Learn how to leverage NVIDIA's TAO (Train, Adapt, and Optimize) toolkit in this 54-minute video tutorial that demonstrates low-code AI model development. Explore the capabilities of this powerful toolkit built on TensorFlow and PyTorch, which eliminates the complexity of deep learning frameworks and model development. Discover how to select from over 100 pre-trained vision AI models available through NGC and customize them for specific datasets without writing code. Master the process of fine-tuning models and generating ONNX-formatted outputs that can be deployed across any ONNX-compatible platform. Follow along with practical examples using the provided GitHub repository, which includes detailed code implementations for multitask classification tasks.