Great Learning

I can't praise the program enough for its exceptional quality. It truly opens new perspectives for me, with blending scientific methodologies with practical business problem-solving techniques. I feel equipped to excel in a variety of professional settings.... Read More

The Data Science and Business Analytics program I have enrolled into is very well structured and the lecture materials,the video content of the professors who have expertise in the field has been organized in such a manner that it was a ease to toggle... Read More through the topics. The mentored learning sessions are an eye opener as what is the the expectations of the industry in terms of the standard of executing and packaging the projects as well as the presentation skills needed to share the insights with the Business Stakeholders.

The Post Graduate Program in Artificial Intelligence and Machine Learning conducted by Great Learning in partnership with the University of Texas at Austin McCombs School of Business more than exceeded my expectations. It was comprehensive, engaging,... Read More rigorous, and at times extremely challenging. It begins with a 4-week Python programming bootcamp for those with little to no programming experience and from there goes into the fundamentals of AI/ML. The Olympus Learning Management System (LMS), where you will spend most of your learning journey outside of working on specific projects, I found it to be easily navigable and accommodating. Unlike other online courses, this program stands out with its commitment to translating theoretical knowledge into practical skills essential for excelling in the AI/ML industry. The curriculum is comprehensive, covering cutting-edge technologies like Deep Learning, Computer Vision, NLP, TensorFlow, Generative AI, and more. What sets this program apart is its learn-by-doing approach, allowing students to apply their skills in real-time through interactive mentor-led sessions and hands-on projects. The structured learning journey, combined with mentor support and their rich professional experience, ensures students achieve their learning milestones while building a robust portfolio. With the credibility and academic leadership of McCombs School of Business, this program not only equips you with essential skills but also provides valuable job market insights, empowering you to pursue rewarding career opportunities in the field of AI and ML.

MIT/IDSS & My Great Learning was such a great experience. I'm walking away from it with real world application of machine learning techniques and the tools that go along with it. It was such a comprehensive program that had informative content and follow-along... Read More case studies. There were weekly mentor sessions to get you up to speed if you were having any issues with any of the modules. It was well organized and really had no problem throughout the 3 months. I've not only gained skills within the ML and data science sector but I received even more in-depth regarding the actual math and statistics behind it. Every section had a case study project that allowed you to apply what you just learned and projects that you could add to your portfolio.

The pros of Great Learning is the extensive volume of the learning content. The information was new with pragmatic real life case studies. The professors background cover works in field of data science at MIT. The remote teaching was the training setback... Read More to learning path. However it can be beneficial for a transforming world where work is virtualized. The program manager Dr. Middha is very supportive and prompt in helping students and providing responses.

I learned data science to the foundations. Began with basic rules of Python to complex topics such as recommendation systems. Great deal of work and good environment. I learned lots which can be applied to any new job. Happy to have completed the program.... Read More

This program covers Artificial Intelligence and Machine Learning concepts. Its is a great fast-paced program that begins with foundational courses on Python and Statistics, followed by 5 modules on Unsupervised Learning, Supervised Learning, Deep Learning... Read More and finally Recommendation systems. Each module comes with Practical Case Studies and curated resources which complements the live sessions with the incredible faculty from MIT. The weekend Mentor Learning sessions are absolutely valuable. The mentors are very helpful and give us a great insight into the real-world practices. Finally, the program ends with a simple elective project, followed by a real-world case as Capstone Project. Overall, it is a great program and I highly recommend it to anyone looking to learn Data Science applications in real world.

I am so glad that I enrolled in this course. It broadened my experience in data and ML and I am sure will help me greatly in my career and career development. The team Great Learning were very professional and I totally enjoyed my learning journey. Thank... Read More you so much all.

The content is very comprehensive in its coverage of both foundational machine learning and data science techniques. The topics are explored in the context of case studies with the guidance of industry experts, giving good exposure to real-world use cases.... Read More There's also plenty of resources to dive deeper into the theory for those who are inclined. The excellent quality of teaching by MIT faculty makes it possible to learn so much in little time. Given the breadth of material, those who have limited experience in programming and statistics won't be left out. The course is designed to set you up for success.

This program has helped me learn more about different areas of data science. Each week is jam-packed but you get a lot of support from the staff and fellow students. The lessons and projects are well structured, clear and informative. I would recommend... Read More this to anyone looking to learn more about data science and its applications.