The course has multiple content and quality issues that seriously affect the learning experience. The explanations are often repetitive and contradictory—for example, the same topic is redefined multiple times with conflicting details. Some sections also contain technically incorrect information, forcing learners to rely on external sources like ChatGPT for clarification. The hands-on labs have coding issues and unclear instructions. If extra steps are needed beyond the given solution, they should be clearly mentioned. I appreciate that some lab fixes were made quickly.
Several theoretical sections are confusing, with complex terms misused and quiz questions that are incomplete or unnecessarily tricky, which adds no learning value. The writing quality is poor, with grammatical mistakes and technically inaccurate statements, which is disappointing from a reputed company.
Code screenshots are low-quality and hard to read, there are numerous typos and repetitions, and there’s no guidance on running projects locally. The content feels overloaded with theory and lacks practical balance. The discussion forum is also unreliable—slow to respond and often unhelpful.
In the final project, the instructions are very confusing. Axios was only taught for external APIs, with no mention of using it for local APIs. ChatGPT and the coach were the only real sources of help. The project feels disconnected from the theory—many concepts taught earlier were not applied or explained in context.
Overall, this course feels unpolished and below professional standards. For a paid course from IBM, I expected organized, accurate, and professionally written content. I’d recommend it only to full-time learners, not working professionals who don’t have time to untangle unclear content or wait for vague forum replies. Please review and update the material to match the quality expected from IBM.
