Post-Graduate Program in Artificial Intelligence and Machine Learning

I really enjoyed the No-Code AI and Machine Learning course. It made complex concepts feel simple and accessible, even without a technical background. The hands-on approach and practical examples were especially valuable—they helped me understand how to actually apply AI in real-world scenarios, not just learn theory.I also appreciated how the course covered a variety of tools and use cases, giving a clear picture of what’s possible with no-code solutions. It’s empowering to see how quickly you can build and deploy models without deep programming knowledge.

The program provides a strong balance of theory and practical application, making complex concepts easy to understand and apply. It is well‑structured, progressively building skills while reinforcing fundamentals through hands‑on exercises and real‑world examples. I am very happy with the program and would strongly recommend it to professionals at any level looking to strengthen or expand their expertise. I was able to easily understand and learn compex concepts and apply them at work.

 The Great Learning AI/ML Bootcamp offers a well-structured curriculum with a strong balance of theory and hands-on projects. It’s beginner-friendly yet comprehensive enough to build real-world skills in machine learning and data science. The mentorship and industry-relevant case studies add significant value. Overall, it’s a solid choice for transitioning into AI/ML roles. 

Positives:   - Well planned structured curriculum.   - Challenging monthly project for each course to challenge student’s AI modeling and creative skill sets.   - Even if a student is NOT an expert python coder, the course was designed in such a way that if he or she knows how to smartly use Google colob’s built in AI Gemini code generator then he or she will do very well in the coding part of the given projects.Negatives:- Lack of transparency- Full course Syllabus was NOT provided or clearly explained upfront in order to make well informed decision before paying the course fees. Course grading system was also not transparent especially the grading criteria used to grade each project.    - Lack of flexibility- Weekly mandatory quiz due date, monitored mentor learning sessions were occurring at fixed date and time so it is going to be hard for those who are working in a demanding Job.  - Weekly mandatory quizzes and course Projects are bit dated and getting old, time to revise, revamp and rejuvenate.

I’m only about halfway through Great Learning’s Post Graduate Program in AI and Machine Learning: Business Applications but have found the course to be well-paced and a great experience so far. Expectations and time requirements are communicated clearly and the Olympus platform is easy to navigate. The coursework itself is comprehensive and does require due diligence and commitment from the student to stay on top of the graded materials and concepts (especially those with limited prior experience in coding and/or machine learning. The instructors and mentors are excellent and support from the assigned program manager is exceptional. I’d highly recommend for anyone interesting in furthering their education or experience!

As an SDET transitioning to AI/ML, UT Austin’s course on Great Learning was transformative. Its comprehensive curriculum, hands-on projects, and engaging instructors bridge theory and application brilliantly. You’ll gain practical skills in key areas like statistical learning, neural networks, and TensorFlow.The flexible online format and collaborative peer community make learning enjoyable and enriching. I highly recommend this program to experienced tech professionals ready to launch into AI/ML. It provides the knowledge and skills to confidently pursue this exciting field.

Over the past eight months, I have been pursuing this AIML program alongside a demanding full‑time role, dedicating my evenings and weekends to learning. Despite the challenging schedule, this journey has been incredibly rewarding, and I want to express my sincere appreciation to the training team for their consistent support throughout.
The Saturday mentor‑led sessions have been especially impactful. Each session offered clear, thoughtful explanations of the week’s concepts and helped bridge any gaps in my understanding. Whenever I felt uncertain or stuck, these sessions provided the clarity I needed. My mentor’s guidance has played a significant role in strengthening my grasp of the material, and I genuinely looked forward to these weekly interactions.
I would also like to acknowledge the program manager’s exceptional support. She was always mindful of my work commitments and helped me stay aligned with the course schedule whenever tight timelines at work created hurdles. Her encouragement during those challenging periods made a meaningful difference and helped me maintain steady progress throughout the program.
Overall, this experience has been both enriching and motivating. I am grateful for the dedication, flexibility, and support shown by the entire training team, which enabled me to successfully balance my professional responsibilities with this learning journey.

⭐⭐⭐⭐⭐I enrolled in the UT Austin McCombs/Great Learning AI & Machine Learning certificate because I wanted to stay current in a rapidly evolving field—and because I was quoted nearly $70K to build a system I realized I could learn to engineer myself. Even with past experience as a Navy computer network technician, it had been 15 years since I’d touched this level of math, code, or data work.The program delivered exactly what I needed. The seven-month structure kept a strong pace without feeling overwhelming, and the combination of lectures and weekly live sessions made advanced concepts approachable. The mentors were exceptional—hands-on, supportive, and quick to help translate theory into practical application.What stood out most was the program’s value. Compared to other AI offerings, the cost felt reasonable, and the supplemental career tools—resume reviews, career guidance, and skill-building resources—were genuinely useful.By the end, I felt equipped to design and implement real AI/ML workflows: data pipelines, model development, evaluation, deployment strategies, and automation patterns that map directly to industry needs.If you're looking for a comprehensive, practice-driven foundation in AI/ML that prepares you to work with modern tools and build production-aligned systems, this program is absolutely worth it.Highest recommendation.

I had a great learning experience with the AIML course from Great Learning. I found the course curriculum covers most of key concepts, starting from the basics of Python and progressing seamlessly to advanced ALML concepts. The hands-on projects were extremely valuable, helping me gain practical experience and confidence in solving real-world use cases. The sessions were well-planned, even considering holidays, ensuring a consistent and effective learning journey. During my study I had to take a break for few weeks, due to some unavoidable issues, I am glad I got another chance to resume my studies. I found the policies are helpful and I am thankful to program manager Prabhjyot Singh, for his continuous support. He effectively managed the training schedules, ensured timely follow-ups, and was always available to address any queries related to the learning platform and class timings. His coordination made the entire experience smooth and well-organized. 

Before I enrolled in the Post-Graduate Program in Artificial Intelligence and Machine Learning from the University of Texas at Austin, I had zero experience in Artificial Intelligence.  After completing the 7-month program, I now have a solid foundation of knowledge in various AI fields, including Machine Learning, Neural Networks, Natural Language Processing, and Computer Vision.  The program has opened a broad range of career opportunities that I can pursue.  The program is fast-paced, very comprehensive, and worth every penny!  In addition to the breadth of knowledge, learners who complete the program receive a certificate from the University of Texas at Austin. Many thanks to the Great Learning program managers, mentors, and the entire Great Learning team who have helped every step of the way!  I am glad I enrolled, and I am looking forward to an exciting new career in AI.

I received a great dr of knowledge and real world examples. The instructors were very intelligent, and the advisors were accommodating and helpful. I appreciate the support offered during office hours and I have gained skills that already help me in my work. 

I recently completed the Post Graduate Program in Artificial Intelligence & Machine Learning: Business Applications, and I’m very impressed by the overall value, structure, and support provided. From the outset, the curriculum struck a judicious balance between theory, practical coding exercises, and business application case studies. We moved systematically from foundational content (Python, statistics, machine learning algorithms) to advanced topics (deep learning, NLP, model deployment, productionizing ML in business contexts). The unit on real-world business applications of AI—linking algorithmic work to business KPIs—was robust.Beyond the curriculum, what truly set the experience apart was the exceptional involvement of the Program Manager, Aditya Menon. Aditya was consistently responsive: whenever I had questions—from assignment clarifications, project milestone planning, or time-management concerns—he was available and approachable. It wasn’t just “office hours” support either: he welcomed messages outside standard hours, scheduled check-ins when needed, and proactively followed up to ensure no one got stuck. His positive, encouraging demeanor made a real difference: learners felt supported, seen, and able to press ahead even during challenging modules.It gives me confidence to state that this program is not just about acquiring AI/ML technical skills — it is about being guided through the journey, with real accountability and human support baked into it. If you are looking for an AI/ML up-skilling path that combines rigorous technical content with genuine, accessible mentorship and program coordination, then this one is a top choice.My sincere thanks to Aditya for his dedication and to the entire team for delivering such an intense learning experience.

I am about to complete  the Artificial Intelligence and Machine Learning Certificate Program from the University of Texas at Austin (McCombs School of Business) in collaboration with Great Learning — and it’s been an incredible experience!I found the content approachable, well-structured, and highly engaging. The combination of clear lectures, weekly live sessions, and outstanding mentor support made even complex topics easier to grasp.The 7-month timeline is ideal, the program cost was reasonable, and the added career resources like résumé reviews and guidance are a big plus.I’m finishing the program feeling confident and excited to apply AI/ML concepts in real-world contexts. Highly recommend this course to anyone looking to build a strong foundation in AI — regardless of where you’re starting from!

Highly recommended PG course to enroll your self , enrolling in Great Learning's AI & Machine Learning program was the best career decision I've made. The curriculum is well structured and brilliant super modern and focused entirely on hands-on, real-world projects. You don't just learn theory you learn how to actually build and deploy. Gained so much confidence!
A massive shout-out to my Learning Co-ordinator, Harveen! She was a lifesaver. Harveen was always proactive, incredibly organized, and responsive to every question. Her personalized support truly made all the difference in navigating the intensity of the course.
Highly recommend Great Learning. You'll get top-tier training and the best team backing you up!

My experience at Great Learning was extremely positive on all relevant fronts.
In terms of the educational content, there is much to highlight. Key concepts were often presented in a pedagogically sound and impressive manner during the lectures. While there can be a substantial amount of material to cover in each course, this also means you can get a great deal out of it if you make a genuine effort to review the content carefully. Thankfully, the lectures themselves were often just the right length--long enough to teach something meaningful but short enough to hold your attention. As a result, it was possible to make real progress in learning each day, even with limited time.
Beyond the lectures, the guided live sessions were very valuable. They typically included a “theoretical” review of the week’s content, followed by a more “hands-on” portion where the instructor demonstrated practical applications of the concepts in action- something especially important in AI/ML and useful for carrying out the assigned projects. The live sessions generally ran closer to two and a half hours than two, but both parts (the theoretical and the practical) were important and worthwhile. Student questions and participation also showed strong engagement with the material. I was also fortunate to have an excellent instructor who was deeply committed to ensuring that students truly understood the material before moving on to more advanced topics. He even often shared stories from his professional experience about how he approached related challenges in his work, which I found both interesting and enlightening.
Regarding assessments, there were two main components: a series of weekly quizzes and a final project for each course or module. The quizzes were fair and fit well within a typically busy schedule. Their flexible completion windows (rather than fixed times) were especially convenient. The projects, however, were where I learned the most. They helped bring everything together, and after completing several of them, I began to develop a clear sense of what real AI/ML work involves, e.g., how projects are structured, which packages are relevant for specific tasks, how long different steps might take, and so on. In the end, these projects can serve as excellent portfolio pieces that demonstrate the skills you’ve developed throughout the program. The feedback I received on my projects was also constructive, helpful, and typically delivered quickly.
Although of lesser importance, the general user interface, community forums, leaderboards, and other platform features also contributed positively to the overall learning/social experience. Things seemed well-designed and intuitive overall, as well as conducive to maintaining or increasing one’s motivation levels throughout the program.
Finally, on the administrative side, Great Learning truly stood out for me, so a few words are in order. I was assigned a program manager, Usha, who was incredibly helpful from the start- creating the right atmosphere and setting one up for success right from the get-go. She is someone who was very accessible and supportive throughout the program. Indeed, at one point, I encountered a serious issue submitting a project worth over half my grade, and it was something I had worked very hard on. In similar situations elsewhere, I have experienced slow responses and limited support, which essentially only led to frustration. However, Usha handled the matter quickly and effectively, and that showed me just how much of a difference a great program manager can make. Her patience, understanding, and impressive dedication allowed me to submit the project successfully in the end, something I remain deeply grateful for. Her combination of professionalism and commitment really served to make my experience at Great Learning an especially memorable one and I have no doubt she was a key factor in my success throughout the program. Anyone who has Usha as a program manager in the future should consider themselves fortunate, as they will have someone genuinely dedicated to their success.
 

Course Review: University of Texas McCombs School of Business/Great Learning AI and Machine Learning Certificateam currently a student in the University of Texas McCombs School of Business/Great Learning certificate program in artificial intelligence and machine learning, and I can confidently say was. an outstanding experience so far! As someone with a prior programming background, I was seeking a program to deepen my expertise in AI and ML to advance my career. This program stood out due to its reasonable cost compared to other AI courses, its well-paced 7-month duration, and the inclusion of valuable career support tools like resume reviews and career guidance.The program exceeded my expectations in every way. The curriculum was thoughtfully designed, blending theoretical concepts with practical applications, which allowed me to build on my existing programming knowledge effectively. The lectures were clear and engaging, and the weekly live sessions were incredibly helpful in clarifying complex topics. A special shout-out goes to Harveen Kauer, the program manager, whose exceptional dedication and organizational skills ensured a seamless learning experience. Harveen's support was instrumental in keeping us motivated and on track, and her efforts truly deserve recognition for contributing to the program's success.The mentors were approachable, knowledgeable, and always willing to go the extra mile to ensure I fully grasped the material. By the end of the program, I felt well-equipped to apply my enhanced AI and ML skills in a professional setting, ready to tackle the evolving demands of the field. I wholeheartedly recommend this program to anyone looking to advance their career in AI and ML, and I’m grateful for Harveen Kauer’s leadership in making this such a rewarding journey!

As a software engineer frequently working with AI integrations, I joined the Post-Graduate AI/ML program at Great Learning to better understand how these tools are built at the core — not just how to use them. My goal was to move beyond relying on third-party services and start building smarter, more customized solutions myself.So far, the program has been insightful. I now have a clearer understanding of the foundational concepts behind AI tools, which is exactly what I was looking for. The content is solid and well-structured, and the support from the program manager, Harveen, has been excellent. She’s responsive, encouraging, and helps keep the program running smoothly.One challenge is the intensity of the content relative to the time available — especially for working professionals like myself. Balancing work and study requires real commitment. Some parts could also benefit from more updated content reflecting the latest developments in AI.Overall, it’s a valuable program if you’re looking to deepen your AI knowledge and move beyond just using pre-built tools.

I'm wrapping up the University of Texas McCombs School of Business/Great Learning certificate program in artificial intelligence and machine learning, and had a fantastic experience with this program! I went looking for an AI certificate program in the midst of a career pivot, with no prior computer science experience or intensive math experience since high school many years ago. I was attracted to this program because it wasn't as expensive as AI programs offered by other schools, because the 7-month timeline felt like a good balance between providing enough time to cover the material without having to wait too long for completion, and because it offered some career resource tools like career guidance and resume reviews. This program delivered! The learning curve was steep at the beginning as can be expected, but I found that the lectures and weekly live sessions did a great job at making the material understandable-- even without recent computer science or math experience. My live session mentor and program mentor were very friendly and eager to help, and really went out of their way to make sure I felt comfortable with the material. Now that it's wrapped up, I feel confident making the pivot into the AI/ML field, even as it continues to evolve. I would definitely recommend this program!

The course is well taught and with good mentors and program managers who encourages and supports in the learning journey. What went good?I appreciate the for thoughtful guidance and encouragement from program manager Harveen through out my learning journey until now. Thank you very much for all effort you put in.What can be better?I feel the course syllabus or content is pretty old dated, the timelines are tight to make us feel that the course is taught at a good pace and curriculum is rigorous, I understood this when I came out of the busy schedule of the program. But I personally feel, latest concepts in AIML are not being taught and still feel like lagging behind, I understand that they were not part of the curriculum. AIML is not my primary skill area, so I may sound odd.

 I enrolled in the Post Graduate Program in Artificial Intelligence & Machine Learning (Great Learning) and my experience has been overwhelmingly positive — both in terms of learning and personal support. Because of an ongoing medical condition, I had to withdraw from the course on three separate occasions. Each time, the Great Learning team met me with empathy, understanding, and flexibility. They allowed me to rejoin the course without friction. That kind of human-first approach — treating learners as people, not just students — is rare. I deeply appreciate how they supported me through difficult times without judgment or pressure.