Great Learning

This course was an excellent learning experience which provided me with valuable insights into AI/ML concepts and no-code tools. The course’s hands-on projects were challenging and engaging, providing me with practical examples to apply the concepts covered. The projects reinforced my understanding and gave me the confidence to work with AI/ML in real-world scenarios.
The Great Learning platform was well organized and easy to navigate, allowing me to focus on the course content. The program support was impressive as well. Their timely and helpful guidance enhanced my overall experience. The combination of a user-friendly platform and responsive support made the process enjoyable.
The course structure was well-designed, with a progression that built on foundational concepts. Each module connected together well, making complex topics easier to understand and apply. This structured approach ensured that the learning experience was both challenging but also manageable.

My primary goals for taking this course were to gain practical experience in applying AI and Machine Learning to business contexts and to develop a more informed vocabulary for discussing these topics with colleagues. This course effectively met both objectives, leaving me better equipped to engage with AI/ML initiatives in my professional environment.
I highly recommend this course to anyone interested in AI/ML with or without a technical background. Great Learning exceeded my expectations, and I look forward to exploring more courses through this platform. Read less

I'm thrilled to share my experience with the AI and Machine Learning certification program offered by Great Learning in partnership with UT Austin's McCombs School of Business. Coming from a marketing background with zero coding experience, I was initially intimidated, but this program proved that with dedication, anyone can master these skills. From the start in May to completion in January, this program has exceeded my expectations with its comprehensive curriculum and real-world business applications. The instructors, all top experts in their fields, deliver complex concepts with clarity and provide invaluable insights from their industry experience.

While the program demands significant time commitment and self-discipline, the investment pays remarkable dividends in knowledge and skill development. Through consistent effort and determination, I'm proud to be graduating in the top 10 of my 60-person cohort with a 4.26 GPA – proof that even complete beginners can excel in this field. Each module builds systematically on previous concepts, creating a solid foundation in AI and machine learning principles. The focus on practical business applications and assignment of usable projects to start your e-Portfolio of work sets this program apart, ensuring that students can immediately apply their learning in professional settings.

As I approach the finish line, I'm amazed at the breadth and depth of knowledge I've gained. This certification has positioned me at the forefront of one of technology's most dynamic and fastest-growing fields. For professionals looking to evolve their careers in AI and machine learning, regardless of their background, this program offers an exceptional pathway to success, backed by the prestigious reputation of UT Austin's McCombs School of Business. Read less

The MIT course No Code AI and Machine Learning: Building Data Science Solutions has been a great experience. The course is well organized, structured, and taught by impressive faculty from MIT and field experts. Learning material, mentored lectures and discussion groups, and hands-on projects are excellent. Learning in a supportive environment with personalized assistance from an assigned program manager is a plus. Special thanks to my program manager, Mehak Gupta, for her valuable support throughout the program.
This course offers real-world business insights into building and applying different machine learning models and leveraging ML and AI in data-based problem-solving. I particularly enjoyed the modules on deep learning and neural networks as applied to complex datasets, as well as learning more about generative AI and all case study hands-on and business interpretation projects. I recommend this course to enhance your knowledge about data science solutions and how to implement ML models in business and academic problems. 



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Just completed the No Code AI and Machine Learning course, and the six-month investment was worth it. As someone who works with AI tool tuning at Google, I took this course to advance my career and better understand my daily work. The knowledge gained has been valuable both for my new business venture and for explaining my role more clearly - especially important given how complex emerging AI positions can be to describe.What I found most valuable was deepening my understanding of statistics in AI and prompt engineering. These seemingly straightforward concepts revealed significant practical benefits when studied comprehensively. If you're considering signing up for any GreatLearning courses, choose a track that aligns with your goals and commit to it. While the course can be challenging, the program administrators are very supportive and flexible! Overall, it's been instrumental in deepening my understanding of AI applications in business contexts. Read less

5 🌟. I attended the MIT course "No Code AI and Machine Learning: Building Data Science Solutions by MIT Professional Education - Digital Plus Programs" through Great Learning, and it was exceptional. The course was well-structured, and the personalized mentorship and dedicated program support helped me manage it alongside my full-time work and travel schedule by breaking it down into manageable bite-sized pieces. Special mention to Madhur Bhanot, my program manager, who was always available to assist me regardless of time zone. Additionally, the course content was comprehensive and engaging, making complex concepts accessible and easy to grasp. The interactive learning experience and practical applications provided a thorough understanding of the subject matter.  Read less

This program employs a superb teaching style. It is a great program if you want to upskill and become more effective in research or industry. The learning curve is not too steep for those with a background in Math, Engineering, Bioinformatics, Epidemiology, or Statistics. 
Please continue the good work. Read less

The Data Science and ML from Great Learning and MIT IDSS is a 12-week program is intense and covers both theoretical as well as practical aspects. The training course materials and hands-on projects gave me greater insights into how to use the libraries and models. In particular, the course content on deep learning, CNN, and recommender systems has equipped me with the skills to leverage these advanced methodologies to enhance my analytical capabilities. The course is practical, engaging and provides data-driven insights into this complex topic. 
I would recommend this to anyone looking to upskill in Data Science & Machine Learning.= Read less

 The MIT No Code AI & ML Program with Great Learning has been a fantastic experience. The course is super interesting, and the content feels really up-to-date and relevant, especially for my work in Marketing Analytics and AI Innovation. From day one, the learning team has been incredibly supportive—they made sure we had access to the platform and answered any questions quickly.The way the content is organized makes it easy to follow. It’s broken into bite-sized modules, so it doesn’t feel overwhelming. Plus, the quizzes and assessments along the way help reinforce the material and make self-paced learning a breeze.On weekends, we get to learn from an industry instructor who goes over all the concepts and walks us through a case study. This part really brings everything together and helps connect the dots. The hands-on projects have been especially valuable—they give you a real sense of how to apply what you’re learning to real-world situations.For me, this course has been a game-changer. I’ve sharpened my skills in data modeling, AI, and data-driven decision-making. It’s made me much more confident in collaborating with our Data Science team and working with AI tools because I understand how things actually work now.If you’re looking to level up your knowledge in data science, AI, and ML without getting bogged down by coding, I highly recommend this program. It’s practical, engaging, and totally worth it.  Read less

The courses are well thought out. The focus is on applying open source tools to create machine learning and artificial intelligence models.
That is not to say that the course doesn’t go in-depth into how the models work and what to look for when training models. The course does go into that with some detail. This helps avoiding the “black-box” pitfalls so many of us have fallen into using tools without understanding how they work under the hood.
The syllabus as well as the content is maintained regularly, all videos I watched made references to pretty recent stuff.

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Participating in this intensive training on AI and ML applications has been the best experience. As someone who leads a data capture and analysis function in the agricultural research field, I am convinced that our success partly hinges on our ability to derive insight and actionable strategies from data in a comprehensive and timely manner. This training, coupled with hands-on projects, has allowed me to navigate opportunities to answer existing and emerging questions. In particular, the course content on deep learning, computer vision, and neural network models has equipped me with the skills to leverage these advanced methodologies to enhance our analytical capabilities. By applying computer vision techniques, I can now process and interpret complex visual data, which is invaluable for tasks such as phenotyping and yield prediction. The knowledge gained from this training has helped me strategize our efforts towards a more streamlined analysis pipeline and nuanced understanding of complex data. I highly recommend this training to anyone looking to deepen their understanding of AI and ML applications, especially in fields where data-driven insights are crucial for success.
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The GreatLearning course was a short but intense 12 week programme that gives a detailed training on the theoretical and practical aspects of Data Science and Machine Learning. They have a great platform and a supportive administrative team that gives that social push to get going. I've enjoyed learning from the great and inspiring faculty from MIT along with the industry mentors. I would recommend them to anyone looking to upskill quickly in Data Science & Machine Learning in a short time. Read less

I can honestly say that the MIT IDSS Data Science and Machine Learning course through Great Learning was one of the best educational experiences I’ve had. I started with a basic understanding of data science, but through the course, I gained real confidence in handling complex topics like machine learning algorithms, predictive modelling, and making data-driven decisions.
The course is impressively structured, and each week introduces new concepts that build on one another. There’s a great balance between theory and practice, which keeps things interesting and engaging. What really stands out are the projects: beyond just a capstone, the program includes three extensive practical projects and numerous practice assignments to reinforce each concept. These projects made learning feel hands-on, allowing me to apply what I was learning to real-world scenarios.
The mentorship sessions were a highlight for me. Having access to industry experts who were always open to questions and willing to give personalized feedback was incredibly helpful. They guided us through challenging areas and provided insights on how the material connects to industry practices. The mentors were not only knowledgeable but also genuinely supportive, which kept me motivated every step of the way.
I’d highly recommend this course to anyone serious about getting into data science. It’s not just about learning technical skills; it’s about building practical, applicable knowledge and feeling prepared to tackle real-world challenges. Great Learning’s team was also fantastic with support, always there to help with any questions or issues. Overall, this course is a perfect combination of depth, rigor, and hands-on experience. Read less

The course takes 12 weeks and includes 6 courses, which are obligatory to be completed. Coursed include python and statistics, data and visualization, machine learning , deep learning and recommendation system. The lectures are lead by MIT instructors. Mentor sessions augment lectures by detailed hand-on seminars. The course is concluded by Capstone project. Throughout the course you are supported by mentors for training and office for admin issues. You also can talk with industry experts from the field for career advise and resume review. This is a great course to get knowledge and experience, do networking and get access to some exclusive resources. Read less

From the moment I contacted them, all the way to the end of the course, the people at Great Learning have been extremely..

1. Clear about the course details
2. Communicative regarding anything related to courses
3. Helpful when I had questions, and they answered them very quickly
4. Kind and empathic when I had difficulties.

First, I completed the MIT Applied Data Science certification course.  The ADSP was quite a challenge, and I worked very very hard to complete it.  I felt really confident in what I learned.  Immediately after that, I noticed that there was another Data Science certification course with MIT.  After speaking with my Program Advisor at Great Learning, I felt that taking this course would greatly benefit me to really solidify what I learned.  The course has some similar content with ADSP, but this course was through the MIT Institute for Data, Systems, and Society (IDSS).  I knew that the course would be just as great as ADSP, so I decided to go for it, and I'm really glad that I did.  I have just completed the MIT-IDSS Machine Learning and Data Science certification course!  
Both courses had the best of professors from MIT teaching us and the content was superb.  Also, the mentored learning sessions on the weekends were so valuable to really solidify the course material from that week.  The Great Learning Mentors were absolutely amazing.  Really knowledgeable, with real-world experience, and very skilled at teaching.  If you didn't understand something, you could send them a chat (during the session) and they would answer the question right then. 

And...I signed up for yet another Great Learning certification course - Microsoft AI Professional Program, and I'm really excited to start that one soon.

I've had a tremendous experience with Great Learning and I highly recommend taking courses through them.  They are organized, professional, and have everything covered for you.

eta:  By the way, Great Learning DOES provide Job Assistance.  I just haven't used it, yet. Read less

This AI course is fantastic! It introduces code-free AI tools, it is perfect for busy professionals. The course structure is very flexible, with top-quality content and support materials, and the team behind it is always available to assist you. The learning platform is excellent, enabling you to study on your own schedule and revisit resources anytime. Highly recommended for anyone looking to gain AI skills without coding!



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The program stands out for its practical approach, making advanced AI concepts accessible to non-technical professionals. It focuses on business applications, enabling participants to immediately apply their knowledge in organizational contexts. While the fee is significant, the course offers valuable skills, networking opportunities, and an MIT certificate, making it a worthwhile investment for career advancement in AI. Read less

This program has been an invaluable experience. The structured approach made complex AI and machine learning topics not only understandable but highly engaging. The live sessions and Masterclass provided practical insights and were instrumental in deepening my understanding, bridging the gap between theory and real-world application. Thanks to this program, I’m more excited about AI and ML than ever and even considering a career transition into this field. As a Software Engineer, I’m eager to apply these new skills, integrating AI and ML tools to make a meaningful impact on future projects. Highly recommended for anyone looking to broaden their skills in this evolving field! Read less

The PG Program in AI and ML: Business Applications course offered by UT-Austin is a well-rounded program offering the right amount of breadth and depth in treatment of AI-ML in this fast-paced curriculum! I was impressed with the course videos that offered the right measure of lecture content, aided by the refresher quizzes and practice projects that provided comprehensive learning to successfully take on the graded quizzes and project work at the end of each module! The mentored sessions gave the live classroom experience of students to lean and interact with industry professionals who are experienced active practitioners of AI-ML.I would leave with an enriching experience after completing each module and looking forward to even more! The program manager (Bhashi for my cohort) has been a veritable guiding force in ensuring smooth conduct and delivery of this course! She was prompt in responding to any or all  the questions that the cohort had and resolved any issues pronto that would arise! As PM she was empathetic and caring, and served as a skilled facilitator to aid in the success of students who are typically full-time working professionals and stretched for time! Overall this program is an enriching and rewarding experience, which leaves the student with rich arsenal of the AI-ML skill set!  Read less

Completing the Post Graduate Certificate in AI and ML: Business Applications from the University of Texas at Austin has been an invaluable experience. The program provided me with a strong foundational understanding of how AI and ML can be leveraged to achieve better business outcomes. I especially appreciated the structured and rigorous approach, which allowed me to build on my previous knowledge in a way that was both entertaining and deeply engaging.
The live sessions with industry professionals offered insights into real-world applications, demonstrating how the skills I learned could be directly applied to create tangible impacts. Learning Python and being exposed to tools commonly used in Data Science has already proven beneficial in my current role, where I’ve been able to create impactful software which leverages these new skills.
The support from the program managers was exceptional, especially when I faced a personal situation and needed flexibility. The video lectures, delivered by the University faculty, were of high quality—both in production and in content—and I found them unexpectedly entertaining.
I’m excited to use the skills I’ve gained to advance my career as a Software Engineer, incorporating more AI and ML tools into the applications I develop. The data analytics knowledge I acquired will be invaluable as I continue to grow professionally. This program has been a true investment in my future, and I look forward to continuously learning and upgrading my skill set. Read less