Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs. You’ll then dive deeper into LangChain, mastering chains, tools, and agents to create smarter, more responsive applications. Through interactive labs, you’ll build a complete generative AI app using Python that accepts user input and processes it through your backend prompt logic. Plus, you’ll explore web-based interfaces using tools like Flask and Gradio, developing real-time user experiences powered by LLMs. By the end, you’ll have the job-ready skills and demonstrable practical experience employers look for to design and implement full-stack GenAI apps that solve real-world problems. Sound good? Enroll today!
GS
The content covered is very comprehensive and helpful! Would be good if there was less help with the coding tasks, as that would push the learner to memorize things more!
VS
Pretty good course, although would have preferred if the online editor and model imports worked properly.
DD
Very detailed and comprehensive. Despite the amount of topics, explanation by the instructors were very easy to understand and covered all the key concepts.
KP
Overall great course on Gen AI but there are some LangChain code snippets to be modified especially in the guide project because of version changes.
SR
Excellent introduction to LangChain, prompt engineering, and Flask. The course is clear, practical, and beginner-friendly.
AS
giving 4 stars as no support is provided by teachers. you can not ask deep questions from AI
BF
The course itself is good, informative and well structured. However, the labs need to be updated to the most recent version of Langchain.
MM
HandsOn Lab is good but the LangChain versions used could have been v0.1.17 or above to learn the latest features.
SM
The course is perfect for a beginner; however, concepts can be little bit more explainable.
AG
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 Only criticism for authors is that some of the AI models used in exercises have become outdated and are not available in the IBM WatsonX repository.
MS
The Jupyter notebooks needs to be updated. There are many errors when trying to run the cels because of outdated versions being run.
CA
Good starting point. The only glitch is the code that requires some adjustments.
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Mostly all the lessons are AI generated and the explanation looks simply bad.
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.
Good overall but; - Some outdated knowledge (covers LangChain 0.2 while 1.0 is already out) - Labs are very wordy. - Labs estimated time to finish don't reflect actual time needed (one lab took me 3h instead of 1h).
Videos can be more intuitive for better engaging focus
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.
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.
I would say the course and especially the readings and questions are mainly AI generated. The topics are clearly layed out, but the questions are just randomly associated with those topics and do not contribute to any understanding.
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.
The subject matter is relevant and worth learning, but the execution is poor. Labs have multiple bugs that were never caught before publishing — including broken starter code where custom parameters are silently ignored, making entire exercises non-functional. The lesson I'm on is listed as 45 minutes; I've spent several hours on it due to bugs alone. What makes this worse is that this is IBM. IBM built its name on precision, quality, and getting things right. This course is none of those things — it's lazy, untested, and beneath the IBM brand. They're offering a certificate at the end of this specialization. But ask yourself: would IBM actually hire someone whose qualification was this certificate? Based on the standard they've applied to building it, the answer is no. When I reported a previous issue, Coursera pointed at IBM and IBM pointed at Coursera. Neither prorated my subscription for the time I lost. If you're paying by the month, these bugs cost you real money. Proceed with that in mind.
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.