Google Cloud Professional Track
A complete, role-focused Google Cloud learning track aligned with your requested certifications: Foundational, Associate, Professional, and AI/ML. This program prepares learners for real-world cloud roles and exam readiness through labs and architecture scenarios.
Certification Roadmap
1Module 1: Google Cloud Digital Leader
Cloud concepts, GCP value proposition, and digital transformation foundations.
Cloud Concepts & GCP Value
Digital Transformation Foundations
Cloud computing fundamentals · GCP services overview · Digital transformation use cases · Business value of cloud adoption
GCP Core Services
Compute, Storage & Networking Basics
Core GCP service categories · Infrastructure vs platform vs software · Key Google Cloud differentiators · Cost and scaling fundamentals
Exam Readiness
Digital Leader Certification Prep
Digital Leader exam domains · Practice questions · Scenario-based review · Certification readiness assessment
2Module 2: Google Associate Cloud Engineer
Deploy, monitor, and operate cloud resources using core Google Cloud services.
Core GCP Operations
Compute, Storage & IAM
Compute Engine, GKE, Cloud Run · Cloud Storage, Persistent Disks · IAM roles and policies · Billing and resource management
Networking & Monitoring
VPC, Load Balancing & Cloud Monitoring
VPC networks and subnets · Firewall rules and routes · Cloud Monitoring and Logging · Alerting and dashboards
Deployment & Operations
Deployment Manager & CLI
gcloud CLI and Cloud Shell · Deployment Manager basics · Managed instance groups · Associate exam preparation
3Module 3: Professional Cloud Architect
Design secure, scalable, resilient cloud architectures for enterprise workloads.
Architecture Design Patterns
Scalability, Reliability & HA
Well-architected framework on GCP · High availability and fault tolerance · Multi-region design · Architecture trade-off analysis
Security & Compliance
IAM, Encryption & Compliance Frameworks
Identity and access best practices · Encryption at rest and in transit · Security Command Center · Compliance and audit requirements
Enterprise Architecture
Migration, Cost & Capstone Design
Migration strategies and patterns · Cost optimization for enterprise · Case study analysis · Professional Architect exam prep
4Module 4: Professional Data Engineer
Build data pipelines, warehouses, analytics, and machine learning-ready data platforms.
Data Ingestion & Pipelines
Pub/Sub, Dataflow & Dataproc
Cloud Pub/Sub messaging · Dataflow streaming and batch · Dataproc for Hadoop/Spark · Data pipeline design patterns
Data Warehousing & Analytics
BigQuery & Data Studio
BigQuery architecture and queries · Partitioning and clustering · Looker Studio dashboards · Analytics optimization
ML-Ready Data Platforms
Feature Engineering & Data Governance
Feature Store and Vertex AI datasets · Data governance with Dataplex · Cloud Composer orchestration · Data Engineer exam prep
5Module 5: Professional Cloud Developer
Build and deploy cloud-native applications with CI/CD and managed services.
Cloud-Native Development
Cloud Run, GKE & App Engine
Containerized apps with Cloud Run · Kubernetes on GKE · App Engine standard and flexible · Managed services for developers
CI/CD & DevOps
Cloud Build, Artifact Registry & Pipelines
Cloud Build pipelines · Artifact Registry · Cloud Deploy · Testing and rollback strategies
APIs & Integration
Cloud Endpoints, Pub/Sub & Secrets
Cloud Endpoints and API Gateway · Pub/Sub event-driven patterns · Secret Manager · Cloud Developer exam prep
6Module 6: Professional Cloud Network Engineer
VPC architecture, hybrid connectivity, routing, and network performance optimization.
VPC Architecture
Shared VPC, Peering & Firewall Rules
VPC design and shared VPC · VPC peering and Private Service Connect · Firewall rules and policies · Network segmentation patterns
Hybrid Connectivity
Cloud VPN, Interconnect & DNS
Cloud VPN and HA VPN · Dedicated and Partner Interconnect · Cloud DNS and private zones · Hybrid network architecture
Load Balancing & Performance
GLB, CDN & Network Monitoring
Global and regional load balancers · Cloud CDN configuration · Network Intelligence Center · Network Engineer exam prep
7Module 7: Professional Cloud Security Engineer
Identity, access, key management, threat protection, and security operations on GCP.
Identity & Access Security
IAM, Org Policies & BeyondCorp
IAM best practices and org policies · BeyondCorp and context-aware access · Workforce and workload identity · Privileged access management
Data & Key Management
Cloud KMS, CMEK & DLP
Cloud KMS and CMEK · Cloud DLP for data classification · VPC Service Controls · Secrets and certificate management
Threat Protection & Compliance
Security Command Center & Audit Logging
Security Command Center Premium · Chronicle SIEM integration · Audit logs and compliance · Security Engineer exam prep
8Module 8: Professional Cloud DevOps Engineer
Reliability engineering, observability, deployment automation, and SRE practices.
SRE & Reliability
SLOs, Error Budgets & Incident Response
SRE principles and practices · SLIs, SLOs, and error budgets · Incident management workflows · Postmortem culture
Observability & Monitoring
Cloud Monitoring, Logging & Tracing
Cloud Monitoring metrics and alerts · Cloud Logging and log-based metrics · Cloud Trace and Profiler · Operational dashboards
Deployment Automation
Cloud Deploy, GKE & Progressive Delivery
Cloud Deploy pipelines · Blue-green and canary releases · GKE autopilot operations · DevOps Engineer exam prep
9Module 9: Professional Cloud Database Engineer
Design and manage relational, NoSQL, and distributed database solutions on GCP.
Relational Databases
Cloud SQL & AlloyDB
Cloud SQL for MySQL/PostgreSQL · AlloyDB for analytics workloads · High availability and replication · Backup and recovery
NoSQL & Distributed Databases
Firestore, Bigtable & Spanner
Firestore for document storage · Bigtable for time-series data · Cloud Spanner for global ACID transactions · Database selection criteria
Migration & Optimization
Database Migration Service & Performance
Database Migration Service · Schema and query optimization · Monitoring database health · Database Engineer exam prep
10Module 10: Professional Machine Learning Engineer
ML pipeline design, model training, deployment, monitoring, and MLOps practices.
ML Pipeline Design
Vertex AI, Feature Store & AutoML
Vertex AI pipelines · AutoML and custom training · Feature Store design · Data preparation and labeling
Model Training & Deployment
Training Jobs, Endpoints & Serving
Distributed training on Vertex AI · Model Registry and endpoints · Online and batch prediction · A/B testing and model versions
MLOps & Monitoring
Model Monitoring, CI/CD for ML & Responsible AI
Model monitoring and drift detection · ML CI/CD pipelines · Responsible AI principles · ML Engineer exam prep
11Module 11: Professional Generative AI Engineer
Prompt engineering, GenAI app patterns, RAG workflows, and responsible AI on Google Cloud.
Prompt Engineering & Foundation Models
Gemini, Vertex AI Studio & Prompt Design
Gemini model family overview · Vertex AI Studio for prompt design · Few-shot and chain-of-thought prompting · Model tuning and grounding
GenAI Application Patterns
RAG, Agents & Embeddings
RAG workflow architecture · Vector Search and embeddings · Agent Builder and multi-agent patterns · GenAI API integration
Responsible AI & Exam Prep
Safety, Evaluation & GenAI Certification
Responsible AI and safety filters · Model evaluation and benchmarking · Enterprise GenAI governance · Generative AI Engineer exam prep
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Program Details
Duration
11 Modules
Mode
Online (Online)
Experience Level
Beginner to Advanced