Google Professional Machine Learning Engineer Certification v 1.1

Do you want to make more money? This course will teach you how to design, build, and deploy machine learning models using Google Cloud, with hands-on experience in AutoML, BigQuery, and Dataflow.

Introduction to Machine Learning: Understand the basics of machine learning, types of models, and the learning process.

Cloud Computing for ML: Learn why the cloud is essential for machine learning and how to use Google Cloud for ML projects.

Image Classification with AutoML and Vertex AI: Build image datasets, train and deploy machine learning models using AutoML and Vertex AI.

Data Pipeline with BigQuery: Create and manage streaming data pipelines with BigQuery and visualize the data using Google Data Studio.

Dataflow and Pub/Sub: Learn how to build data pipelines with the Dataflow API and Pub/Sub for real-time data processing.

Machine Learning Model Deployment: Deploy machine learning models to the cloud and make predictions with Google Cloud Machine Learning tools.

Real-World Labs: Gain hands-on experience building and deploying models, managing datasets, and processing data on Google Cloud.

Take 10 practice exams with infinite attempts to perfect your skills. Enroll now to become a certified Google Professional Machine Learning Engineer and advance your career in AI and machine learning!