ML Engineer, �Data Scientist
ML and Artificial Intelligence
Overview
A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems.
What will you learn
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Google Cloud Big Data and ML Fundamentals | ⧗ 1 DAY
Machine learning on Google Cloud | ⧗ 5 DAYS
How Google Does Machine Learning
Launching into Machine Learning
Introduction to TensorFlow
Feature Engineering
Machine Learning in the Enterprise
Advanced Solutions Lab (ASL) | ⧗ 5 WEEKS (currently not being offered within the KaggleX program)
Advanced Machine Learning with TensorFlow on Google Cloud | ⧗ 5 WEEKS
End-to-End Machine Learning with TensorFlow on GCP
Production Machine Learning Systems
Image Understanding with TensorFlow on GCP
Sequence Models for Time Series and NL Processing on Google
Recommendation Systems with TensorFlow on Google Cloud
ML Ops Fundamentals | ⧗ 3 WEEKS
ML Pipelines on Google Cloud | ⧗ 4 DAYS
Perform Foundational Data, ML, AI Tasks in Google Cloud
Build and Deploy ML Solutions on Vertex AI
Professional Machine Learning Engineer Exam Guide and Sample Questions
Professional Machine Learning Engineer
Resource
On-demand
Virtual and in-person Classroom
Self-paced Labs
Skill badge
PS
SB
DS
Data Sheet
Coursera
Pluralsight
Skills Boost