Great Learning

This has been an excellent  course. Very well planned out. I have a demanding corporate job but the way the course is structured it allows me to do  both. My understanding of AI and machine learning has come so  far since I started this course. Highly recommend and it’s worth the money  Read less

The Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications at The University of Texas at Austin has been a game-changer for me. Coming from an economics and data analytics background, I wanted a program that could bridge the gap between my existing skill set and the cutting-edge AI/ML techniques used in real-world business scenarios. This program delivered exactly that—combining strong theoretical foundations with hands-on projects and practical applications.One of the most impressive aspects of the program is its well-structured and spaced-out curriculum. The pacing allowed me to grasp complex concepts without feeling overwhelmed, making it perfect for professionals looking to upskill while managing other commitments. The balance between data manipulation, statistical analysis, machine learning, and neural networks ensured that I walked away with a holistic understanding of AI-driven decision-making.The interactive learning experience made the program truly enjoyable. From real-world case studies to collaborative projects, I was able to apply my learnings in meaningful ways. The instructors were industry experts, bringing invaluable insights from their professional experiences. The hands-on coding assignments helped solidify key concepts, and the exposure to feature engineering, hyperparameter tuning, and optimization techniques was particularly beneficial.Beyond the technical skills, the program also focused on the business impact of AI/ML, teaching us how to derive insights that drive decision-making. The mix of theory and practice has equipped me with the confidence to tackle AI/ML challenges in real-world business settings.Overall, this program was not just educational but engaging, practical, and incredibly rewarding. If you’re looking for a transformative experience that balances technical depth with business applications in a well-paced and enjoyable format, I highly recommend it! Read less

Embarking on this course in Artificial Intelligence and Machine Leraning has been nothing short of transformative. From the very beginning, the attention to detail and structured guidance provided by my Program Advisor, Tania, set the stage for a seamless and enriching learning experience. Her continued responsiveness and unwavering support has ensured that I remain both motivated and on track. What truly sets this faculty apart is its winning strategy—humanizing online learning. Striking the delicate balance between academic rigor and genuine engagement, the faculty has mastered the art of making virtual education feel personal. The tutors don’t just teach; they connect, and challenge students in ways that transcend the limitations of a digital space.The thoughtfully designed course materials, interactive discussions, and real-world applications have ensured that learning isn’t just theoretical but deeply relatable. It’s rare to find an online program that truly gets through to students, effortlessly.This is my second course with Great Learning, and I remain inspired by their commitment to the redefinition of online education, proving that when pedagogy is infused with care and strategy, the results are pure magic!  Read less

I couldn't be more impressed with the quality of the course. From the very beginning, the instructors were highly knowledgeable, approachable, and dedicated to helping every student succeed. The curriculum was comprehensive and well-structured, covering both fundamental and advanced concepts in artificial intelligence and machine learning. Read less

Initially I was skeptical with the online format as I have never been to a online classroom, but I must say the program was very well managed by Great Learning. They have great mentors who are very well  experienced, and the breadth and the depth of the course was also well planned and executed. They ensured hands-on of the case concepts through projects and assignments.. Overall great experience!!  Read less

Enrolling in the Postgraduate Program in Artificial Intelligence & Machine Learning with Great Learning has been an enriching and transformative experience. From the structured curriculum to the expert faculty and hands-on learning approach, this program has exceeded my expectations.One of the standout aspects of this course is its well-balanced blend of theory and practical application. The learning modules are designed to provide a strong foundation in AI and ML, covering essential concepts such as supervised and unsupervised learning, deep learning, NLP, and advanced ML techniques. The capstone projects and real-world case studies helped solidify my understanding and allowed me to apply my skills in practical scenarios.The faculty and mentorship provided throughout the program have been invaluable. The instructors are industry experts who bring deep technical knowledge and insights, while the mentorship sessions offer personalized guidance, ensuring clarity on complex topics.Additionally, the support from the program management team, particularly Tania, has made the learning experience seamless. The team is highly responsive and ensures a smooth journey from enrollment to completion.Overall, this program is an excellent choice for professionals looking to upskill in AI & ML with a structured, industry-aligned approach. I highly recommend it! Read less

The Post Graduate Program in Artificial Intelligence and Machine Learning (PGP-AIML) at the University of Texas at Austin, McCombs School of Business & Great Learning has been a rigorous and rewarding learning experience. The program is structured to progressively build expertise in AI and ML, starting from fundamental concepts and advancing to complex deep learning applications.

Curriculum Structure and Workload

The course begins with statistics, linear algebra, and essential machine learning concepts, ensuring a solid mathematical foundation. Early assignments focus on data preprocessing, exploratory data analysis, and implementing classical ML algorithms using Pandas, NumPy, and Scikit-learn.

From the outset, the workload is demanding: weekly assignments, quizzes, and projects push students to not only understand the material but also apply it effectively. One of the defining aspects of this program is its strict evaluation system—if an assignment is not done with precision, points are deducted, affecting the final grade. This approach encourages students to submit high-quality work from the start.

Progressing to Advanced Topics and Deep Learning

As the program progresses, the focus shifts to advanced machine learning techniques and deep learning. Topics include neural networks, natural language processing (NLP), computer vision, and reinforcement learning, with hands-on implementation in TensorFlow and PyTorch. Key concepts like Batch Normalization, Dropout, Hyperparameter Tuning, and Transfer Learning are covered in-depth.

Projects at this stage require working with real-world datasets, handling class imbalances, feature engineering, and building end-to-end AI pipelines. The grading for these projects is particularly strict, evaluating not just correctness but also code quality, model optimization, and analytical depth.

Role of Tests in Learning

Beyond projects, frequent assessments and quizzes play a crucial role in reinforcing concepts. These tests challenge students to perform manual calculations, analyze errors, and understand the limitations of various models, ensuring a strong grasp of both theoretical and practical aspects.

Final Thoughts

The PGP-AIML program at UT Austin, McCombs School of Business & Great Learning provides a comprehensive and industry-relevant AI/ML education. Its key strengths include:

A well-structured curriculum combining theory and hands-on practice

Strict grading policies that emphasize high-quality submissions

Regular quizzes and assessments to solidify learning

A structured progression from basic ML to deep learning and AI applications

Exposure to real-world data and projects that align with industry standards


For those aiming to build a strong foundation in AI/ML and apply it in real-world scenarios, this program delivers a challenging yet invaluable learning experience. The high academic standards ensure that students develop both technical expertise and problem-solving skills essential for a career in AI and ML. Read less

Poor and inconsistent administration of the program with technically poor software platform. 
I had suspended the program after mostly completing it. Was offered to resume at no cost. However only way to resume was to schedule a phone call at very early morning hours weeks later. Series of missteps and broken platform, they were unable to give me working access for 3 months. 
I had been told no deadline only to discover they again suspended my access. I email to inquire and am told I have to schedule a call again weeks later and will not cost $500. 
Awful frustrating experience with no real support. It’s a different person every time. Nothing in writing only false promises via phone call.  Read less

I'm deeply grateful for the incredible learning experience I had in the AIML program! 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 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!

Best Regards,

Ganiyu Read less

Flexible course offerings allow students to acquire an artificial intelligence and machine learning degree entirely online, providing them more time to focus on other duties. Designing and developing AI models using Python is regular in an online master's program in artificial intelligence, and it has helped learn new ways to develop bots and handle data. Machine learning's primary benefit is automation, which saves time and money while preserving product and service quality. Some of the most essential machine learning applications will aid in the resolution of real-time challenges in my company. Read less

My experience undertaking a postgraduate programme in Artificial Intelligence and Machine Learning at The University of Texas, Austin, was a decision I was really happy I made. It exposed me to the relevant tools I needed to make the transition into the field of AI/ML from my formal training as a chemical engineer. I am very optimistic about this choice and have already applied some of the knowledge I acquired to help solve a problem at work for a colleague. They have an excellent faculty and the programme managers are very professional in their roles. The programme manager assigned to me ensured I stayed on track with my studies despite the various deliverables I had to meet at work. I would recommend this programme to anyone looking to make a career shift into AI/ML.  Read less

I would highly recommend this course for those who have had at least some idea or minimal experience in programming in any language, as it will make the learning process significantly easier and more enjoyable. Those without any prior experience in programming will still be able to succeed, but they may need to invest more effort to fully benefit from the course’s offerings. The material, particularly the well-structured videos, is quite comprehensive and engaging. The trainers appear to be highly experienced, not only in teaching but also with practical industry knowledge, which adds real-world value to the lessons. If you feel one of the trainers isn’t meeting expectations, the program managers are proactive and ensure they assign someone capable of delivering up to the task. The portal is user-friendly and quite good, allowing easy access to course contents and opportunities to test your learnings through interactive quizzes. The assignment projects are very interesting, offering flexibility by allowing the student to choose between a low-code or full-code approach based on their comfort level. In general, the teaching methodology applied ensures steady progress every week, fostering a deep understanding of the concepts and techniques required to master AI/ML applied to business use cases. So far, I am very happy with my experience in the program and would recommend it to anyone seeking a solid understanding of Machine Learning and Artificial Intelligence. Read less

Best program for learning more in depth the techniques of machine learning and data science. The video courses are very good and we have every week an online session with an instructor for queries. The teachers and the program manager are great and the support is on another level, definitely recommend. Read less

The course is very well structured. Specifically for those who do not have background in AI/ML it gives good understanding of the topics.
Every week you need to go through self-paced video lectures and there are quiz after every video to check your understanding. 
The weekly mentored sessions are a big help and clears up all the doubts that you have during self-study. Thanks to Mentor Nirupam Sharma.
The course itself is quite challenging/demanding if you are working professional as u need to dedicate almost 1-2 hours daily to have good hands on understanding about the course. 
 Special thanks to Tania for being a supportive program coordinator and catering to all my last minute requests and reminding me to stay on track.
This program is a good investment and is a stepping stone to the world of AL & ML.  Read less

I am extremely pleased with the AI and ML postgraduate program. The course is well-structured, comprehensive, and highly relevant to my career. The projects are thoughtfully designed, allowing me to thoroughly understand the concepts and apply them effectively in real-world scenarios.


A special mention to my program manager, Tanya, who has been incredibly supportive and responsive throughout my journey. Although I hardly faced any challenges, she was always available to address any concerns and ensure a smooth learning experience. The weekly mentor learning sessions have also been particularly valuable, providing clarity and reinforcing key concepts.


Overall, I am glad to have joined this program, and I’m confident that it will greatly benefit my career. It has been a fantastic learning experience, and I highly recommend it to anyone looking to build expertise in AI and ML!


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My journey into Artificial Intelligence and Machine Learning began with a desire to enhance my analytical skills for a business analyst role, a career path I'm truly passionate about. In my current position, strategic decision-making and global business reporting demand robust analytical capabilities, and I knew this postgraduate program was the key.As a newcomer to programming, I initially faced challenges, particularly in balancing my demanding work schedule with the course requirements. However, the program team's unwavering support made all the difference. They consistently accommodated my needs, offering personalized assistance and flexibility. When I needed to pause the course due to work commitments, they seamlessly facilitated my transition to a new cohort, demonstrating remarkable understanding and support.The program coordinator's accessibility and empathy were exceptional. They were always reachable, providing guidance and making it easy to navigate any obstacles. The comprehensive online materials and engaging weekend bootcamp sessions, where we could clarify doubts in live sessions, significantly contributed to my learning. The projects provided invaluable real-world scenarios, transforming theoretical knowledge into practical skills.This program has not only equipped me with the technical skills I needed but also fostered a supportive learning environment that empowered me to succeed. I highly recommend it to anyone seeking a comprehensive and practical education in AI and Machine Learning Read less

The "Applied Data Science Program: Leveraging AI for Effective Decision-Making" course offered by MIT Professional Education in collaboration with Great Learning was a robust and immersive learning experience. It provided me in-depth theoretical knowledge and project experiences.

The course was well structured for both coders and non-coders. Its live virtual classes with MIT professors and weekend mentor learning sessions were very informational and interactive. The faculties were very interactive and helped with every question I had. The pop-up quizzes in mentor learning sessions were very interesting and it helped to think all the scenarios around the topic.

The Olympus platform was very easy to use. It made the access to all the course materials seamless. The detailed recorded sessions were very helpful as well with pop-quizzes. The guided practice projects provided a lot of insight into how to prepare and follow a project path.

Finally, the coordinator of my program was very helpful and prompt with all my queries. All the details about the course was communicated timely and explained clearly.


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I took the PGP-AIML (Post Graduate Program in Artificial Intelligence and Machine Learning) in Fall 2024 and had a very positive learning experience. The program is well-designed for individuals without a computer science or technical background who want a comprehensive introduction to machine learning models, neural networks, computer vision, and natural language processing, particularly for business and financial applications.The curriculum was structured to provide a solid understanding of various ML and DL models used for classification tasks, along with the necessary statistical and programming concepts to grasp their applications effectively. The weekly learning materials and projects were challenging yet manageable, requiring about 15 hours per week—making it accessible even for those with no prior experience in the field.The instructors and course management were excellent, providing clear guidance and support throughout the program. Additionally, each participant was assigned a program manager (Debanwee Ghosh, in my case), who offered invaluable guidance, making the learning process smoother and more enjoyable.Overall, I believe this program offers one of the best introductions to machine learning for business applications (and beyond). It is well-structured, includes real-life examples, is relatively easy to follow, and is reasonably priced. Read less

This course has a lot of interesting and insightful information and includes concepts in Machine Learning, Neural Networks, Deep Learning, Data Science, Statistics, Data Analysis and Visualization, Python and AI. I got a lot of useful knowledge from this course. 

However, It was very challenging and extremely time consuming. So it’s important to come up with efficient time management and study strategies, specially if you are also working full time. The MIT professors were amazing and answered all of my questions on these very complex topics.

 The course says it’s only 3 months but it was actually nearly 5 months to complete. My cohort started in November, but the class did not graduate from the course officially until March. Despite the longer time, there was so much content to go through in this course that 5 months is still not enough to get through everything else that they offer in this course including additional bonus courses integrated within the program student portal on Olympus.

 Having said that, Great Learning does try hard to make your money’s worth. Mentors were very knowledgeable and true experts in their field. I am very happy with the responsiveness and eagerness to help from MIT staff and the Great Learning team.   Read less

I am currently enrolled in the Machine Learning and AI program with Great Learning, and the experience so far has been Great! The course is well-structured, covering both fundamentals and advanced topics in machine learning, deep learning, NLP, and AI. The content is delivered in a way that makes complex concepts easy to grasp, even for those new to the field.

The mentorship sessions and hands-on projects have been particularly valuable, allowing me to apply what I learn in real-world scenarios. The instructors and mentors are highly knowledgeable and always supportive, ensuring that students get the best learning experience.

I’m excited to continue my journey in this program and look forward to gaining even more expertise in AI and ML.

I highly recommend Great Learning to anyone looking to build a strong foundation in this field! Read less