Great Learning

The MIT DSML certificate through Great Learning was well worth the investment. With my PhD in Human Communication and Conflict Management from Arizona State University, I already had a statistics background, but I was not super familiar with Python coding. Not only did the course provide a great deal of background information and prework for Python coding, we were also allowed to complete our projects as either a data analyst who programmed or as a data science manager who presented the analyses. I chose the latter, and I'm grateful for the two options. Vineet Mishra was my program manager, and he was super supportive and helpful. The program is robust, and as others have said, the curriculum was comprehensive.  Read less

**DSML program by MIT/Great Learning  **   💯     Sept 23rd ,2024 batch💓     1. I will recommend over and over again the Data Science Machine Learning  program of Great Learning & MIT to any soul who sincerely hunger and aspire to learn and master the nitty gritty of industrial and research-based algorithms to solve real life problems.                                                                           2. Today, I can competently pride myself as a skillful Data Scientist with  sound and clear  knowledge of different machine learning models from classification,regression,clustering,deep learning, recommendations system, to graphical neural networking, courtesy  the rich and comprehensive curriculum,material, videos,and time-bound assessments injected into this program 🥰                         3. Most importantly,the  amazing myriads of support,timely  feedback , sound mentoring and comprehensive evaluations of the three project by our assessors were absolutely legendary, insightful and significant.                        4. To  this end,  I say a resounding Thank you  to our amiable and amazing support manager   Shweta, for her incredible swift  updates and feedback, while also appreciating the priceless efforts of all our fantastic and brilliant teachers from MIT and Mentors from Great Learning.                           5. 🎖️🎗️🏵️And finally, I wish to congratulate my fellow learners from all fields of human endeavour across nations  including Singapore, Uganda, Indonesia, Philippines Nigeria,Ghana, Japan,Indian ,South African ,USA and several other countries for this Wise Investment...............     🎗️🏆💰🤝                      6.  And a big Shout out to all my amazing instructions :Dr Bradford Tuckfied, Amir Tavassal, Yash Saxena, Veiju Venkata,Anuj Saboo ,Kavshal Kumar,,Ishwor Bhusal, Jayantilal Valji and MANY OTHERS for making this journey incredibly worthwhile and memorable .                                   Dr Francis Agbaraolorunpo University of Lagos , Nigeria Read less

I enjoyed thoroughly right from the day 1 of PGP-AIML course. PMO team was very supportive in providing heads-up on the learning model, orientation and overall program support was really organized nicely. We had the flip learning model introduced and instructor led classes was very well planned during my weekends. Additional instructor led sessions were another a supportive one to learn real time case-studies. I would strongly recommend this course those who are interested to pursue AI and ML. The hands-on projects helped me to achieve and increase the on-the-job learning experience. On top of that, the Olympus learning is well planned digital platform for graduates to learn, track and measure our success. Thank you Great Learning for all the support! Read less

The MIT Applied Data Science Learning Program offers a truly exceptional learning experience that exceeded my expectations. The program's comprehensive curriculum provides depth and breadth, skilfully building a robust foundation in all the essential data science concepts and skills. From in-depth statistics to the nuances of coding, the program provides a comprehensive, clear, and well-thought-out introduction to the field. The program's flexibility allows it to accommodate various learning objectives, from professional upgrading to full-time career change. It is taught by leading MIT faculty in live sessions, and is accompanied by industry experts that provide all you need to know. Great Learning completes this with a well-designed platform and exceptional mentorship. In summary, the MIT Applied Data Science Program is an excellent educational journey, providing a solid foundation for effective application of data science skills in real-world scenarios. Read less

Unlocking the Power of AI and ML without coding
As someone deeply fascinated by the field of AI and machine learning, but without a strong coding background, I discovered the "MIT No Code AI and Machine Learning: Building Data Science Solutions" course. This course promised a deep dive into AI and ML without the steep learning curve of programming, and it delivered spectacularly.

Content and Structure:
The curriculum was meticulously crafted, offering a blend of foundational AI concepts and practical applications. Modules like 'Understanding Machine Learning Models' and 'Implementing AI Solutions Without Code' were particularly enlightening. The course demystified complex topics, making them accessible and engaging.

Focus on No Code AI and ML:
The course’s emphasis on no-code solutions in AI and ML was its standout feature. It introduced tools like RapidMiner, showcasing how powerful AI models can be built and deployed without writing a single line of code. This approach is making AI more accessible to a broader audience.

Learning Outcomes:
Post-course, my understanding of AI and ML has deepened significantly. I gained practical knowledge in building AI models and an appreciation for the potential of no-code platforms in democratizing AI technology.

Target Audience:
This course is ideal for professionals looking to integrate AI into their work, educators seeking to incorporate AI into their curriculum, or enthusiasts eager to learn about AI without the prerequisite of coding expertise.

Overall Experience:
My experience with this course was overwhelmingly positive. While more advanced topics could have been explored in greater depth, the course provided a solid foundation and stirred a deeper interest in the field.

Conclusion:
I wholeheartedly recommend this course to anyone curious about AI and ML but hesitant about the coding aspect. It's an enlightening journey through the world of AI, made accessible and engaging by MIT's expert instructors. Read less

This is a great way to round out your tool box. Adding autoML and analytical skills to your toolkit is a great investment. Great Learning offers that opportunity at a good price, while maintaining value.

This course covers the entire machine learning workflow: teaching ML from an Ops perspective, as well as the practical application with powerful tools. Read less

I am in the 12th and final week of MIT Professional Education’s No Code AI and Machine Learning: Building Data Science Solutions course which has provided an in-depth exploration of AI's business applications and hands-on implementation. This course has equipped me with a firm understanding of prevalent AI algorithms, emphasizing the use of no-code tools to construct practical solutions. The program fostered critical thinking and problem-solving skills for tackling real-world challenges through AI. By creating intelligent prototypes and models, I will be ready to contribute to data-driven decision-making upon completion. I recommend this course to individuals without prior experience in data science who are looking to cultivate their knowledge of the AI landscape and drive impactful change within their organizations. It's a valuable investment in your professional growth with regards to AI and ML and it's vast potential across all lines of business.  Read less

I highly recommend the school where I studied IA.  It stands out for its impeccable organization, high-quality explanations supported by practical examples of great academic value and support staff with exceptional human quality.  My experience was truly exceptional. Read less

I recently completed the Great Learning MIT No Code AI/ML course, and I must say it exceeded my expectations. The program was very streamlined, beginning with an orientation that clearly outlined what to expect and the criteria for successful completion.

The program manager, Shaumya, was exceptional in ensuring that we were always informed about upcoming assignments and classes. Her understanding and flexibility were especially appreciated; she accommodated special requests and understood that we might miss deadlines due to our busy schedules.

The faculty, Frederic Premji, was remarkable in his teaching approach. His pace was commendable, ensuring that all students thoroughly understood the material and had no lingering doubts.

An additional highlight was the optional classes led by Peyman Hessari, which were instrumental in providing practical, hands-on experience with AI/ML tools. This aspect of the course was invaluable, especially for professionals like me who are keen on applying theoretical knowledge in practical scenarios.

Overall, this course is not just for individuals in business fields but also for hands-on professionals who aspire to create models. The knowledge I gained from this course is already benefiting my colleagues and me in our work.

I highly recommend this course to anyone looking to delve into the world of AI/ML without the need for extensive coding knowledge. Read less

Should We Create Yet Another Human Think Tank Collaboration?   Like many of you, I’m just now finishing my Great Learning course from MIT in AI, ML, and Data Science. However, unlike you, I am 85 years old, so my goals and objectives are probably quite different from yours. I signed up out of curiosity and with some trepidation, as my background is in language, linguistics, and in WORDS, not numbers.  Despite a poor background in mathematics and no formal experience in statistics, as an independent multicultural consultant and community development person, I’ve managed many million dollar budgets and have provided professional guidance and funding for teams of scientists, researchers and educators in several academic and technical disciplines.    Mostly, I signed up because I’m hungry.  I am fascinated by what’s happening to us, to all of us, as humans, and I want to know what role to play in this critical time of transition.  For each of us, as we wake up each morning on our own side of this tiny planet, do we check ourselves out to see how we’re doing?  Are we ok, doing well? Do we know how to be happy?  Are we being fully human? Are we building a world that’s worthy of all that’s best in us?  Can we even do that? What are these tools, and how can I use them to make my life, my world, amazingly and almost miraculously better? Might these tools hold the key that enables me, as an earthling, to become the best human “me” that’s possible?   I am not an algorithm or a bot. This is being written freehand by me, a human, just a sort of smart and adventuresome old lady sitting here with my laptop and a cup of coffee; here in this resilient solar-powered home I built; here on earth; thinking about YOU out there. You reading this.  You thinking about what to do with your life.  You, imagining what it would be like to become the best human possible   So I urge you to jump on board this amazing space ship.  Don’t be afraid to learn.  Don’t hesitate to trust yourself. Recognize and accept that you, as a human, already have access to the most amazing tools imaginable.  Let’s learn to use those tools in the best way possible.  Let’s bring every person along with us: every child, every refugee, every prisoner, every migrant farm worker, every homeless person; every entrepreneur, engineer, doctor, and business person; every millionaire or billionaire; and especially every politician, media person, and technology guru – let’s create some worldwide ways to ask the right questions.   And let’s find out how best to deal with the answers we get – the point being to Remain Human.    With profound thanks to Great Learning for this course, for opening my eyes yet a bit wider, and for the wonderful guidance of Shruti Prakash, my Program Manager and mentor, and her excellent team. And to all my teachers, I ask:  Might we, could we, would you help me leave a legacy for future humans?  I’d like  to build some exceptionally adaptive learning situations centered on lessons to be learned in Nature, Science, Spirit, and Radical Systems Thinking – right here in the high desert rural wildlands of Colorado’s Rocky Mountains, inspired by star-gazing and other adventures at the The Great Sand Dunes National Park. Let’s think about that.  Read less

Priyanka Kothari was my program manager for the No Code AI Machine Learning course through MIT/Great Learning. She was always incredibly helpful, attentive, and helped me stay on track as major life changes happened during the time I was taking my classes. Thank you, Priyanka! Read less

The Great Learning Team, mentors and teachers have been amazing at accompanying me to reach my goals, the course is well structured and covers all the topics needed to properly understand AI as a tool to enhance projects/companies and work structure. The course projects are very technical but the course provides both a tech path and a business, so don't be afraid to enroll whatever your goal may be.  Read less

This course has been a game changer. It's thoroughly insightful, offering practical knowledge that's immediately applicable in my workplace. The course brilliantly demystifies complex concepts, making them accessible without needing any coding skills. It's a valuable resource for seizing new opportunities at work. Read less

 Couple of months back I decided to learn something new so I choice Machine learning course “No code machine learning and AI” from MIT delivered by Great Learning, and it was great learning experience so far. Well planned Online training material, mentor sessions and practical hands-on case studies. It was quite impressing the way they have design the program. They took the baby steps first sharing pre-work online material than schedule the mentor sessions. Pursuing this with other multiple full-time engagements might be challenging at times due to the rigor, but the program managers are quite accommodating and ready to help when needed. Overall, a great experience! I would highly recommend this course to get knowledge on No code machine learning and AI tooling and algorithms. Read less

Studding No code machine learning  and AI from MIT delivered by Great Learning is enjoyable experience. Learning is well organised into weekly cycles with very easy access to all modules. Each module contains lectures, case studies, hands on and mentoring session and other tools which makes it easier to  gain deep understanding of the concepts. Our mentors are professional with strong industry experience who provide valuable insights in relation to real world application of newly gained knowledge. Our program manager Rushika provides timely WhatsApp updates to ensure we do not miss any class or assessment deadline making it considerably easier to integrate study with other commitments. I would like to thank all  Great-learning team for smooth delivery of this powerful programmer.  Read less

This course has given me the foundation and tools I need to go out on the market again as Data Scientist complementing me 31 years of experience from the information technology world. It will make me hit the ground running. Well worth the the last 15 weeks of hard work. Read less

The content is well structured and blends the theoretical underpinnings with practical hands-on projects. Pursuing this with other multiple full-time engagements might be challenging at times due to the rigor, but the program managers are quite accommodating and ready to help when needed. Overall a great experience! Read less

When I signed up I was afraid this was going to be another certificate site where you just watch videos but not actually learn anything. The content is actually well paced and the weekly sessions with an actual instructor who is in the industry are very well done and eye opening. They really bridge the gap from tutorial hell. Another thing worth mentioning is that the time investment is truly at least 5-10 hours a week. Some projects actually take at least 8 hours in addition to the tests. It really is a program designed to help you learn.  Read less