The University of Texas at Austin McCombs School of Business

I’m thrilled to share that I’ve successfully completed the Post Graduate Program in Data Science and Business Analytics with The University of Texas at Austin, powered by Great Learning.

The journey wasn’t always smooth, but the unwavering support from... Read More the team made it possible. A huge shout-out to Mr. James for the insightful mentoring sessions that bridged the gap between theory and practical application. Special thanks to Ajil, my program manager, who went above and beyond with his consistent follow-ups—especially during a period when I almost dropped out. Your dedication made all the difference!

The curriculum was rigorous, yet accessible, even for someone like me who had no prior experience in Python or other coding languages. The hands-on experience with seven practical projects helped solidify my understanding and gave me the confidence to apply these skills in real-world scenarios.

As a Risk Manager, I’m particularly excited to leverage the power of data science and business analytics in my field. The concepts of supervised and unsupervised machine learning will help enhance our risk models, identify emerging patterns, and improve predictive capabilities to make more informed decisions on managing banking risks .

The name Great Learning truly reflects its mission—making learning great for everyone. I’m incredibly grateful to have been part of this transformative journey.

Before this postgraduate course, I had taken several courses and study programs on other platforms. I finally decided that I needed something much more structured. I can say that the quality of the material, the support of the teachers and the constant... Read More and challenging structure of the program changed me completely. AI and Machine Learning are already familiar topics for me, I have come to understand them and I can say that I now feel prepared to face real-life projects. I am very happy with the results obtained in this course.

The AI/ML program at Texas University met my expectations. The content is comprehensive and relevant, covering everything from foundational concepts to advanced applications. The hands-on approach allows for immediate application of the learned concepts.... Read More I truly gained valuable knowledge in programming, machine learning, and data analytics. I highly recommend it to anyone looking to deepen their expertise in artificial intelligence and machine learning with a high-quality educatio

Enrolling in the Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications at UT Austin’s McCombs School of Business has been one of the best decisions of my professional journey. Coming from a cloud computing and digital... Read More marketing background, I was looking for a program that could bridge my knowledge gap in AI/ML while offering practical business applications—and this program delivered beyond expectations.

The course is packed full of material more than I can learn in 9 months. I am planning to go back through all the material after. You get three years to access everything.

The course requires 10-12 hours a week and for me it is at least that. I don’t... Read More have much programming experience so it takes me a while to catch on to some of the coding. I also listen to the videos and lectures more than once if I’m not catching on right away.

If you keep up with the work the course is very doable and it’s not too difficult to get good graded scores.

The program provides a structured yet flexible learning experience. The practical application of AI and ML are taught by academic experts and then by experts in the field. The projects truly allow you to demonstrate your understandings, whether one opts... Read More for a full or low code approach. The program support team is always on hand to support students. All in all, this has been a truly rewarding experience.

This program provides hands-on experience in AI ML model building, prediction, and performance improvements with different machine learning and deep learning algorithms.
Each section also includes case studies, which give enough practice to develop expertise.... Read More
The program curriculum and project assignments are designed in such a way that both programmers and non-programmers can attend.
This program supports the low-code version for projects. Professionals in managerial positions who do not want to code too much can choose this for assignment submission.
Weekly mentor learning sessions are convenient and practical; the mentor is always available to clarify doubts.
In each mentor learning session, we also review the case studies based on the topics every week.
After every section, we have enough practice tests. Each week, we have a graded quiz.
The video lectures and material provided are outstanding and very helpful. The professors and mentors are very experienced in their respective fields.
You will learn Python foundations, machine learning, advanced machine learning, Neural Networks, Computer Vision, Natural Language Processing, and many other courses.

This is an excellent program for gaining a thorough understanding of AI ML.

Also, the program manager is always available to resolve any queries.
I highly recommend this program if you want to get an expert in the AI ML area.

I started my studies at McCombs School of Business for AIML for Business Applications in July 2024. The reason I decided to take this course was because as a technology consultant, I saw the writing on the wall. AI is not slowing down and in fact, recent... Read More news from Amazon says that they can't keep up with the server demand. AI is here to stay. Just as the mobile phone became ubiquitous, so will AI in several industries and applications. Many websites advertise learning Python in 10 weeks, 3-months, whatever. But unless you get a solid foundation of what you do with it, it will never stick. That's why I am glad that I took AIML with McComb's School of Business. As an extension of the University of Texas, this post-graduate program holds a prestigious ranking for many graduates to which I hope to join very soon. I have completed 3 projects as of this review and only have another 3 to go. Hopefully, the time passes by fast and I score well on those project as well. For the prospective student, I recommend having some serious study habits as this course is not a push over. I am not a programmer but I did have over 2o years of exposure to coding and basic structure of programming. Key points that will help you is to take organized copious notes ( I use OneNote which works well). Ensure that you create a glossary for each lesson and learn how the teachings are used. Quiz yourself, what is it? How do I use it, and what are the valid values for applying it. Follow these tips and you should do well and be successful in graduating with your own Post-graduate Program Certificate of Completion from the University of Texas at Austin in Artifical Intelligence & Machine Learning: Business Applications.

I was initially skeptical about this course due to its slower pace at the beginning. However, once we started applying the fundamentals and exploring different machine learning techniques, I realized its real-world value in my pursuit of a data science... Read More career. The course is accessible to all experience levels—whether you have coding experience or not, you'll still gain practical, hands-on knowledge that can be applied in real-world scenarios.

The was a perfect for technical insights and strategic frameworks, tailored specifically for decision-makers. Demystified AI concepts and focused on practical applications, enabling me to leverage AI within an organizational context, & strategic planning... Read More