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coursesFreemium13hText Generation
DevelopersAI EngineersData Scientists
Learn to deploy large language models and generative AI applications using NVIDIA tools and platforms.

Overview

This course, part of the NVIDIA Deep Learning Institute (DLI) collection, empowers learners to master the deployment of cutting-edge large language models (LLMs) and generative AI applications. Through hands-on labs and expert-led instruction, you will delve into critical deployment strategies, including model optimization, inference at scale, and secure integration into real-world systems. The curriculum covers techniques for fine-tuning, evaluating, and deploying models on NVIDIA platforms, ensuring high performance and efficiency. Designed for developers, AI engineers, and data scientists, this course bridges the gap between theoretical knowledge and practical, scalable AI implementation.

Instructor

NVIDIA Deep Learning Institute

Education & Training Arm of NVIDIA

The NVIDIA Deep Learning Institute (DLI) provides hands-on training for developers, data scientists, and researchers looking to solve challenging problems with AI and accelerated computing.

Learning Outcomes

  • Deploy LLMs and generative AI models using NVIDIA Triton Inference Server.
  • Optimize LLM performance with NVIDIA TensorRT-LLM for faster inference.
  • Scale generative AI workloads using NVIDIA NeMo and microservice architectures.
  • Integrate generative AI applications into production environments efficiently.
  • Evaluate and fine-tune deployed models for enhanced accuracy and reliability.