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Google Cloud Platform

OVERVIEW

Program Overview

Build expertise in designing scalable, cloud-native data and AI solutions on Google Cloud. This program provides hands-on experience with GCP’s analytics, machine learning, and serverless technologies. You’ll learn how to architect

TOOLS

Key Services

CONTENTS

Curriculum

Designing scalable analytics and data engineering solutions on GCP

Learn how to architect end-to-end data systems that handle large workloads efficiently using GCP’s analytics and storage services.

Implementing serverless processing with Dataflow, Cloud Functions, and Pub/Sub

Build event-driven and fully managed pipelines that scale automatically without managing servers.

Building real-time and batch data pipelines

Develop robust data workflows for streaming and scheduled processing using tools like Dataflow, Dataproc, and BigQuery.

Deploying and managing machine learning models using AI Platform

Train, optimize, and serve ML models at scale using Google’s managed machine learning stack.

Creating interactive dashboards and insights with Looker

Visualize data, track KPIs, and build interactive dashboards for decision-making with Looker’s modern BI capabilities.

Applying best practices for security, reliability, and cost optimization on GCP

Implement cloud governance, access control, monitoring, and cost-efficient architecture following Google Cloud standards.

Start your GCP journey today.

Join thousands of professionals advancing their careers in GCP