12:40
Episode 01
Python AI/ML Lab Setup for NVIDIA RTX and Jetson
A practical starter walkthrough for setting up Python, CUDA-aware tooling, model environments, and project folders for repeatable AI experiments.
Python training for AI builders
Learn AI/ML on real NVIDIA hardware.
GioPython.ai will showcase practical YouTube training for Python developers building computer vision, local inference, automation, and edge AI workflows on NVIDIA RTX, Jetson Orin, and Jetson AGX platforms.
Coming soon on YouTube
Featured training series preview.
Training tracks
Structured paths from Python basics to edge AI deployment.
Python for AI/ML
Core Python, environments, data handling, notebooks, APIs, and practical project structure.
Model Workflows
Training, evaluation, inference, computer vision, local LLM patterns, and automation loops.
NVIDIA Deployment
RTX acceleration, TensorRT exports, Jetson Orin setup, AGX deployment, and edge performance tuning.
Video library
Placeholder lessons ready for your first uploads.
09:15
Python Foundations
Clean Python Environments for AI Projects
14:20
NVIDIA RTX
Running Local Inference on an RTX Workstation
18:05
Jetson Orin
Deploying a Computer Vision Model to Jetson Orin
16:30
AGX Platform
Edge AI Performance Checks on Jetson AGX
11:50
Computer Vision
Object Detection Pipelines with Python
13:45
ML Workflow
From Notebook Experiment to Repeatable Script
Hardware focus
Training built around the machines people actually use.
The content roadmap centers on practical development across desktop GPUs and embedded AI devices, with attention to setup, deployment, debugging, and performance.
RTX
Desktop GPU workflows for model development, acceleration, and local AI experimentation.
Orin
Jetson Orin lessons for edge AI, camera pipelines, robotics-adjacent workflows, and deployment.
AGX
Higher-performance embedded training for production-style edge inference and optimization.
Stay tuned
The training library is getting ready for launch.
Replace the placeholder cards with real YouTube embeds as soon as your first lessons are published, or use this page now as a professional front door for the channel.
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