No Code AI and Machine Learning: Building Data Science Solutions

I took this course to gain some insights into AI without much coding. I had no previous exposure to Machine Learning. This course went beyond my expectations. It exposed me to the different concepts in AI and ML. The accompanying math lectures by MIT faculty provided just the right dose of math to understand the concepts. The mentored learning sessions (MLS) were very informative and the mentor (Denver Dias)  experience in data science enhanced the sessions as he could provide some things on how things work in the industry. I enjoyed the hands on projects as it gave me good exposure on building models to handle real world scenarios.  I highly recommend this course for anyone starting out in AI and ML.

I enrolled in this program looking to build practical AI skills without heavy coding, and it exceeded my expectations. The course brilliantly balances technical depth with accessibility, making complex concepts genuinely understandable.What I loved most:Mathematical Foundations: The program doesn't just teach you to use tools - it ensures you understand the mathematical principles behind AI and machine learning. This foundation transformed how I approach data science problems. Understanding the "why" behind algorithms gave me confidence to make informed decisions rather than just following templates.Mentored Sessions: Absolute game-changer. Having direct access to instructors during mentored sessions provided personalized guidance exactly when I needed it. They helped troubleshoot challenges, clarified complex concepts, and offered real-world context that you can't get from pre-recorded lectures alone.No-Code Tools - KNIME & RapidMiner: The hands-on experience with KNIME and RapidMiner was incredibly valuable. These platforms are powerful yet intuitive, allowing me to build sophisticated AI solutions without getting bogged down in syntax. KNIME's visual workflow interface made it easy to experiment and iterate quickly, while RapidMiner's comprehensive operators gave me flexibility to tackle diverse data science challenges.Program managers involvement: My PM Etiva was super supportive and comprehensive. I’m very glad of having her and the Great Learning team, they’re all doing very well work. Professional Impact: This course equipped me with immediately applicable skills. The combination of theoretical understanding and practical tool mastery means I can now design and implement AI solutions confidently. Whether you're transitioning into data science or enhancing existing skills, this program delivers real value.Instructor Quality: The teaching team clearly has deep industry experience. They present complex topics clearly and are genuinely invested in student success. The balance between challenging coursework and supportive instruction kept me engaged throughout.Course Structure: Well-organized progression from decision systems to deep learning to generative AI. Each project builds on previous knowledge while introducing new concepts. The 12-week timeline is intense but manageable with proper time management.If you want to understand AI fundamentals and gain practical skills using industry-standard no-code platforms, this MIT program is worth every penny. The combination of mathematical rigor, hands-on tools, and mentorship creates a learning experience that's both intellectually satisfying and professionally valuable.Highly recommended for professionals looking to add legitimate AI/ML capabilities to their skillset without a computer science background.

It has been a wonderful experience learning in great learning platform. Both instructor and coordinator are amazing in guiding through the course. I would highly recommend this course.

I recently completed the No Code AI & Machine Learning program, and it exceeded my expectations. The pace of the program is rigorous, and the topics can be challenging, but the faculty guidance along with the mentorship sessions were instrumental in navigating the more difficult material. By the end, I had built a portfolio of three industry-relevant projects that demonstrate practical AI capabilities. If you're serious about learning AI, this program delivers real, applicable skills. Highly recommended!

The MIT no code AI and Machine learning from Great Learning was a great course and intro to AI. It provides a great foundation and clear understanding of AI today and its origins. As predictive and generative AI become prevalent this is fantastic knowledge 

The no-code AI and ML course was extremely detailed and thoughtfully put together. They started with math and stats basics and developed your learning into AI through an amazing set of modules. There are a lot of different ways to learn and engage in the subject matters presented. I highly recommend this course.

This course provided an excellent and practical introduction to No-Code AI tools, clearly demonstrating how platforms like RapidMiner and KNIME can turn complex data into meaningful insights without the need for coding. It effectively bridged the gap between data science concepts and real-world application, making advanced analytics accessible to everyone. The learning materials were concise, hands-on, and well-structured, offering a solid foundation for future AI and machine learning work. Special thanks to Ruchika, my program manager, for her invaluable support, guidance, and encouragement throughout this journey — her dedication made the experience truly rewarding and motivating.

Excellent no-code MIT/Great Learning program: clear ML/AI foundations (regression, clustering, neural nets, CV/NLP, time-series, recommenders) plus prompt engineering. Practical, business-focused.

The No Code AI ML Prodessional Education course has , so far, exceeded my expectations. This course is designed for learners interested in a basic but hands-on introduction to AI and applications in every day business practices. While it does teach statistical modeling it does not require a math heavy or tech background. Understanding basic statistics and business decision modeling is helpful though. It is not too time consuming but plan 6-10 hours per week to maximize the course benefits and gain completion certification. Highly recommend. 

 I recently completed the No Code AI and Machine Learning: Building Data Science Solutions course at MIT, and it was a fantastic experience! The course was well-structured, making complex topics accessible and engaging. The hands-on projects allowed me to immediately apply what I learned, enhancing my understanding and confidence. The instructors were knowledgeable and passionate, creating an inspiring learning environment. This course has deepened my interest in AI, motivating me to explore more in this exciting field. I highly recommend this bootcamp to anyone looking to dive into AI and machine learning! 

Recommended for anyone who want to learn about AI with no programming skills. Program 100% focused on explaining how AI works, what problems are supposed to be solved an how, with hands on assignments on no code tools. 

Juhi is a wonderful teacher assistant, and the course is full of current knowledge taught by experienced instructors.  I highly recommend it.  I took the MIT-AI course.  The course is full of easy-to-understand material, and it is recorded for flexibility.  Assignments are graded and can be completed even for those with busy schedules.

 What I appreciate most about the program is the coherence among its components, as it ensures a well-structured, meaningful, and interconnected learning experience. Through the different modules and projects, I have been able to see how theoretical concepts are effectively applied in practical data workflows. This hands-on experience has deepened my understanding of how Artificial Intelligence and Machine Learning fundamentals interact with real-world problem solving. I particularly value how the program integrates technical skills with analytical thinking, allowing me to connect data processing, model development, and decision-making within a coherent framework that reflects the true interdisciplinary nature of modern data science. Because of this comprehensive and applied approach, I would strongly recommend the program to anyone interested in developing both the conceptual and practical foundations of AI-driven data analysis.

As the Program Lead within the Data Analytics & Engineering team, I was tasked with delivering a POC for one of the business verticals to enhance decision making using actionable insights and optimize resource utilization. I was looking to upskill myself with a learning course that would not only help add value to my role but also gain a holistic perspective on the data science concepts with a touch of AI/ML. As I was exploring different courses, I stumbled upon this course offered by MIT in tandem with Great Learning and when I reviewed the curriculum, it was exactly what I was looking for! 
The course had a well-defined structure with great content that was ably supported by very insightful lectures. The weekly assessments and the project work deadlines helped with effective time management. The Great Learning team was amazing from the start and throughout the course. They were easily approachable and provided all the support, as needed. This made it so much easier for a working mom like me to be able to balance my priorities across family, work, travel, and studying.
The hands-on piece with the no code tools was very important to me since it clearly aligned with my role where I am a primary liaison between the business stakeholders and the IT team. It enhanced my techno functional perspective to translate the business needs with a right balance of the technical aspects without requiring to code. So, if you are someone like me looking to learn and apply the data science and engineering concepts with AI/ML but do not want to code, I would strongly recommend this course!!

This program has been great. The program does a great job of providing the historical context and evolution of current AI. The focus on data analysis and model creation is very informative and a must have for any aspiring data scientist. The projects and portfolio are great resume builders. The faculty and staff are knowledgeable and supportive. Can't recommend the program enough. A must have for those trying to transition into or understand AI better.

⭐️⭐️⭐️⭐️⭐️The No-Code AI and Machine Learning: Building Data Science Solutions course by the prestigious Massachusetts Institute of Technology, delivered through Olympus Great Learning, has been an incredible learning journey!Every module was thoughtfully designed — blending theory, practical examples, and hands-on applications through assignments and quizzes. The structure helped me understand complex AI and ML concepts in an accessible, no-code format, making advanced data science feel achievable for professionals from any background.A huge shout-out to Program Manager Saumya, whose constant support, guidance, and timely communication made the entire experience smooth and motivating. The course tutors and management was flawless, and the support team was always available to help.As we approach the finish line, it’s inspiring to look back on how far we’ve come — from foundational concepts to building real-world AI solutions. This journey has been empowering, and I’m excited to carry this momentum forward to finish strong and apply what I’ve learned in real projects!

I just completed the MIT course on No Code AI and Machine Learning with Great Learning! It was a significant challenge. Early on, the completely new material had me thinking about quitting. But the course structure—from the compelling materials to the hands-on sessions—is phenomenal at keeping you motivated and curious. I kept pushing, and with the incredible support of the faculty and mentors, I learned how to seamlessly process, analyze, and present data using powerful no-code and AI tools. This was a truly amazing and transformative learning journey with Great Learning.

MIT No code AI & Machine Learning from Great Learning is a remarkable journey into the world of AI. It has provides a clear learning path from foundational concepts to hands-on applications. I've been able to explore the major milestones in AI history and grasp core principles that I hadn't understood before. The program also introduced me to powerful new tools I wasn't previously aware of.The course is thoughtfully designed and rich with material, including case studies, projects, and recommended readings. While it was initially challenging to balance the coursework with a busy business and personal life, by time I started to enjoy the process and look forward to more learning. A key benefit for me was understanding how this field has evolved and how the continuous accumulation of different ideas and concepts can lead to groundbreaking developments.The program admin team from Great Learning is very cooperative and supportive. Briefly, it has been a transformative experience that has not only given me new ideas but also the practical tools to cope with and benefit from the dramatic changes that AI is bringing to our businesses and lives.

This program was perfect for a working parent and adult like me. Like so many of my colleagues and peers, I’ve found it difficult to continue my education while juggling a full time job and the requirements of being a single parent. However, this 12-week course easily fit into my schedule, requiring about an hour or so a night in course study and review, plus a relatively small time commitment on the weekends (a couple of hours for live class sessions, plus optional content for hands on training). In addition to standard coursework of reading texts, watching videos, and live classes with your cohort, there are also three projects to be done that I found challenging and highly applicable to my work. Those took some time, but I genuinely enjoyed them!I found the course work highly relevant to the job I currently have and I’m certain it will be beneficial for any future endeavors I embark on. The faculty and staff I interacted with were all attentive and helpful. 5/5, would recommend!

As part of career upgrade planning, I enrolled into MIT Professional education course NCAIML. This was truly a phenomenal course for all this who are serious about learning AI/ML in 4 months of time. The course content, training materials, Weekend online classes, project submission, Instructors were excellent. My Program Manager Twinkle made sure weekly rosters are sent out in advance for a thorough preparation. Course materials cover various topics including - AI Landscape, Structured, Unstructured data, Prediction Methods, Recommendation Systems, Neural networks, Decision Trees, Computer Vision methods. It was an intense course , but it's worth every effort. Thanks to Great Learning team!