Mostly all the lessons are AI generated and the explanation looks simply bad.

Videos can be more intuitive for better engaging focus

WORST TEACHINGS HERE, NOT PROPERLY TAUGHT. EXPECTED MUCH BETTER .... I WANTED TO DOWNLOAD ALL THE PDF AND PPT SLIDES SHOWN IN THE VIDEOS. FOR SOME REASON I DONT FIND ANY ??? REALLY WORST TEACHERS HERE , THEY DONT PROVIDE PDF FILES FOR THE PRESENTATION. I WILL NOT RECOMMEND THIS COURSE TO ANYONE

This course provides a clear and practical introduction to building generative AI applications. The examples are well-structured, and the quizzes reinforce the key concepts around models, prompting, LangChain, RAG, and fine-tuning. I especially appreciated how real-world scenarios were used to explain complex ideas in a simple way. A great starting point for anyone looking to get hands-on with generative AI.

IMO, the ungraded app items with the application explanations and examples are excellent learning and practicing tools, which provide the most straightforward way to get to the point and develop proper intuition and knowledge. Personally I spent quite a longer time with them, then the course schedule suggests - and this obviously required longer use of the corresponding shared resources.

Working through the provided lab is the key to getting the most out of this course.

Good introduction - and a smart ad for IBM.

Course is out to date. The theory is still valid, but most of the practical and labs is out to date with libraries and implementation with old version. Would be very helpful if before take the course we know the last programa, course and lesson updates to make a better choice. For example: Some course we can find "Recently updated! February 2026", but most of them we do not know.

The title should be "An intro tutorial in LangChain and Flask with basics on Prompt Engineering". Please get rid of the AI voice. It's really hard to understand and follow. The voice is very "forced" and clips the syllables.

All the lab exercises are outdated. The llms provided by coursera are not compatible with the environment provided in coursera. Even the solution provided by coursera has errors sometimes. Due to this, I had to reprogram multiple parts of the practices, taking longer than the expected time (1h). As a result, I haven't been able to complete the practices as my schedule passed. I'm working while I learn this course and fixing the inconsistencies of the examples provided by the course just consumes too much time for me and I'm not being able to complete everything on time.

Most of the contents are taught by an AI voice, which is very monotonous, same-paced and lacks any immersive experience. This is just a very fast-paced reading by some AI, not teaching something meaningfully. Waste of time!

Most of the content is poor quality, repetitive, surface-level, and entirely AI generated (both the script and audio). Also the lab doesn't work and nobody is responding to people complaining about it on the forums

Worst course I have attended on Coursera. Lot of repetitions, videos of people writing on whiteboards for the most inefficient learning, far too much IBM centred instead general concepts.

Lots of repeat material. Robotic fast paced audio. No pause anywhere. No slides. Incompatible outside of IBM AI framework.

Useless. The potentially interesting parts (vector databases) are simply missing.

El curso me pareció muy completo y bien estructurado, especialmente para entender cómo funcionan los sistemas de IA agéntica modernos. Explica de manera clara los conceptos clave como agentes, flujos de trabajo, orquestación, paralelización, y cómo aplicarlos con frameworks reales como CrewAI, LangGraph, AG2 y BeeAI. Me gustó que no se quedara solo en teoría: muestra buenas prácticas, patrones de diseño, ejemplos de código reales y casos de uso prácticos. BeeAI fue una de las partes más interesantes, porque enseña cómo usar async/await, memoria, prompts dinámicos y salidas estructuradas con Pydantic, cosas que sí se usan en producción. También se valora que comparen diferentes frameworks y expliquen cuándo usar cada uno. En general, el curso da una visión moderna y actualizada de cómo construir sistemas multiagente, y te deja preparado para aplicarlo en proyectos reales. Recomendado si quieres pasar del uso básico de LLMs a construir sistemas inteligentes completos y escalables.

As a Strategic Sales Consultant, I found Develop Generative AI Applications: Get Started highly valuable. The course provides clear insights into generative AI and its practical applications in business, helping me understand how to leverage AI for client solutions, optimize workflows, and enhance sales strategies. It strengthened both my technical knowledge and ability to apply AI-driven strategies for tangible business impact. Highly recommended for sales professionals exploring AI.

I already have ang working experience with this, but this serves as a refresher and deep learning what's happening under the hood esp the concepts and implementation, making it more easier to work with AI using the correct terms, approach and methodoloties. I really appreciate this course especially the last two courses. Awesome!

Great intro course for folks with familiarity of the concepts of AI that starts to cover the interactions with the LLM using tools like FLASK instead of just covering basic concepts like prompting and AI basics. As the first in the series, i am excited to see what the rest of the course has to offer. Highly suggest.

A very good course with lots of hands-on knowledge! Only criticism for authors is that some of the AI models used in exercises have become outdated and are not available in the IBM WatsonX repository.