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Great Learning

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Great Learning

Avg Rating:4.64 ( 119 reviews )

Great Learning offers online, career-relevant programs from world-class universities in data science, artificial intelligence, machine learning, management, cloud computing, cyber security and design thinking. It was created in 2013 with the aim of making current professionals future-proof, and to help people gain practical skills in an ever-expanding field. Great Learning students receive weekly mentorship sessions with industry experts, hands-on experience with industry-relevant projects, and small class sizes. 

Great Learning courses are aimed at career-changers and those looking to upskill. Applicants need to submit an online application to be considered for acceptance into the program.

Recent Great Learning Reviews: Rating 4.64

all (119) reviews for Great Learning →

Recent Great Learning News

    • Applied Data Science Program by MIT Professional Education

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      OnlinePart Time12 Weeks
      Start Date None scheduled
      Cost$3,700
      Class sizeN/A
      LocationOnline
      Become a data-driven decision maker with live virtual teaching from MIT faculty, hands-on projects, and mentorship from industry practitioners. The 12-week program is offered by MIT Professional Education. Complete hands-on exposure through 6 projects under the guidance of industry experts and a 3-week Capstone Project on a real-world business problem.
      Financing
      DepositN/A
      Financing
      Available for specific regions
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • Customer-Centric Marketing Strategy

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      OnlinePart Time12 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      Learn via world-class content and live sessions from faculty at the Wharton School. Engage in discussions with industry mentors to clarify concepts and resolve doubts. Learn through case studies and interactive simulations designed by Wharton Interactive.
      Financing
      DepositN/A
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      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • Data Science and Machine Learning: Making Data-Driven Decisions by MIT IDSS

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      Business Intelligence
      OnlinePart Time12 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      Learn to uncover data’s true value and make data-driven business decisions with MIT faculty and mentorship from industry practitioners. 12 weeks program by MIT IDSS with 20+ industry-relevant hands-on projects and case studies.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • NUS Digital Transformation: Rethink Your Business For Growth Programme

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      OnlinePart Time13 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The program is designed to help professionals and entrepreneurs deep-dive into the technological changes taking place across industries and harness the latest tools to build organizations that are agile, resilient and sustainable. It provides a comprehensive framework for implementing digital transformation across business units.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • NUS Future Leaders Programme

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      OnlinePart Time12 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The hands-on curriculum of this program has been designed through the lens of Business Managers and Leaders and covers the entire spectrum of skills and several tools needed to become effective managers and leaders. Participants go from understanding the fundamentals to getting first-hand experience of the skills being taught by practicing and observing for themselves.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • NUS Practical Decision Making Using Data Science

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      OnlinePart Time26 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The curriculum of this program has been designed from the lens of Business Managers and Leaders and covers an in-depth and comprehensive journey in Data Science from the lens of a Business Manager. Participants harness the skills required to analyze data and extract information to make sound business decisions and strategies.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • PG Program in Artificial Intelligence and Machine Learning: Business Applications by Texas McCombs

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      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications (PGP-AIML) is a 6-month-long comprehensive program by The McCombs School of Business at The University of Texas at Austin and Great Learning. Designed to enable career outcomes in AI and Machine Learning, the program uniquely combines a comprehensive curriculum, covering the most widely-used tools and techniques in the industry, with a hands-on learning approach. A structured learning journey keeps you on track throughout as you achieve your weekly learning milestones with your mentor and benefit from their rich professional experience. Following a “learn by doing” pedagogy, the program offers you the opportunity to apply your skills and knowledge in real-time every week through interactive mentor-led practice sessions with practicing AI/ML experts from leading companies. This is supplemented by industry-scale hands-on projects to build your portfolio. On a whole, the program empowers you with the skills, body of work, and job market insights you need to find the right career opportunities or lead AI and ML in your current organization. All this comes with credibility, global advantage, and academic leadership of Texas McCombs at The University of Texas at Austin.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • PG Program in Artificial Intelligence for Leaders by Texas McCombs

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      OnlinePart Time17 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The Post Graduate Program in Artificial Intelligence for Leaders (PGP-AIML) is a 4-month-long comprehensive program by the McCombs School of Business at The University of Texas at Austin and Great Learning. Designed to leverage the power of AI to become a qualified business leader and improve business outcomes, the program uniquely combines a comprehensive curriculum, covering the most widely-used tools and techniques in the industry, with a hands-on learning approach. A structured learning journey keeps you on track throughout as you achieve your weekly learning milestones with your mentor and benefit from their rich professional experience. Following a “learn by doing” pedagogy, the program offers you the opportunity to apply your skills and knowledge in real-time every week through interactive mentor-led practice sessions with practicing AI/ML experts from leading companies. This is supplemented by industry-scale hands-on projects to build your portfolio. On a whole, the program empowers senior leaders with the skills required to improve business outcomes and lead AI and ML in your current organization. All this comes with the credibility, global advantage, and academic leadership of The University of Texas at Austin.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • PG Program in Cloud Computing

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      OnlinePart Time26 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      Accelerate your career with India’s Most Comprehensive Cloud Computing Program IT professionals not already working with cloud technologies will gain a solid foundation, while those with some cloud experience will gain a more structured and hands-on understanding of cloud technologies, including issues such as migration, deployment, integration, platform choice, architecture, and TCO. PGP-CC has the most comprehensive curriculum with 90+ services being covered. You will also get additional resources containing material which can help you crack the AWS and Azure certifications.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • PG Program in Data Science and Business Analytics by Texas McCombs

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      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The Post Graduate Program in Data Science and Business Analytics (PGP-DSBA) is a 6-month-long comprehensive program by the McCombs School of Business at The University of Texas and Great Learning. Designed to enable career outcomes in Data Science and Analytics. It uniquely combines a comprehensive curriculum, covering the most widely-used tools and techniques in the industry, with a hands-on learning approach. A structured learning journey keeps you on track throughout as you achieve your weekly learning milestones with your mentor and benefit from their rich professional experience. Following a “learn by doing” pedagogy, the program offers you the opportunity to apply your skills and knowledge in real-time every week through recorded video lectures, hands-on projects, quizzes & assignments. All this comes with credibility, global advantage, and academic leadership of the Mccombs Schools of Business at The University of Texas at Austin.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • PG Program in Data Science & Data Management Systems

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      OnlinePart Time30 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The Post Graduate Program in Data Science and Data Management Systems has been designed to provide a learner with the breadth and depth needed to excel in a career in Data Science and Data Management Systems. The carefully crafted curriculum is created by the faculty of UT Austin, Great Learning, and leading industry practitioners. The program is taught by the best-in-class professors and practicing industry experts. Covering the most widely-used tools and technologies with a variety of industry examples, the curriculum makes one job-ready with a solid foundation.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • Post Graduate Programme in Cyber Security

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      OnlinePart Time16 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The program equips you with the skills needed to investigate attacks and build robust cyber security systems. The program is ideal for cyber defence enthusiasts, enabling them to connect with thought leaders in the industry and understand the process of securing digital infrastructure.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • Stanford Executive Education Design Thinking: From Insights to Viability

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      OnlinePart Time12 Weeks
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationOnline
      The curriculum of the program has been designed by Stanford faculty. It covers the entire framework of the design thinking process. Participants build an understanding of the “user’s need” by engaging in empathic interactions, creating and testing rapid prototypes, and building important building blocks of a business case.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • Ramya Ketan Subhedar  User Photo
      Ramya Ketan Subhedar • Student • Verified via LinkedIn
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      When I began I was skeptical on how the program will be structured and how can I manage it with full time work as well as personal responsibilities. Also, re-engaging into an intensive acdemia after such a long gap seemed daunting. But right from enrolling, the GL team clarified each of my queries with patience. Once the course started, the first 6 - 8 weeks were daunting but again support of GL Program Management team was paramount. The lecturers are very experienced, the lectures are structured and delivered very well to clear the basic concepts for a beginner as well. I have become a fan of Dr. Nirmallya Mukherjee and his way of teaching :) The projects are spaced well and support is great in case you get stuck somewhere. GL PG course is not designed to make you an expert but it definitely will get you started on a strong footing for your cloud journey !
      Yes, Recommended definitely :)
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Friday, May 27 2022
      Thanks for the feedback, @Ramya Ketan Subhedar :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Omoyele Aderibigbe  User Photo
      Omoyele Aderibigbe • Student • Verified via LinkedIn
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      Simple put, the most profound learning journey I have been a part of. It has transformed the way I think about, view, and solve complex cases. I will definitely refer this to anyone interested in the course. 
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Thursday, May 26 2022
      Thanks for the feedback, @  Omoyele Aderibigbe :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Hugo Mancera  User Photo
      Hugo Mancera • BI & BA Developer • Student • Verified via LinkedIn
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      This review is for the Post Graduate Program in Data Science and Business Analytics offered by Great Learning in collaboration with The University of Texas McCombs in Austin.


      I love learning and getting more knowledge to always be at top of technology, I would say that I´m a Datanout and Tech addict!

      And wow! The Post Graduate Program in Data Science and Business Analytics, has definitely been one of the most exciting and well-prepared course I have ever taken, from the videos, lectures, material and live classes, just from top to bottom it has really helped me to understand data in a very different way and I love it!!



      I truly appreciate the tons of support from the Program Manager (V.), she has been wonderful in helping me on many occasions and best of all, she has a truly human sense of what exactly we need now at days.



      I also would like to thank the professors who really spent lots of hours putting this great course together. It was a great journey and I still want to go for more!



      Thank you!!!

       
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Thursday, May 26 2022
      Thanks for the feedback, @ Hugo Mancera :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Jimmie Powell  User Photo
      Jimmie Powell • Student • Verified via LinkedIn
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      Very rigorous curriculum with applicable case studies and practical programming assignments that are applicable to real world business scenarios and data science projects. The program mentored tutoring sessions were valuable and the course project manager was highly accessible for questions or concerns.
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Wednesday, May 25 2022
      Thanks for the feedback, @Jimmie Powell :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Karthick Jenadoss  User Photo
      Karthick Jenadoss • Student • Verified via LinkedIn
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      Recently, I completed Post Graduate Program in Artificial Intelligence & Machine Learning (PGP-AIML) offered by Great Learning in collaboration with McCombs School of Business, The University of Texas at Austin. 

      I have spent considerable time in the IT industry covering many areas including development, operations, Data Ops, CyberSecurity, cloud engineering, project/program/portfolio management and leading teams. One area that was new to me, was AI/ML. I was expecting it to be a breeze, but this program reinforced the saying "more you learn, you realize how little you know". It was a rollercoaster, started off easy, but went through a whirlwind of different topics such as supervised learning (Regression, Classification), Unsupervised learning,  Ensemble techniques, Feature Selection, Model Selection and Model tuning, Neural Network, Computer Vision and Natural language Processing (NLP).
      It was lot more advanced, more easier to consume, and much more democratized than the esoteric neural network introductions that I took in college, years ago. 

      Greats:
      1) the instruction videos were bite sized..easy to consume, understand.
      2) the professors/instructors were amazing..they know the stuff and they explain in such a way that its easy to understand. I still had to watch many videos multiple times to understand brand new concepts.
      3) MLS (Mentored learning sessions) were the most beneficial. They were interactive, conversational, and gave me an opportunity to get into details with the mentor on a specific topic. 
      4) Satish babu was amazing, passionate and knowledgeable. He really was into it, and if you ever get into one of his classes you are lucky.
      5) Asghar Mohammadi was great as well, logical, and taught at a pace that was great for me.
      6) Awesome program manager Sakshi Sharma, who was willing to answer any questions and help out.
      7) There are options for mentoring sessions, which is good for beginners in this field. 

      Looking back, it was a roller coaster indeed. One thing I would advise is get your time planned and scheduled throughly, and follow through, otherwise you can be under pressure from project deadlines, and they dont extend it no matter what.  I enjoyed the program, even though I hated the deadlines :-). I would recommend this for anyone who is serious about a career in Data Science, AI/ML. 
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Saturday, May 21 2022
      Thanks for the feedback,@Karthick Jenadoss :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Patrick   User Photo
      Patrick • Verified via LinkedIn
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      Simple put, the most profound learning journey I have been a part of. It has transformed the way I think about, view, and solve complex cases. Although, I had to take a break during my path to completion. It was the support and encouragement from Sakshi and the Great Learning community to to get back on track to completion with a new cohort. This program has given me a new perspective on what the education process can be and I will recommend it to everyone when speaking about the critical role Great Learning and associated Universities (UT-Austin) are doing in enlightening current and future believers the world can be a wonderful place.

      Response From: Great Learning of Great Learning
      Title: Great Learning
      Friday, May 20 2022
      Thanks for the feedback, @ Patrick :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Joshua Bradford  User Photo
      Joshua Bradford • Verified via LinkedIn
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      This was a collaborative course from the folks at Great Learning and UT Austin McComb's School of Business. The course covers Artificial Intelligence and Machine Learning and specifically how Artificial Intelligence and Machine Learning are applied in Business. Some of the topics covered included predictive modeling, supervised and unsupervised learning, computer vision, natural language processing, ensemble techniques, neural networks, and deep learning.

      For me, this course was VERY difficult. Ten years after graduate school, I assumed it would be an easy refresher course; oh how I was wrong! This is a demanding course, and I didn't think I was going to make it through, but I did. The folks at Great Learning went above and beyond  their teaching requirements to see that I was given every possible opportunity to maximize my learning and get all that I could out of the course.

      We attended class weekly, where questions were asked and our instructor kept on track. The instructor (Ms. Bridget Huang-Gregor) was great. Eminating ample amounts of industry knowledge, Ms.Huang-Gregor was easy to understand, her speech was clear, and she made sure the entire class understood the concept at hand before continuing on to the next topic. I worked along side other classmates, as well as had the opportunity to participate in a few hackathons. A crash-course in Python is included. There is a lot of material to learn in a short amount of time, you will have to put in adequate project time. 

      Get ready to experience some mind-bending algorithms. and take your learning to the next level with help from this course.
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Wednesday, May 18 2022
      Thanks for the feedback, @ Joshua Bradford :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • AIML
      - 5/16/2022
      Srikanth Putta  User Photo
      Srikanth Putta • Consultant • Student • Verified via LinkedIn
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      I did the “Post Graduate Program in Artificial Intelligence & Machine Learning” offered by Great Learning in collaboration with McCombs School of Business, The University of Texas at Austin. This was an incredible experience, I started as novice in Python and ended up with solid confidence in building various models in python. The program provided rapid introduction to Python pre-work, and AIML and then in a very structured manner covered many topics that included Supervised Learning (Regression, Classification), Unsupervised learning, Model Selection and Model tuning, Neural Network, Computer Vision, Ensemble techniques, Feature Selection, Natural language Processing (NLP), and Model deployment.                     

                             The faculty is of top notch comparable to the best colleges gave solid orientation  in statistics and practical approach to modeling. The program is composed of video lectures, presentation notes, ppts, many quizzes, and hands on homework and finally each unit has a project as a deliverable. Each week there is a 2-hour mentor session with the group and gave feeling as good as a campus classroom. Our mentor Ms. Bridget Huang-Gregor was amazing in sharing her knowledge and industry experience throughout the program. Great Learning collaborate with “Program Manager” who is the Dumbledore phoenix she is one point contact for the course cutting all the red tap she can address all your needs. I have to name Ms. Sakshi Sharma (PM), who was always prompt and extremely helpful throughout the program. When I was fluttering with the course, she put me in the correct course of direct, which helped me to actually finish this source by participating in each and every assignments and important milestones. I am all excited to explore new horizons. 

      True to its name “Great-Learning” continues to provide additional resources for learning - such as free “UT Austin Seminar” to its learners even after the program is over. Congratulations to Great Learning for offering as a live and vibratent course which will defeinately make a difference in every person who completed this course. Chrees to “Great-Learning”

      Response From: Great Learning of Great Learning
      Title: Great Learning
      Tuesday, May 17 2022
      Thanks for the feedback, @ Srikanth Putta :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Fenil Raj Kumar  User Photo
      Fenil Raj Kumar • Graduate • Verified via LinkedIn
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      This is a great program, rarely do I write reviews. This program has helped me to learn so much and I am thoroughly impressed with the content, faculty, system and support - all facets of the program are 5 stars!

      Faculty: World class in terms of explaining concepts and material. They are very patient to explain advanced concepts to people who are not familiar with the subject and ensure that we understand. Ms. Kamakshi and Mr.Sathish are great teachers.

      Material: The lesson videos and the lectures go great together - I must commend the video material they are very useful to replay and follow the material. Great industry projects on healthcare, finance, retail, real estate, market analysis - these projects ensure that they equip you well no matter your background.

      Support Staff: This is a great team and they are a great support to help explain any concepts, help along on the project to trouble shoot if there is any need. Very responsive, professional and supportive. Every support staff that I have interacted were very professional and would like to thank Ms.Sakshi for her infinite patience and support in lesson followups and project questions.

      A well thought out curriculum, system and execution. If you are passionate about these subjects - this cannot get any better for working class professionals.

      I am extremely thankful to the teachers and especially the support staff! Awesome is the word that summarizes my experiences.
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Monday, May 16 2022
      Thanks for the feedback, @Fenil Raj Kumar :) We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Madhu Vadnere  User Photo
      Madhu Vadnere • Verified via LinkedIn
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      I recently finished the “Post Graduate Program in Artificial Intelligence & Machine Learning” offered by Great Learning in collaboration with McCombs School of Business, The University of Texas at Austin. This was an incredible experience, as I started out with zero  background in Python and ended up with solid confidence in building various models in python. The program provided rapid introduction to Python pre-work, and AIML and then in a very structured manner covered many topics that included Supervised Learning (Regression, Classification), Unsupervised learning,  Ensemble techniques, Feature Selection, Model Selection and Model tuning, Neural Network, Computer Vision, Natural language Processing (NLP), Model deployment and Recommendation systems.. The faculty is amazing in providing solid grounding in statistics and practical approach to modeling. The program is composed of video lectures, presentation and notes, many quizzes and hands on homework and finally each unit has a project as a deliverable. Every week there is a 2-hour mentor session with a group of approximately 15 other learners. The mentor sessions were extremely helpful, and our mentor Ms. Bridget Huang-Gregor was amazing in sharing her knowledge and industry experience throughout the program. Great Learning also provided a “Program Manager” who tends to individual and group needs. Thanks to my program manager Ms. Sakshi Sharma, who was always prompt and extremely helpful throughout the program. With my domain expertise in pharma and newly acquired skills in AIML, I am all excited to explore new horizons. 
      True to its name “Great-Learning” continues to provide additional resources for learning - such as free “UT Austin Seminar” to its learners even after the program is over. Congratulations to Great Learning for creating such a stimulating program!
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Monday, May 02 2022
      Thanks for the feedback, @ Madhu Vadnere :)
      We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Sudhanshu Kuthe  User Photo
      Sudhanshu Kuthe • Student • Verified via LinkedIn
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      “Data Science and Machine Learning: Making Data-Driven Decisions” provided by “Great Learning” and “MIT-IDSS” is a journey in itself. It is an incredible experience of ten weeks with honest and disciplined learning. I have done many online programs during the last two years, but I genuinely agreed with the fact that this program is different in itself. The program material, level of quizzes, project work all were designed considering one’s learning speed, workload, and capacity to achieve. The best part was that I learned Python programming during the pre-course work, which helped me to understand data visualization techniques and their applications in building Machine Learning (ML) models. We learners also got a chance to connect with other enthusiastic people across the globe during the mentor sessions of the program. It was indeed a great practice knowing how people are evolving themselves in the world of data science. Thanks to wonderful mentors, who provided generous support throughout the program. I must insist on people taking this program and have faith in “Great Learning”. If you are looking for magic to happen in your thinking towards data science and ML then this course is best to accomplish! Please go ahead and enroll yourself without any doubt :-) 
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Wednesday, Apr 13 2022
      Thanks for the feedback, @Sudhanshu Kuthe :)
      We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 
    • Mr
      - 3/15/2022
      Patrick O. Akoto  User Photo
      Patrick O. Akoto • Director • Graduate • Verified via LinkedIn
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      Excellent Program - Stanford Advanced Cybersecurity Program
      I took the Advanced Cybersecurity Program and it was excellent. The lectures and the mentored sessions were really top notch. By the end of the course, I had a total theoretical and practical understanding of cybersecurity.
      Will recommend the course to anyone who is interested in knowing much about the Advanced Cybersecurity Program to go to Great Learning.
      Response From: Great Learning of Great Learning
      Title: Great Learning
      Wednesday, Mar 16 2022
      Thanks for the feedback, @Patrick O. Akoto :)
      We put learner experience and satisfaction as our priority, and your review reaffirms the hard work we put in every day. 

    Thanks!