Enhance your career in the high-growth field of artificial intelligence with advanced skills in generative AI. This program is designed to equip you with advanced techniques and tools such as prompt engineering, Agentic, and multimodal AI integration, enabling you to create sophisticated & context-aware AI applications. This program will teach you advanced AI skills including developing efficient Retrieval-Augmented Generation (RAG) pipelines, integrating multimodal AI for text, image, and audio processing, as well as designing autonomous multiagent systems. The program will not only help you advance your career in AI but also provides a strong foundation for future career development in areas such as advanced data science, deep learning, and AI-driven automation. You’ll also utilize the latest tools used by AI experts, including integrating external tools and APIs with AI agents, orchestrating complex workflows using LangChain and LangGraph, and frameworks like CrewAI, AG2, BeeAI, and Model Context Protocol (MCP). When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. This program is ideal for software developers, machine learning engineers, data scientists, and anyone with Python programming experience who wants to level up their AI engineering game. Enroll today and master the latest generative AI technologies at the forefront of innovation!
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!
RR
Despite being well structured course material and passing relevant experinece, the code showcased, the libraries used are outdated.
AA
Very detailed and useful course in tersm of understanding fundamentals of Vector DBs. The last Lab project is very useful.
MK
Its a wonderful course I got so far. I completed this and got good grasp in advanced vector DBs and finally ended with good profile of Gen AI Engineer lead role. Must watch.
MH
Wow, It was next Level Experience to learn the Multimodal Gen AI Development. Truly Amazing.
KL
The labs are excellent and the course lays out the basics perfectly
JJ
Good, Make it a little more clear on teaching the code and specific functions for agentic systems
RS
Excellent course. Covers practical example of Agentic AI with LanGraph , CrewAI , AutoGen and BeeAI. Course also includes Lab implementation of all concepts covered.
DW
MCP is an interesting technology, and this course provides a solid foundation in its architecture. The hands-on labs complement the theory with practical examples.
VS
Pretty good course, although would have preferred if the online editor and model imports worked properly.
DB
Good but the lab was out of date, the dependencies and LLM calling didnt work
NN
I'm impressed with the use case demonstrated and learnt a lot on how RAG works internally!
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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.
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.