No Code AI and Machine Learning: Building Data Science Solutions Reviews

I love how Olympus Great Learning structured the program on AI/ML Locode/Nocode. They really thought this through properly, incorporating the theory and math behind each of the AI data modeling, which is helpful in understanding the why behind the results. The pace is definitely rigid and fast, and as a student, you have to keep up. There are a lot of examples and a mentored support system to help you in your journey.

I’m currently enrolled in the No-Code AI and Machine Learning program with Great Learning, and I’ve had a very positive experience so far. What stood out to me the most is how well-structured and organized the program is. The platform makes it easy to go back and review past materials, whether it’s installation guidelines or other key resources. Each course is thoughtfully designed to help reinforce your understanding as you progress, which I really appreciated.Another strength of the program is its flexibility. You can choose to focus on the hands-on tools or dive deeper into the business interpretation of the problems, depending on your interests and learning goals. This made it feel very adaptable to different learning styles.The hands-on sessions have been particularly helpful, and the instructors show a lot of patience, especially when revisiting basic topics to ensure everyone is on the same page. Their commitment to supporting all learners, regardless of background, really stood out.This program has been a valuable step in my learning journey, and I’m confident it will have a lasting impact on my professional growth. I highly recommend it to anyone looking to get started in AI and machine learning without a coding background.

This course provides an excellent introduction to AI and ML, covering fundamental principles, real-world applications, and future trends. It also introduces No-Code tools, allowing learners to start building AI and ML solutions without requiring coding expertise. The instructors are industry leaders, the staff is supportive, and the program is structured at a manageable pace, ... even for working professionals.

Prior to enrolling in the NC AI & Machine Learning program offered by Great Learning and MIT, I had taken other online courses on the subjects. However, my experience has been that the Great Learning and MIT is far superior. The curriculum is comprehensive and expertly selected. Moreover, the material is current. (AI is changing so quickly that some other courses I took or sampled were already outdated. The online lectures are of a surpassingly high quality. Moreover, the live teaching sessions and the support have been great. I am deferring rating the job assistance, as I have not used those resources. Overall, I would give this program my highest recommendation. It has been excellent in terms of academic quality and also at teaching up-to-the-minute technical skills in AI and ML.

My journey thru NCAI&ML with “MIT-Great Learning”, has been above and beyond what I expected. Highlighting, my programming and computer skills were average, had my doubts if should invest into it. Now at the middle of the course and looking back, it has been the best decision and investments.
a)        Professors. – Their learning technics, guides, and explanations, along with their professional skills and in-depth knowledge of their specific topics, make it very easy. I´d also like to highlight the support of the mentors and the weekly discussions as pillars of success. The group where we can share questions, learnings, and concerns enrich it considerably.b)        Modules. - The structure in which the modules were pit together takes you by the hand, giving you a full understanding on what is really happening, understanding the whys and interpret the information in a logical and measurable way.c)        Tools. - The practicality, versatility, and use options of the tools used to create models, combined with the large amount of case studies provided, dramatically strengthen knowledge, as they provide a complete understanding of the whys and wherefores.d)        Rythm. - This course set the pace, providing necessary discipline tools require to achieve weekly goals, explaining the time required, objectives set, and reinforcing your level of learning and understanding thru exams.

Having studied at MIT Sloan the applications of AI and its implications for business strategy, I was looking for a training program focused on being able to conceptualize and implement these applications, i.e., with which I could move from theory to practice. I have certainly found it. I think this program is masterfully synthesized and I would highlight as of great value its mentoring sessions at the end of each course.

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.

As someone who is deeply interested in transitioning into the field of AI and machine learning programs. Great Learning/MIT AI, Machine Learning and No Code program is providing an accessible entry point for professionals seeking to understand the fundamentals of AI without extensive programming experience. This program offers accessibility & practical applications, and also provides depth & theoretical understanding. 

The NO Code AI Course and Applied Data Science program have been a truly transformative experience, exceeding my expectations in depth, quality, and applicability. As a Ph.D. student in Civil Engineering, I have always been passionate about integrating cutting-edge technology into my field, and this program has provided me with the perfect opportunity to do so.Through this course, thanks to God, I have gained incredible insights and developed groundbreaking ideas for new scientific achievements. The structured curriculum, blending theoretical depth with practical applications, has inspired me to explore innovative AI-driven solutions for Civil Engineering. The knowledge I acquired in Large Language Models (LLMs), Deep Learning (DL), AI-based decision systems, classification models, SMS spam detection, statistics, and predictive modeling has given me a strong foundation to push the boundaries of my research and professional aspirations.One of the most valuable aspects of this course has been the supportive and collaborative environment. The mentorship and guidance provided by the team, especially Madhur, have been truly exceptional. His constant motivation and the faculty’s expertise have encouraged me to go beyond my limits and confidently apply AI in ways I had never imagined. I deeply respect and appreciate the efforts of the Great Learning team, who have been open to every question, discussion, and collaboration, always ready to provide help and insight.Moreover, this program has given me a comprehensive skill set in AI tools, allowing me to develop innovative applications for smart infrastructure, predictive analytics, and automation in Civil Engineering. The perfect blend of structured learning, hands-on practice, and high-level expertise has strengthened my ability to make meaningful contributions to both AI and Civil Engineering.Moving forward, I am excited to collaborate with the Great Learning team and leverage AI for groundbreaking advancements in my field. Their openness to help, share knowledge, and foster new ideas makes this journey even more inspiring. I am deeply grateful for the guidance, mentorship, and the unparalleled support that this program offers.I highly recommend this program to anyone looking to gain expertise in AI, even without prior coding knowledge. It has not only provided me with exceptional learning opportunities but has also empowered me to contribute to the future of AI-driven innovation in my research and beyond.

The "No Code AI and Machine Learning: Building Data Science Solutions" course by MIT Professional Education was a fantastic learning experience. The content was perfectly balanced – neither too difficult nor too simple – and presented in a clear, structured format.
A special thanks to our Program Manager Ruchika Jain, who was always available for support, and of course our Weekend Mentor Ali Asghar Marvi, who made the mentored learning sessions truly valuable, answering all our questions! I really liked the MLS on the weekend where I had the possibility to ask questions. I really prefer asking, instead of opening up tickets so this was great and somehow gave me an on-site-feeling.
With the hands-on case studies and interactive exercises, I really was able to apply what I learned. The combination of a well-designed curriculum and excellent guidance makes this course an ideal choice for anyone looking to gain expertise in No-Code AI & Machine Learning!Hope to see you guys again in one of the next courses ;)

I had an exceptional experience with Great Learning's program: MIT Professional Education's "No Code AI and Machine Learning". The courses covered the main concepts of supervised and unsupervised Machine Learning and technical heuristics and designs leading to Generative Artificial Intelligence. The Professors and Mentors were very well-versed experts in subject matter and the knowledge transfer was incredibly designed and effective. I walked away with a refreshing desire to learn everything about Machine Learning and Artificial Intelligence. One could use the hands-on tools and instructions to build the models as well as understand the engineering and theoretical principals. Overall, my learning was a tremendous experience, and I look will look to Great Learning for future learning and development opportunities.

MIT Professional Education's "No Code AI and Machine Learning" course perfectly bridges the gap between complex AI concepts and practical implementation for non-programmers. The program expertly balances theoretical knowledge with hands-on application, allowing students to build impressive predictive models without writing code.The well-structured curriculum features relevant case studies and excellent instructor support. This course is valuable because it empowers professionals from diverse backgrounds to join the AI revolution. For anyone wanting to leverage data science capabilities without programming expertise, this course delivers exceptional value and opens new career pathways in the growing no-code space.

I recently completed the 12-week No Code AI & Machine Learning course, designed by MIT Professional Education and expertly delivered by Great Learning, and I must say it was an outstanding experience!The course structure was well-paced and thoughtfully designed, making complex AI and machine learning concepts accessible even for those without prior coding experience. The learning materials were top-notch, blending theoretical insights with hands-on applications, ensuring a deep and practical understanding of AI-driven solutions.One of the highlights of the course was the mentored sessions. The instructors and mentors did an excellent job reinforcing key concepts while encouraging deeper exploration through discussions and real-world examples. Their guidance helped bridge the gap between theory and practical implementation, making the learning journey both engaging and rewarding.Whether you're a beginner looking to break into AI or a professional seeking to leverage AI without coding expertise, this course is a fantastic investment. I highly recommend it to anyone looking to build data science solutions efficiently and effectively with No Code AI.Thank you to MIT Professional Education and Great Learning for a truly enriching experience!