Great Learning

As a mechanical engineer with extensive industry experience, I recently completed an online course in data science and machine learning, fields entirely new to me. This course provided an excellent opportunity to upskill and broaden my professional horizons.

Overall, this course was a transformative experience. It equipped me with valuable skills in programming and algorithms, significantly enhancing my problem-solving abilities and enabling me to make data-driven decisions. I now feel confident in contributing to projects involving data science and machine learning. For anyone looking to expand their skill set and delve into this exciting field, I highly recommend this course. Read less

I enjoyed the whole program and course material. I highly recommend it to anyone planning on getting a good grasp of AI & Data Science in today’s job market. The. Purse starts from the basics and works its way to the core principles of AI and ML. Deep learning and recommendation systems are introduced and practical examples and courseworks are provided.  Read less

So I have done my Masters and post that I am also working with Industry for past 10 years. 
The industry demands having theoretical knowledge but more than that application of that knowledge is needed , intuition and hands on is needed.
Great learning course helps us in gaining these traits.
How come? One is the course content designed in a manner which is industry relevant , the theory knowledge and handson lectures are also divided accordingly.
So with time due to concept and handson going hand in hand our ability to analyse the problem, analayse the data, transform the data and apply analytical model enhances.

Also chronology of the course contents plays good role, live lectures are a catalyst to your learning process and assignments make you independent and enhance your problem solving skills which makes you industry relevant Read less

Great Learning has exceptional learning programs. I have completed two of their programs: Cloud Computing, and Data Science and Machine Learning. The program managers are wonderful, accessible and helpful. The course platform is well-structured and easy to use. There is an abundance of learning material to include mandatory and optional content and lectures. This was a great mix for a working professional like myself. The instructors are professionals and are able to share in-depth knowledge regarding the learning material. Prior to the program commencing, Great Learning requests your learning goals so that the program is tailored to your personal learning outcomes. During the Cloud Computing Program there were multiple groups each with tailored learning material and hence project requirements to match. Moreover, the material is relevant and available after completion of the program. 
Great Learning provides post program completion support for assisting graduates with career opportunities through career preparation, career mentoring, and resume feedback. My goal was not new career opportunities. Rather, I wanted a program that could teach me hands-on, relevant material that I could immediately apply to my current non-managerial position. Great Learning excelled in meeting my goals.
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I recently completed the MIT Data Science and Machine Learning: Making Data-Driven Decisions class, and it exceeded all my expectations! The course covered a wide range of topics, including Predictive Analytics, Data Science fundamentals, Networking and Graphical Models, Recommendation Systems, Deep Learning, Classification and Hypothesis Testing, Regression and Prediction, Making Sense of Unstructured Data, and Python and Statistics.

One of the highlights of this class was the blend of online lectures and live sessions. The lectures were well-structured and easy to follow, providing a solid theoretical foundation. The live sessions were particularly engaging, allowing for real-time interaction and clarification of doubts.The use cases and examples provided throughout the course were incredibly interesting and practical. Each example came with complete code that you could run and modify, which made the learning experience very hands-on and interactive. This approach helped in understanding how to apply theoretical concepts to real-world scenarios effectively.

The projects and quizzes were also a major plus. They reinforced the material covered in the lectures and provided a great way to test our understanding and skills. The projects, in particular, were very comprehensive and challenging, ensuring that we gained a deep and practical understanding of the topics.

This class was an excellent investment of time and effort. It provided a thorough education in Data Science and AI, with a perfect balance of theory and practice. I highly recommend it to anyone looking to expand their knowledge and skills in this exciting field. 

The faculty were knowledgeable and supportive, and the mentorship and learning support were top-notch. Special mention goes to Texas, our program manager, and the instructors,  Amir Tavasoli, Ishwor Bhusal. Vibhor Kaushik, Frederic Premji, Saurabh Kango, Anuj Saboo  who mentored the live sessions. Their extensive industry experience made the sessions engaging and filled with real-life knowledge, greatly enhancing the learning experience. Overall, the program provided a holistic and enriching educational journey. Read less

I recently took an online course and I really liked it. One of the best things about this course is that you can manage your own time. You can study at your own pace, which is very convenient. The course includes both online materials and virtual meetings, which help you understand the topics better. If you have any problems, there are advisors available to help you out.One thing that could be improved is the project part. It would be nice to have a video explaining the projects. This would make it easier to understand what to do.Overall, I learned a lot about coding, data science, and AI. The course was very helpful and I enjoyed it. Read less

The Data Science and Machine Learning program has been highly beneficial. The course content is well-organized, providing a good mix of theoretical knowledge and practical applications. The instructors are both knowledgeable and approachable, always willing to offer help and support. The hands-on projects were especially useful, as they allowed me to apply what I learned to real-world situations. Furthermore, the collaborative environment encouraged interaction with other participants, which helped deepen my understanding of the material. Overall, this program has greatly improved my skills and confidence in making data-driven decisions.  Read less

The course is excellent and informative. I would recommend it to anyone who needs to apply statistics in his work, especially if he is dealing with a large amount of data.  I used to work with Excel, SPSS, Stata, and R. Once, I handled a set of large data with millions of samples. I found out that the programs I was using were not enough to handle such data, and this course came out to help a lot. I would recommend knowing the basics of biostatistics before joining; the course explains that, but the course is full of info, and the pace is high. I couldn't keep up with the pace at some points, but the administration was very cooperative; they really care about your success and get the best out of the course.  Read less

The course was excellent. I enjoyed everything from the content to the learning material and to the morale and the indepth knowledge that the teachers had. The teachers were patient when explaining hard concepts such that I came from a almost zero coding knowledge to perfection. I also got to get questions reviewed on time. I would recommend great learning to anyone willing to learn coding quickly and easily. Read less

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