Great Learning

This experience has been life changing. Truly a challenge that’s worth very bit of effort. The commitment of the program managers, mentors and online professors is simply outstanding and inspiring. 10/10 for this well designed program. Couldn’t be more happy for making it to this point and looking forward to becoming my best version with this new knowledge.  Read less

The program curriculum was very well structured to get you a strong foundation as a beginner in the AI&ML space. It maintains a good balance across theory and challenges you in form of real life projects to apply the concepts learned. While a bit fast paced considering I was also juggling full time work, I found it to be extremely engaging and feel like I have a great foundation after finishing the program.  I also want to make special mention of my program manager Himanshu who went above and beyond in providing me support to complete my assignments especially in weeks when work was crazy or when I was traveling. Overall a great experience and I would highly recommend this program to someone looking to get their hands dirty in the AI&ML arena. Read less

I recently completed the Post Graduate Program in Artificial Intelligence and Machine Learning offered through Great Learning & UT Austin, and I have to say the experience was absolutely wonderful!  Through curated asynchronous curriculum videos as well as weekly live mentored learning sessions and a slew of hands-on projects, I learned an incredible amount in a relatively short time.  The content was just what I was looking for and the support staff was responsive to all of my queries.  I only wish they had job placement support.  Nevertheless, I learned an incredible amount and am glad I did the program. Read less

I'm currently completing the MIT No-Code AI and Machine Learning program through Great Learning, and so far the experience has been outstanding. The course provides a solid foundation in AI and machine learning, even for those who don’t come from a coding background.

What I’ve appreciated most is the focus on the mathematical and statistical concepts behind the models. Even though it's a no-code course, understanding the theory is critical and this program explains it clearly and thoroughly, with just the right amount of detail.

The support from the Great Learning team has been exceptional. A special thanks to my Program Manager, Twinkle, who has been incredibly helpful from the very start, whether it was navigating the learning platform, setting up the necessary software, or answering questions along the way. Everything has been organized, timely, and smooth.
I'm looking forward to completing the course soon, and I already feel much more confident in applying learnings in a business context.

Highly recommended even without a technical background, but still want to truly understand how and why it works. Read less

The No Code AI and Machine Learning program offered at GreatLearning.com has far surpassed my expectations. I have always wanted to learn about AI, but did not have time to learn coding at the proper level. I wanted to take a course that could turn my interests into something meaningful, and I could apply what I learned from this program in my professional environment.

Like I mentioned before, this program’s curriculum has a systematic approach that begins with the theoretical aspects, and it goes through various practical applications in a stepwise manner. It covers the important aspects of AI and Machine Learning and ensures that learners of all levels can gradually build their skills. With a balance between theory and practice, the coursework was both enjoyable and valuable.

I was able to focus on what is really important in AI, including the concepts and models at its core. I was free to learn and apply AI through the no-code platforms introduced as part of the course.

The mentors and instructors possess great overall knowledge and excellent skills. Their insightful explanations of complicated ideas and prompt constructive feedback bolstered my learning. As for the support team, they were equally diligent in responding to questions and facilitating a seamless journey throughout the program. 

I am already able to confidently use AI and ML techniques to solve business problems at work. It is more than just a course; it is an accelerator. 


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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