No Code AI and Machine Learning: Building Data Science Solutions

When I began the course, I didn’t know what to expect. I was an AI and machine learning (ML) novice, and I’ve never been particularly tech-savvy. I also didn’t know how it correlated with my work as a healthcare professional working in the nonprofit sector. One of my colleagues recommended I give it a try, and I am so glad I did! The combination of live instruction, recorded sessions, relevant course, material, assessments, and assignments, and incredible program support staff helped me to keep up with the pace and grasp key concepts. Overall, I got much more out of the course than what I anticipated. I strongly recommend this program regardless of level of experience. 

This is an excellent course for anyone wanting to learn the genesis, underpinnings and evolution of Data Science, AI/ML and today's worls of Gen and Agentic AI. Fascinating course with excellent videos from MIT experts, live guidance form Industry Mentors and excellent program management support from the Great Learning Team. The course allows you to choose how much hands on you would like to get based on your preference, while still imparting core concepts, intricacies and application of the world of Data Science. Than you MIT and Great Learning!

This course is an excellent starting point for anyone looking to enter the AI field. My honest recommendation for prospective learners is to be mindful of the time commitment required. I missed a couple of assignments due to a business trip, and it was challenging to catch up, so make sure you balance work, life, and course assignments.
In terms of content, the material and terminology are impressively well curated. However, if you’re not comfortable with math, some concepts may be harder to follow. The assignments and tests are manageable, but they require extra attention—especially during video lectures and mentored learning sessions—to fully grasp the terminology and key ideas.
The faculty are industry experts. Please note that multiple instructors deliver the lectures, so teaching styles vary; it’s helpful to rely on your assigned mentor for consistency and guidance.
Regarding price, I believe the course offers strong value. It is comprehensive and thoughtfully designed. The no‑code tools used are completely free, so there are no extra licensing costs. You are also assigned a Program Manager who can assist with any issues, including platform support. The platform itself is clean, minimalistic, and straightforward to use.
Overall, this course is a great launchpad to catapult your career in Artificial Intelligence from a business perspective.

Great Learning in combination with MIT puts on an amazing No code AI and ML course.  The Great Learning Staff (shout out to Etiva, our program manager) is amazing and very concerned with each student's outcome.  This course focuses on the concepts of ML and AI without the distraction that coding complications can add.  I highly recommend the course to anyone who wants to know more about AI or Machine Learning but doesn't have the time to learn the coding techniques.

The MIT No Code AI and Machine Learning program from Great Learning is a great fit for busy professionals who want to understand the AI landscape without diving into coding. It offers a rich mix of hands-on video tutorials, practical case studies, curated articles, industry insights, assessments, projects, and mentor-led sessions, all supported by clear handouts and content pages. Designed to accommodate different learning styles, the program combines MIT's content with flexible, practical delivery, making it easy to grasp complex AI concepts and immediately apply them to real business challenges.

I recently completed the MIT Great Learning NCAIML program, which I began in mid-August 2025. Over the past three months, I found the course to be both rigorous and rewarding. The curriculum is comprehensive, covering a wide range of AI and ML concepts through video lectures delivered directly by MIT professors with deep expertise in the field.The program requires a significant time commitment — in my experience, at least 1–2 hours daily and 4 hours on weekends, with additional effort needed for projects. While the aggressive timeline can be challenging, it ensures that students stay consistently engaged. At times, I had to revisit lectures multiple times to fully grasp complex concepts, but the mentor sessions at the end of each week provided valuable guidance and clarification.The inclusion of case studies and optional hands-on sessions with AI tools further enriched the learning experience, allowing practical application of theoretical knowledge. The learning portal is well-structured, and the quality of content is excellent.Overall, the program delivers exceptional value through world-class instruction and a packed curriculum. The only drawback is the fast-paced schedule, which may feel demanding for working professionals. Nevertheless, the effort required is matched by the depth of knowledge gained, making it a worthwhile investment for anyone serious about advancing in AI and ML.

I have taken the No Code AI and Machine Learning: Building Data Science Solutions from MIT and Great Learning. It has been a great experience since I got the chance to  improve my analytical skills, while learning more about AI. I feel that this knowledge will definitely differentiate myself as a professional.

Course lead Nandini is very helpful and professional. I was able to get value from the course due to her help. Thank you so much!Course lead Nandini is very helpful and professional. I was able to get value from the course due to her help. Thank you so much!!!!!

Amazing experience trough the No Code AI and Machine Learnig course. Platform and instructor are excellent. The content is very helpfull to understan and apply concepts of AI and Machine Learning in a modern way. For sure I'm improving my professional skills with all above the course.

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.