Great Learning

This course is a fantastic resource for anyone exploring AI and machine learning without coding.

What I loved:

Comprehensive: It covers various topics, from basics to practical applications.
Practical: It's packed with examples, projects, and assignments that give you hands-on experience building real-world solutions.
Expert Instructors: The team, including Ms. Ruchika and Prof. Munther, are knowledgeable and engaging.
Ms. Ruchika's program management and Prof. Munther's expertise made the course run smoothly and the content easy to understand.

I highly recommend this course to anyone curious about AI and ML who wants to learn how to build solutions without coding. Read less

Though I was aware about Data Science / AI/ML but I was looking to study formally the Data Science and Machine Learning from reputed institute/faculty. After thorough search & deliberation, I found & joined "Data Science and Machine Learning: Making Data-Driven Decisions" course by MIT IDSS. I had enrolled in the same in May, 2024 and course is expected to be finished by 14-Sep-2024. I thoroughly enjoyed this learning. One thing is sure, I would have not learnt so much myself, if I had not enrolled in this course.
Would recommend learners to join if they are serious about learning &  committed about the same! Best wishes!  Read less

I really enjoy learning through Great Learning. The program is structured in a way that makes it easy for the learner to understand. The most helpful parts of the program are the video lectures, quizzes, hands on videos, assessment projects and the online class meetings. All of these features allowed me to learn more about key concepts in Data Science, AI, Machine Learning and Statistics. The program manager and instructors are also very helpful as well. They clear up any questions during the learning process. I would definitely recommend choosing this program!  Read less

I recently completed the Applied Data Science program offered by Great Learning in collaboration with MIT, and I couldn't be more satisfied with my experience. The curriculum was meticulously designed, combining theoretical concepts with practical applications that are directly relevant to today’s data-driven industries.

The faculty, comprised of seasoned professionals and experts, provided invaluable insights and mentorship throughout the course. The hands-on projects allowed me to apply my learning in real-world scenarios, enhancing my understanding and skills in data analysis, machine learning, and big data technologies.

Networking opportunities with fellow students and industry leaders were a highlight, fostering connections that I know will benefit my career long after the program ends. 

Overall, this program has equipped me with the knowledge and confidence to tackle complex data challenges, and I would highly recommend it to anyone looking to advance their career in data science. Read less

The Code/ No Code course on the Great Learning platform was an exceptional experience. Though it requires 6 to 8 hours of learning, the team is wonderful and provides the time required to keep up with the learning. They are very proactive in ensuring that your learning needs are being met. The instructors are available and provide guidance to learn and complete the assignments. The hands-on practical approach helps understand the concepts in detail and practical implementation.  Read less

If you are looking for an exciting learning experience in the technologies of Artificial Intelligence and need to understand the concepts, apply them to real world examples and be able to interpret the results while providing informed recommendations and risk assessment of these technologies, the “No Code AI and Machine Learning” course is the one to choose. It is not hat important the background in Computer Science or in Mathematics, because the tools do the heavy processing for you. However, this course is also aimed to seasoned programmers and Data Scientist because it shows how to profit the no code tools and save programming time and effort. In other words, it allows students -both with or without background- to quickly get results and reports that can be further shared to business executives.

The “No Code AI and Machine Learning” course provides just the needed theory to understand the concepts behind the Data Science, Machine Learning and Artificial Intelligence concepts and combines them with hands-on exercises that consolidate these concepts, allowing to put what was learned into immediate applications. I wish I have studied this course before, it would have saved me countless hours of Python programming.

The instructors are super knowledgeable and they, despite the limitations of the on-line format, drive the learning experience in a way that it is pleasurable, dynamic and fun. It is guaranteed that you will not get bored! Read less

MIT No Code AIML is great course for senior leaders who wants hands on experience AI, Machine Learning, understanding LLMs and Prompt Engineering. 
Course Content: This course gave me foundational level to advanced level Machine Learning models theory and practice. The newly included modules on Large Language Models and Prompt Engineering introduced to the latest developments in AI. 
Course Delivery: The course covers all the topics with MIT Professors Lectures which will provide very good understanding of all AIML concepts. 
Great Learning provides weekend reviews on the course topics with industry experts and go through the Lab Practices. This will enforce and enhance our learning and prepare for weekly evaluations. 
Great Learning Platform: It is a great learning platform I ever used. The platform delivers all the course content in very organized way. It tells me what to read, what to accomplish every week. Very easy to navigate course modules. It provides all in one platform features. It prompts me always what is happening and what I need to do. Great platform. 
Program team: I can’t expect better program management team than this team. They have a good introductory Kick Off session to explain about whole program and we can be successful in learning and completing the program. Always good follow ups and reminders by great staff to students what to learn, when to attend the classes and when to finish the evaluations. They created a group to share ideas and ask questions to help each other. Whenever we need help from Program Manager, we always got help immediately. 
Finally, I sincerely appreciate and commend all the efforts by Great Learning and MIT team for making this wonderful course available to AI Knowledge seekers. 


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I'm Ronald Garcia, working in the manufacturing industry, specifically in apparel and fashion. As someone responsible for combining forecasting, inventory, and production, I've always been fascinated by data science and its potential to drive business decisions. This led me to enroll in the "Data Science and Machine Learning: Making Data-Driven Decisions" program, which has become one of the best experiences of my life.

The program is designed for professionals aiming to enter the field of data science, including machine learning, deep learning, and recommendation systems, or those seeking career development opportunities, or simply looking to provide more valuable insights to their company. I can attest that this program teaches you to harness data in new and innovative ways.

This comprehensive education in data science covers topics such as Python programming, machine learning algorithms, and data visualization. What I found particularly valuable was the opportunity to work on real-world projects, applying the new skills I learned. Each module offers optional material for deeper learning and real project examples executed using Python. Working on these projects has helped me build a strong portfolio and gain practical experience.

One of the biggest challenges I faced was balancing my studies on the Great Learning platform with my personal life, church, family, and work responsibilities. The program demanded long hours of coding and studying, but the knowledge gained was so valuable that it kept me dedicated and focused on my goals. Investing in this program is one of the best decisions I've made in my life to add more value to my professional career and skills.

The support system and team offered by Great Learning are outstanding. The nurturing environment of this program was instrumental in my success, offering both technical guidance and emotional support.

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This course serves as an exceptional foundation for those pursuing careers in data science and machine learning. It offers a comprehensive learning experience through a combination of well-curated reference materials, insightful video lectures from industry experts and professors, weekly mentoring sessions, engaging case studies, and practical real-world projects. These elements work together to provide students with the knowledge, skills, and hands-on experience necessary to excel in these fields. Read less

The learning experience at Great Learning is unparalleled. The instructors are highly knowledgeable and the curriculum is both comprehensive and practical. The weekly mentorship sessions and hands-on projects helped me apply what I learned in real-world scenarios. I highly recommend Great Learning to anyone looking to advance their career with quality education. Read less

Excellent staff and curriculum. I highly recommend. It was three months long. I have a full-time job while I was attending this program. 
 Excellent staff and curriculum. I highly recommend. It was three months long. I have a full-time job while I was attending this program. 
 Excellent staff and curriculum. I highly recommend. It was three months long. I have a full-time job while I was attending this program.  Read less

 I'm a newly arrived immigrant to the U.S., having been here for six months, and my last class was ten years ago. It was the first time I had been exposed to coding, so I struggled with Python's syntax and errors at the beginning of the course. However, with the guidance of the Program's experienced industry mentors and MIT professors, I gradually became accustomed to coding. I am much more comfortable coding and fixing errors as the course ends. I can handle complex projects, including electives and capstones, and even participate in hackathon competitions. 

Even though I don't rank high among other learners, the hackathons have allowed me to identify my shortcomings. Since then, I have continued to sharpen my algorithms and coding skills. I am incredibly thankful for this Program, and one of the most important points I want to highlight is the excellent support from the program managers. The practical support helped me and other learners overcome many difficulties throughout this journey. 

My determination to become a professional developer in the tech industry has only grown stronger through this course. The foundational knowledge I've gained here will be the bedrock on which I'll continue to build my skill set. I am deeply grateful for this Program and consider it a significant milestone in my journey toward becoming a professional developer. Thank the Program and the Program Manager for the invaluable support. 

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The journey through this course has been an exceptional learning experience. The instructor provided a range of resources, including materials, quizzes, handouts, and projects, all designed to enhance our understanding of the subject. The program boasts high-quality content, expertly delivered by skilled trainers, with step-by-step use cases that make the methods clear and comprehensible.
My mentor, Vineet Mishra, was instrumental in communicating program updates, addressing questions and concerns, and offering support at every stage. His readiness to provide additional clarifications throughout the program was greatly appreciated.
Overall, this online learning experience is both enriching and empowering, equipping students with the skills and knowledge needed to excel in the data science field. It effectively combines theoretical insights with practical applications, making it an invaluable resource for anyone looking to leverage data and machine learning in their professional career. 
I strongly recommend the MIT-IDSS Data Science & Machine Learning course to anyone looking to leverage data in innovative and transformative ways. Read less

 I am delighted to share my exceptional experience with the Great Learnings - No CODE AI and Machine learning curriculum which i undertook and am happy to share that this has been a great learning experience, akin to the name of the learning platform. I was quite reticent to join this initially due to lack of previous knowledge in this sphere but at the end i can conclude this program has exceeded all my expectations, offering an educational journey that is both comprehensive and inspiring.  The curriculum is meticulously designed, showcasing a perfect blend of theoretical knowledge and practical application. Each module is thoughtfully structured, guiding students through progressively complex concepts The integration of diverse learning materials, including interactive modules, Assessment modules, Project studies, and real-world scenarios, enriches the learning experience and fosters deep understanding.
A special note of thanks to my Program Coordinator- Ms Ruchika Jain who has been a cornerstone of this program's success for me. Her dedication, professionalism, and genuine passion for student success are evident in every aspect of the program. Ruckika is incredibly approachable, consistently providing timely and insightful feedback and supporting whenever I needed it. All this while very professional and composed. Her ability to anticipate and address potential challenges before they arise speaks volumes about her professionalism and commitment.  She constantly leveraged proactive approach to fostering a supportive learning environment and created a community where participants of the Course felt encouraged to collaborate, share ideas, and grow together. She also demonstrates exceptional organizational skills, ensuring that all administrative aspects run smoothly and that students have access to the resources they need. Read less

Overall, this course is a well-rounded program that balances theoretical learning with practical application. The structured approach, combined with industry insights and hands-on practice, makes it a valuable investment for learners seeking to deepen their understanding and skills in AI Landscape, Data Exploration - Structured Data, Prediction Methods - Regression, Decision System, Data Exploration, Unstructured Data, Recommendation System, Data Exploration - Temporal Data, Prediction Methods - Deep Learning and Neural Networks, Computer Vision Models and Generative AI. Read less

This MIT course was nothing short of exceptional. It provided an in-depth exploration of the no-code AI and machine learning landscape, making complex concepts accessible and empowering even those without coding experience.The content was thoughtfully curated and presented. It struck the perfect balance between theoretical knowledge and practical application, equipping us with the skills to build real-world data science solutions.The teaching staff were experts in their field and passionate educators. They fostered an engaging learning environment where questions were encouraged and complex topics were broken down into easily understandable chunks.The mentors were incredibly supportive, offering guidance and personalized feedback throughout the course. Their insights were invaluable in helping us refine our projects and solidify our understanding of the material.Overall, I highly recommend this course to anyone looking to dive into the world of no-code AI and machine learning. It's a fantastic opportunity to learn from some of the best in the field and gain the skills to build impactful data-driven solutions. Read less

The MIT professors are as helpful as they are brilliant. The pace of each class is perfect for following along while working hands-on with the tools. The class is filled with people from around the globe and with varying backgrounds. It is an interesting class and I am extremely pleased with the content. The assessments cover the class material with no surprises, and the projects are relevant in today’s  world. Well worth it! Read less

Participating in the No-Code AI and Machine Learning program has been an incredible experience. One of the primary advantages of the program is its suitability for both beginners and those looking to deepen and further sophisticate their knowledge in this field. The program’s structure offers a valuable opportunity to understand how to apply data science and AI tools to real-world scenarios, guided by professors who possess a profound understanding of practical applications. Additionally, I must emphasize the instructors’ remarkable patience in addressing doubts and thoroughly explaining concepts, ensuring that the knowledge is effectively passed on. Lastly, the support team’s continuous follow-up throughout my journey has been very supportive. Their assistance has kept me on track, ensuring that I remain aware of my progress and do not miss any content or deadlines. Read less

The No-Code AI and Machine Learning course on the Great Learning platform exceeded my expectations. Taught by MIT faculty and supported by knowledgeable Great Learning instructors, the content is highly relevant. The mentoring sessions are clear, interactive, and fostered a strong sense of community.



The flexible class schedule easily fit into my busy life, and the support staff is accommodating throughout the program. The industry-standard AI/ML tools used in projects were particularly impressive. Overall, I highly recommend this course to anyone looking to build a solid foundation in AI/Machine Learning. Read less

I recently completed Great Learning's AI/ML program and I'm so glad I did! The instructors were incredibly knowledgeable and the coursework was well-structured. I particularly enjoyed the hands-on projects, which allowed me to apply my learning to real-world situations. This program has definitely boosted my confidence in my AI/ML skills.I highly recommend for the newbies who want to switch in their careers  Read less