What You'll Learn
- Architect and deploy GPU-accelerated AI pipelines using NVIDIA hardware (A100, H100, L4, Jetson) and the full NVIDIA AI Enterprise software stack.
- Optimize AI models for performance and efficiency using TensorRT, TAO Toolkit, and advanced quantization techniques for both cloud and edge deployments.
- Implement real-time AI applications with DeepStream, RAPIDS, and Triton Inference Server for video analytics, sensor fusion, and data processing.
- Integrate AI solutions with cloud, edge, and digital twin environments, leveraging Kubernetes, Helm, and Omniverse for scalable deployment and simulation.
- Apply security, licensing, and containerization best practices to ensure enterprise-grade reliability and compliance in AI systems.
Requirements
- Basic understanding of AI/ML concepts such as training, inference, and model deployment.
- Familiarity with Linux command-line operations (Ubuntu recommended).
- Basic knowledge of Docker and containerization (helpful but not mandatory — key concepts are covered in the course).
- Access to a GPU-enabled system (NVIDIA A100, H100, L4, or Jetson Orin/Xavier) or cloud GPU instance (AWS, Azure, DGX Cloud).
- Stable internet connection for downloading NVIDIA NGC containers, pretrained models, and SDKs.
- Curiosity and a willingness to learn hands-on through labs and real-world projects.
Who This Course is For
- AI/ML Developers looking to move beyond model training into real-world deployment and optimization on NVIDIA hardware.
- Edge AI Engineers working with Jetson devices and IoT sensor integration for real-time applications.
- System Architects and DevOps Engineers responsible for cloud-native AI infrastructure, Kubernetes orchestration, and containerized AI workloads.
- Technical Product Managers and Solution Engineers who need a deep, hands-on understanding of NVIDIA AI Enterprise, DeepStream, RAPIDS, Triton, and Omniverse.
- Researchers aiming to deploy optimized AI pipelines in high-performance computing or industry-specific environments like healthcare, smart cities, robotics, or manufacturing.
Your Instructor
Vivian Aranha
AI Specialist | IT Professional Trainer | Principal Engineer
4.1 Instructor Rating
2,095 Reviews
96,452 Students
8 Courses
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