Great Learning Reviews 

Indeed a Great learning experience—truly insightful. I thoroughly enjoyed the entire journey, especially the video lectures delivered by such distinguished faculty. Exploring the world of AI made the program genuinely fun and engaging. My program manager, Aditya, was incredibly supportive and flexible with my work schedule and holiday breaks. I also loved the hands‑on projects in each module, they provided a clear structure and helped build a strong foundation in AI and ML.

After completing the Generative AI for Business Applications program, I can confidently say the course material is top-notch. It builds a strong foundation—starting with ML and neural networks before tackling advanced concepts like LLM tuning and RAG.

The professors from UT Austin are excellent and deliver high-quality content. However, the true highlight for me was the mentor learning sessions. They were incredibly supportive and helped me apply complex concepts to business scenarios. The course advisors also made the administrative side of things effortless.

Pros: Excellent faculty, practical mentor sessions, and a curriculum that serves both technical and non-technical backgrounds.
Final Verdict: Highly recommended for anyone serious about AI.

It was a great course and my first step in learning AI. The stuff was helpful and supportive.

Excellent for working professionals. Flexible with so much to manage around

I completed the Great Learning No Code AI & Machine Learning Certificate Program last week, and it exceeded my expectations.

The hands-on work with KNIME and RapidMiner was the highlight—both tools are intuitive and practical, making it easy to build workflows, train models, and generate insights visually. The experience was engaging enough that I explored beyond the assigned projects.

Mentor and instructor support stood out as well. Sessions were interactive, and mentors were approachable and invested in ensuring understanding.

The curriculum is well-structured, with each module building naturally on the previous one, making the learning process smooth.

The only area for improvement would be slightly faster project feedback, but overall, it was an excellent experience.

It was overall a smooth journey. Timezone differences for the program advisor to respond and the lab challenges were there. but for that ,it was good.

I just want to take a moment to thank my mentor Aditya Menon for all the support throughout this program. This program is great if you want to become a Data Scientist.

In my opinion, It’s a good course to kick start the AI/ML journey. In the video lectures, they explained the concepts pretty well and also walks through some good use cases.
My mentor Maksym was good and addressed the concerns / questions. Program Manager Aditya was also very helpful. He understands the problems of working individuals and was flexible with the deadlines.
Sometimes I did feel that 2 hrs. Of Mentors time were not enough as we cover many things during the weekly video lectures.
Capstone Projects were also good.it definitely boosts your confidence that you can do something in the real life projects.
Overall I will recommend this course to anyone.

The course has all the details needed for a person new to the world of AI to be equipped with necessary skills to look for a job. What I like the most about is the way the coursework gets released on a weekly basis followed by graded quizzes and a mandatory Mentor Learning session each week. It is very well structured and all three projects were based on real world situations. The instructors are very knowledgeable and detail oriented.

The support from the program manager, Mohammed is great. Always responds within a few hours.

Well-structured program that strikes a great balance between theory and practical application. What stood out was the strong focus on real-world business use cases rather than just academic concepts. The hands-on projects made it easy to connect AI/ML concepts to real scenarios.

The mentorship was excellent, and the instructors were very knowledgeable. A special mention to the Program Manager, Aditya Menon, who was extremely responsive and made the overall learning experience seamless.

From a professional standpoint, this program provided a solid foundation to better understand and apply AI/ML in business contexts. I would definitely recommend it to professionals looking to build practical, business-focused AI skills.

I’ve had a positive experience with Great Learning overall. The company does a great job of structuring courses in a clear, practical way that makes it easier to apply AI concepts in real-world scenarios. The mentorship and support system stand out, especially the access to industry experts who bring valuable insights. I also appreciate the focus on career outcomes, with resources that help learners prepare for interviews and job transitions.

My program manager, Mr. Amit was incredible. I would 100% recommend this course to anyone who wants a better understanding of what AI really means, how it works and how to apply it to business. Mr. Amit was very timely in his responses and very organized. He went above and beyond for me when I had questions. I am really appreciative to him, our mentors, and all of the staff and faculty for this course.

Have a great experience during the entire program. The program was very comprehensive and provided good knowledge on AI. The mentor session was also very educative. Program manager was also very helpful in providing contant reminders on what need to be done at any given time and support.

I am writing to share my positive feedback regarding my recent learning experiences with Great Learning programs. As my current company has placed a strong emphasis on developing AI skills, I began researching various curricula and ultimately decided to continue my education through Great Learning.

I recently completed your course on Generative AI and found it to be an excellent investment. The curriculum was highly relevant and comprehensive, and I was particularly impressed by the quality of the instructors. This follows my participation in the UT Austin AI/ML program last year, which was also a very positive experience. The faculty members are exceptional, providing well-structured sessions and clear explanations of complex concepts while bringing valuable industry insights to the discussions.

Thank you for providing such engaging and high-quality educational programs. I look forward to applying these skills in my professional role at my organization.

I had a positive overall experience with the MIT AI/ML program delivered by Great Learning. The faculty are excellent, and the sessions are well-structured. The instructors explain concepts clearly and bring strong industry insights, which makes the learning engaging and valuable.

However, there were a couple of areas where my experience could have been better. One key expectation at the time of enrollment was to learn how to build and deploy practical computer vision applications. While the Computer Vision module covered model building, training, and evaluation well, the deployment aspect (real-world implementation) was not included. Adding this would make the program significantly more impactful from a practical standpoint.

Another area for improvement is query resolution. While simple technical issues were handled well, more important queries related to course expectations and learning outcomes took considerable time and often did not result in actionable solutions.

Overall, the program provides strong foundational knowledge and is worth it for learning core AI/ML concepts. With improved clarity during enrollment and better support for learner queries, it could become an even stronger offering.

I recently enrolled in this course, and it has been an outstanding learning experience from the very beginning. The content is thoughtfully structured, making complex concepts easy to understand and apply. The instructors explain topics clearly and provide practical examples that connect theory with real-world applications. I especially appreciate how engaging and well-organized the lessons are, which keeps the learning process both enjoyable and effective. The course has significantly strengthened my understanding and confidence in the subject. We have Managers for a group of students and I especially like the way they make it very easy for us by sending us a day-by-day plan for the week to cover all learnings for that week, so we can be upto date on the topics. It is evident that a great deal of expertise and effort has gone into designing this program. I would highly recommend this course to anyone looking to gain valuable knowledge and practical skills in this field.

GreatLearning provides a solid platform to build the knowledge and evalaute the learning.

Excellent program with great instructors and the curriculum was very relevant and comprehensive.

​I recently completed a course on Generative AI, and it was an excellent investment. The program does a great job of bridging the gap between high-level theory and actual technical execution.
​There were three main standouts for me:
​Logical Curriculum: The course is designed with a very clear, step-by-step flow. It ensured I had a solid foundation before moving into more advanced topics like RAG (Retrieval-Augmented Generation) and multi-agent systems.
​Hands-on with Industry Tools: The use-case projects were a game-changer. Getting hands-on experience with Python, LangChain, and LangGraph allowed me to build confidence in solving real-world problems rather than just watching tutorials.
​Expert Instructor Support: The weekly sessions were invaluable. Having direct access to the instructor helped me deepen my understanding of complex AI concepts and get past technical roadblocks quickly.
​Overall, it’s a high-quality program for anyone looking to gain practical, job-ready skills in the AI space.

I decided to join this 12-week program to deepen my understanding of Retrieval-Augmented Generation (RAG) and agentic AI systems, particularly their application in real-world, high-stakes domains such as engineering and education.

The program provided a well-structured progression from foundational concepts to more advanced implementations. What I found especially valuable was the emphasis on practical workflows—moving beyond isolated models toward integrated systems that combine retrieval, reasoning, and action. This shift is critical, as modern AI solutions increasingly resemble ecosystems rather than standalone models.

The learning experience was both rigorous and applicable. Concepts were not treated as abstract theory but as tools that can be deployed, tested, and iterated upon. This made it easier to connect the material with ongoing projects and research initiatives.

Support throughout the program was consistent and responsive. Questions were addressed in a timely manner, and the overall environment encouraged exploration without losing direction.

In summary, this program is a strong option for professionals seeking not just to understand AI, but to operationalize it—bridging the gap between conceptual knowledge and functional systems.