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Applied AI Systems

Introducing Kubrick Course - A Multimodal Agent powered by MCP
Free course on building an AI Agent that understands Images, Audio and Video.
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Alex Razvant
2
7 Frameworks and Toolkits you must know for AI and Deep Learning
Concise set of diagrams and summaries of popular NVIDIA libraries used by AI/ML Engineers across all ML, DL, and GenAI.
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Alex Razvant
Complete Overview in Vision AI 2025
From Pixels to Vision Language Models. Updated periodically.
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Alex Razvant
2
Building robust ML model pipelines in Triton deployments
Detach processing stages from Python to Triton Inference Server. Build a custom Python Backend and compose a Model Pipeline.
Part II - Deploying Ultralytics YOLO11 to Production Environments
Configuring, deploying and testing YOLO11 with Triton Inference Server. Using Supervision to draw detections on images.
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Alex Razvant
Part I - Deploying Ultralytics YOLO11 to Production Environments
Learn to optimize YOLO11 (SOTA model for Object Detection) using NVIDIA TensorRT Compiler and NVIDIA Triton in a step-by-step walkthrough.
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Alex Razvant
How to maximise performance when working with large datasets (100+ GB).
Streaming data directly from Storage. Ensuring data privacy, governance and optimise model training on very large datasets.
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Alex Razvant
Practical techniques on processing Video for Vision AI Systems.
Understand Image Color formats. Use pre-allocated memory buffers to process images, and learn 8 useful FFmpeg CLI commands for video/image manipulation.
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Alex Razvant
Intro to Video Streaming for AI Computer Vision Applications
Build a server-client video streaming application using FastAPI Websockets and ReactJS.
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Alex Razvant
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