Great Learning

Great Learning’s alignment with one of the top universities in data science globally was an easy choice as it offered a tried and tested way of reaching a global audience through a robust working platform for learning interaction and dissemination of information.

Rich recorded content, the super functional dashboard for navigation of course content and tracking course progress, industry relevant case studies and ever eager assistance from back office support teams go a long way in speaking volumes for the professionalism presented. 

Thoroughly enjoyed the journey and highly recommend any aspiring data scientist to embark on their learning journey through Great Learning! Read less

It was my first time attending online classes along with my job, but to my surprise I found it very useful. The professors are very knowledgeable and helpful. They provide two certificates one from great learning and other from UT Austin, both holds high value. Beginners can also benefit from the course and can enhance their skills and confidence. Read less

I am about to complete the No code AI and Machine learning: building data science solution course and I must say the course was quite well structured. I can now understand how AI model works and what are the right parameters to check and the right questions to ask the AI team. What I liked most about the course is the understanding on how domain knowledge has an impact on an AI design. I am looking forward to implement some of these key takeaways in my day to day work life.  Read less

Honestly, I wasn't sure what to expect when I signed up, but this course has been a great experience. The good part? It's built around no-code AI/ML tools, which makes diving into machine learning so much more accessible.  The course is focused on understanding concepts and solving problems, not getting stuck writing code.
The Sunday mentored sessions kept the learning consistent and structured. Having that dedicated weekly touchpoint to discuss, ask questions, and learn with peers really helps you stay engaged throughout the program.
A big shoutout to Mehak Gupta for being such a proactive support. Whenever we got stuck, she was right there to guide us. 
But the real highlights for me were the hands-on sessions and case studies on KNIME and RapidMiner. Working through real scenarios on these platforms made the technical concepts click in a way that theory alone never could. I went from being completely new to these tools to actually feeling confident exploring them independently.
The mix of structured learning, practical walkthroughs, and solid support is what sets this program apart. Highly recommend it for anyone looking to start AI/ML skills development! Read less

Participating in the Applied AI and Data Science Program has been an exceptionally rewarding and insightful experience. The program offered a well-structured and comprehensive introduction to key concepts in artificial intelligence, machine learning, and data analytics, while maintaining a strong focus on practical business applications. I particularly appreciated the quality of the content, the clarity of the instruction, and the relevance of the real-world case studies presented throughout the course. This program has significantly enhanced my understanding of data-driven technologies and strengthened my ability to approach challenges with a more analytical and strategic mindset. Overall, it has been a valuable contribution to my professional development and a meaningful step toward expanding my expertise in the evolving field of AI and data science.  Read less

The No code AI and Machine Learning: Building Data Science Solutions course has been an incredible learning experience. The program gave me a much stronger understanding of how AI and machine learning models are built, how data is prepared, formatted, and how data science solutions can be applied to real-world problems. The instruction was excellent, and the course materials and hands-on labs were engaging, practical, and highly valuable. I highly recommend this program to anyone interested in developing their knowledge of artificial intelligence, machine learning, and data science.


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This AI/ML course has been so helpful in a number of ways. From the fundamentals, to the advanced concepts taught by MIT professors, to the very sharp lectures from the course mentors, who are great specialists and practitioners. Excellent and comprehensive materials and resources, and functional examples that allow you to build skills in a more efficient way. The administrative staff and program managers are very responsive and helpful too, overall a great experience! Read less

I joined this program with the goal of learning the basics of AI and exploring opportunities for a startup.
I was able to learn through comprehensive courses taught by MIT professors and researchers.
The quality of learning is excellent, and the sessions provides a solid foundation in artificial intelligence and machine learning.

My favorite course is “Business Applications of Generative AI,” but we covered all the key areas, including data exploration and analysis,
classification, regression, neural networks, and computer vision. Finally, the “Ethical and Responsible AI” course is a real plus for understanding the real-world impacts and pitfalls to avoid.

The Great Learning team was very efficient and helpful: 

- The Olympus platform is very user-friendly and runs smoothly. Everything went well, and the resources are readily available
- The videos are high-quality, and the playback options are comprehensive
- The mentors were very instructive and patient
- The sessions are live, and multiple time slots are offered, which was a huge help. The videos are also recorded.
- The hands-on sessions allow you to practice and work with tools like KNIME, RapidMiner, n8n, and more.
- The assessed projects allow learners to apply their knowledge to end-to-end business cases.

This program exceeded my expectations, and I would definitely recommend it to my colleagues.

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The MIT Applied AI & Data Science Program was a genuinely valuable experience. The curriculum ramped up thoughtfully; early weeks felt like review, but once we hit ML, deep learning, and generative AI, the content became deeply relevant to my day-to-day work with LLMs. Mentor sessions reinforced the recorded material and the case studies tied concepts to real business problems.
What set this program apart was unequivocally the program management. Samuel Morris, was remarkably patient and flexible — accommodating extensions when life got in the way, surfacing alternative session times when I traveled, and consistently checking in on my progress. That level of support turned an online program into something that actually felt like a cohort. I'd recommend it to anyone balancing a full-time role with serious upskilling in AI/DS. Enlisting in this course was the right call, and I'm deeply grateful to Great Learning and MIT for constructing such a seamless, information-dense whirlwind of a program. Read less

Was quite intense but worth every time and funds invested.  Quite deeper than I anticipated and rich..
Firm exposure to the foundations of data and it's surroundings principles, unto the industry applications and implementation of Ai interventions.... simply a great time learning with Great Learning! Read less

It is an extremely well-structured course curriculum. The scheduling of the classes are conducted timely and the lectures are well-paced. 
Industry experts conducting the mentored sessions on the weekends are well-versed with the curriculum.
To top it all, the program managers are very approachable and prompt with their response making it easier for the learner to navigate the  course.
Highly recommended for people wanting to upskill with a structured guidance.  Read less

I’ve had a fantastic experience with the program. It truly excels at bridging the gap between complex data science theory and real-world professional application. Balancing these rigorous studies with a demanding work schedule could have been overwhelming, but the exceptional support from both the mentors and the management team was a complete game-changer. Their proactive guidance, constant availability, and genuine commitment to my progress ensured that I never fell behind and always stayed on track. I am deeply grateful for this invaluable support system and happy to share my positive feedback. Read less

Took the Applied AI and Data Science program through MIT and Great Learning.  Overall it was an excellent experience.  It was a considerable amount of work with the lectures and cohort meetings with great learning mentors. Challenging work but as someone involved with data science regularly it was hugely beneficial.  Read less

MIT Professional Education's Applied AI and Data Science Program combines theoretical foundations with real-world business applications. It is excellently structured and taught by domain experts who understand practical execution. I would recommend this program to financial professionals looking to deepen their AI knowledge and improve their analytical techniques. Special thanks to the Great Learning team for the flawless delivery and support throughout the program. Read less

Value creating content, experienced lecturers, practical skills delivered through a healthy mix of lectures and practical exercises / business cases.
An intense, well designed and hands on course delivered with a support of technology solution convienient to accomodate the skills and track progress.
Flexibility to manage your daily/weekly effort assured by making recordings from  all classes available on-line for future referrence. Read less

Excellent program. It has taught me in-depth coding, AI, machine learning, and data analysis skills, along with practical tools and real-world applications that I can confidently apply in professional settings. The curriculum is well-structured, combining theory with hands-on projects that reinforce learning and build a strong portfolio.What stood out most was the clarity of instruction and the progressive difficulty, which made complex concepts accessible without oversimplifying them. The support from instructors and the learning community was also incredibly valuable, providing guidance, feedback, and encouragement throughout the journey.I now feel much more confident in my ability to tackle data-driven problems, develop intelligent systems, and continue growing in the field. I would highly recommend this program to anyone serious about advancing their skills in AI, coding, and data analysis. Read less

I recently completed the “MIT Professional Education No Code AI and Machine Learning” program delivered by Great Learning, and overall it was a well-structured and worthwhile learning experience.

One of the strengths of the program was its structure. The pre-work helped build a useful foundation, and the mix of self-paced content with mentored learning sessions made the material easier to follow, especially for topics that can otherwise feel quite technical.

The rigorous structure—including quizzes, projects, and mandatory attendance for mentored sessions—ensured that we stayed on our toes and remained actively engaged throughout the program. A special thanks to our Group Mentor, Mr. Olabode James, for his expertise in helping us grasp difficult concepts, and to our Program Manager, Ms. Saumya, for her constant support throughout this entire learning journey.

The curriculum covers a vast landscape, from Generative AI Foundations to Neural Networks and Recommendation Systems. A tremendous amount of content was packed into these 5 months. Since I retain access to the course materials and recordings, I will certainly be revisiting them to brush up on my knowledge—or as we say in ML terms: Reinforcement Learning.

This program was rich, engaging, and truly challenged the way I look at data, fundamentally changing how I perceive AI. For anyone serious about learning and ready to put in the necessary commitment and effort, please go for it. It will change your perspective entirely.

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This program has been a fantastic learning experience!
It allows you to span from the theoretical concepts to real problems applications. 
Online materials are extremely useful and allow you to review challenging topics even after.
The program  requires commitment throughout the entire journey but It's worth it if you really want to deep dive into the Machine Learning applications and what's really behind AI.
The course Is intense and well structured. The support for any need Is great and always kind.
I highly recommend this program if you really want to start mastering these exciting subjects. Read less

I took the MIT Professional Education's Applied AI and Data Science Program through the Great Learning platform and the experience has been great. The instructors and program managers are super helpful, responsive, and flexible. The online program had the right amount of time commitment, challenges, and learnings I can take to my full time consulting job. Read less

Coming from a technical background, I loved that all classes are live, with weekday sessions being optional. Being able to ask questions in real time directly to the professors helped me deeply understand the concepts. The mentor sessions are highly personalized since they work with small groups. The mentors truly care about your progress, offering practical tips and going into extra depth on any topic if you're struggling. It's perfectly structured, balanced for all levels. The content is perfectly structured and well-balanced; leaving the GenAI module for the end allows beginners to learn Python first. It truly inspires you to keep growing in the field.  Read less