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I found the big data course from Edureka to be comprehensive, and practical. Course instructor was very knowledgeable, and handled the class very well in terms of making it interactive, keeping it interesting, and responding to all questions from students. The support staff was excellent as well, engineers assisted me remotely when I encountered an issue with HDFS even after the course was over. Overall, highly recommend Edureka for big data training and more.
I really had overwhelming experience with edureka. I was looking for class room training for AWS course. But the edureka representative explained me the advantageous of the online program that they are providing. Best part about it is, they provided all the class room recordings and in future you can attend the online classes of the same course again WITHOUT any additional cost. This is awesome. I really recommend edureka training programs for career growth. I am sure you will fell the same, if you are part of edureka.
This company has been heaven sent to anyone interested in learning the newer technologies that are changing by the day. Their instructors are top notch and above all their customer service is unparalleled. The student experience was amazing for me. I took the Selenium course and the content was perfect. My instructor obviously had wealth of experience in the material he was teaching. He had answers of all questions we had asked. I will surely take more courses with them and I have recommended edureka to several of my colleagues. Great Job! edureka.
Thanks for the quick reply and solving the issue. I was really impressed by your 24/7 support even during the festive period. I appreciate your service and the trainer for Bigdata is very friendly and we've learnt the subject in very effective way. Thanks Edureka for doing such a great things.
Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered in no time. I also approached your support team for a change in class and the instructor. They allowed me to choose instructor of my choice and now my learning is much at its peak. Thanks to one and all sitting out there in the support team. They even provide a prompt response during weekends. That's a good feature. We professionals get time only during the weekend to focus on studies and when we do so we get stuck into problems; but no way have we had a good Edureka support Team. Thanks once again.
I took PMP online classes with edureka. Just wanted to let you know that I was successfully able to pass the PMP exam couple of weeks ago. I enjoyed learning the concepts of PMP through edureka by the excellent laid out structure.Instructor's method of teaching was very helpful. During the classes he went over the concepts in detail and also clarified all the questions very patiently. He also shared his real world experiences which helped the student to relate to the topic. Even after the completion of course work, while reviewing the chapters in LMS, I struggled in few areas and when I reached out to the instructor without any hesitation, he explained it to me by providing some good examples.Wanted to take a moment to thank the people who contributed the most in my success.
The Integrated MS + PGP in AI combines two prestigious qualifications, the Master of Science in Data Science by Birchwood University and the Post Graduate Programme in Generative AI and ML (PGP in Generative AI & ML) by Edureka.
This accelerated programme builds a strong foundation in data science while developing advanced, industry-ready expertise in AI and machine learning. The integrated curriculum offers a complete understanding of the data-driven technologies shaping the future of business and innovation.
A key differentiator of this dual pathway is the Recognition of Prior Learning (RPL) model, which allows learners to complete the entire programme in just 12 months instead of the usual 24, graduating with two recognized credentials.
By the end of the journey, learners gain hands-on experience across data science, artificial intelligence, and machine learning, empowering them to fast-track their careers and succeed in today’s competitive, technology-led world.
Recognition of Prior Learning (RPL) formally acknowledges previously acquired knowledge, skills, and professional experience, regardless of where or how that learning was obtained. This recognition may provide credit, module exemptions, or direct assessment eligibility, eliminating the need to repeat content already mastered.
In the integrated program, RPL supports a streamlined two-stage learning pathway that combines the PGP in Generative AI and Machine Learning with the Master of Science in Data Science. This structure enables completion of both qualifications within an accelerated 12-month track, instead of the conventional 24 months.
Learners may choose to opt out of the program and request a refund any time before the commencement of the cohort by sending an email. Refunds will be processed after deducting processing charges of USD 150.
No refund requests will be accepted or processed once the cohort has commenced, and any amount paid will be forfeited.