Great Learning

I completed the Johns Hopkins University Applied Generative AI Course through Great Learning in September 2025. 
I found the course content, instructors and overall experience to be excellent. The course delves into the fundamentals of AI with real world case studies and interesting projects that you can instantly apply in the real world.
From learning basic python coding, to the fundamentals of how large language models work, to prompt engineering to agentic AI this is a great course for anyone wanting to learn more about AI, even if you're starting from scratch. The course includes 2 hour long live mentor sessions with an expert each week.
I’d recommend it to anyone, from beginners to professionals, who wants a solid, applied introduction to generative AI. Read less

The Applied AI and Data Science Program by MIT and Great Learning is a top-tier learning experience for professionals. With live sessions led by MIT faculty, hands-on projects, and expert mentorship, it delivers both academic depth and practical skills. The curriculum covers Python and statistics, data analysis and visualization, machine learning, practical data science, deep learning, and recommendation systems—essential tools for solving real-world problems across industries.The MIT certificate adds strong credibility, and the case studies ensure the learning is immediately applicable. Whether you're upskilling or pivoting into a data-driven role, this program equips you with the knowledge and confidence to make an impact. Read less

The Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications from the University of Texas at Austin’s McCombs School of Business, offered in collaboration with Great Learning, is a transformative and highly rewarding experience that I wholeheartedly recommend. I can confidently say it’s a game-changer for anyone looking to excel in the AI and ML field.
This comprehensive 7-month program (extendable to 9-10 months with pre-work and breaks) is meticulously designed to take learners from foundational statistics to advanced applications like deep learning, computer vision, and natural language processing (NLP). The curriculum is both rigorous and well-structured, seamlessly blending theoretical concepts with practical, hands-on projects. Including self-paced videos, live webinars, and weekly mentored sessions, the program ensures a robust learning experience that accommodates busy professionals. The real-world projects, such as building predictive models for banking or designing e-commerce recommendation systems, allowed me to develop an industry-ready portfolio that showcases in-demand skills.
What sets this program apart is its credibility, backed by the prestigious University of Texas at Austin, and the expertise of its world-class faculty and industry mentors from top organizations. The weekend mentorship sessions were a highlight, offering personalized guidance and practical insights from professionals actively shaping the AI/ML landscape. The intuitive learning platform, coupled with responsive support from program managers, made navigating the course seamless, even during challenging modules.
The program’s career support is exceptional, The inclusion of self-paced modules on trending topics like generative AI, recommendation systems, and model deployment ensures learners are equipped with cutting-edge skills sought after in today’s job market. The alumni network and webinars with industry leaders further enriched my learning, providing opportunities to connect and stay updated on AI advancements.
Despite the intensive 8-10 hour weekly commitment, the flexibility of the online format allowed me to balance my professional responsibilities while diving deep into AI/ML concepts. The program’s focus on real-world applications, combined with its rigorous grading rubrics and project-based assessments, pushed me to excel and achieve top results. The knowledge, skills, and confidence I gained have been instrumental in advancing my career, making this program an unmatched investment in my professional growth. For anyone aiming to lead in the AI-driven world, this course is absolutely worth the effort! Read less

Just 3 months to go? Wooow!!!!!!. I can't believe I made it this far. 

So, when I enrolled in the program, I wasn't sure I'd be able to make it this far considering my extremely tight schedule. As a single parent, a leader at church and a worker, I was looking for a course that would cater to my needs, but Great Learning did that and even more. Throughout this journey, I have received tremendous support from Usha, my account manager; from extending assignment deadlines to other technical support, Usha has really been helpful. The student support system at Great Learning is highly efficient and effective.

The program itself has been awesome and has lived up to expectation. The faculty are experienced and on top of their games, the course materials are well structured and very resourceful. The curriculum is practical (hands-on) with nuumerous industry/business applications. There are also supplementary reading materials (available for downloading), as well as additional case study materials for personal practice.
Furthermore, the AI mentored sessions have been very helpful, aligning with the course strategy. Prior to enrolling, I didn't have a solid fundation in AI and ML, but the course structure took care of that, the Foundational Courses helped in filling those gaps.
Additionally, the e-portfolios generated after each project work enables one to share their experiences and successes with the public and prospective employers. 
Also, their robust learning platform, Olympus, is very easy to navigate and always accessible (available). It is always up to date with your progress as a student. 

Overall, the experience has been awesome and worthwhile. I'm having value for my money. Keep it up! Usha and your team at Great Learning. 

Without hesitation, I strongly recommend this program. Read less

I'd been looking for a way to connect my business background with the tech side of things for a while. Signing up for the AI and Machine Learning program through UT Austin's McCombs School of Business was honestly the best move I've made for my career. It's run on the Great Learning platform, and it’s so much more than a typical online course—it’s a genuinely challenging experience that’s built for people who want to lead in business today.

The Coursework is Spot-On

What really makes this program stand out is the curriculum. They did a fantastic job of mixing the heavy-duty theory with stuff you can actually use on the job. We started with the basics of Python, then quickly moved into the deep end with machine learning, NLP, and even forecasting.

But the best part was that everything was tied back to real-world business problems. We weren't just learning theory for the sake of it. For example, when we learned about random forests, we immediately used it to build a model to predict why customers might leave. When we covered NLP, we put it to work analyzing sentiment from financial news. It makes the skills you pick up feel solid and useful from day one. 

A Quick Shout-Out to Our Program Manager, Ms. Shivani

You can't get through a course this demanding without good support, and this is where the program really delivered, mostly because of our Program Manager, Ms. Shivani.
Honestly, I’ve never met someone so committed to helping students succeed. Shivani was the glue that held our group together. She made sure everything ran smoothly, but it was the extra stuff she did that made all the difference. 

My Recommendation? Go For It.

If you're serious about getting ahead in the world of data, I can't recommend this program enough. It doesn't matter if you're an analyst, a PM, or working in marketing—this course will give you the tools you need to make smart, data-driven decisions that actually help the bottom line.

You’re not just paying for a certificate; you're investing in yourself. I walked away with a real understanding of AI and ML, a portfolio I'm proud of, and the confidence to actually lead tech projects at my company. It’s a top-tier program, plain and simple.  Read less

I recently completed the PG course on AI/ML: Business Applications, and I can confidently say it’s one of the best career investments I’ve ever made. With over 19 years in the industry, I’ve witnessed how rapidly technology is evolving—and this course is truly a blessing in disguise.The program took me on a structured journey: starting with the fundamentals of machine learning and culminating in advanced topics like multi-modal LLM solutions. The progression was smooth, practical, and deeply insightful.What sets this course apart is its immediate real-world impact. I was able to apply my learnings directly, which helped me pitch two major AI-driven solutions to clients I was consulting—both of which turned out to be game changers.Instead of spending countless hours on scattered YouTube videos or blogs, this course offers a comprehensive, well-curated, and career-focused experience. By the end of it, I not only gained confidence in my AI/ML skills but also a clear edge in my career prospects.I would highly recommend this course to anyone looking to future-proof their career in the age of AI. Read less

Completing the Postgraduate Program in Artificial Intelligence & Machine Learning (Business Applications) with UT Austin / Great Learning while managing a demanding schedule was not easy, yet the way the program was structured — rigorous, flexible, and practical — made it possible.I particularly appreciated the steady presence of the team, always encouraging progress. A special thank you to Shivani, whose consistent follow-up and support ensured that I reached the finish line.I leave this program with not just knowledge, but tools and perspectives that will continue to shape the way I work. For busy professionals and executives, this is a program that delivers lasting impact. Read less

As an educator with 15 years of teaching experience, I found this course to be a truly wonderful and transformative learning experience. The instructors were simply amazing their teaching style, clarity, and engaging delivery made complex concepts easy to understand. What impressed me most was the hands-on approach instead of limiting to theory, the sessions provided practical applications and real-world exercises that are exactly what we need as learners. The assessments were creative and thoughtfully designed, testing not just knowledge but true understanding and critical thinking.

I especially valued the balance of theory, application, and creativity, which inspired me with new ways to enhance my own teaching practices. My only suggestion would be to incorporate more domain-specific examples (such as healthcare, finance, or education) to help learners from diverse fields directly connect with the concepts.

Overall, this program was incredible, insightful, and highly impactful one that I would strongly recommend to educators, researchers, and professionals looking to make data-driven decisions with confidence.



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Curriculum: I found that it offered a comprehensive coverage of Python, statistics, regression, classification, hypothesis testing, machine learning algorithms, deep learning, recommendation systems, unstructured data analysis and causal inference. Each topic was reinforced with quizzes, projects and an end-of-course hackathon.

Instructors & Mentors: Our lecturers were MIT professors who provided a strong theoretical base, while the industry mentors and tutors helped us build on this knowledge and pairing this with practical insights into their application in sectors like banking, retail, e-commerce, and healthcare.
  Learning Experience: The course was delivered through on an online platform where our learning was supported with videos, readings, AI tools and discussion forums. Weekly mentorship sessions were interactive and application-focused giving us insights into industry best practices.

Job Support: The course offers post-graduation access to the learning platform, interview coaching, as well as a global alumni network to support my career growth.

Overall Impression: This is an intensive, high-value program that combines world-class instruction with hands-on application. It’s ideal for professionals looking to transition into or advance within data science and machine learning. I think that personal commitment, discipline and motivation/passion are the key to getting the most from it. I really enjoyed the program and what it did for me!

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🌟 Testimonial for the Johns Hopkins Applied Generative AI Program via Great Learning 🌟

I can not express enough gratitude for what this course has given me. Coming from a non-technical background, I would have never dared to imagine that I could build AI-powered applications, fine-tune large language models, or confidently navigate tools like Google Colab, LangChain, and OpenAI APIs. And yet… I can now!

Over the 16 weeks, I felt completely supported, empowered, and challenged. The curriculum was brilliantly structured: from foundational concepts like transformers and embeddings to hands-on projects with Retrieval-Augmented Generation (RAG), ethical AI, and real-world deployment. Week after week, I was learning by doing, not just listening. And by the time I presented my final capstone project, I realized how far I had come, not only technically but creatively and professionally.

As part of the optional homework, I also created an Advanced Multimodal RAG Prototype based on ethnoarchaeological research, which was only evaluated with encouraging feedback and it is now being developed into a real-world project. It has already been accepted for presentation at the University of Nottingham’s Cultural Heritage Management and Conservation Conference 2025, a milestone I could have never imagined achieving before this course. 

This program did much more than teaching me skills; it opened doors I didn’t even know existed. I now see myself able to step into the world of AI, applying what I learned across research, education, digital humanities, and beyond.

To anyone wondering if this course is “for them”, yes, it is. Especially if you think it’s not. That was me. And now, here I am, doing things I never even dared to dream.

With all my heart, thank you to the incredible team at Great Learning and Johns Hopkins University. This has been truly transformative.

Larissa Read less

Enrolling in Great Learning's program was a pivotal decision in my professional growth. The curriculum strikes the right balance between theoretical foundation and applied learning, with a clear focus on building real-world problem-solving abilities. What stood out most to me was the structured yet flexible format — it pushed me to stay disciplined, while also allowing room to explore deeper concepts at my own pace.

The mentorship and support system were major strengths. Instructors were knowledgeable and engaging, and the program managers provided consistent support, which made a big difference during intensive weeks. The hands-on projects, especially those based on real business cases, helped me apply new skills with confidence.

While challenging, the course never felt overwhelming thanks to the well-paced delivery and strong community of peers. I now feel equipped not just with technical tools, but with a problem-solving mindset that's essential in the field of data science. Read less

My experience in the Applied Data Science program has been nothing short of exceptional. The course offered a well-balanced mix of theory and real-world application, with an emphasis on hands-on learning through numerous practicals. The curriculum was thoughtfully designed, providing deep insights into data science tools, techniques, and problem-solving strategies. I was fortunate to learn from outstanding instructors, supported by dedicated program managers and insightful mentors who were always available to guide me. The collaborative environment further enriched the learning journey, encouraging knowledge sharing and teamwork. This program has not only sharpened my technical skills but also strengthened my confidence to solve real data challenges. Read less

I am just finishing my UT Austin Post Graduate Program in AI and ML. The program is well designed with foundational courses and then advances to Deep learning, Generative AI, Vision AI, and Model deployment. I love how comprehensive the program is and each course with it's final project where you get a chance to build professional level projects that you would do at work.

Lastly, the program manager is supportive around busy schedule. And proactive helped me number of times to manage my classes by reaching out to me. I highly recommend this program. Read less

Great Learning furnishes a remarkable team from program advisor to learning support team, to aid learners at every stage of their learning journey. I appreciate their considerable support, which helped me secure the AI certification in No Code AI and Machine Learning: Building Data Science Solutions from MIT Professional Education (MIT PE). Read less

I recently completed the MIT Pro course on No Code AI and Machine Learning, and it was a fantastic experience. The content was clear, practical, and easy to follow. What stood out most was the support from the instructors and team—they made learning smooth and engaging throughout.




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I recently finished the MIT No Code AI and Machine Learning: Building Data Science Solutions course, and honestly, it was one of the most rewarding learning experiences I’ve had in a while. Coming from a non-technical background, I was a bit nervous going in, but the way the content was delivered made it all feel approachable and easy to grasp. Everything was clear, concise, and to the point, no fluff, just solid learning.What really made the course stand out for me were the hands-on sessions and the real-world case studies. They didn’t just teach theory, they showed how AI and ML are actually applied in business. That perspective, especially the business interpretation side, was incredibly helpful for someone like me working in finance.The part I enjoyed the most was definitely the section on Generative AI and Prompt Engineering. It was so exciting to dive into how large language models work and how we can shape their responses through well-designed prompts. I’ve already started applying some of those ideas in my own projects.If you’re curious about AI/ML and want to learn how it’s being used across industries without needing to be super technical, I’d definitely recommend this course. Read less

 I recently completed the MIT NCAIML course, and I can confidently say it's one of the best AI/ML programs out there, especially for professionals from non-technical backgrounds. What stood out to me was how easy it was to comprehend – clear, concise, and straight to the point. The curriculum is brilliantly curated, offering practical hands-on sessions. I particularly valued the real-life case studies and the unique business interpretation of projects, which provided crucial insights into integrating AI/ML for financial professionals like myself. My favorite module was definitely prediction systems! I highly recommend this course to anyone aiming to understand AI/ML's practical applications and its impact across various business functions.  Read less

The Post Graduate Program in AIML from Great Learning, in collaboration with the University of Austin, has been an incredible experience. I genuinely feel this is one of the best programs available to level up your understanding of machine learning and neural networks. The curriculum is thoughtfully designed, balancing theory with practical application. Every project challenged me to think deeper and helped me build hands-on skills that are directly relevant to real-world scenarios.



What truly sets this program apart is the support system. The program managers and mentors have been outstanding—always available, responsive, and genuinely invested in my learning journey. Their guidance made a big difference in keeping me motivated and on track.



Overall, I’m extremely satisfied with the experience and the knowledge I’ve gained. Thank you, Great Learning, for creating such a well-structured and impactful program. Read less

A highly structured and comprehensive course featuring in-depth content, engaging case studies, and robust supporting materials. The quality of the sessions, resources, and assessments is excellent, providing a solid foundation. This course serves as an ideal introduction to AI and Machine Learning, effectively clarifying underlying concepts and exceeding expectations in delivering a valuable learning experience. Read less

Taking the No-Code AI & Machine Learning course from MIT Professional Education in collaboration with Great Learning has been a truly transformative experience. The program stands out for its deeply immersive and hands-on approach, making complex concepts in artificial intelligence and machine learning accessible even for those without a technical background.What I appreciated the most was the practical application of every module — we were constantly working on real-world use cases, using cutting-edge tools that are already being applied in the industry. This not only solidified the knowledge but also boosted our confidence to implement AI-driven solutions in our own business environments.The faculty was exceptional. Every professor demonstrated remarkable clarity, expertise, and an outstanding pedagogical approach. Their genuine dedication to our learning was evident throughout the course. They were always willing to go the extra mile to ensure each student understood the material and was fully prepared for the next stage.I highly recommend this course to professionals looking to harness the power of AI without the need for coding. Whether you're in business, strategy, marketing, or operations, this course empowers you with the tools and mindset to lead AI initiatives confidently. One of the best learning investments I've made. Read less