TensorFlow Extended Courses and Certifications

TensorFlow

TensorFlow Extended - TFX Overview and Pre-Training Workflow

Explore TensorFlow Extended's pre-training workflow, focusing on data validation and transformation for robust machine learning pipelines. Learn key components and best practices for efficient ML development.

• YouTube
• 32 minutes
• On-Demand
• Free Video

A Complete Guide on TensorFlow 2.0 using Keras API

2004 ratings at Udemy

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

• Udemy
• 13 hours 6 minutes
• On-Demand
• Paid Course

TensorFlow: Basic to Advanced - 100 Projects in 100 Days

205 ratings at Udemy

Flexible, Scalable, Open-Source Machine Learning Framework(AI)

• Udemy
• 5 hours 56 minutes
• On-Demand
• Paid Course

TensorFlow

TensorFlow Extended - Machine Learning Pipelines and Model Understanding

Explore TFX for building production-ready ML pipelines. Learn data processing, model analysis, and versioning techniques for large datasets, enhancing your machine learning workflow.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Orchestrating a TFX Pipeline with Airflow

In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

TensorFlow

TensorFlow Extended

Learn TensorFlow Extended (TFX) for production ML pipelines, covering workflows, metadata, distributed processing, model understanding, and continuous retraining for effective MLOps implementation.

• YouTube
• 10 hours
• On-Demand
• Free Video

Deploying ML at Scale with Kubernetes and TFX

Learn to deploy machine learning models at scale using Kubernetes and TensorFlow Extended (TFX), enhancing your ability to manage and scale ML workflows efficiently.

• YouTube
• 42 minutes
• On-Demand
• Free Video

A Year of Democratizing ML With Kubernetes & Kubeflow

Explore Kubeflow 1.0's new features for democratizing machine learning on Kubernetes, including web-based UI, simplified setup, and sophisticated ML tooling for end-to-end solutions.

• YouTube
• 36 minutes
• On-Demand
• Conference Talk

Toronto Machine Learning Series (TMLS)

Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits

Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.

• YouTube
• 40 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Production ML for Mission-Critical Applications

Explore rigorous approaches for deploying ML in production, addressing scalability, testability, and performance analysis. Learn about TensorFlow Extended for large-scale applications.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

TensorFlow

Coding TensorFlow

Comprehensive series exploring TensorFlow's capabilities, from basics to advanced topics like NLP, computer vision, and recommendation systems. Hands-on coding tutorials for various ML applications.

• YouTube
• 5 hours
• On-Demand
• Free Video

ML Pipelines on Google Cloud - Français

Explorez les pipelines ML avec TensorFlow Extended, Cloud Composer et MLflow. Apprenez à orchestrer, automatiser et gérer le cycle de vie complet du ML sur Google Cloud.

• Coursera
• 4 hours
• On-Demand
• Paid Course

ML Pipelines on Google Cloud - Português

Aprenda a criar e gerenciar pipelines de ML eficientes usando TensorFlow Extended, Cloud Composer e MLflow. Domine automação, orquestração e gerenciamento de metadados em diversos frameworks de machine learning.

• Coursera
• 4 hours
• On-Demand
• Paid Course

ML Pipelines on Google Cloud

92 ratings at Coursera

Learn to build, automate, and manage ML pipelines using TensorFlow Extended, Cloud Composer, and MLflow for efficient and scalable machine learning workflows on Google Cloud.

• Coursera
• 4 hours 30 minutes
• Finished
• Free Online Course (Audit)

ML Pipelines on Google Cloud - Locales

Aprenda a criar e gerenciar pipelines de ML eficientes usando TensorFlow Extended, Cloud Composer e MLflow. Domine automação, reutilização e orquestração em várias estruturas de ML no Google Cloud.

• Google Skills
• 8 hours
• Finished
• Paid Course