Great Learning

I had a great learning experience with this program. The curriculum was well-structured, practical, and easy to follow. The concepts were explained clearly, and the overall organization of the course made it very effective for skill development.

A special... Read More thanks to Parichita Raghav, Program Manager, for her outstanding support throughout the journey. She was always responsive, professional, and genuinely helpful whenever I had questions or needed clarification. Her guidance made the learning process smooth and stress-free.

Overall, I highly recommend this program to anyone looking for quality learning combined with strong support from the management team

This review provides an overview of my experience with the Generative AI course, covering various components such as video training, mentoring, quizzes, projects, and the learning materials provided. The goal is to reflect on how each aspect contributed... Read More to my understanding and engagement throughout the course.

Video Training
The video training modules were well-structured and easy to follow. Each lesson provided clear explanations of core generative AI concepts, supported by practical demonstrations that helped reinforce learning. The pacing of the videos made it simple to absorb information while also allowing flexibility to revisit complex topics when needed.

Mentoring
The mentoring component of the course was highly valuable. The mentors provided timely guidance, answered complex questions, and offered personalized feedback that helped deepen my understanding of generative AI. Their real-world insights and willingness to support my learning journey made the experience more engaging and impactful.

Quizzes
The quizzes provided throughout the course were effective in reinforcing key concepts and assessing my understanding. They were thoughtfully designed to cover both theoretical knowledge and practical application, helping me identify areas that needed further review. The immediate feedback from each quiz also supported continuous learning and improvement.

Projects
The hands-on projects were one of the most impactful parts of the course. They provided opportunities to apply the concepts learned in real-world scenarios, reinforcing my understanding of generative AI techniques. Working on these projects allowed me to experiment, problem-solve, and build practical skills that enhanced my overall learning experience.

Course Materials
The course materials were comprehensive and well-organized, supporting each topic with clear explanations and relevant examples. Supplementary resources such as reference guides, downloadable files, and reading recommendations enhanced the learning experience. Overall, the materials served as a valuable foundation for understanding and applying generative AI concepts effectively.

Conclusion
Overall, the Generative AI course provided a comprehensive and engaging learning experience. Each component—from the video training and mentoring to the quizzes, projects, and course materials—contributed meaningfully to my understanding of Generative AI. The balance of theoretical foundations and hands-on practice left me feeling confident in applying these concepts to real-world scenarios.

Areas for Improvement
- There were a few areas where we experienced some technical issues.
- I felt that the turnaround time on the project results took longer than expected.

I would like to thank the Program Managers who were very active and very pro active with every concern raised.
The program initially felt like something out of my reach with no IT background, but as time went it was making sense i started enjoying the... Read More program.
I will have to go through it once again and polish up

I had taken MIT AAIDSP program, with collaboration with Great Learning. My experience has been very smooth, the team is very patient and understanding, helping with coordinating with the faculties of MIT or Assignment scores issues, or not being able... Read More to join any classes or mentored sessions, at every point the program manager and their team is always their for guidance of any kind -- program related or faculties or coding or syllabus related queries. The system portal (Olympus) is also very sophisticated and helpful.

Some of the things that were highlight for me:
1) Walkthrough projects by industry mentors, they explain every line in the code, helps clear the concept easily irrespective of you are beginner or advanced level.
2) Coding problems quizzes, very helpful, cover the important parts of the concepts and helps you sit down and actually learn to code yourself.
3) Mentored Learning sessions, my sessions taken by the mentor were very detailed, helpful and doubt solving oriented. At no point in the program was I left confusing for any topic that I had been taught by the faculties. I could always ask them, and they'd respond.

Overall, highly recommend to anyone looking to kickstart their career from basics to advance level in the field of AI and Data Science.
Best,

Great Learning’s 'Data Science and Machine Learning: Making Data-Driven Decisions' is a masterclass in bridging the gap between technical theory and professional execution. Throughout the curriculum—spanning foundational Statistics to cutting-edge Generative... Read More AI—the program remains remarkably approachable.
While the barrier to entry for AI often feels gatekept by complex math, this course is designed for success regardless of your starting point. The mentors excel at demystifying the 'black box' of machine learning, turning intimidating concepts into accessible tools. Most importantly, the relentless focus on Business Applications allowed me to implement predictive analytics and clustering techniques in my current role in real-time. For any professional looking to pivot into a data-driven role without getting lost in academic jargon, I cannot recommend this program enough.

My experience with the AI & Data Science Program at Great Learning was highly enriching and exceeded my expectations.
Throughout the program, I was able to strengthen and deepen key knowledge in data analytics, machine learning, and artificial intelligence,... Read More combining a solid theoretical foundation with a strong practical focus. The applied approach of the course allowed me to work on real-world use cases, which was essential for understanding how to translate models and techniques into concrete professional contexts.
One of the aspects I value the most is how the program shaped my professional perspective. It helped me reinforce a data-driven approach to decision-making and gain greater confidence in applying AI and data science solutions to real projects, both from a technical and a strategic standpoint.
I would also like to highlight the continuous support throughout the journey: the instructors demonstrated a high level of expertise and a strong willingness to address questions, and the academic support was consistent, making the learning process much smoother and more motivating.
I would definitely recommend this program to anyone looking to grow or advance their career in data science. It is an experience that not only builds strong technical skills but also fosters long-term professional growth and vision.

This program was great, it went into extreme detail on each topic they discussed, and you don't need to have a background in the subject! The course makes sure to take into account any time deficiencies you may have with work, school, and whatever other... Read More situation you might be in. The program manager was very kind and would help you out within the day if you have any issues. Apart from coursework, the job support and job preparation program is wonderful. Around the 3/4th mark you unlock the ability to connect with all the people in your cohort and past cohorts directly on the dashboard. There's also the chance to meet with industry professionals for career guidance. Overall, apart from the hefty beginning fee, I'd say the program is worth it!

As a student in the MIT Applied AI and Data Science Program, I found it to be a strong, practical introduction to building and deploying AI solutions with a solid grounding in core machine learning concepts. The coursework balanced theory with hands-on... Read More projects, and the real-world case studies helped connect techniques to business and product decisions. Overall, it was a well-structured program that strengthened my confidence in applying AI and data science tools to realistic problems.

I was enrolled in the Applied AI and Data Science program with MIT through Great Learning. My overall experience was great, lots of support and excellent materials. The program covers Python, data analysis, data visualization, generative AI, and machine... Read More learning. The program covers most of the courses needed to start a career in data or learn data science. The only hiccup with the program could be the Zoom sessions held on weekdays during work hours. If you have a job during the week on regular business hours, this could be an issue. If not, please go for it.

The MIT Data Science and Applied AI course was a highly rewarding learning experience that significantly expanded both my technical skill set and the way I approach problem-solving. I learned a great deal and am confident that I will apply this knowledge... Read More in future endeavors. More importantly, the course opened up new ways of thinking about how data and AI can be used to address real-world challenges.

That said, the program is very intense. There were moments when I genuinely worried I might not be able to finish. However, the support offered throughout the course played a crucial role in keeping me motivated and enabling me to keep going, even during periods when I was falling behind.

For anyone considering joining, I would strongly recommend carefully factoring in the weekly time commitment before enrolling. I found it challenging to balance the workload alongside a demanding job that extends beyond a standard 9–5. If you are already feeling overwhelmed, maintaining that balance can be particularly difficult.

Overall, it was a demanding but extremely valuable experience, and one I’m glad I committed to. I would recommend this course to anyone seeking to expand their understanding of the practical applications of AI.