The course is interesting
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
4.8
Excellent
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Review summary
Great Learning is exceptionally well-rated by customers. Customers particularly appreciate professional and quality, though some mention concerns about customer service and communication.
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Based on reviews, created with AISee what reviewers are saying
Well Structured and Insightful learning experience
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
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!
MIT ADSP program review
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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Showing 941 - 950 of 996 reviews
AS
The MIT No Code Machine Learning Course…
The MIT No Code Machine Learning Course is an exceptional offering that makes machine learning (ML) accessible to individuals without prior coding experience. Designed with a focus on practical application and conceptual understanding, this course provides a robust foundation for anyone looking to harness the power of ML in their field. Key Strengths: 1. No Prerequisites: The course is tailored for beginners, requiring no prior knowledge of programming or machine learning. This inclusivity makes it ideal for professionals in non-technical roles who want to explore ML applications in their industries. 2. Hands-On Learning: By leveraging no-code tools, participants can experiment with building and deploying ML models without writing a single line of code. This hands-on approach ensures learners grasp not just the “what” of ML but also the “how.” 3. Real-World Applications: The course integrates examples from various industries, helping participants understand how to apply ML solutions to solve practical business problems. From predicting customer behavior to optimizing operations, the use cases are relevant and impactful. 4. Interactive and Engaging Content: The course materials are engaging, with a mix of videos, quizzes, and projects. The step-by-step guidance on using no-code platforms ensures that participants remain confident throughout their learning journey. 5. Expert Instruction: Delivered by MIT faculty, the course benefits from the expertise and insights of leading ML practitioners. Their ability to break down complex concepts into simple, actionable steps is a standout feature. 6. Focus on Ethics and Responsible AI: The course emphasizes the importance of ethical considerations and responsible AI practices, fostering an understanding of the societal impact of ML decisions. Potential Improvements: • Advanced Pathways: While the course does an excellent job introducing ML, it could benefit from offering pathways or resources for participants who wish to delve deeper into coding-based ML development after completing the program. • More Industry-Specific Content: Additional modules tailored to specific industries (e.g., healthcare, finance, or retail) could enhance the relevance for professionals with niche interests. Final Thoughts: The MIT No Code Machine Learning Course bridges the gap between advanced ML concepts and practical implementation for non-technical audiences. It equips learners with the tools and knowledge to apply ML solutions confidently in real-world scenarios, making it an invaluable resource for professionals in today’s data-driven world.
Date of experience: November 21, 2024
PS
Great Learning practical knowledge transfer with relevant base knowledge to understand what you do.
Great Learning has a very awesome approach to teaching AI,ML. First you get a university teacher to explain the fundamentals of what you want to learn, after you get the hands on real industry guy in a live session developing and explaining a practical way of doing it, with limited scope but real life examples. Im enjoying it a lot and certainly you get practical knowledge you can apply in your professional career. Its worth your money.
Date of experience: November 21, 2024
RP
Excelente
Excellent on-demand materials, great monitoring classes, and outstanding support from the rogram manager.
Date of experience: November 21, 2024
Fr
I enjoyed their lessons and the tutors…
I enjoyed their lessons and the tutors explain everything into detail.The self pace it's also incredibly especially for those are working like me.
Date of experience: November 21, 2024
bs
My experience with Great Learning has…
My experience with Great Learning has been great as I have over 10 certifications from them. Their tutors are clear in explaining concepts and with deep knowledge of the subjects.
Date of experience: November 21, 2024
RH
Transformative Learning Experience with MIT and Great Learning
Enrolling in the No Code AI and Machine Learning: Building Data Science Solutions program has been one of the most rewarding decisions of my professional journey. As someone keen to leverage AI for making data-backed business decisions, this program has exceeded all my expectations. The course structure is impeccable, offering a seamless blend of theory and hands-on practice with "no-code" tools. Each module, from exploring structured and unstructured data to deep learning and computer vision, has been packed with actionable insights and revelations that I’ve been able to apply in my current professional role. The live online sessions, led by highly knowledgeable and approachable instructors, have made complex topics incredibly accessible. The program manager unwavering support and commitment to maintaining the program’s excellence have significantly enhanced my experience. Their proactive communication, attention to detail, and dedication to ensuring that every participant feels valued have been truly commendable. The learning platform is intuitive and efficient, ensuring that I could focus entirely on the content rather than the logistics. The interactive sessions and practical exercises have fostered a deep understanding of the subject matter while keeping the learning experience engaging and enjoyable. This course has not only aligned perfectly with my career aspirations but has also equipped me to lead data science initiatives within my organization confidently. The investment I made in this program is worth every penny, and I am grateful to both Great Learning and MIT for this transformative experience. I highly recommend this program to anyone looking to build industry-relevant AI and data science skills, especially if you're keen on understanding the AI landscape. Thank you, Great Learning and MIT, for creating an experience that inspires and empowers learners to achieve more.
Date of experience: November 20, 2024
JL
Jean Lim
US
Great for ALL types of Learners
This program is very thorough and paced well to help those who aren't familiar with AI/ML/Data Science. It will definitely be a learning curve without that background, but they offer a lot of resources to help you understand the material such as Live classes, articles, and community pages. Everyone leading the program is very kind & clearly wants you to earn the certification by the end. It's reassuring knowing that the learning environment is so encouraging for all types of learners.
Date of experience: November 20, 2024
IO
This is a great place to learn!
Great learning modules and the instructors are grounded in what they teach...
Date of experience: November 20, 2024
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