Google Cloud Generative AI & Machine Learning Engineer with 20 Practice Exams

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!