Great Learning

Highly Recommend who is transitioning career to Data Analytics or simply want to boost in a career, program is self path, class are dynamic, logical and easy to follow. In addition, to the weekend tutoring that summarizes and clarifies questions for week online content. I want also to highlight the great job done by Program Manager who gives a seemless support during the journey. I think the program should explores more SQL and Phynton perhaps extends one week each for more training. Despite this 5 stars Read less

This class was recommended to me by a Forbes article I read. It was the #1 recommendation for a career-boosting certification in AI business application. Great Learning provided a great experience that was not only highly educational, but fun as well. The instructors were incredible and the material is from MIT, regularly considered the best college in the world. I had an amazing instructor, Nandini, who made my experience smooth and comfortable along the way and I would highly recommend this course to anyone looking to boost their resume or just learn more about AI. The Forbes recommendation certainly steered me in the right direction! Read less

 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.  Read less

My experience with Great Learning during the DAE phase has been very positive. The program is well-structured and makes complex topics easy to understand. I’ve gained valuable knowledge, improved my problem-solving skills, and feel more confident applying what I’ve learned. Overall, it’s been a great step in my journey toward a tech career, and I would recommend it to others. Read less

I would like to thank you Great Learning For Making Learning Easier for me .without any Coding Knowledge incould complete this course.Thank you team.meher madam also helped me a lot .Im Extremely happy and thankful for all team working and teaching all things to us andmaking things easy  Read less

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. Read less

As a company owner with no IT background, I found the No Code AI and Machine Learning course very accessible and practical. The content simplifies complex concepts into easy steps, making it possible to quickly understand and apply AI in real business situations.The staff are friendly and highly supportive, always ready to help when needed. Most importantly, the course focuses on practical case studies, allowing me to apply what I learned directly to my business.Overall, it’s a great course for non-technical professionals who want real, immediate value from AI. Read less

I would like to sincerely appreciate the Great Learning coordination team for their outstanding support throughout my journey in the AI for Business Strategy program in collaboration with Johns Hopkins University. The program is exceptionally well-structured and thoughtfully designed for working professionals who aspire to build a strong foundation in AI. What stands out is the phased learning approach, starting from prerequisite concepts and progressively advancing to more complex topics, making it accessible even for those transitioning into AI from non-core backgrounds. The delivery model is highly effective, combining flexibility with academic rigor. The regular quizzes and evaluations ensure participants stay aligned with university standards while still allowing the convenience of learning at one’s own pace. This balance between flexibility and quality is truly commendable. A special mention to the coordination team for their continuous engagement, timely communication, and encouragement, which played a key role in maintaining consistency and motivation throughout the program. I would highly recommend this program to professionals looking to integrate AI into their business and strategic decision-making capabilities. 

Best Regards
Sangaran Nagendran Read less

I have worked in the international oil & gas industry for over 50 years and have become increasingly aware how prevalent AI & Machine learning. As a data science neophyte, I wanted to understand mcuh more of the theoretical background to  ML, AI and neural networks so enrolled on this course. My experience has been very largely positive, in that I have achieved what I set out to do. In my opinion, it is essential that every professional, in whatever discipline, familiarises themseleves in what AI is , what it can do and its limitations. The course itself was well-structured, although some bits were better than others and the introduction of the final project was plagued initially by various teething problems Read less

I come from a non-tech background with over two decades of work experience in finance and treasury, so I was excited to learn about the MIT No Code Machine Learning and Artificial Intelligence course, especially because it was accessible to me as it did not require knowledge of coding or tech.

The course is a carefully thought-through blend of academic theory and practical applications. I found the academic theory very stimulating, deep enough to appreciate the reasoning behind the practical applications and workings of the No Code tools without leaving a feeling of being overwhelmed.

I am very happy I took the course and particularly proud that I finished it. I know it is a defining launch for me into the tech space, as my curiosity has been stimulated and I am inspired to explore more deeply. The curriculum is not only relevant to real-life problems; it is also current, giving access and insights into the latest developments. I greatly look forward to what the future holds for my career advancement. I am immensely grateful to our mentors, program manager, and lecturers, who together provided us with a great learning experience.

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The Post Graduate Program in Generative AI for Business Applications has been a truly valuable and well-structured learning journey. The program offers a great balance of theoretical concepts, real-world case studies, and hands-on projects, which helped me understand how Generative AI can be effectively applied to solve practical business problems.
The curriculum is thoughtfully designed and covers important areas such as Large Language Models (LLMs), AI agents, and Responsible AI. These sessions were particularly insightful and directly relevant to real-world applications. The hands-on projects also provided a great opportunity to apply the concepts in practical scenarios, which made the learning experience even more meaningful.
I also appreciate the efforts of the faculty and mentors who explained complex topics in a very clear and engaging manner. Their guidance made advanced AI concepts easier to understand and helped build both technical knowledge and confidence in designing AI-driven solutions.
Another highlight of the program is the flexibility it offers, which makes it very suitable for working professionals. The support provided throughout the program ensured that the learning process remained smooth and manageable alongside professional responsibilities.
A special thanks to Shikha, Program Manager, for her outstanding support during the entire journey. She was always responsive, professional, and extremely helpful whenever I had questions or needed clarification. Her guidance and coordination played an important role in making the overall learning experience seamless and stress-free.
Overall, this program is an excellent starting point for anyone looking to build practical knowledge in Generative AI and apply it to real business scenarios. I highly recommend it to professionals who want to explore and grow in the rapidly evolving field of AI. Read less

I learned a lot and the projects were very good. The instructors were very knowledgeable and provided real world experiences to the lessons learned. I would recommend this course. I can use the lessons learned and apply them to situations in a work environment.  Read less

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. Read less

 I rarely write reviews, but this one truly deserves it. 

I’m currently enrolled in the PG Program in Generative AI with The University of Texas, and it has genuinely exceeded my expectations. Most online programs I previously tried provide information and a completion certificate. This one provides understanding, real mastery, industry relevance, and a credit-bearing postgraduate-level academic experience. 

The structure is remarkably efficient — what would typically take hours in a university lecture hall is delivered in a focused, clear format that respects your time without sacrificing depth. Unlike many certificate-driven platforms, the emphasis here is on understanding underlying mechanisms rather than just outcomes. That depth translates into real capability — the kind that can be directly applied in industry, discussed confidently with professionals, and leveraged within a strong peer and alumni network. That distinction is transformative. 

One aspect that particularly surprised me was the technical progression. I started the program with no real coding experience in Python. Today, I am able to build functional AI applications with full code — not just low-code tools. While the program offers accessible pathways for managerial profiles who prefer limited coding exposure, choosing the full-code track pushed me further than I ever expected. Having once struggled with programming earlier in my academic journey, I never imagined reaching this level of confidence in Python and AI development. 

The mentoring component adds another layer rarely found even in traditional academic systems: real-world context. Weekly sessions bridge complex theory with industry application in a way that many universities struggle to provide consistently. 

The learning has been immediately applicable. As someone preparing to launch an AI startup, this program provided exactly the clarity and technical foundation I needed. I’m now able to build concepts and working prototypes myself that previously would have required hiring external developers. That shift alone has been transformative. 

It feels less like “completing an online course” and more like being part of a structured academic journey — adapted to how professionals actually learn today and, in many ways, going beyond traditional university formats by actively connecting theory with industry realities and real company-based applications. 

Highly recommended — and my sincere thanks to Great Learning.  Read less

 Wonderful learning experience! I recently completed the No Code AI and Machine Learning: Building Data Science Solutions program by MIT Professional Education, delivered in collaboration with Great Learning. The program offered an excellent mix of high-quality video lectures from MIT faculty and live mentored sessions by industry experts, which made advanced AI and Machine Learning concepts very accessible. I had valuable hands-on experience using tools such as RapidMiner and KNIME, enabling me to build practical data science workflows without writing code. What stood out most was the structured 12-week curriculum, real-world case studies, and industry-relevant projects. The course covered important areas such as Generative AI, machine learning techniques, recommendation systems, prompt engineering, and responsible AI practices. The support from mentors and the learning platform provided by Great Learning made the entire experience smooth, engaging, and highly interactive. Overall, it was a rewarding program that strengthened my understanding of AI and helped me gain practical exposure to building intelligent solutions. Highly recommended for professionals who want to explore AI and data science using a no-code approach.  Read less

I’ve really enjoyed the No Code AI and Machine Learning: Building Data Science Solutions course so far. It makes AI and machine learning approachable, even for professionals who don’t come from a traditional data science background.The course material is well organized and progressively builds from fundamentals to practical implementation. I especially appreciated how we applied concepts directly through projects instead of just learning theory.The hands-on exercises helped me:

• - Understand model evaluation and performance metrics.
• - Think critically about data quality and preprocessing.
• - Apply machine learning to real business-style problems.
• - See how AI can be implemented responsibly and practically.

The instructors did a great job breaking down complex topics into manageable pieces. Their explanations are clear, structured, and focused on practical application rather than abstract theory.Overall, this course provides a strong foundation for professionals who want to bridge the gap between business and AI without needing to become full-time programmers. Read less

I was enrolled in the Applied AI and Data Science program with MIT through Great Learning. My overall experience was great, lots of support and excellent materials.  The program covers Python, data analysis, data visualization, generative AI, and machine learning. The program covers most of the courses needed to start a career in data or learn data science. The only hiccup with the program could be the Zoom sessions held on weekdays during work hours. If you have a job during the week on regular business hours, this could be an issue. If not, please go for it. Read less