Great Learning

Enrolling in the No-Code AI and ML: Leveraging Data Solutions course with Massachusetts Institute of Technology (MIT) through Great Learning has been one of the best decisions I've made to upgrade my skill set. Like many, I had my doubts—would it be worth the investment? Would the content be truly valuable? Now, as I near completion, I can confidently say that this course has exceeded my expectations.This program is vast, insightful, and extremely well-structured—a two-year curriculum compressed into an intense yet enriching four-month journey. If you are a curious learner, this is the perfect opportunity to dive deep into AI and ML using no-code tools. The course provides not just theoretical knowledge but also hands-on experience through case studies and real-world projects, ensuring practical implementation of concepts.What stood out for me:
✅ Mentored Learning Sessions – The mentor was incredibly patient, addressing every query and simplifying complex concepts.
✅ Project-Based Learning – These assignments took my learning to the next level, allowing me to apply my knowledge effectively.
✅ Program Support – The Great Learning team, especially the program manager, was proactive in resolving queries and keeping us on track.I now feel proud and confident about my enhanced skill set and excited to implement AI-driven solutions in my workplace. Lifelong learning is a journey, and this course has been a game-changer in mine. 🚀If you're looking for a structured, hands-on, and well-supported learning experience in No-Code AI & ML, I highly recommend this course! Read less

Enrolling in the Post Graduate Program in AI and ML with Great Learning has been one of the most rewarding learning experiences of my career. This program not only met but exceeded my expectations, offering a structured and immersive approach to mastering AI and ML.A Well-Designed Curriculum with Real-World RelevanceThe program is meticulously crafted, covering essential concepts from Python fundamentals to advanced topics like Machine Learning, Neural Networks, NLP, and Computer Vision. What stood out was the emphasis on hands-on learning—each module was reinforced with industry-relevant case studies and projectsExceptional Faculty and Industry MentorshipOne of the program's strongest aspects is the quality of instruction. The faculty and industry mentors brought complex topics to life with clarity and depth, making even the most challenging concepts digestible. Weekly mentorship sessions were invaluable, providing personalized guidance and real-world insights that helped connect academic learning with industry expectations.Balancing Work and Learning: A Challenging Yet Fulfilling JourneyJuggling a rigorous curriculum alongside professional commitments was demanding, but the structured approach made it manageable. The program encourages collaborative learning through peer discussions, team projects, and hackathons, which added to the overall engagement. The support from program manager Debanwee and mentors played a crucial role in ensuring a seamless learning experience. Read less

The program was exceptionally well-structured, featuring top-tier faculty who provided deep academic insights, alongside an outstanding mentor who effectively connected skills and knowledge to real-world applications. The program manager and support team were incredibly helpful throughout the journey. The Olympus LMS was highly user-friendly and practical, making learning seamless. However, I had hoped for more hands-on training with practical tools to fully meet my expectations. Nonetheless, it was an unforgettable learning experience overall!




Read less

I am at the tail end of my "Post-Grad Program in AI & ML: Business Applications" with The University of Texas at Austin McCombs School of Business and Great Learning. I was given a phrase at the beginning, "Trust the Process". More valuable words have never been said. The information taught starts to build upon itself and makes logical sense from the first course onward. 
The way I have been supported by numerous personnel should be a great source of pride for the faculty and staff. My program manager Debanwee is always there to lend a virtual hand, no matter the topic. Additionally, the portal for learners, (we're learners, not students lol! I just love that), "Olympus" is well thought out and intuitive. Olympus is stocked full of curriculum and course material. The "class" videos are easily digestible and if any portion isn't readily understood, there are ample subject matter experts there for support and there are weekly, live, virtual classes led by very knowledgeable people who will take the time to answer any & all queries, issues, or otherwise. There are also additional non-mandatory courses that can fill in any knowledge-gaps a learner may have. They seem to have thought of everything. 
I was sidelined from my career by a medical crisis, and now that it is time to return to my IT career, this sort of upskilling couldn't be more perfect. Many kudos to all those responsible for making this program available. Read less

Completing the MIT IDSS Data Science and Machine Learning program with Great Learning was an enriching experience. The well-structured curriculum, featuring recorded lectures from MIT faculty and live weekend mentorship sessions, provided a strong foundation in DS & ML concepts with real-world applications. The interactive sessions with industry experts and hands-on projects made learning highly practical. Great Learning’s support was exceptional—especially the program manager, who facilitated my move to a different cohort due to a personal emergency, showing their commitment to student success. This program not only enhanced my understanding of ML but also helped me take up a new machine learning opportunity and responsibility at work. It’s a great choice for professionals looking to upskill in data science and machine learning with expert guidance. Read less

The MIT Great Learning AI - Machine Learning course is an exceptional learning experience for anyone looking to dive deep into the world of machine learning. The content is meticulously designed and provides a perfect blend of theory and hands-on practice.
The instructors, all of them are renowned experts in AI and machine learning, break down complex topics in a way that's both accessible and engaging. Whether you're a beginner with zero pre-knowlege like myself or have some experience, the course structure ensures that you can follow along while also challenging yourself. One can only rate it 5 stars Read less

 The collaboration between Great Learning and MIT IDSS in bringing this course to learners is truly commendable. This program serves as a comprehensive resource for mastering data science and machine learning, striking a great balance between theory and practical application. The curriculum is well-structured, covering key concepts with real-world case studies and hands-on projects that enhance learning. It provides valuable insights and practical skills essential for making informed, data-driven decisions across various domains. Highly recommended for anyone looking to build expertise in this field. Read less

I found the No Code AI and Machine Learning course to be a well-structured and insightful learning experience. It provides a solid foundation in AI concepts without requiring coding skills, making it accessible to a wide range of learners. The course offers practical insights, useful resources, and flexible learning options, which helped me better understand and apply AI solutions in real-world scenarios. Overall, it’s a great option for anyone looking to explore AI in a simplified yet effective way. Read less

The course was at once challenging and satisfying! The closest I had come to AI was through playing around with Expert Systems, and the last time I did any coding, it was in Visual Basic - So the No-Code approach was made for me! As for Machine Learning, a good knowledge of statistical analysis could have helped me, but I disliked those classes during my undergraduate degree in Engineering. However, the universe was very forgiving when it allowed me to come across this No-code ML+AI course by MIT, which did not assume any prior knowledge of statistics and maths. Everything you need to know is introduced and explained in the course. However, I couldn't get over the ease with which the faculty made very complicated concepts so easily understood. In the course, one only needed to understand what the concepts meant and their role in the topic at hand, so I did not need to manipulate any complex maths or stats to make significant progress on the course. I found the Mentored Learning Sessions, taken by experts from the industry, very helpful in grounding the theoretical concepts in business use cases to which I could relate. This was almost always followed by hands-on sessions with experts who showed you how to use the no-code tools. I joined the October 2024 Cohort and am due to finish the course in mid-February 2025. despite working full-time, I was always excited to set aside 10-14 hours each week to review the materials, prepare for the various assessments and projects, and attend the Mentored sessions. I have thoroughly enjoyed upgrading my knowledge of AI and Machine Learning, and I am inspired now to use my new skills in my day job. I certainly recommend the Great Learning Team and the MIT Faculty, who have made my journey of discovery so enjoyable! Read less

Very nice experience with all the software support and learning from video lectures and mentor sessions. They are very informative and insightful of real world applications using real world examples and assignments. However they are many other domains in AI such as reinforcement learning, and if they can be included will be better for the completeness of the program Read less

The course helped me to get familiarize with various tools to analyze the data and derive great insights out of it. I applied the learnings from the course  in my day to day work  that helped me to standout. When I learnt how image identification is done using filters It opened me whole new set of ideas that can be applied when designing a new system.  Read less

I have been a lawyer in the life sciences space for almost 30 years.  In the last couple of years, the topic of AI seemed to be a part of every conversation, and it also seemed like no one, including myself, really understood what it meant.  As a lawyer, how can I truly understand the risk and legal implications of AI if I don't understand what it is?  I researched various courses and selected the UT McCombs AI & Machine Learning: Business Applications Program based on the breadth and depth of the Program and the cost. 

It has been hard.  I had never coded and learning Python was very difficult.  I was frustrated most of the time.  Fortunately, Debanwee Ghosh, my Program Manager, was always encouraging and supportive.  Without her, I definitely would have quit.  She has been great about finding resources and she is always soliciting feedback to make the Program stronger and student-centric.  

I really like the Program's learning model.  During the week, you watch videos and take quizzes to learn the theory, and the weekend session is used to apply the theory to an actual business case.  During that same session, students have the opportunity to ask questions and get immediate feedback.  The instructors have been very good.  My only note is that there isn't one single female instructor which seems out of step with the study body composition and industry trends.  

As I approach the end of the Program, I am not only sad that it is wrapping up, but I am also so please that I did it.  I have increased my understanding of AI a thousand percent, and I am confident that I can bring much more value to my work than I did before.  Thank you! Read less

Recently, I completed the Data Science course at MIT Professional Education, and the experience was simply incredible. The course content is of the highest quality, combining well-structured theory with practical examples and real-world cases, making the learning process dynamic and highly applicable.The organization of the course was impeccable, and the staff was always available to answer questions and provide guidance. After completing the program, I feel much more confident in applying the skills I acquired, both in personal projects and in the job market, particularly in areas related to machine learning and data analysis.I highly recommend this course to anyone looking to enhance their knowledge in technology and data science, regardless of their level of experience. It was a choice that, without a doubt, added significant value to my professional development. Read less

Enrolling in the MIT Professional Education - Applied Data Science & Machine Learning program has been a career-defining decision. The program provided a deep dive into machine learning algorithms, deep learning models, and natural language processing (NLP), offering me a comprehensive understanding of the core areas driving modern AI innovations. The hands-on projects were especially valuable, allowing me to apply my learning to real-world AI-driven applications.

The curriculum was not only rigorous but also highly practical, equipping me with the technical skills required to excel in a rapidly evolving industry. The instructors were incredibly knowledgeable and provided consistent support throughout the program, ensuring I never felt lost—even when tackling complex concepts.

This program has significantly shaped my career outlook, instilling the confidence and expertise to pursue new opportunities in AI and machine learning. If you're looking to elevate your skills and embark on a career in this dynamic field, I highly recommend this program. It offers the knowledge, tools, and support necessary to succeed. Read less

The MIT Applied Data Science program greatly helped me advance my career and acquire the practical knowledge necessary to progress to the next step. The material is accessible and engaging (the lectures are amazing!). They will give you enough background to get up to speed. I was unsure if I could complete the work while having a full-time job and family responsibilities, but the course does give you enough time to absorb the material.  Plus, my boss will help me reclassify as a data scientist for my role at work. Thanks to all the mentors, professors, and program managers - it really was an excellent experience!  I am grateful! Read less

I am halfway through completing the “No Code AI and Machine Learning” course offered by MIT in collaboration with Great Learning. This program has been an exceptional experience, and I strongly recommend it to aspiring data analysts and learners. The mentorship provided by MIT faculty and Great Learning representatives is highly supportive, ensuring that every concept and aspect of the curriculum is well understood. The course is meticulously structured, with significant efforts from the Great Learning team, making it both engaging and effective.
I would like to extend my gratitude to Runchika for her unwavering support and dedication. Her assistance has been instrumental in making the learning process seamless. 
The program covers theoretical foundations, mathematical concepts, and practical business use cases, which has significantly boosted my confidence in pursuing a career in the fields of Data Science and AI. Read less

Studying the No Code AI and Machine Learning: Building Data Science Solutions program by MIT Professional Education via Great Learning has been an exceptional and transformative journey. From the very start, I was excited to dive into the world of AI and machine learning, and this program did not disappoint.

I've had the opportunity to learn the machine learning algorithms - Decision Tree, Random Forest, ANN, etc. and their applications across various sectors. The hands-on projects were particularly impactful, as they allowed me to create workflows from scratch. This practical experience enabled me to understand how to adjust hyperparameters to improve the performance of prediction models.

Great Learning's platform provided a vibrant discussion forum and connected us through learning groups. These interactions allowed us to share our insights and perspectives on the topics covered, fostering a collaborative and engaging learning environment.

This journey has been nothing short of amazing, and I am immensely glad to be a part of it. Cheers to many more learning adventures ahead! Read less

Having just finished the Applied Data Science Program from MIT Professional Education, I can say with certainty that this has been a standout educational investment. The curriculum design brilliantly balances core fundamentals in Python and statistics with cutting-edge machine learning concepts, creating a perfect learning progression.

The faculty quality is outstanding. The MIT instructors demonstrated exceptional skill in making complex subjects digestible without sacrificing academic depth. I particularly enjoyed the interactive nature of the live virtual sessions, which made challenging concepts in areas like neural networks and recommendation engines both approachable and practical.

One of the program's greatest strengths is its practical focus. Rather than drowning in theory, we were constantly applying our knowledge to real-world scenarios. The three-week capstone project was particularly enlightening, letting me put into practice everything from initial data analysis to sophisticated machine learning techniques on genuine business challenges. I was impressed by how current the material is, including modules on ChatGPT and Generative AI.

The learning support exceeded my expectations. The industry mentors brought real-world context to our learning, while our dedicated Program Manager provided consistent guidance and encouragement throughout the journey. The program's "low code" philosophy was especially effective, ensuring the material was accessible without sacrificing comprehensive understanding.

I found the program particularly strong in bridging theoretical knowledge with practical application, with its Python-focused approach to data science being especially valuable. The combination of live sessions, hands-on projects, and expert guidance created an engaging and effective learning environment.

Whether you're pivoting into data science or building on existing expertise, this program delivers exceptional value through its thorough curriculum, expert instruction, and focus on practical skills. While the MIT Professional Education certificate and 16.0 CEUs are great credentials, the true value lies in the comprehensive skill set and confidence you develop throughout this thoughtfully designed program. Read less

I'm currently taking the PG course in AI & Machine Learning offered by the University of Texas at Austin and Great Learning, and it's been an amazing experience! The lessons are well-structured, starting from the basics and progressing to more advanced topics like neural networks. The hands-on projects are incredibly engaging, and they help reinforce what I'm learning. The instructors explain even complex ideas clearly, making it easy to follow along. The community and support resources (especially AI mentor for project support and interview preparation) are also excellent. I'm excited to keep going and apply these skills in real-world scenarios! Read less