significantly expanded my knowledge and made me comfortable with examining Python code and functions, connecting them to real-world applications. Learning the code is one aspect, but the ability to apply it and solve problems in real-world scenarios is crucial, and this program has fostered that mindset. The MIT faculty excel at clarifying complex details in an easily comprehensible manner. Read less

I strongly recommend Great Learning's AI ML No Code Program which I was involved with over Q2 2024. The program was designed very efficiently with sufficient coverage of important topics like regression, data handling, business applications, ML techniques, 3rd party tools, etc. with little to no code requirement which made me more comfortable with understanding and analyzing of business data. The course took over 3+ months and the fees was very affordable for working professionals. The program management was very well managed by Mehak. I truly appreciate this program and highly recommend it to others looking to upskilling in AI.  Read less

I joined this course: No Code AI and Machine Learning: Building Data Science Solutions, and I was not expecting much, but now! Words are not enough to describe Great Learning, from mentors to support to fun quizzes and assignments, this course has given me exactly what I'll be needing for the next 5 years, lectureres are always friendly and willing to provide help and assistance, the various ways and tools to be used is what intrigued me the most, very flexible, and I'll make sure to join them again in a different course. I'm so happy with this experience. Thank you Read less

I was eager to learn coding with python. Cannot forget my wife asking me why "python" and "anaconda" terms, I also wanted to find out. But that was the start of my incredible journey. 
It was a fulfilling yet challenging experience that pushed my limits, deep into the nights, some interesting dreams, above all insightful. Everything, was making sense after every class. Starting from great roadmap, MIT faculty classes, the mentored classes to fantastic program managers.  I did not have a background in data science, computer science or statistics, or engineering but it all made so much sense. I'm hungrier for more. I can recommend this course a million times. Fantastic team.  Read less

I recently completed the MIT Professional Education - No Code AI and Machine Learning course. The course is well structured and provides rigorous in-depth training and hands on experience with Generative AI, Machine Learning, Large Language Models, Decison Systems,  Recommendation Systems and Predictive Methods. The instructors are top notch. My cohort lead, Akhash Goyal clearly communicated complex concepts and made them easy to understand. He is the best instructor! My program manager, Juhi Gupta was responsive and supportive to ensure a great learning experience. She coordinated technical support on the program modeling tools. My classmates were top IT industry executives who shared great insights into their use of AI. I highly recommend this course. Read less

 The MIT Professional Education Applied Data Science Program: Leveraging AI for Effective Decision-Making was an engaging and highly effective program delivered by Great Learning. 


I would highly recommend this program for anyone interested in upskilling for their career ambitions, or those wanting to explore the world of Data Science and Artificial Intelligence for their chosen industry. 


Among the course modules the Foundations for Data Science, Data Visualization, Machine Learning, Deep Learning, and Recommendation systems were some of my favorites. Elective courses in Generative AI and ChatGPT’s development stack were fascinating. 


The course was demanding with its rubric and clear standards of academic progress throughout all modules. High praise goes to Great Learning’s mentor team, ancillary content materials, and support resources. The learning portal is intuitive and organized. The communication from the Great Learning Program Manager, and from the learner portal, kept me motivated and on track to complete the course successfully. 


The shining stars of this program were the M.I.T. professors, the Great Learning mentor teams, and the learner community participating in this innovative instruction. The hands-on labs and real world scenarios the mentors used to illuminate the instruction made the learning compelling, digestible, and assured the absorption of the material.  


This program includes content and instructional approaches that cater to project managers, program managers, coders, and business unit line leaders. The content was outstanding (live instruction, live mentoring, and online course content). The concepts learned will continue to make a difference in our approach at work to improve our speed and efficacy at making critical decisions affecting product development, strengthening customer relationships, elevating our customer experience, and will be invaluable as we navigate future strategy for our organization. 


Warren Samek | Capital Markets Committee Advisor, OpenCRE AI. 


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I recently completed the "No Code AI and Machine Learning" course, and I must say it was an incredibly enriching experience. The course's structured approach, combined with the pre-recorded lectures from renowned MIT faculty, made it easy to grasp complex AI and ML concepts without extensive coding knowledge. The hands-on projects and mentored learning sessions were particularly valuable in applying these concepts to real-world scenarios. The course covered various topics, from AI landscapes to computer vision models, and even introduced us to generative AI and prompt engineering. The additional reference materials, practice case studies, and FAQs were also very helpful in reinforcing our understanding. I appreciated the flexibility of the course, which allowed me to access the content for six months and revisit recorded sessions as needed. The structured content and clear explanations made it an excellent choice for anyone seeking a user-friendly path to harnessing the power of AI and ML. I highly recommend this course to anyone interested in applied data science or looking to integrate data-driven decision-making into their skill set. The course is challenging, but the skills and insights gained are invaluable, especially given the growing importance of AI in the business world. Read less

I love the professors, particularly John Tsitsiklis and Abhinanda Sarkar. I like the curriculum that explains topics step by step, so at the end you have a full picture in your mind. The crew members also do great job. I want to mention my previous project manager - Shikha - and my current, Shubham - they also do a great job. 

I would recommend this course to peers, definitely.  Read less

I would like to express my gratitude for the excellent Machine Learning course I recently completed with Great Learning. The course content was exceptionally well-structured and provided me with a deep understanding of the subject matter. I was particularly impressed by the practical approach, which allowed me to apply what I learned directly and gain hands-on experience.The instructors were highly competent and always helpful, making the learning process both enjoyable and efficient. The resources and materials provided were of high quality and extremely useful.Thanks to this course, I now feel well-equipped to successfully apply Machine Learning in my professional practice. I highly recommend Great Learning to anyone seeking a comprehensive and practical education in this field. Read less

he No Code AI and Machine Learning was very helpful to understand how No Code tools can be used to analyze data in order to resolve business problems .

The course introduces you to the various AI and ML concepts . It is a good place to begin your ML / AI journey .

The mentor sessions are good and most of the mentors have hands on experience in the field of using the No Code AI / ML tools such as Rapidminder, Dataiku etc .

The support team , especially the program manager assigned to your group is responsive and helpful to the queries and helpful in resolving issues . Read less

Honestly, a game-changer in several key points, to me a perfect blend of top-quality content, an awesome and gentle learning curve, and just the right care from the program manager. It has been an important door I have opened in my career along with GL.

I have found quite rich the extra material provided as well as the evaluations, though they are agile and short, previously there is a lot of friendly mini quizzes to teat your knowledge as you make progress

Thank you all the team. Read less

As am about to complete the MIT Data Science Program, offered through the Great Learning online platform, and I must say, it exceeded all my expectations. This program is a remarkable blend of theoretical knowledge and practical application, tailored perfectly for anyone aspiring to make a mark in data science.

The curriculum, designed by MIT's esteemed faculty, is comprehensive and up-to-date with industry trends. It covers a wide array of topics, including machine learning, deep learning techniques, and artificial intelligence, ensuring a well-rounded understanding of data science. The hands-on projects and real-world case studies were particularly beneficial, allowing me to apply theoretical concepts to practical scenarios.

The online learning experience provided by Great Learning is seamless and interactive. The platform is user-friendly, and the support from mentors and peers is phenomenal. The flexibility to learn at my own pace while balancing work commitments was a significant advantage.

Furthermore, the program’s focus on career support and networking opportunities is commendable. The career services team provides valuable guidance on resume building, interview preparation, and job placement, which is crucial for transitioning into the data science field.

Overall, the MIT Data Science Program through Great Learning is an excellent investment for anyone serious about advancing their career in data science. The combination of MIT's academic rigor and Great Learning's robust platform creates an unparalleled learning experience.

I highly recommend it! Read less

The Great Learning MIT ADSP program exceeded my expectations in every way. The live lectures and mentors struck a perfect balance between theory and practical use cases, ensuring a comprehensive understanding of the subject. The pacing was just right, allowing for thorough articulation of concepts without feeling rushed. The learning portal was intuitive and resource-rich, making it easy to keep up with the coursework.

What truly set this program apart were the enthusiastic MIT professors, mentors who shared their practical experience and the program manager, Dr. Ruchi. Their dedication and expertise created a fantastic environment for learning, always ready to provide support and guidance. Their approach made complex topics accessible and engaging, fostering an atmosphere of growth and curiosity.

Overall, the Great Learning MIT ADSP program is a remarkable blend of rigorous academic content and practical application, supported by an outstanding team of mentors. I highly recommend it to anyone looking to deepen their understanding of data science and analytics. Read less

Great Learning provides an excellent platform for the MIT professional course on Ai and no-code.  For teaching, mentoring and overall support.   



The No-Code AI and Machine Learning: Building Data Science Solutions program is developed for any professional who wants to understand how to make AI- backed business decisions. This program is designed to help participants deepen their understanding of the AI landscape, from understanding the data around us to making effective decisions. 

This program from MIT Professional Education is delivered in collaboration with Great Learning. It leverages MIT's leadership in innovation, science, engineering, and technical disciplines developed over years of research, teaching, and practice. The program aims to build industry-valued skills and to prepare you to participate in or lead data science efforts at any organization.




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Phenomenal course - I highly recommend this to anyone hoping to learn foundational techniques to understand and build machine learning models. The projects were super informative and applicable to real world situations. Despite having limited python knowledge before, I am now able to complete complex data science tasks in python. Only thing I would recommend is to add a module specifically on data cleaning - it was touched on but felt that we could have dug deeper into that. But generally, full marks !  Read less

I have completed DSML from MIT IDSS. 


I was a beginner at Data Science and Machine Learning in January 2024.


At the time, there was a lot of mystery surrounding this whole field. I never thought that it would be a career option for me.


The program has demystified these topics to an unbelievable extent.


I now have the confidence that I can apply the learning to solving problems that I never thought I would.


There have been many favorable forces - the wonderfully curated study material by MIT Faculty, the guided case studies that followed each study material.


Weekly Mentor Learning Sessions that further illustrated the concepts taught in the prior week.


My Program coordinator provided invaluable support and timely reminders about Homework assignments that kept me adhered to the course and road ahead.


I must shout out a big "Thank you, Jasper".


I recommend this program to anyone who wishes to learn about Data Science and Machine Learning.


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My experience with Great Learning - MIT has been  without a doubt the best of the best. Everyone I have met in the student body and ALL of the professors and program director has been more than helpful to me along my path. The kindness and support we get is above and beyond any university I have attended. My employer loves how fast I have advanced and I was also promoted with the knowledge I have acquired so far. I am going back for more once I finish this and will keep going as technology is ever changing. Now that I have found this excellent source for knowledge I will never stray!!!!! Anyone that needs to learn code or improve their analytics skills, I highly encourage you. Ritin is awesome program director. I am in the advisory board for a state university and this program really challenges any others. Cannot be conquered!!! They rule in Tech!!!!!!!  Read less