Great Learning
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No Code AI from Great Learning/MIT - Experience
My motivation for enrolling in this course is to gain hands-on exposure to "No Code AI" tools and techniques, enabling me to effectively apply them in my upcoming data engineering projects. Thus far, I’ve had positive experiences learning tools like RapidMinor and KNIME, as well as techniques for building ML models in various scenarios. The course structure is well-suited to my learning style, consisting of pre-recorded video sessions that can be completed at my own pace throughout the week, along with a two-hour mentored learning session and a two-hour hands-on session on the weekend. The pre-recorded videos, delivered by esteemed professors from MIT, effectively convey the core concepts and theory behind the weekly topics. These videos are concise and clear, making them easy to follow, especially for someone with a background in mathematics. The mentored learning session addresses any questions that arise from the video content, while the hands-on session allows for deeper exploration of the tools used in modeling and problem-solving. This blend of self-paced learning and interactive support is, to me, an efficient way of mastering AI/ML using the NO Code approach. Great Learning has done an excellent job in facilitating this comprehensive learning experience