The University of Texas at Austin McCombs School of Business

Enrolling and participating in the Post Graduate program in Artificial Intelligence and Machine Learning: Business Applications has been a transformative experience for me. The course has not only equipped me with the latest knowledge and skills in AI... Read More and ML, but it has also opened my eyes to their vast potential in driving business growth and innovation.

The curriculum is comprehensive, up-to-date, and well designed to cater to both beginners and experienced professionals. The faculty members are industry veterans who bring a wealth of real-world experience to the classroom, making the learning process engaging and practical.

What sets this program apart is its focus on business applications. It bridges the gap between technology and business, enabling us to apply AI and ML concepts to solve real-world business problems. This has given me a unique perspective in my role and enabled me to view both current and future challenges as opportunities.

I would highly recommend this program to anyone looking to delve into the world of AI and ML and explore their business applications. It’s a worthwhile investment that pays off in terms of knowledge, skills, and experience in this new era of AI.

Pros:
Learning Python and leveraging it in Machine Learning applications and LLMs helps you understand the significance of the advancements that have been made in the last two years. It's difficult for the human mind to comprehend learning with/from billions of parameters. After taking this course, it's easier to understand the recent advancements, but more importantly the speed at which we'll advance in the near future!

Cons:
Very few downsides to the course. The relationships made with the instructors, program managers, and participating cohorts help resolve problems in the class as well as challenges at work and in real life.

Tons of information that had to be digested in few weeks. Many ways to support doubts or any difficulties, staff always willing to support. Super hectic, gotta love the adrenaline. Course engagement a must in order to prevail! In deep learning of Data... Read More Science with some of the best representatives of it.

The highlight of this program for me was the flexibility of being able to review course videos and notes during the week on my own time, then meet with my mentor along with the other members of my cohort on the weekend in a mentored session that would... Read More tackle a project that provided a practical reinforcement of the learnings during the week.
The projects at the end of each course were a great way to apply knowledge gain to tackle real world data science problems and also add to my portfolio.
The mentorship and support provided by the program managers was great and I plan to utilize the career guidance and resume review included.

The video lectures teach everything very clearly. I have learned a lot since all those theories and everything was new to me. They explain everything as simply as they can. Every single second is very important. There are plenty of practice quizzes to... Read More do before the graded quizzes. Also, there are reference materials to deep dive into the topic by ourselves. Mentored Learning Sessions at the end of every week are very helpful to recall what you have learned throughout the week. I would recommend this course who is willing to learn.

This course was consistently engaging from start to finish. I found my mentor session with Paolo particularly enriching, as he delved into both course material and valuable industry insights. The staff were consistently supportive and motivating, ensuring... Read More no one felt left out. While I highly recommend the course, I advise prospective students to be fully committed to get the most out of it

Foundational knowledge and projects are top notch. You get to learn how to think critically as a data scientist and bring value to a company. The program manager Kanchan is very Hands-on and ready to help clarify any doubts. My only con is the job support... Read More system.

Pros: Good coverage of the basics of python programming and statistics. Great coverage of all the required topics in related to machine learning. Cons: Job support could be better. Just make sure that you have some basic knowledge of statistics and python... Read More programming before starting the program.

It can be difficult, but I was able to keep up with it. I devoted extra time where I thought I was lacking in understanding. I was very pleased with my progress throughout the program. In the end, I’m glad I kept going even when I was doubting myself.... Read More

The hands-on learning sessions and assignments are extremely valuable. They provide meaningful opportunities to practice the course material and demonstrate competency. Additionally, the mentored learning sessions provide an arena for addressing specific... Read More questions and problem solving. I feel comfortable with the material and my ability to perform in a future role that depends on the information delivered through this course.

Enrolling in the Postgraduate Program in Data Science & Business Analytics was a pivotal decision in my career. The comprehensive curriculum and the expertise of the professional staff provided me with a solid foundation in both data science and business... Read More analytics. The program's demanding nature required me to hone my time management skills, but the supportive program manager and the vibrant community of peers made the journey less daunting. Although the financial and time investment was significant, the knowledge and skills I acquired opened new professional opportunities for me, making it a worthwhile endeavor. The only challenge was the initial learning curve with new technologies, but overcoming this has made me more adaptable and skilled in my field."