Great Learning Anmeldelser 

Good:
I had a chance to go through GL's PG program in Generative AI for Business Applications and I could say I have learnt a lot from this course. Right from first chapter towards end, they have covered a vast variety of topics in Gen AI field. I know now how Gen AI works at the backend. Instead of just using, now I understand what's happening underneath.
This course also gave me opportunity to implement my learnings into practical applications, which helped me in understanding the nuances of Gen AI (such as negative case testing, security and how to use AI responsibly). Using techniques like RAG, Agentic AI, LLM as a judge, RAGAS etc has given me confidence in applying same in my career wherever applicable.

What could be improved:
Due to nature of how AI is evolving, my suggestion is to keep updating the syllabus as new things come out. Instead of extending the program timeline, swapping more recent and important topics would help keep timelines intact and also providing chance for cohort to be updated.

Program manager:
I also would like to call out my program manager, Amit who has been a great source of help throughout the program. In one specific situation when I reached out to him he promptly helped me by guiding and suggesting on how to navigate through the uncertainty I had in my mind.

Overall, I would say a great course for someone who is interested in jumping into behind the scenes of Gen AI and elevate their understanding of concepts.

Good course

A well-structured course that makes machine learning concepts easy to understand without requiring programming. Supportive instructors, a good balance of theory and hands-on learning, and flexible projects make it a great choice for beginners or anyone exploring AI in a no-code environment.

I am currently enrolled in the 7-month Post Graduate Program in AI & ML with UT Austin through Great Learning, and it has truly exceeded my expectations. The program is highly student-focused, combining strong academic instruction from university faculty with weekly live mentorship sessions led by practicing Data Science and Machine Learning professionals who bring valuable real-world insight to the learning experience.

Students are placed into cohorts, which helps create a more supportive and engaging learning environment. Each cohort is supported by dedicated Program Managers who are highly active, communicative, and consistently engaged throughout the week. They do an excellent job keeping students informed about due dates, upcoming live mentored sessions, and key milestones. Their level of communication and support makes it clear that they are genuinely invested in student success and work hard to make sure no one falls behind.

The coursework is challenging yet manageable. The program is structured into seven modules, each concluding with a final assignment that promotes steady and meaningful progress. Although the program is Python-intensive, it is designed with beginners in mind and builds step by step from foundational concepts to more advanced techniques. In Module 7, we will train an AI model to interpret images, which is an exciting milestone and a great example of how far the program progresses.

One unexpected benefit has been the improvement in my intuition across related areas such as math, physics, and engineering, something I did not anticipate but truly value.

I highly recommend this program to anyone looking to build a strong, practical, and well-rounded foundation in Artificial Intelligence and Machine Learning.

These guys held themselves out to be a division of University of Texas McCombs Business School…the I immediately saw all kinds of unusable links and disorganized information.

I put stop on the initial payment, and now they keep harassing me with fake classroom reminders.

Valuable course lessons and amazing coach who was very patient and knowledgeable.. course content is apt .. after completing this course I was able to immediately use it in my work for innovating solutions

This experience was great. The knowledge acquired and the preparation of the mentor every week helped me understand the topics in a better way.
Good course. Statistics heavy and model building heavy, but you have flexible options to present projects to demonstrate your knowledge according to your expertise. Would recommend to those who want to learn more about how machine learning models are built from scratch.

Until now, the program has been really helpful; I have a lot of new ideas to implement in my current work.

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.