Nvidia Jetson

Overview of the Course:

The NVIDIA® Jetson NanoTM Developer Kit is light weigh, portable and user friendly AI hardware platform used to develop state of the art mobility application by applying compute intensive sophisticated deep learning techniques. It supports a wider community of maker, learners and developers to design and develop efficient mobility solutions.

Internship Objective:

To acclimatize with predictive / forecasting analysis based on various modelling techniques to access parametric / non parametric distribution in application specific process by

• Making the Students Well Versed With the Hardware platform.
• Extensive Rigor toward innovative Application Development

Prerequisite:

• Scripting Language Python
• Basic Understanding Machine Learning
• Deep Learning
• Reinforcement Learning

Skill Developed:

Programming Languages: Python

Deep learning Frameworks: Keras, Tensorflow

Computer Vision Frameworks: OpenCV

Hardware Interfacing : Sensor Fusion

Flow of the Internship Program :

Step 1: Prerequisite Training

Step 2: 2 days workshop by Nividia resource person on Jetson Nano

Step 3: Project Proposal Step 4: Implementation of the Project

Step 5: Final Presentation and Certification

Learn Python:

1. Colab file: http://bit.do/python-ipynb
2. (or https://colab.research.google.com/drive/1R0qxFb4yPIRdeqo8rScb2CJmFp1qgkBA)

• Make your own copy by saving to your google drive