Google ML Engineer Preparation Roadmap — A Step-by-Step Guide

Master the Skills, Tools, and Strategies You Need to Become a Google ML Engineer

For Non-Members

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Are you among those who have a dream of becoming a Google machine learning engineer but don't know the right path to follow?

ML Engineer is one of the fast-evolving fields, with the right skills and tools you can shine among the crowd and secure your job in top tech companies like Google.

This step-by-step roadmap will guide you in mastering core skills, tools, and strategies for excelling in Google Cloud Platform (GCP) and preparing for ML Engineer interviews.

If you’re a beginner aiming to become a Machine Learning Engineer, this roadmap offers the perfect starting point.

50 Handpicked GitHub Repositories to Master Data Science Skills (Pro-Recommended)

Phase 1: Fundamentals of Machine Learning (ML)

1. Mathematics & Statistics

• Linear Algebra (e.g., vectors, matrices, eigenvalues)