Rapid Application Development with LLMs NVRADLLM-QA

NVRADLLM-QA
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Recent advances in large language models have created unprecedented opportunities for organisations to streamline operations, reduce costs, and improve productivity at scale. We believe organisations of the future will combine human and machine intelligence to learn, master, and apply AI capabilities quickly and effectively.This course provides a comprehensive, practical introduction to LLM application development using the open-source ecosystem. Learners explore pretrained models from the Hugging Face repository, work directly with the Transformers API, and build task-specific and generative solutions. The course progresses from Transformer fundamentals to multimodal architectures and agentic orchestration using LangChain, equipping participants to design safe, scalable, and enterprise-ready LLM-powered applications.

Navigate, evaluate, and experiment with models from the Hugging Face model repository
Use the Transformers API to load, configure, and deploy pretrained LLMs
Apply encoder-based models for tasks such as semantic analysis, embeddings, question answering, and zero-shot classification
Work with decoder-style and encoder-decoder architectures for text generation and sequence-to-sequence tasks
Integrate multimodal models to combine text, image, and audio inputs within unified workflows
Design and guide generative AI solutions that are safe, effective, and scalable
Use LangChain to orchestrate LLM pipelines, tools, and agentic workflows
Incorporate inference and deployment strategies to support enterprise-scale applications

Rapid Application Development with LLMs

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