This IBM Generative AI Engineering technical microcredential will equip you with the in-demand skills you need to build, fine-tune, and deploy the next generation of generative AI applications and solutions — 100% online.
On completion of this IBM generative AI course, you’ll walk away with: A solid foundation in generative AI concepts, including LLM architecture, data preparation, and prompt engineering. Proficiency in building and deploying AI models using Python and leveraging tools like PyTorch, Keras, and LangChain. The ability to apply advanced techniques for fine-tuning transformers and optimizing LLM performance for various applications. Experience building generative AI solutions, including Retrieval-Augmented Generation (RAG) models and AI agents for automation. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
On completion of this IBM generative AI course, you’ll walk away with: A solid foundation in generative AI concepts, including LLM architecture, data preparation, and prompt engineering. Proficiency in building and deploying AI models using Python and leveraging tools like PyTorch, Keras, and LangChain. The ability to apply advanced techniques for fine-tuning transformers and optimizing LLM performance for various applications. Experience building generative AI solutions, including Retrieval-Augmented Generation (RAG) models and AI agents for automation. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
