Thank you for sending your enquiry! One of our team member will contact you shortly.
Thank you for sending your booking! One of our team member will contact you shortly.
Course Outline
Introduction
Setting up TensorFlow Extended (TFX)
Overview of TFX Features and Architecture
Understanding Pipelines and Components
Working with TFX Components
Ingesting Data
Validating Data
Tranforming a Data Set
Analyzing a Model
Feature Engineering
Training a Model
Orchestrating a TFX Pipeline
Managing Meta Data for ML Pipelines
Model Versioning with TensorFlow Serving
Deploying a Model to Production
Troubleshooting
Summary and Conclusion
Requirements
- An understanding of DevOps concepts
- Machine learning development experience
- Python programming experience
Audience
- Data scientists
- ML engineers
- Operation engineers
Testimonials
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Related Courses
Deep Learning with TensorFlow
21 hours
TensorFlow for Image Recognition
28 hours
Deep Learning for Vision
21 hours
TensorFlow Serving
7 hours
Understanding Deep Neural Networks
35 hours
Applied AI from Scratch
28 hours
Deep Learning with TensorFlow 2
21 hours
Machine Learning with TensorFlow.js
14 hours
Kubeflow on OpenShift
28 hours