Great Learning

The Applied Al and Data Science program was exceptionally well structured and comprehensive, delivering a deep and thoughtfully designed learning experience. The sessions led by MIT professors were particularly valuable, as they helped me understand the... Read More origins of key concepts and build strong theoretical foundations, while the weekend classes complemented this by offering detailed explanations, practical insights, and thorough coverage of every concept along with dedicated time to address all questions. Overall, the program provided excellent exposure to data science topics, Python, and Al models through a rich mix of quizzes and hands-on projects. Although the program was intensive and required dedicated weekly effort, it was highly rewarding. My motivation and ability to stay on track were greatly supported by my program coordinator, Karandeep, whose consistent guidance, prompt responses to questions, and help with program management made a significant difference. Completing the program would have been far more challenging without his support-thank you for an outstanding learning experience.

Finishing up the Applied AI and Data Science program with Great Learning and MIT Professional Education has been a massive journey. Looking back on the last 6 months, it’s been one of the most challenging yet rewarding things I’ve tackled.

> The Curriculum... Read More & Learning Experience

The course load is seriously detailed. For someone coming in without a deep background in data science, the modules can feel a bit overwhelming at first glance. However, the way the content is structured actually makes sense. The live lectures lay the groundwork, and the tutorials and practice content do a great job of reinforcing those concepts. I found the hands-on practice was what really helped the info stick.

> The Wins (Pros)

- Top-Tier Faculty: Having lectures from MIT faculty was a standout. The sessions were engaging and stayed relevant to how AI is actually being used today, rather than just being stuck in theory.

- Solid Support: The program coordinators were brilliant. They were genuinely considerate and always there to help navigate the logistics of the course. Responses were generally quick, considering the time zone differences.

Clarity: Despite the complexity of the topics, the curriculum was clear enough to follow if you put in the time.

> The Challenges (Cons)

The biggest hurdle for me was the time zone difference. Being outside North America, I initially thought I had to attend every live session to avoid being penalised on attendance. This led to a lot of extremely early mornings—sitting through lectures at 1:30 AM to 3:30 AM was pretty brutal. I eventually realised that watching the recordings also counted toward my attendance, but by then, I’d already lost a fair bit of sleep! I will say the opportunity to ask questions in real time is probably worthwhile tradeoff in some cases.

> Final Verdict

If you’re keen to dive into AI, this program is excellent, but my advice for future students in non-North America-friendly time zone is to lean on those recordings early on. It’s a steep learning curve, but the support and the quality of the MIT teaching make it well worth the effort.

I’ll be upfront: I know how this looks. A glowing review with nothing negative? I’d have been skeptical too. But here I am, a month from graduation, and I keep finding myself in quiet moments thinking — this is actually one of the few things I’ve been... Read More fully satisfied with.

I’m a busy business owner, not a tech expert. Just a lifelong learner. And this course fit my life without cutting corners. The curriculum is structured enough to hold you accountable but flexible enough that you can run it alongside a full schedule. If you’re between roles and want to go deep? The optional content alone could keep you busy for a year — I actually asked yesterday about keeping access after graduation for that reason.

The instructors are the real differentiator. Seasoned professors who make complex material digestible, and live calls where your questions get real answers backed by real experience. That kind of access, at this price point, genuinely does not exist elsewhere. I’ve seen other programs charge double for half the substance.

The platform isn’t perfect — there are minor flaws — but what stood out to me early on was knowing the Great Learning team was already aware and working on it. That feeling hasn’t left.

If you’re on the fence, I get it. Just know this review isn’t incentivized. I’m writing it because it’s almost never that I’m this satisfied with something — and that’s worth saying out loud.

I have completed the 'Applied AI and Data Science Program' of MIT Professional Education in April 2026. Within that program I have gained a deep understanding in Data Analysis and Visualization, Machine Learning, Recommendation Systems, Gen AI (only to... Read More name a few topics), and also Python programming is included. During the course three (major) projects need to be completed, and I loved the possibility to either go with a 'full-code' version (more for programmers), or the one that I chose, the 'low-code' version, which also requests a business report.
The program is run by Great Learning who provided every support you could imagine: the online sessions with MIT were supported by a Great Learning team member who was screening the chat and answering the participants' questions on the spot. Further, the was very useful information provided via multiple channels (e.g. Olympus Learning Management System, Slack, e-mail) and all sessions were recorded for later review.
I would 100% recommend this program looking to level up in the abovementioned topics. Many thanks to all involved MIT professors and Great Learning team members.

This program was a deeply rewarding experience for me. It offered far more than technical training. Through rigorous, hands-on projects with large real-world datasets, I gained practical skills in applied data science and machine learning, along with... Read More access to outstanding learning resources that truly elevated my growth.

What made this journey especially meaningful was the human support behind it. During a difficult personal period, the program managers, especially Tripti and Himanshu, supported me with remarkable kindness, patience, encouragement, and consistency. They helped me stay grounded, return to work, and keep moving forward when that felt very hard. I genuinely believe I would not have completed the course without their motivation and support.

If I had to mention one challenge, it is that the program is demanding, especially when life becomes difficult and dealing with multiple priorities. But that challenge is also part of its value. It pushes you to grow. I am sincerely grateful to everyone involved, and I will carry both the learning and the kindness I received here with me.

I think this is a great course for anyone wanting to understand how data analysis and AI can facilitate work from a more technical perspective. It’s well paced even for non tech savvy professionals and students. The teachers and managers were all really... Read More supportive!

The Great Learning and MIT course on AI and data science opened a door to a new world for me. I was easy to follow when it comes to content, the mentor and the team were very supportive and always ready to help and to support me when I felt that it was... Read More enough.
Finishing this course took me to places I never expected and opened new ways to see the world, that certally will help me a lot in my current job.
I highly recommend this course to beginners like me and also to people with more advanced knowledge

The course was a great in all aspects, from the material itselt, to how it is presented and graded. 100% recommended for those who seek learning more about ML and Data Science. Also, the attention and mentorship was great, the teachers really showed their... Read More interest and expertise in every topic. A great course over all.

I just completed the Applied AI & Data Science (AAIDS) program, and it was a very rewarding experience.

The program stands out for its strong focus on real-world, hands-on learning. The projects and assignments are practical and closely reflect industry... Read More problems, which helped me build confidence beyond just theory. The lecturers from MIT, were excellent, and the support from the Great Learning team was always prompt and helpful.

The program is quite intensive, especially for working professionals, and a few modules could benefit from a bit more time for deeper exploration. However, this also reflects the rigor and depth of the program.

Overall, I would highly recommend it to anyone serious about building strong, practical skills in AI and data science.

This will refresh your statistics and probability knowledge and help you understand and apply AI and machine learning to real-world problems. The structure of the course makes it possible to work on and complete exercises and quizzes at your own pace... Read More on the week days and attend the lectures on the weekends. The support team does a great job along with the instructors. I highly recommend this course for anyone interested in Data Science and ML.