The University of Texas at Austin McCombs School of Business

I was genuinely blown away by this program—it's unlike anything out there. Instead of slogging through endless books, you dive straight into practical case studies, integrated closely with theory, that show you exactly how to apply cutting-edge AI and... Read More ML knowledge immediately. This unique approach is not just innovative, it's a game changer for modern learning. I'm all in to support this platform, which is truly setting a new standard in education. A unique feature of this program comparison to other existing, which are purely automated, this platform gives opportunity to connect to professional, knowledgeable stuff which is always willing to help you, unbelievable kind!

The Artificial Intelligence and Machine Learning program has been an incredibly rewarding experience. Despite not having a programming background, I have successfully learned to use Python effectively for data analysis, enabling me to make well-informed... Read More business decisions. The course also equipped me with the skills to evaluate and analyze large datasets, which would have been a daunting task. Furthermore, the program is led by excellent professors who excel at simplifying complex concepts. Their guidance has been invaluable in helping me apply Python to solve various business problems. This course has enhanced my analytical capabilities and decision-making skills.

- For me enrolling in the Artificial Intelligence & Machine Learning course at Texas University was a transformative experience that expanded my understanding of AI technologies, algorithms, and real-world applications. From theoretical foundations to... Read More hands-on projects, the course provided a well-rounded perspective on AI and ML, making it an invaluable learning journey.

-One of the most exciting aspects of the course was the practical implementation of AI/ML models using Python and other frameworks .

-Some of the key projects included are as follows:
Predictive Analytics: Building regression and classification models for real-world datasets.
Computer Vision Applications: Implementing object detection and image recognition models.

-Faculty & Learning Environment:
The faculty members were highly experienced, providing deep insights into AI concepts with real-world case studies. The collaborative learning environment allowed for peer discussions, hackathons, and research-driven explorations.

-Challenges & Takeaways:
While the course was intellectually demanding, it was equally rewarding. The major challenges included:
1.Grasping advanced mathematical concepts in ML.
2.Optimizing deep learning models for efficiency.
3.Managing large-scale datasets and handling data preprocessing.
4.However, overcoming these challenges strengthened my problem-solving skills and deepened my AI/ML knowledge.

The course was engaging, informative, and expertly structured, providing me with both theoretical knowledge and practical insights. The real-world applications and hands-on projects truly enhanced my understanding of AIML concepts. A special thanks to... Read More my Programme Manager, Tania, for her exceptional support, guidance, and dedication. Her expertise, patience, and encouragement made a significant difference in my learning journey.

I highly recommend this program to anyone looking to develop their skills in AIML. The comprehensive curriculum, interactive approach, and dedicated instructors make it an outstanding choice for learners.

Thank you again to Tania and the entire team for creating such a valuable and enriching experience!

I am so grateful to the team at Great Learning, and the University of Texas at Austin. My time as a student in the Data Science & Business Analytics program became difficult overtime due to personal matters. I was unable to balance school, work, and family... Read More matters around my dad’s health. But, both faculty at Great Learning and University of Texas at Austin, was able to assist me with reducing the pressure of meeting deadlines. I explained my situation to the advisors. And, as a result, I was able to find ways to balance school, work, and continue to be a caregiver to my father. With all that I had going on I was also able to continue to maintain a high GPA that was well-over a 3.0, but a 3.7.

Taking courses online isn’t an easy task with all the study materials, lectures, and project deadlines you have to meet. But, big appreciation goes out to the team that managed my program from both Great Learning and University of Texas at Austin. You guys were the best, and I can’t thank you enough for everything!

The program for AI ML was very thorough. Enjoyed going through the detailed modules. The reference material was in abundance and the mentors 1:1 sessions were great as well. The entire team was very supportive and helped me through along the course. Would... Read More definitely recommend to go for this course if you are looking to upskill.

I came into the program with no working knowledge in the field of Data science. The curriculum covered basics and then progressed to cover highly advanced topics like various types of Neural Networks, LLMs, GenAI etc., all the while keeping the pace such... Read More that it never felt overwhelming and at the same time provided ample opportunities to learn, explore above and beyond and test one's abilities. The quality of instructors, program managers and overall support made the program quite rewarding and enjoyable. Highly recommend this to anyone wanting to gain enhanced knowledge in the field of Advanced Machine Learning and Deep Learning.

I definitely appreciated the help that was always ready for me. Workload is not too bad when you’re able to manage your time. The information in this course will definitely be something I know I will come across again. Coming from a different background,... Read More I definitely felt intimated in the beginning, but the resources are endless.

Pros - The online courses are well-organized and easy to navigate. Instructors are very good at transferring complex information into easily understandable concepts. The live classes were excellent opportunities to reinforce learning. I met and connected... Read More with other professionals seeking to up skill and remain relevant in the ever-changing and evolving environment of data science and technology.

Cons - Time commitment was more than expected :)

Absolutely loved the course! Helped me get a good grip on Data Science! I think the pace of the course was good and I liked how new and advanced concepts were introduced in every module! The projects we did had a lot of layering and they helped in solidifying... Read More the concepts from prior modules. I liked the AI based hands-on exercises. I think those are great value-adds to those who intend to get hands-on with data science. Last, but not least, the program managers did a great job in keeping us updated, offering us flexibility as needed and encouraging us on! Thank you!