Great Learning

Very nice experience with all the software support and learning from video lectures and mentor sessions. They are very informative and insightful of real world applications using real world examples and assignments. However they are many other domains in AI such as reinforcement learning, and if they can be included will be better for the completeness of the program Read less

The course helped me to get familiarize with various tools to analyze the data and derive great insights out of it. I applied the learnings from the course  in my day to day work  that helped me to standout. When I learnt how image identification is done using filters It opened me whole new set of ideas that can be applied when designing a new system.  Read less

I have been a lawyer in the life sciences space for almost 30 years.  In the last couple of years, the topic of AI seemed to be a part of every conversation, and it also seemed like no one, including myself, really understood what it meant.  As a lawyer, how can I truly understand the risk and legal implications of AI if I don't understand what it is?  I researched various courses and selected the UT McCombs AI & Machine Learning: Business Applications Program based on the breadth and depth of the Program and the cost. 

It has been hard.  I had never coded and learning Python was very difficult.  I was frustrated most of the time.  Fortunately, Debanwee Ghosh, my Program Manager, was always encouraging and supportive.  Without her, I definitely would have quit.  She has been great about finding resources and she is always soliciting feedback to make the Program stronger and student-centric.  

I really like the Program's learning model.  During the week, you watch videos and take quizzes to learn the theory, and the weekend session is used to apply the theory to an actual business case.  During that same session, students have the opportunity to ask questions and get immediate feedback.  The instructors have been very good.  My only note is that there isn't one single female instructor which seems out of step with the study body composition and industry trends.  

As I approach the end of the Program, I am not only sad that it is wrapping up, but I am also so please that I did it.  I have increased my understanding of AI a thousand percent, and I am confident that I can bring much more value to my work than I did before.  Thank you! Read less

Recently, I completed the Data Science course at MIT Professional Education, and the experience was simply incredible. The course content is of the highest quality, combining well-structured theory with practical examples and real-world cases, making the learning process dynamic and highly applicable.The organization of the course was impeccable, and the staff was always available to answer questions and provide guidance. After completing the program, I feel much more confident in applying the skills I acquired, both in personal projects and in the job market, particularly in areas related to machine learning and data analysis.I highly recommend this course to anyone looking to enhance their knowledge in technology and data science, regardless of their level of experience. It was a choice that, without a doubt, added significant value to my professional development. Read less

Enrolling in the MIT Professional Education - Applied Data Science & Machine Learning program has been a career-defining decision. The program provided a deep dive into machine learning algorithms, deep learning models, and natural language processing (NLP), offering me a comprehensive understanding of the core areas driving modern AI innovations. The hands-on projects were especially valuable, allowing me to apply my learning to real-world AI-driven applications.

The curriculum was not only rigorous but also highly practical, equipping me with the technical skills required to excel in a rapidly evolving industry. The instructors were incredibly knowledgeable and provided consistent support throughout the program, ensuring I never felt lost—even when tackling complex concepts.

This program has significantly shaped my career outlook, instilling the confidence and expertise to pursue new opportunities in AI and machine learning. If you're looking to elevate your skills and embark on a career in this dynamic field, I highly recommend this program. It offers the knowledge, tools, and support necessary to succeed. Read less

The MIT Applied Data Science program greatly helped me advance my career and acquire the practical knowledge necessary to progress to the next step. The material is accessible and engaging (the lectures are amazing!). They will give you enough background to get up to speed. I was unsure if I could complete the work while having a full-time job and family responsibilities, but the course does give you enough time to absorb the material.  Plus, my boss will help me reclassify as a data scientist for my role at work. Thanks to all the mentors, professors, and program managers - it really was an excellent experience!  I am grateful! Read less

I am halfway through completing the “No Code AI and Machine Learning” course offered by MIT in collaboration with Great Learning. This program has been an exceptional experience, and I strongly recommend it to aspiring data analysts and learners. The mentorship provided by MIT faculty and Great Learning representatives is highly supportive, ensuring that every concept and aspect of the curriculum is well understood. The course is meticulously structured, with significant efforts from the Great Learning team, making it both engaging and effective.
I would like to extend my gratitude to Runchika for her unwavering support and dedication. Her assistance has been instrumental in making the learning process seamless. 
The program covers theoretical foundations, mathematical concepts, and practical business use cases, which has significantly boosted my confidence in pursuing a career in the fields of Data Science and AI. Read less

Studying the No Code AI and Machine Learning: Building Data Science Solutions program by MIT Professional Education via Great Learning has been an exceptional and transformative journey. From the very start, I was excited to dive into the world of AI and machine learning, and this program did not disappoint.

I've had the opportunity to learn the machine learning algorithms - Decision Tree, Random Forest, ANN, etc. and their applications across various sectors. The hands-on projects were particularly impactful, as they allowed me to create workflows from scratch. This practical experience enabled me to understand how to adjust hyperparameters to improve the performance of prediction models.

Great Learning's platform provided a vibrant discussion forum and connected us through learning groups. These interactions allowed us to share our insights and perspectives on the topics covered, fostering a collaborative and engaging learning environment.

This journey has been nothing short of amazing, and I am immensely glad to be a part of it. Cheers to many more learning adventures ahead! Read less

Having just finished the Applied Data Science Program from MIT Professional Education, I can say with certainty that this has been a standout educational investment. The curriculum design brilliantly balances core fundamentals in Python and statistics with cutting-edge machine learning concepts, creating a perfect learning progression.

The faculty quality is outstanding. The MIT instructors demonstrated exceptional skill in making complex subjects digestible without sacrificing academic depth. I particularly enjoyed the interactive nature of the live virtual sessions, which made challenging concepts in areas like neural networks and recommendation engines both approachable and practical.

One of the program's greatest strengths is its practical focus. Rather than drowning in theory, we were constantly applying our knowledge to real-world scenarios. The three-week capstone project was particularly enlightening, letting me put into practice everything from initial data analysis to sophisticated machine learning techniques on genuine business challenges. I was impressed by how current the material is, including modules on ChatGPT and Generative AI.

The learning support exceeded my expectations. The industry mentors brought real-world context to our learning, while our dedicated Program Manager provided consistent guidance and encouragement throughout the journey. The program's "low code" philosophy was especially effective, ensuring the material was accessible without sacrificing comprehensive understanding.

I found the program particularly strong in bridging theoretical knowledge with practical application, with its Python-focused approach to data science being especially valuable. The combination of live sessions, hands-on projects, and expert guidance created an engaging and effective learning environment.

Whether you're pivoting into data science or building on existing expertise, this program delivers exceptional value through its thorough curriculum, expert instruction, and focus on practical skills. While the MIT Professional Education certificate and 16.0 CEUs are great credentials, the true value lies in the comprehensive skill set and confidence you develop throughout this thoughtfully designed program. Read less

I'm currently taking the PG course in AI & Machine Learning offered by the University of Texas at Austin and Great Learning, and it's been an amazing experience! The lessons are well-structured, starting from the basics and progressing to more advanced topics like neural networks. The hands-on projects are incredibly engaging, and they help reinforce what I'm learning. The instructors explain even complex ideas clearly, making it easy to follow along. The community and support resources (especially AI mentor for project support and interview preparation) are also excellent. I'm excited to keep going and apply these skills in real-world scenarios! Read less

Having completed courses in Data Mining and Data Science in the past, I enrolled in the Applied Data Science Program (ADSP) as a refresher. This program was essential for achieving my goals and reigniting my passion for data science. The well-structured curriculum and challenging nature motivated me to dedicate my weekends to producing high-quality work. I particularly valued the courses on Deep Learning and Introduction to Artificial Intelligence. 

The support from the Program Manager and mentors fostered a strong sense of community. Their quick responses and helpful resources empowered me to strive for innovative, real-world solutions. 

Additionally, collaborating with my teammates during mentor sessions allowed us to share our experiences and concerns openly, enhancing our learning journey. Read less

I recently completed the “Data Science and AI” course on Great Learning, and it was a fantastic experience. The course offered a well-structured curriculum, covering key concepts in data science, machine learning, and artificial intelligence with practical applications. The instructors were highly knowledgeable and made complex topics easy to grasp. The platform provided interactive learning through hands-on assignments, quizzes, and real-world case studies, which greatly enhanced my understanding. Overall, it was an excellent learning journey, and I feel well-equipped to apply these skills in my career. I highly recommend this course to anyone looking to advance in the field of data science and AI. Read less

This course provides an excellent blend of foundational concepts and advanced topics, making it ideal for both beginners and those seeking to deepen their expertise in AI and Machine Learning including Model Preparation, Performance Evaluation & Selection, Neural Networks, Generative AI, and Prompt Engineering. Highly recommend it to anyone looking to build or advance their skills in this exciting field! Read less

One of the best courses I’ve ever taken with #MITProfessionalEducation! 

Packed with amazing study materials, tons of case studies, and hands-on projects, it was no walk in the park, but worth it. 

Sure, it kept me on my toes with all the self-study, but I felt like I’d leveled up big time by the end. 

Now, I’ve got a solid AI and Machine Learning toolkit, a game-changer for anyone working on digital products! Read less

I'm enrolled in the Set24/Jan25 MIT-IDSS program: Making Data-Driven Decisions, delivered by GreatLearning. On December 23rd, 2024, I submitted my final mandatory requirement for the program.
This has been, by far, the best online educational experience I've had. I've rated it 5 stars for numerous reasons, and I'd like to highlight a few key aspects.
1-) The program's support system exceeded my expectations. The assigned Student Program Manager was exceptionally helpful, ensuring all student queries were addressed effectively and promptly, not just mine. This was a major contributor to making my experience so remarkable.
2-) In addition to the Students' Program Manager support system, I'd like to mention the Program Syllabus, a well-crafted blend of depth, breadth, and practical relevance.
3-) Extra study material available in various forms and media that I can continue to use for years after finishing the program.
4-) The mentored learning sessions offered a unique opportunity to see the practical application of theory and best practices in real-world scenarios.
5-) The course's online platform (Dashboard, Help, etc.) seamlessly integrated me into the learning experience and ensured I was aware of each step of the learning process ahead of time.
6-) The total availability of the teaching staff to connect with us beyond the course platform, on their own personal time and social media accounts of choice, is something I can't stress enough. Thank you all!

After going through these last 4 months of the program I gained a solid framework for continued self-development by exploring the wealth of available materials, as well as the confidence, and proof, that I'm not alone should I require any additional help henceforth applying the new skills and knowledge in my work. This has been a transformational experience all around, for me.

Since this is how GreatLearning sets things up and runs each of its course offerings, I would highly recommend anyone meeting the requirements to take the program that best matches their interests and go for it, because it's an investment well worth your money, time, and expectations. Read less

Data Science and Machine Learning: Making Data-Driven Decisions has been everything you need to grow. Its complete and thorough curriculum will demand a keen eye for detail and dedication with the reward of building your own portfolio as you learn and sharpen the concepts learned. Being able to integrate so much information is also great for the confidence in the courses studied and the faculty is without doubt full of experts that will help you expand your knowledge beyond anything expected. My best advise is to organize the time for the course so that the learning becomes fun. This course challenges you to outgrow yourself and gives you the best tools to do so, very grateful for this experience. 
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I recently completed “No Code AI and Machine Learning: Building Data Science Solutions” from MIT faculty in collaboration with Great Learning. The unique no-code approach empowered me to build ML and AI models without deep programming expertise, while the curriculum and mentored sessions were extremely insightful. I especially valued the GenAI project analyzing restaurant feedback to uncover sentiment and improvement areas. Computer Vision stood out as a favorite chapter, showcasing how image-based intelligence is transforming various fields like healthcare and robotics. Together with GenAI, these technologies are increasingly vital, driving accessible innovation and deeper data-driven insights in today’s rapidly evolving world! Thank you for the great content and the support throughout the duration of the course! Read less

The MIT course No Code AI and Machine Learning: Building Data Science Solutions has been an incredibly rewarding experience. The program is carefully designed, with clear structure and excellent instruction from both MIT faculty and industry professionals. The materials, interactive sessions, and hands-on projects were all highly engaging and effective. A major highlight was the personalized support provided by an assigned program manager. I’m especially grateful to Mehak Gupta for her guidance and encouragement throughout the program.This course dives deep into practical applications of machine learning and AI, offering valuable insights into how these tools can solve real-world problems. I found the modules on deep learning, neural networks, and generative AI particularly fascinating, especially as they applied to complex datasets and case studies. The hands-on projects brought theory to life and demonstrated how these concepts can be used in both business and academic settings. For anyone looking to expand their knowledge of data science and apply machine learning effectively, this course is an excellent choice. Read less