Great Learning

I enrolled in the Data Science & Machine Learning course and was astounded by the program and the depth of knowledge I gained. Upon completing the program, I realized the immense applicability of this knowledge in various research fields, as well as in personal endeavors such as budget planning. The insights I've acquired have fundamentally altered my approach to data interaction and analysis. This program has been the most enriching and impactful educational experience of my life. Investing in this program was undoubtedly one of the best decisions I've made. The flexibility of learning from home, whether after university or work, and significantly enhancing my skills has been incredibly valuable. I am particularly grateful for the educational platform, which offers an abundance of resources, including additional courses and information. It provides insights into fascinating real-world Python projects across various sectors like healthcare, the food and restaurant industry, and e-commerce, all involving realistic data. This has greatly enriched my learning experience.

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Having enrolled in MIT's  Data Science & Machine Learning program for the October cohort last year, I absolutely loved it. For those considering the program, here are some additional details:

Course Content: participants will receive pre-work to become familiar with the tools needed to successfully complete the program. The content is designed to be self-paced, with practice exercises and quizzes to reinforce learning.

Mentored Learning: The program offers mentored learning sessions with industry experts to revisit content and clarify any doubts.

Projects: program offers machine learning problems related to regression and classification, providing hands-on experience and skill development to showcase on collaboration platforms.

Platform & Support: The Great Learning platform is well-designed and seamless, with a program manager always available to provide support and assistance.

Enrolling in MIT's IDSS program was highly educational and informative, recommended for aspiring students and professionals. Read less

Very current topics, efficient and professional learning support, with both compulsory and optional sections. With extensive extra materials, suggestions and projects, this course is a good fit for beginners as well as experienced individuals. Added bonus: access to the materials on the server for 1-3 years.  Read less

The program comes with excellent resources and case studies. I got to learn by solving problems on projects. The live mentor sessions were really helpful. I am thankful to the team at great learning for their support and I hope this will be a great beginning for me as I pursue a career in Data Science.  Read less

The Course was very well presented excellent program with great access to program resources and mentorship. A wealth of information also available very well presented. The case studies and projects had real world applicable type content, the course provided a really good start in the industry of Data Science and Machine Learning.

I’m really happy with Great Learnings platform and intend to continue using it for as longs is possible to further develop my skills in the field. Read less

My experience with this course has been outstanding. It offers highly detailed theoretical explanations, followed by a hands-on approach with a plethora of examples and practical exercises. The support team for the program is swift and responsive, ensuring that any queries are addressed promptly. The Program Managers and Instructors are highly professional, bringing a wealth of knowledge and expertise to the table. It's hard to imagine a more comprehensive content offering in a shorter time frame: in just four months, you'll grasp the fundamentals of Data Science, Machine Learning, Graphical Models, and Generative AI, among other topics.  Read less

It was a pleasure to be part of the program, this is one of the memories I will cherish when I get old and cranky, remember all the support the mentors and the program manager gave me through hard times. It is a great platform and a great opportunity to be updated as a professional. You must give it a try. Read less

Awesome learning experiance with well structured course management and cutting edge learning topics and professional guidiance. 
Fair and objective project evaluation in a hands on real life  environment designed to succeed in your career. Professional and responsive program management and education staff. Great value for money in a reasonable time frame.  Well done, keep going on this style.  Thank you very mich to to the entire team from Great Leaening and UTA.
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This was an experience worth investing in. The knowledge i have gained is priceless and the method of teaching, managing the course is so flexible for any kind of schedule you may have. The program managers are understanding and considerate, and the mentors are quite elaborate. This is truly the best Data Science and Machine learning course online! Read less

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