Introduction to NVIDIA NIM Microservices
This introductory, no-code course by NVIDIA's Deep Learning Institute (DLI) provides an overview of NVIDIA Inference Microservices (NIM). Participants will learn how NIM simplifies the deployment of generative AI applications by offering prepackaged, GPU-accelerated microservices for various AI models. The course covers the architecture of NIM, its components, and how to deploy and utilize these microservices effectively.
Who Should Take This Course:
Developers, data scientists, and AI enthusiasts interested in deploying generative AI applications without the need for extensive coding. A basic understanding of AI concepts is recommended.
What You Will Learn:
• Fundamentals of NVIDIA Inference Microservices (NIM)
• Architecture and components of NIM
• How to deploy NIM microservices on various platforms
• Utilizing NIM for building and deploying generative AI applications
Why This Course Matters:
As the demand for generative AI applications grows, the need for efficient deployment solutions becomes crucial. NVIDIA NIM provides a streamlined approach to deploying AI models, enabling faster development and scaling of AI applications. This course equips learners with the knowledge to leverage NIM in their AI projects, enhancing productivity and innovation.