Great Learning

The courses are well thought out. The focus is on applying open source tools to create machine learning and artificial intelligence models.
That is not to say that the course doesn’t go in-depth into how the models work and what to look for when training models. The course does go into that with some detail. This helps avoiding the “black-box” pitfalls so many of us have fallen into using tools without understanding how they work under the hood.
The syllabus as well as the content is maintained regularly, all videos I watched made references to pretty recent stuff.

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Participating in this intensive training on AI and ML applications has been the best experience. As someone who leads a data capture and analysis function in the agricultural research field, I am convinced that our success partly hinges on our ability to derive insight and actionable strategies from data in a comprehensive and timely manner. This training, coupled with hands-on projects, has allowed me to navigate opportunities to answer existing and emerging questions. In particular, the course content on deep learning, computer vision, and neural network models has equipped me with the skills to leverage these advanced methodologies to enhance our analytical capabilities. By applying computer vision techniques, I can now process and interpret complex visual data, which is invaluable for tasks such as phenotyping and yield prediction. The knowledge gained from this training has helped me strategize our efforts towards a more streamlined analysis pipeline and nuanced understanding of complex data. I highly recommend this training to anyone looking to deepen their understanding of AI and ML applications, especially in fields where data-driven insights are crucial for success.
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The GreatLearning course was a short but intense 12 week programme that gives a detailed training on the theoretical and practical aspects of Data Science and Machine Learning. They have a great platform and a supportive administrative team that gives that social push to get going. I've enjoyed learning from the great and inspiring faculty from MIT along with the industry mentors. I would recommend them to anyone looking to upskill quickly in Data Science & Machine Learning in a short time. Read less

I can honestly say that the MIT IDSS Data Science and Machine Learning course through Great Learning was one of the best educational experiences I’ve had. I started with a basic understanding of data science, but through the course, I gained real confidence in handling complex topics like machine learning algorithms, predictive modelling, and making data-driven decisions.
The course is impressively structured, and each week introduces new concepts that build on one another. There’s a great balance between theory and practice, which keeps things interesting and engaging. What really stands out are the projects: beyond just a capstone, the program includes three extensive practical projects and numerous practice assignments to reinforce each concept. These projects made learning feel hands-on, allowing me to apply what I was learning to real-world scenarios.
The mentorship sessions were a highlight for me. Having access to industry experts who were always open to questions and willing to give personalized feedback was incredibly helpful. They guided us through challenging areas and provided insights on how the material connects to industry practices. The mentors were not only knowledgeable but also genuinely supportive, which kept me motivated every step of the way.
I’d highly recommend this course to anyone serious about getting into data science. It’s not just about learning technical skills; it’s about building practical, applicable knowledge and feeling prepared to tackle real-world challenges. Great Learning’s team was also fantastic with support, always there to help with any questions or issues. Overall, this course is a perfect combination of depth, rigor, and hands-on experience. Read less

The course takes 12 weeks and includes 6 courses, which are obligatory to be completed. Coursed include python and statistics, data and visualization, machine learning , deep learning and recommendation system. The lectures are lead by MIT instructors. Mentor sessions augment lectures by detailed hand-on seminars. The course is concluded by Capstone project. Throughout the course you are supported by mentors for training and office for admin issues. You also can talk with industry experts from the field for career advise and resume review. This is a great course to get knowledge and experience, do networking and get access to some exclusive resources. Read less

From the moment I contacted them, all the way to the end of the course, the people at Great Learning have been extremely..

1. Clear about the course details
2. Communicative regarding anything related to courses
3. Helpful when I had questions, and they answered them very quickly
4. Kind and empathic when I had difficulties.

First, I completed the MIT Applied Data Science certification course.  The ADSP was quite a challenge, and I worked very very hard to complete it.  I felt really confident in what I learned.  Immediately after that, I noticed that there was another Data Science certification course with MIT.  After speaking with my Program Advisor at Great Learning, I felt that taking this course would greatly benefit me to really solidify what I learned.  The course has some similar content with ADSP, but this course was through the MIT Institute for Data, Systems, and Society (IDSS).  I knew that the course would be just as great as ADSP, so I decided to go for it, and I'm really glad that I did.  I have just completed the MIT-IDSS Machine Learning and Data Science certification course!  
Both courses had the best of professors from MIT teaching us and the content was superb.  Also, the mentored learning sessions on the weekends were so valuable to really solidify the course material from that week.  The Great Learning Mentors were absolutely amazing.  Really knowledgeable, with real-world experience, and very skilled at teaching.  If you didn't understand something, you could send them a chat (during the session) and they would answer the question right then. 

And...I signed up for yet another Great Learning certification course - Microsoft AI Professional Program, and I'm really excited to start that one soon.

I've had a tremendous experience with Great Learning and I highly recommend taking courses through them.  They are organized, professional, and have everything covered for you.

eta:  By the way, Great Learning DOES provide Job Assistance.  I just haven't used it, yet. Read less

This AI course is fantastic! It introduces code-free AI tools, it is perfect for busy professionals. The course structure is very flexible, with top-quality content and support materials, and the team behind it is always available to assist you. The learning platform is excellent, enabling you to study on your own schedule and revisit resources anytime. Highly recommended for anyone looking to gain AI skills without coding!



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The program stands out for its practical approach, making advanced AI concepts accessible to non-technical professionals. It focuses on business applications, enabling participants to immediately apply their knowledge in organizational contexts. While the fee is significant, the course offers valuable skills, networking opportunities, and an MIT certificate, making it a worthwhile investment for career advancement in AI. Read less

This program has been an invaluable experience. The structured approach made complex AI and machine learning topics not only understandable but highly engaging. The live sessions and Masterclass provided practical insights and were instrumental in deepening my understanding, bridging the gap between theory and real-world application. Thanks to this program, I’m more excited about AI and ML than ever and even considering a career transition into this field. As a Software Engineer, I’m eager to apply these new skills, integrating AI and ML tools to make a meaningful impact on future projects. Highly recommended for anyone looking to broaden their skills in this evolving field! Read less

The PG Program in AI and ML: Business Applications course offered by UT-Austin is a well-rounded program offering the right amount of breadth and depth in treatment of AI-ML in this fast-paced curriculum! I was impressed with the course videos that offered the right measure of lecture content, aided by the refresher quizzes and practice projects that provided comprehensive learning to successfully take on the graded quizzes and project work at the end of each module! The mentored sessions gave the live classroom experience of students to lean and interact with industry professionals who are experienced active practitioners of AI-ML.I would leave with an enriching experience after completing each module and looking forward to even more! The program manager (Bhashi for my cohort) has been a veritable guiding force in ensuring smooth conduct and delivery of this course! She was prompt in responding to any or all  the questions that the cohort had and resolved any issues pronto that would arise! As PM she was empathetic and caring, and served as a skilled facilitator to aid in the success of students who are typically full-time working professionals and stretched for time! Overall this program is an enriching and rewarding experience, which leaves the student with rich arsenal of the AI-ML skill set!  Read less

Completing the Post Graduate Certificate in AI and ML: Business Applications from the University of Texas at Austin has been an invaluable experience. The program provided me with a strong foundational understanding of how AI and ML can be leveraged to achieve better business outcomes. I especially appreciated the structured and rigorous approach, which allowed me to build on my previous knowledge in a way that was both entertaining and deeply engaging.
The live sessions with industry professionals offered insights into real-world applications, demonstrating how the skills I learned could be directly applied to create tangible impacts. Learning Python and being exposed to tools commonly used in Data Science has already proven beneficial in my current role, where I’ve been able to create impactful software which leverages these new skills.
The support from the program managers was exceptional, especially when I faced a personal situation and needed flexibility. The video lectures, delivered by the University faculty, were of high quality—both in production and in content—and I found them unexpectedly entertaining.
I’m excited to use the skills I’ve gained to advance my career as a Software Engineer, incorporating more AI and ML tools into the applications I develop. The data analytics knowledge I acquired will be invaluable as I continue to grow professionally. This program has been a true investment in my future, and I look forward to continuously learning and upgrading my skill set. Read less

As a postgraduate AIML student at Great Learning, I've found the program exceptionally relevant for those seeking AI and machine learning expertise. Despite my non-technical background in business administration, my husband's encouragement and my inherent technical skills have enabled me to thrive. Our program manager Surya provides invaluable support through tailored scheduling and doubt resolution. The curriculum features advanced modules, practical quizzes, and regular mentor-led sessions, culminating in six to eight real-world projects that significantly boost employability. The University of Texas-Austin affiliation lends significant weight to the certification, making the program a valuable investment, which I expect to complete within three months. Read less

I recently completed this bootcamp, and I found it to be a valuable learning experience. With a mechanical engineering background and limited Python knowledge, I was able to significantly improve my skills without ever getting lost.The curriculum was comprehensive, covering a wide range of topics from basic concepts to more advanced applications. I appreciated the wealth of resources provided, including tutorials and practical projects. There was a ton of supplementary material, which was very helpful, and set me up for an even deeper dive outside of this class. Support from the instructors was a notable highlight. Mihash and Rohini were particularly helpful, always available to clarify doubts and provide guidance. Their expertise contributed significantly to my understanding of the material. They also understood that this work is usually done alongside a normal job. Overall, I would recommend this certification course to anyone interested in machine learning and AI. It has equipped me with practical skills and insights that I plan to apply in my future work. While I came in with limited experience, I feel much more confident in my abilities now. Read less

Great Learning supports several University of Texas programs.  I am finishing the well respected 7-month AI & ML program.  This has been amazing and my favorite learning experience, which is saying a lot considering I am a lifetime learner.  The support from Great Learning is what makes the program stand apart.  Other programs have been decent, but live mentoring sessions and strong program support (Program Manager and Mentors) SIGNIFICANTLY enhances the learning experience.
A shout out to the mentors Marcelo Guarido de Andrade and Anchit Saxena.  They are each phenomenal and make the most of mentoring sessions.  They each cover the basics while effectively pivoting to answer questions, including Python coding on the fly as only a pro can.  Also, a shout out to my Program Manager, Bhashi Parihar, who has been guiding program execution for my cohort and running interference when there are issues.  

Hopefully future learning experiences will measure up, but Great Learning has helped UT to set an extremely high bar!

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This program gave me exactly what I wanted and needed to update my Computer Sciences knowledge. I enjoyed the pace, the content, the challenge and the support.

Sufficiently deep to learn how ML and AI works currently. And flexible enough for me to get deeper when I wanted to. Perfect program to balance with my work and family duties with great cadence and support from the platform. Great addition to my experience.  Read less

I have had such an amazing experience with this program, the contents are high quality, the mentor sessions are excellent, the projects for each module are really interesting and designed for applying the knowledge acquired. If you are planning to get deep knowledge and understanding in AI&ML this program is a must. The assistance of my Program Manager  Ms Bashi Singh has been incredible, she is always keen on support and help when facing any difficulty. I have enjoyed this program so much that I plan to continue with my studies and applications on this exciting field. Read less

I am currently studying the AI/ML Great Learning Course while simultaneously pursuing my Bachelor's degree and I can confidently say that my experience thus far has been excellent. The AI/ML Great Learning course is like no other BootCamp I have been interested in; the course offers excellent communication directly with the Mentors and a community discussion board where students can go for assistance; weekly meetings with a Mentor to clarify concerns and doubts. Information is delivered concisely with brief quizzes to test your knowledge of each topic. This course offers a solid background on AI/ML concepts [neural networks, creative computing, supervised vs unsupervised learning, various algorithms]  with additional resources and case studies that help you get that industry experience.  Read less

I am currently studying the AI with Deep learning course with Great Learning online as an international student. It has so far been a very rewarding experience. I am learning lots of new interesting things. Studying with a full-time job can be challenging, I have received support from the faculty. My program manager in particular, Ms. Bhashi Singh, has been very supportive throughout my learning journey. I would recommend the course to anyone .... Read less

“MIT: No Code AI and Machine Learning: Building Data Science Solutions” is an exceptional course, which provides a solid background for building data science solutions regardless the industry/field.
The course provides a balanced mix of video lectures that present and explain the AI/ML concepts in detail, case studies presented by AI/ML experts and applied to real-world scenarios, real-time interactive mentored learning sessions and hand-on sessions using different no-code AI tools/software held by AI/ML experts (during the weekend), weekly assessments, and highly relevant industry projects build from scratch (datasets are provided) by using NC platforms.
The curriculum covers a multitude of AI techniques and algorithms, e.g., clustering (unsupervised learning), classification and regression (supervised learning), time series, artificial neural networks, convolutional neural networks, recommendation systems, NLP. 
The course is very well organized, and the students receive the best support, encouragement and attention from both the mentors and program managers.
With certainty, it is one of the best and complete courses that I attended. 

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