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CourseraIBM Generative AI Engineering
4.7(99,680)159k studentsBEGINNEREnglish
Korshub's take
Korshub Take
IBM's Generative AI Engineering certificate targets a fast-moving corner of the AI job market: building with generative models rather than just using them. It's positioned as beginner-friendly despite the advanced-sounding subject matter, easing learners into the engineering side of gen AI.
The scope goes beyond prompting — covering natural language processing, retrieval-augmented generation, and the agentic systems increasingly used to build autonomous AI applications, alongside a focus on responsible AI practices.
- Generative model architectures and NLP
- Retrieval-augmented generation (RAG)
- Agentic AI systems and responsible AI
With 159,113 students already enrolled, it's a practical route for developers who want hands-on generative AI engineering skills, not just theory.
About this course
Offered by IBM. Develop job-ready gen AI skills employers need. Build highly sought-after gen AI engineering skills and practical experience ... Enroll for free.
Skills you'll gain: Generative AI, Natural Language Processing, Responsible AI, Prompt Engineering Tools, Generative Model Architectures, Risking, Retrieval-Augmented Generation, Agentic systems, Machine Learning Algorithms, Generative AI Agents, Machine Learning Methods, LLM Application, AI literacy, Prompt Patterns.
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Coursera PlusIncluded with a Coursera subscription
This course is included with a Coursera Plus subscription.
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