AI Computing Hardware Skills Badge

Issued by Lockheed Martin

The badge earner will be able to process data, develop and deploy ML models using Tensorflow. Earners will be able to implement advanced deployment scenarios, calculate gradients, build custom training loops, explain graph vs eager models, and implement distributed training. Earners will learn to use a NUMBA compiler, create custom CUDA kernels, and apply GPU memory management. This badge is available to Lockheed Martin employees only. Links within this page may only be accessible to employees.

Additional Details

Skills

Artificial Intelligence
CUDA Python
Differentiation
Distributed Training
GradientTape API
Graphics Processing Unit
Hyperparameter
Machine Learning
Model Deployment
Numba
Parallel Programming
Python
TensorBoard
TensorFlow
TensorFlow Data Services
TensorFlow Lite
Tensor Processing Unit

Earning Criteria

To earn this badge, learners must complete: A 30-hour Coursera specialization in TensorFlow Data and Deployment, including four online courses
A 9-hour Coursera online course on custom and distributed training with TensorFlow
Assessments and graded assignments in Coursera (require 80% accuracy)
An 8-hour NVIDIA instructor-led course on fundamentals of accelerated computing with CUDA Python