Great Learning Bewertungen 

I was delighted with both the content and organisation of the AI for Leaders program from University of Texas and Great Learning. Good pacing, layering material from basics to complex topics, good quality of the video lessons, assignments and industry sessions, very handy playform with an app (all materials, announcements and reminders in one place) and constant program manager support over messengers. Thank you!

Awesome learning experience, good faculties and challenging Capstone projects.

I enjoyed taking the AI in Healthcare course because although I am not currently working in an institution that is implementing AI tools, the course has enabled me to learn the relevant skills and considerations for a future AI implementation project. The instructors are also both leaders in the field and were helpful in effectively teaching the material.

Great Learning along side with Johns Hopkins Whiting School of Engineering program in Agentic AI has provided the concepts, foundation and exceptional experience in grasping the knowledge in latest advancements in AI technologies. Starting from the Weekend Workshops, to self-paced course material from Professors at the University and mentored learning sessions as well as the Program Manager (Aparajita), it was a collaborative, interactive and great learning sessions. I would surely recommend others for the Course.

The platform is well organized, the contents, alerts, messaging, followups and such are always on time the content is easy to access and video-sessions are always in sync with the material provided.

Plenty of good material, beginning from basics and developing so people new to the subject can understand and make good progress.

Great curriculum. Ease of following along and time to process and ask questions. Overall, a great experience.

Overall, an excellent and highly informative course!

This feels like cream of the crop of AI in Healthcare certificates. From organized lectures that invite class collaboration to the Professors' embodied experience of AI/ML and the well structured materials and interface, its the perfect trifecta of education. Top notch!

Amazing helpful staff, so much knowledge

This course: Generative AI for business applications was top-notch, I highly recommend it for seasoned professionals. Amazing faculty, program very thorough and hands-on and the support staff from Great Learning and the University of Texas at Austin, McCombs School of Business are always ready to help and very proactive

I enrolled in the JHU Applied Generative AI course to explore how generative AI could enhance decision support, accelerate analysis, and improve operational efficiency without compromising reliability, traceability, or security. In my work supporting government departments as a systems engineer, integration and risk management are paramount. The course addressed these realities directly by covering model limitations, hallucination risks, evaluation metrics, and strategies for human in the loop oversight.

I would strongly recommend the John Hopkins University Applied Generative AI course to anyone that has an interest in AI. It provided an excellent understanding of working with AI and how fast it is growing.

The amount of material presented each week has been doable. The online video trainings have been well done. The weekend sessions have been informative as well. Happy thus far. Thanks

The LMS system was very stable, easy to read, and simple to navigate. Program management support was excellent and always prompt. The course was well planned, and the timely reminders helped me stay on track.

This program has been truly transformative. I didn’t just learn about AI—I gained a deep, practical understanding of its real-world applications and the confidence to lead AI initiatives from start to finish. I now feel fully equipped to drive meaningful business improvements and create lasting impact. My sincere appreciation to the exceptional faculty, the dedicated program manager, and my inspiring classmates for an unforgettable learning experience.

The AI in Healthcare Program at Johns Hopkins University, delivered by Great Learning, is an outstanding course that I highly recommend to clinicians who want to engage meaningfully with artificial intelligence while safeguarding evidence-based practice. As a healthcare professional without coding or technical expertise, I found the curriculum accessible, structured, and directly applicable to real-world clinical settings. The program thoughtfully integrates ethics, bias, and clinical accountability with practical applications, particularly in predictive analytics for chronic disease management, demonstrating how AI can enhance patient care when guided by sound medical judgment.
What I value most is the program’s clear message that clinicians must play an active role in shaping AI, so it advances patient-centered, evidence-based medicine rather than purely business innovation. The masterclasses, live sessions, and well-designed lectures create an engaging learning experience that builds both confidence and enthusiasm for continued growth in this field. I strongly recommend this course to medical and allied health professionals who want to remain forward-thinking, impactful, and responsibly involved in the future of healthcare.

This is a great program which has provided a useful foundation in my understanding of the building blocks of artificial intelligence (AI) and the rapidly evolving landscape of Agentic AI. I found the combination of presentation notes, aligned with lecturers videos and mentored learning sessions helpful in providing stepping stones in my develop of skills in the application of Agentic AI in real-world scenarios. The program support was very helpful with the speedy resolution of queries and responses to my questions. A great experience and well worth the money.

I’m currently enrolled in the Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications at the University of Texas at Austin, offered through Great Learning, and I’m about halfway through the program.
What I appreciate most is the hands-on approach—ready-to-use Python code and real-world project examples make it easier to grasp concepts and apply them immediately. The mentor-led weekend sessions are especially valuable, providing opportunities to ask questions and learn directly from experienced professionals.
Before enrolling, I was concerned about balancing work, studies, and personal life. However, with a well-structured curriculum and a reasonable amount of mandatory coursework and assignments, I’ve found the workload manageable with moderate effort.
I would highly recommend this program to working professionals who are intellectually curious and looking to deepen their AI/ML expertise while advancing their careers.

I recently completed the University of Texas at Austin’s AI for Leaders postgraduate program, delivered by Great Learning, and it was an outstanding experience.

This was my first online academic program and also my first formal step into AI studies, so I started with high expectations. The experience exceeded those expectations on every level.

The asynchronous content was well-structured, clear, and highly relevant for leaders who want to understand and apply AI. The practical exercises were especially valuable, helping translate concepts into real-world thinking and decision-making. The faculty demonstrated deep knowledge of both the technical and strategic dimensions of AI, and the industry live sessions were led by true practitioners.

I also found the platform intuitive and easy to navigate, which made the learning experience smooth and efficient. The program was intensive, but also engaging and rewarding throughout.

A special five stars to the Program Manager assigned to me. Her support, responsiveness, and guidance throughout the journey made a real difference.

I enjoyed the experience so much that I’m planning to continue my AI learning journey with similar programs later this year. I highly recommend this program to leaders and professionals who want a solid, practical, and forward-looking foundation in AI.

Ronald