GCP AI Infrastructure

Master the foundational Google Cloud Platform services for building, training, and deploying AI and machine learning workloads. Covers Compute Engine, Cloud Storage, VPC networking, IAM, and production best practices.

Start Course →
6
Lessons
30+
Examples
~2hr
Total Time
☁
Cloud

Course Lessons

Follow the lessons in order or jump to any topic.

Beginner

1. Introduction

Overview of GCP services for AI workloads, project organization, and the AI infrastructure landscape.

10 min read →
 Beginner

2. Compute Engine

Provision GPU and TPU VMs for model training, configure machine types, and manage compute resources.

15 min read →
 Intermediate

3. Cloud Storage

Design data storage strategies using GCS buckets, lifecycle policies, and optimized data pipelines for ML.

12 min read →
 Intermediate

4. VPC

Configure Virtual Private Cloud networking, private Google access, firewall rules, and VPC Service Controls.

15 min read →
 Advanced

5. IAM

Implement Identity and Access Management with service accounts, custom roles, and organization policies.

12 min read →
 Advanced

6. Best Practices

Production patterns for security, cost optimization, monitoring, and scaling GCP AI infrastructure.

12 min read →