Great Learning

The AI/ML program offered strong foundational content with well-structured and engaging material. The concepts were clearly explained, and the supporting resources were effective in reinforcing learning.

The mentors, especially Aditya Maheshwari, were great in leading the classes and explaining the topics thoroughly. Their guidance helped make complex ideas more approachable. The project coordinator, Simran, and Arshia also did a commendable job managing any hiccups during the course and were quick to assist with technical issues.

That said, the program felt a bit fast-paced at times. Slowing down the delivery slightly would give learners more time to absorb and reflect on the material.

Lastly, the final two modules, Model Deployment and Computer Vision, did not feel as well aligned with the rest of the curriculum. Replacing them with additional ML coursework could better support the continuity and depth of learning.




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 I recently completed the MIT course on No Code AI and Machine Learning.The course offers a truly comprehensive exploration of artificial intelligence and data analytics, spanning from foundational overviews to advanced, in-depth concepts. What makes this program especially impactful is its emphasis on practical application—equipping participants to leverage theoretical frameworks in diverse industries to meet business objectives effectively. The inclusion of mentor-led sessions fosters deeper understanding through interactive learning and real-world case studies, while the project assignments create space to implement cutting-edge techniques such as predictive modeling and large language models (LLMs) to address actual business challenges. The program manager is excellent for their outstanding logistical coordination and proactive support, ensuring a smooth and enriching learning experience from start to finish. Read less

This course offered a fast-track immersion into Data Science and Machine Learning. Although I had prior programming, statistical knowledge, and experience with modern AI tools, I never had the chance to systematically study DS/ML until now. The course provided a structured path with weekend live classes, expert-led lectures, interactive discussions, and hands-on projects.I appreciated the flexibility of both full-code and low-code project options, allowing me to tailor my learning to strengthen specific skills. The availability of course materials for three years is a valuable resource for revisiting advanced concepts. Each module ended with a quiz and practical project that reinforced the learnings.In a compressed 8–10 week format (covering material equivalent to 1–2 years), I completed at least three impactful projects, including customer segmentation, classification modeling, and recommendation systems, each applying real-world data for data-driven decision making.This program not only deepened my knowledge but also enhanced my practical expertise in data science tools and techniques. I highly recommend it to professionals looking to bridge the gap between theory and practice in a short, intensive format. Read less

I finished the MIT Professional Education Applied Data Science Program: Leveraging AI for Effective Decision-Making. I started with a STEM and coding background, but the course is also designed for individuals with basic math knowledge. The team provides pre-course material that helps you catch up before you start. 

Before starting the course, I had some ML knowledge from other scattered courses and from applying it to some of my projects. This program is well-designed and structured, and helps put everything into place. I loved that it was comprehensive and covered topics from basic exploratory analysis, network analysis, ML, DL, and recommendation systems. It even touched upon Transformers, which I am now applying to one of my projects.

What I found particularly helpful were the tutorials and the hands-on projects. In this program, you need to study and learn by doing. It can be challenging at times, especially if you have a full-time job and a family. But working on the projects was rewarding, and the team is ready to help in case you need more time.

Finally, the MIT professors were extremely knowledgeable, clear when explaining complex topics, and kind in answering all the students' questions. The program manager and mentors were supportive and understanding. I highly recommend this program. Read less

I am currently finishing the No Code AI and Machine Learning: Building Data Science Solutions course by MIT Pro, and overall, it has been a great experience.

What I have really appreciated is how easy it was to follow – the content is clear, concise, and gets straight to the point. The hands-on sessions and real-world case studies make the learning process engaging, and the projects are a solid way to apply what you have learned.

Another key point is how the course ties everything back to the business side. It helps you understand the real impact of AI/ML decisions in daily business operations.

I would definitely recommend it to anyone who wants to understand how AI and ML can be applied in practice across different business areas – especially if you are not coming from a technical background.  Read less

I recently completed the Applied Data Science Program: Leveraging AI for Effective Decision-Making offered by Great Learning. The program curriculum is thoughtfully designed, covering a comprehensive range of topics including Python programming, Statistics, Machine Learning, Deep Learning, Recommendation Systems, and Generative AI. The content is both rigorous and industry-relevant.The professors and mentors explain complex concepts in a clear and structured manner, making it easier to understand and apply them effectively. The inclusion of real-time projects significantly enhances learning by offering practical exposure, which is invaluable for building a strong foundation and advancing one’s career in data science.One of the standout features of this program is the involvement of MIT professors, whose teaching quality is truly top-notch and aligned with the latest market trends. Additionally, the weekend mentorship sessions are highly interactive and focused on addressing individual student queries, ensuring no one is left behind.A special mention goes to our project manager, Parichita, who played a crucial role in managing our batch. She was extremely supportive, always approachable, and handled student concerns with great patience—even accommodating our work schedules whenever needed.Overall, this program stands out as one of the best in the current market, offering exceptional value when compared to similar programs from other institutions. Read less

The course was great and I learnt a lot from all the hands on projects and assignments. The instructor was very clear on explaining all the concepts. Our program manager, Sandhya, was very responsive on our queries and followed up on us regularly regarding the experience of the course.  Read less

Im currently transitioning career and this course taught me everything I needed to know. I now feel ready to start my brand new data scientist career. The platform is awesome, the content is well structured and edited, the teachers are great and the material is top notch. Read less

Extremely disappointed with the overall experience at Great Learning, especially around their "Refer and Earn" program. They heavily promote this initiative, but in reality, once you refer someone and they enroll, you're left chasing them endlessly for the referral benefits. Despite several follow-ups via email and messages, there has been no proper response or resolution — not even basic courtesy to acknowledge communication.Ironically, during the enrollment process, they will call you even at midnight with urgency, pushing you to enroll to avail limited-time offers. But once the payment is made, their support and accountability completely vanish. This is not how a professional or corporate culture is supposed to function. The process is opaque, frustrating, and borderline exploitative when it comes to honoring referral commitments.I feel compelled to share this experience so that others don’t fall into the same cycle of mental exhaustion and wasted time. If Great Learning truly values its learners and their community, it must seriously work on improving its transparency, communication, and ethics around referral handling. Read less

This program comes with lot of positives.
1) Affordable (even if you are in job market).
2)Schedule friendly. The course material, quizzes and assignments are schedule friendly to a busy professional
3)Exhaustive curriculum. The course curriculum covers a broad range of topics in ML and AI needed for an experienced professional.
4)Curriculum is taught by highly qualified professors as well as highly experienced professionals.
5)The course supports both 
6)Last but not least, you get a certificate from a top tier university in Texas, UT Austin.

I already started applying some of these concepts in my everyday work and started to see new possibilities. Read less

I recently completed the Data Science and Machine Learning: Making Data-Driven Decisions course offered by MIT IDSS, and I must say it has been an incredibly enriching experience.

The course is exceptionally well-structured, balancing theoretical foundations with real-world applications. It covers a comprehensive range of topics—statistics, data wrangling, exploratory data analysis, supervised and unsupervised machine learning, and causal inference—all while focusing on making effective, data-driven decisions.

What stood out to me the most was the clarity of instruction and the emphasis on critical thinking rather than just tool usage. The instructors did a great job explaining complex concepts in a digestible manner, and the practical assignments reinforced learning through hands-on experience.

Whether you're a beginner looking to enter the field or a professional seeking to strengthen your analytical skills, this course provides a solid foundation backed by the academic rigor of MIT.

Highly recommended to anyone serious about data science and its decision-making applications! Read less

I am very satisfied with this course! It provided a comprehensive understanding of how to apply Data Science methods and Artificial Intelligence for effective decision-making. The organization of the educational process is of a high standard, with engaging lectures and practical sessions with mentors that greatly enhance the learning experience. The course includes a wealth of well-structured material, with everything explained gradually from simple to complex concepts, and reinforced through hands-on practice. The course is led by professionals in the field, which adds to its credibility and quality. 

Practical projects are especially valuable, allowing students to consolidate their skills. The assignments are thoughtfully designed; for example, the input data is carefully selected so that students can analyze the results and experiment with different solutions. Overall, the course is highly recommended for anyone interested in developing their Data Science and AI skills, as it combines clear explanations, practical insights, and high-quality content tailored for effective learning. Read less

 24 Hours, 100 Roles: The Impossible Math of a Woman’s Day Earning a certificate from MIT Professional Education carries serious weight in the tech and business world. It’s a strong signal of my commitment and capability. Courses are taught by renowned MIT professors and researchers, offering insights grounded in cutting-edge research and real-world application. The program emphasizes practical projects, including full-code assignments and real-world case studies. Students praise the mentorship, peer collaboration, and program management. Even those juggling work and family found the structure manageable with weekend dedication. It’s a 12-week program that demands consistent effort. If you’re balancing a full-time job teaching at a higher education institution and parenting (like me), it can be a real stretch on your schedule. I feel like…I did it! I managed all, and I feel good about this. Very time-consuming, but what you can learn compensates for it. I am the vice coordinator of a Master's degree in Data Science for Social Sciences, and I just wanted to learn more to help my students. I did not want to be a data scientist, but I hear all the time that this course opens lots of doors. Yours can be the next! 



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I'm pleased to announce the successful completion of the MIT Apply Data Science Program: Leveraging AI for effective Decision Making. Having a background in programming and having undertaken various learning experiences, I can confidently say this program stands out as one of the most comprehensive and well-rounded courses I've encountered.
The curriculum provided a holistic understanding of AI and machine learning and deep learning concepts, with particular emphasis on practical applications. A significant highlight was the MIT teacher’s lectures, which profoundly deepened my comprehension of the material. Furthermore, the active support from moderators, who are themselves industry experts, was invaluable. Their willingness to clarify doubts and provide insightful suggestions for further learning significantly enriched the experience. The mentors review sessions also offered unparalleled guidance and reinforcement.
The course masterfully covered a wide array of topics, demonstrating how machine learning and deep learning can be applied to solve real-world business challenges. These included data visualization, data exploration, the application of NumPy and Pandas, Exploration of data analysis like PCA, MDS, t-SNE and various algorithm training methods on Supervise and Unsupervised leaning, clustering including Hierarchical, K-Means, DNSCAN, Gaussian, Decision Trees, Random Forests, and Time Series analysis and much more. The deep learning segment delved into neural networks and recommendation systems, all while addressing concepts of big data. The program effectively showcased the intricate workings of AI and its practical implementation in various business contexts. Despite its intensity and rigor, this course offers an exceptional learning journey that I highly recommend to anyone looking to gain a robust understanding of AI, machine learning, deep learning, Recommendation systems and much more  and  Become a Data Science decision maker. Read less

The Post Graduate Program in Artificial Intelligence and Machine Learning (AIML) from Great Learning, in collaboration with the University of Texas at Austin, has been an incredible journey of growth and discovery.
I genuinely believe this is one of the best programs available for anyone looking to deepen their understanding of machine learning, neural networks, and AI applications. The curriculum is thoughtfully structured, striking the perfect balance between theory and practical implementation.
Each module and project challenged me to think critically and solve real-world problems — from model building and evaluation to applying concepts like deep learning, NLP, and time series forecasting. These hands-on experiences have significantly boosted my confidence and skills in the AI/ML domain.
A big thank you to @Great Learning and the outstanding support team for making this journey so impactful. Highly recommend this program to professionals eager to step into the world of AI and make a meaningful impact. 💡 Read less

I just completed the Applied Data Science Program: Leveraging AI for Effective Decision Making  conducted by the MIT Professional Education in collaboration with Great Learning. Right at the onset I would like ro say that the Program was very well paced, structured and managed by Great Learning. The  MIT Professors were, well, brilliant.The Program has a preparatory period with instructional  videos and live sessions led by industry professionals to help learners get familiarized with Python and concepts in Statistics and Probability. I had decided that I would do the full code version, meaning that I would use Python to complete all projects and assignments. Initially, I was apprehensive due to my lack of experience with the language, but the preparatory period helped alleviate these concerns.The Program is well structured into different modules covering various aspects of Data Science, Statistics, Machine Learning, Neural Networks, Deep Learning and Recommendation Systems.The weekday live sessions with the MIT professors covered various topics, and these topics were reinforced with practical case studies in the weekend sessions with the mentor.The learners are divided into groups and each group has a mentor. I particularly enjoyed these sessions with the mentor.Another highlight of the Program was the Capstone project which helped me delve deeper  and consolidate my understanding of the Convolution Neural Networks.I would highly recommend this program to anyone eager to explore Data Science and AI. It provides a strong foundational understanding, making it suitable for both developers and decision-making managers. As a developer, I found it particularly insightful.

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Enrolling in the Data Science program with Great Learning has been a transformative experience. The curriculum strikes the right balance between theory and real-world application, making complex concepts accessible and practical. The support from MIT Professors, experienced Mentors, and dedicated Program Managers was instrumental in keeping me motivated and focused throughout the journey. This program has expanded my career outlook and given me the confidence to pursue opportunities in data science. I highly recommend Great Learning to anyone looking to upskill or transition into this exciting field. Read less

I began to be interested in the concept "Prediction" since March due to the internship in one start-up company. They use machine learning to analyze sport video. After learning this program, I got more interest,especially the project to predict whick kind of customers would cancel their hotel booking. I was quite busy in last several month but now I have time. I want to learn more about it and spend more time.  Read less