The course is interesting
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
Great Learning is exceptionally well-rated by customers. Customers particularly appreciate professional and quality, though some mention concerns about customer service and communication.
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
I recently finished a 4-month course "Data Science – AI/ML No-Code Tools" from Great Learning (MIT), and it was even better than I expected. The course is designed for professionals, including those in leadership roles, and is accessible even to individuals without a coding background. It was well-structured and easy to follow. It included video lessons you can watch at your own pace, live sessions with mentors to clear doubts, and hands-on practice using tools like RapidMiner and KNIME. There were also lots of real-life examples to help apply what you learn. The content was great, everything ran smoothly, and the program coordinators were very supportive. I highly recommend it!
The course is well designed, challenging and definitely covers a great deal of content. Though quick paced, the projects give us real world problems and good experience solving them. I am enjoying the course, with a sense of accomplishment as I move forward with every module!
It covered all the fundamentals from data science to deep learning, followed up by a rich set of projects/tasks that puts yout knowledge to work.
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I want to take a moment to express my heartfelt thanks for the incredible experience I had in this course : AI for leaders. The course was extremely helpful for busy working professionals like myself. The content was not only practical and insightful, but it was also tailored to provide immediate value, allowing me to apply what I learned directly to my leadership role. The professors were incredibly knowledgeable and brought a wealth of real-world experience to the table. Their ability to break down complex AI concepts into digestible and actionable insights was truly impressive. It’s rare to find instructors who not only understand the subject matter deeply but also know how to communicate it effectively to diverse audiences. Additionally, I would like to extend my gratitude to the friendly and supportive staff. From the onboarding process to every interaction with the team, everyone was responsive, approachable, and genuinely invested in our learning journey. Special thanks to Gurleen and Mohit. Most importantly, the valuable guidance I received throughout the course has been instrumental in shaping my strategic thinking around AI and its applications in leadership. I feel more equipped and confident in leveraging AI technologies to drive innovation and efficiency in my organization. Thank you again for this wonderful learning experience. I’m deeply grateful for all the knowledge and support I’ve gained and look forward to applying it in the years to come.
Date of experience: January 16, 2025
For me, this was a fantastic course and certification program for me to participate in. It was at the right level for me, I was pretty green. I was pretty new. I knew how to spell AI but I didn’t know much more than that and I enjoyed learning the construct and what made AI work so that I could then work with that data to become a much better prompt engineer
Date of experience: January 15, 2025
US
I recently finished a program in Machine Learning and Data Science, and it was fantastic! The professors were not just experts but also great at breaking down complex topics and making them easy to understand. The course coordinators were super organized and always ready to help, which made the whole experience smooth and stress-free. The program struck a great balance between theory and hands-on projects, so I walked away with practical skills I could use right away. If you’re looking to learn data science and machine learning, please consider this program!
Date of experience: January 15, 2025
MIT-PE Partnered with Great Learning is a fantastic professional education path! MIT-PE ADSP Massachusetts Institute of Technology Applied Data Science Program is a super intensive 12-week program consisting of 8 courses with three main projects: a Python coding and statistics first project, an elective project, and a capstone project. The 8 courses are the following: Foundations: Python and Statistics (2 weeks), Data Analysis and Visualization (1 week), Machine Learning (1 week), Practical Data Science (1 week), Deep Learning (1 week), Recommendation Systems (1 week) Elective Project, and Capstone Project. The first week of the program you learn Python and the second week you learn descriptive and inferential statistics. If you took statistics in college imagine all that you learned in that one undergraduate course in a semester and compressed it into one week and that will give you an idea of the intensity and compression of every course in this program. You are getting 12 semesters of college curriculum compressed into 12 weeks. Each course has 30 to 40 mini videos most no longer than 20 minutes to tutor. There are world-class Massachusetts Institute of Technology professors performing real world research in data science, statistics, engineering, and the mathematical and biological sciences who teach live lectures during the weekday. Each course features a different professor, and each lecture is 2 hours long. There are live mandatory mentor sessions every Saturday and Sunday each 2 hours long. During these sessions you go line by line through code in Jupyter notebooks on case studies. This is when you can ask detail-oriented code questions. All live sessions are recorded and uploaded usually within a day. For projects, there is an AI mentor to help you through code and the mentors provide a lot of tips and tricks. Great Learning also provides excellent motivational support and empathy through the program managers. you communicate with them chiefly via Slack. They are fantastic! I recommend to anyone who is taking this program to plan accordingly. This is not-self-paced and extremely rigorous. It is 12 semesters of college in 12 weeks. They offer pre-grogram prep course work. Use those courses to learn the Olympus learning platform. Get familiar with it before the orientation meeting. Listen to the lectures to get the concepts then watch them again on video and take notes. Study your course material to pass the quizzes. Pre-read class lecture notes and slides. The lectures are high ltitude and big picture concepts and may require some critical thinking. Use the case studies to practice working in Jupyter notebooks and applying the concepts. Ideally, get 2 monitors: 1 for the mentor session lecture and 1 for working on the Jupyter notebook during the mentor session. Copy the code in the case sessions and practice it. Just because you run through code with a mentor, does not mean you know what you are doing. Practice. Copy the code in the case studies and practice it. Hands-on work is essential. When you get to Deep Learning, pay 9.99 for Colab Pro. You will need the compute power and higher rank for the shared colab. Only extract files using your Jupyter notebook once. Extraction uses up your quota. If google colab quota is exceeeded, you have to an entire day to reset your quota. This is not an MIT-PE problem. It is a Google Colab shared services problem. But it can impact your ability to work on projects. You need a 60% in every class to get your certificate. This is not 60% overall but 60% in every class. The program cost of ADSP for me in September 2024 was $3700 USD. They do offer early enrollment discounts and financing options. Just do it! Slap it on a credit card if you have to. I did. Data Science is just fun! and MIT-PE and Great Learning ignite a passion for data Science!! So get in there and just do it! I know this program will kickstart my data science career! Once you graduate, they offer you access to your course materials, Olympus, and the Greater Learning Community for 3 years. The program also includes 'Excelerate' to help you with your job search. They offer resume writing tips, interviews help, and ideas to jumpstart your data science career. I am just starting that process now. I will be receiving my certificate Feb 8 2025.
Date of experience: January 15, 2025
US
I had the privilege of attending MIT's Applied Data Science Program offered by Great Learning, and it has been an incredibly enriching experience. The curriculum is well-structured and covers a broad range of key topics, from machine learning, and statistical methods to data analysis and visualization. What truly sets this program apart is its real-world applicability. The faculty are well renowned in their respective fields, and they bring a wealth of expertise to the classroom, making complex concepts easily digestible and engaging. The hands-on approach, with ample opportunities to work on real data sets and real world scenarios is invaluable. Whether through individual projects or collaborative team assignments, I gained practical experience that I could immediately apply in my work. The program’s blend of rigorous academic learning and practical, actionable insights is perfect for anyone looking to make a significant impact in the data science field and to keep updating your knowledge base and to educate yourself on the latest ML/AI concepts and evolution. Industry mentors and review sessions are a great addition to the learning curriculum. Industry mentors act as moderators during the live virtual classes with MIT professors while providing the necessary context and practical applicability of the theoretical aspects. Great blend of program methodology. Review sessions for coding, case studies, and hands-on practice data sets offer another advantage. Industry mentors take the time to review and answer almost all questions while simplifying the understanding of ML, generative AI, deep learning, statistics, and other concepts. Program is intense and will require equal amount of effort from the participant to absorb all the knowledge. Course is thoroughly supported by Great Learning's program managers to ensure you have an amazing and seamless learning experience. Additionally, MIT’s reputation and the networking opportunities that come with it cannot be overstated. In short, MIT's Applied Data Science Program is a game-changer. It equips you with the skills, knowledge, and network to excel in one of the most exciting and rapidly growing fields today. Highly recommend it to anyone serious about advancing in data science and its applications!
Date of experience: January 14, 2025
I am thrilled to share my heartfelt appreciation for the Great Learning team and UT Austin for their outstanding efforts and commitment in delivering the Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications. From the very beginning, the program stood out for its well-structured curriculum, which perfectly balanced theoretical concepts with practical applications. The collaboration with UT Austin added immense value by bringing world-class faculty and insights from one of the leading academic institutions in the world. The dedication and involvement of the Great Learning team were evident in every aspect of the program. From timely doubt-clearing sessions to comprehensive project feedback, the support system was exemplary. The live sessions, expert mentorship, and real-world case studies provided a holistic learning experience that bridged the gap between theory and practice. This program not only enhanced my knowledge of AI and ML but also empowered me to apply these cutting-edge technologies to solve complex business challenges effectively. The capstone projects were particularly instrumental in gaining hands-on experience, helping me build confidence and sharpen my skills. I am incredibly grateful to the Great Learning team and UT Austin for their unwavering support and for creating such an impactful learning journey. This program has been a significant milestone in my professional growth, and I wholeheartedly recommend it to anyone looking to excel in the fields of AI and ML. Thank you for making this journey both inspiring and rewarding!
Date of experience: January 14, 2025
This course offered by MIT is quite unique in my view. As a professional with engineering degrees I really didn't want to spend too much time reviewing the math behind the theory, but rather want to learn more about the practical use cases. This course gave me exactly what I was looking for. The course gives a good overview of the historical background of how these algorithms have developed over the years albeit they were not all called AI, but nonetheless the basis for the current day AI field. This course still managed to give a decent intro to the latest LLM algorithms. But, most importantly, the course managed to cover many of the representative applications in machine learning, deep learning neural network, structured and unstructured learning, all the way to the recent LLM's transformer models. Of course we can't expect it to be too deep in theory while covering so many topics, but it gives a good overview of how the algorithms being used have evolved over the years and found niche applications along the way. The instructors and professors were also very efficient in their delivery of materials. Of course we all wish that we could get a bit more from each lecturer, but that is just natural reaction when the lectures are quite interesting, IMHO... ;-) In summary, it was totally worth the time and resources I put in, and my only wish is that I had more time to delve deeper into each topic we've covered. But, of course, that it something I can and plan to do as a follow up to this course. I will strongly recommend to anyone who wants to know more about AI and its historic and related topics.
Date of experience: January 14, 2025
US
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.
Date of experience: January 13, 2025