Google Cloud

Professional Cloud Architect Part 2: AI, Security, & Ops Specialization

Google Cloud

Professional Cloud Architect Part 2: AI, Security, & Ops Specialization

Master AI, Security, & Monitoring on Google Cloud.

Architect secure, automated, and observable cloud solutions with AI and GKE.

Google Cloud Training

Instructor: Google Cloud Training

Access provided by PSGR Krishnammal College for Women

Get in-depth knowledge of a subject

from 2,931 reviews of courses in this program

Advanced level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject

from 2,931 reviews of courses in this program

Advanced level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Automate infrastructure provisioning and manage reusable configurations using Terraform modules and state.

  • Implement advanced security controls, including Cloud IAM, VPC Service Controls, and threat detection with Cloud IDS.

  • Architect and scale containerized applications using GKE Fleets, Cloud Service Mesh, and serverless Cloud Run environments.

  • Integrate AI/ML pipelines via Vertex AI and implement full-stack observability with Logging, Monitoring, and Trace.

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Taught in English
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April 2026

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Specialization - 9 course series

Getting Started with Terraform for Google Cloud

Getting Started with Terraform for Google Cloud

Course 1, 6 hours

What you'll learn

  • Define the business need for infrastructure as Code and the benefits of using it in your environment.

  • Explain the features and functionalities of Terraform.

  • Use Terraform resources, variables, and output values to create Google Cloud infrastructure resources.

  • Use Terraform modules to build reusable configurations.

Skills you'll gain

Category: Terraform
Category: Infrastructure as Code (IaC)
Category: Google Cloud Platform
Category: Code Reusability
Category: Configuration Management
Category: Cloud Infrastructure
Category: Cloud Management
Category: Cloud Storage
Category: Command-Line Interface
Category: Dependency Analysis
Managing Security in Google Cloud

Managing Security in Google Cloud

Course 2, 8 hours

What you'll learn

  • Identify the foundations of Google Cloud security.

  • Manage administration identities with Google Cloud.

  • Implement user administration with Identity and Access Management (IAM).

  • Configure Virtual Private Clouds (VPCs) for isolation, security, and logging.

Skills you'll gain

Category: Cloud Security
Category: Identity and Access Management
Category: Firewall
Category: Network Security
Category: Load Balancing
Category: Google Cloud Platform
Category: User Provisioning
Category: Cloud Management
Category: Role-Based Access Control (RBAC)
Category: Single Sign-On (SSO)
Category: Security Controls
Category: Virtual Networking
Category: Data Security
Category: Authorization (Computing)
Category: Data Access
Category: Authentications
Manage Scalable Workloads in GKE

Manage Scalable Workloads in GKE

Course 3, 22 hours

What you'll learn

  • Describe the challenges of designing a multi-cluster infrastructure.

  • Describe the components and architecture of GKE Fleets

  • Identify and describe the core components of a GKE fleet.

  • Create, connect, and manage GKE clusters from multiple deployment environments.

Skills you'll gain

Category: Kubernetes
Category: Cloud Management
Category: Google Cloud Platform
Category: Authentications
Category: Authorization (Computing)
Category: Configuration Management
Category: Cloud Security
Category: CI/CD
Category: Multi-Cloud
Category: Istio
Category: Identity and Access Management
Category: Vulnerability Scanning
Category: Application Deployment
Category: Cloud-Native Computing
Category: Scalability
Category: Cloud Deployment
Category: Model Deployment
Category: AI Workflows
Category: Security Controls
Developing Applications with Cloud Run on Google Cloud: Fundamentals

Developing Applications with Cloud Run on Google Cloud: Fundamentals

Course 4, 5 hours

What you'll learn

  • Understand the fundamentals of Cloud Run that include the resource model, container lifecycle, and autoscaling.

  • Develop and test applications locally before deploying to Cloud Run.

  • Use service identity and IAM with Cloud Run.

  • Integrate Cloud Run applications with Google Cloud services.

Skills you'll gain

Category: Identity and Access Management
Category: Cloud Deployment
Category: Application Development
Category: Serverless Computing
Category: Cloud-Based Integration
Category: Cloud Services
Category: Containerization
Category: Cloud-Native Computing
Category: Scalability
Category: Cloud Development
Category: Cloud Security
Category: Integration Testing
Category: Google Cloud Platform
Category: Application Deployment
Introduction to Data Engineering on Google Cloud

Introduction to Data Engineering on Google Cloud

Course 5, 9 hours

What you'll learn

  • Understand the role of a data engineer.

  • Identify data engineering tasks and core components used on Google Cloud.

  • Understand how to create and deploy data pipelines of varying patterns on Google Cloud.

  • Identify and utilize various automation techniques on Google Cloud.

Skills you'll gain

Category: Google Cloud Platform
Category: Extract, Transform, Load
Category: Data Pipelines
Category: Data Import/Export
Category: Data Migration
Category: Data Storage
Category: Data Warehousing
Category: Data Sharing
Category: Apache Spark
Category: Automation
Category: Metadata Management
Category: Cloud Storage
Category: Apache Airflow
Category: Data Processing
Category: Data Management
Category: Data Infrastructure
Category: IT Automation
Category: Big Data
Introduction to AI and Machine Learning on Google Cloud

Introduction to AI and Machine Learning on Google Cloud

Course 6, 9 hours

What you'll learn

  • Recognize the data-to-AI technologies and tools offered by Google Cloud.

  • Use generative AI capabilities in applications.

  • Choose between different options to develop an AI project on Google Cloud.

  • Build ML models end-to-end by using Vertex AI.

Skills you'll gain

Category: Google Cloud Platform
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Prompt Engineering
Category: Generative AI
Category: Applied Machine Learning
Category: Natural Language Processing
Category: AI Orchestration
Category: Agentic systems
Category: Model Deployment
Category: Prompt Engineering Tools
Category: Model Training
Category: Artificial Intelligence
Category: Large Language Modeling
Category: Cloud Infrastructure
Category: Machine Learning Methods
Category: Generative Model Architectures
Category: Agentic Workflows
Category: MLOps (Machine Learning Operations)
Category: AI Workflows
Category: Generative AI Agents
Logging and Monitoring in Google Cloud

Logging and Monitoring in Google Cloud

Course 7, 14 hours

What you'll learn

  • Explain the purpose and capabilities of Google Cloud Observability.

  • Implement monitoring for multiple cloud projects.

  • Create effective monitoring dashboards and alerts. Create alerting policies, uptime checks and alerts.

  • Explain how to collect logs using Cloud Logging and export for further analysis.

Skills you'll gain

Category: Data Access
Category: Dashboard Creation
Category: Data Import/Export
Category: Problem Management
Observability in Google Cloud

Observability in Google Cloud

Course 8, 11 hours

What you'll learn

  • Install and manage Ops Agent to collect logs for Compute Engine.

  • Explain Cloud Operations for GKE.

  • Analyze VPC Flow Logs and firewall rules logs.

  • Analyze resource utilization cost for monitoring related components within Google Cloud.

Skills you'll gain

Category: Google Cloud Platform
Category: Application Performance Management
Category: Network Monitoring
Category: System Monitoring
Category: Network Analysis
Category: Performance Tuning
Category: Cloud Services
Category: Load Balancing
Category: Cloud Infrastructure
Category: Virtual Networking
Category: Prometheus (Software)
Category: Network Performance Management
Category: Cloud Applications
Preparing for your Professional Cloud Architect Journey

Preparing for your Professional Cloud Architect Journey

Course 9, 6 hours

What you'll learn

  • Explain how to use NotebookLM as a study tool.

  • Define the process of adding sources to NotebookLM.

  • Create prompts that help you study for the certification exam.

  • Use various study modes to maximize learning.

Skills you'll gain

Category: Cloud Computing Architecture
Category: Cloud Computing
Category: Cloud Security
Category: Cloud Solutions
Category: Cloud Infrastructure
Category: Process Optimization
Category: System Implementation
Category: Google Cloud Platform
Category: Cloud Deployment
Category: Cloud Platforms
Category: Cloud Management
Category: Business Solutions
Category: Solution Architecture
Category: Solution Delivery
Category: Process Analysis
Category: Solution Design
Category: Process Improvement and Optimization

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Instructor

Google Cloud Training
Google Cloud
2,237 Courses4,406,977 learners

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Google Cloud

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