Target Audience

Cloud Engineers ready to deploy and architect applications on Google Cloud

Tech Professionals transitioning to cloud-based environments

Business Leaders exploring Google Cloud’s strategic advantages

COURSE AGENDA

Cloud Foundations

  • Understand why Google Cloud is a leader in the cloud space, offering unique benefits for businesses.
  • Learn how Google Cloud’s infrastructure is organized globally across points of presence (PoPs), data centers, regions, and zones to ensure high availability and reliability.
  • Understand the differences between Infrastructure as a Service (IaaS) and Platform as a Service (PaaS), and how each can be leveraged to meet specific business needs.

Resource Management & Access Control

  • Learn to organize Google Cloud projects for optimal resource management, security, and scalability.
  • Master Identity and Access Management (IAM) to implement robust security and access controls across your cloud environment.
  • Explore how to manage resources using the Console, CLI, APIs, and deploy third-party solutions through Google Cloud Marketplace.

Computing & Networking Essentials

  • Learn to design and deploy VPCs, subnets, and firewall rules for secure communication and high availability across cloud resources.
  • Understand how to configure Google Compute Engine for scalable, high-performance virtual machines and create resilient cloud architectures.
  • Apply your skills by deploying cloud infrastructure, utilizing VPC configurations, load balancing, and autoscaling to ensure optimal performance.

Storage Solutions

  • Understand and choose the right storage solutions (Cloud Storage, Persistent Disks) based on performance and cost needs.
  • Learn about Cloud Storage classes (Standard, Nearline, Coldline, Archive) and how to apply them for cost-effective data management.
  • Explore database options (Cloud SQL, Bigtable, Firestore) and learn to integrate them with Cloud Storage for seamless application data management.

Container Orchestration

  • Understand the basics of containers, how they work, and how they can be used to package and deploy applications.
  • Dive into Google Kubernetes Engine (GKE) and learn how it simplifies the deployment, management, and scaling of containerized applications.

Modern Application Development

  • Learn how to use Cloud Run to deploy serverless applications, automatically scaling in response to traffic.
  • Explore how to use Cloud Functions to build event-driven, serverless applications without managing servers.
  • Apply your knowledge to deploy a containerized application on Google Cloud, leveraging GKE and Cloud Run for scalability and efficiency.

Comprehensive Review

  • Review the key concepts from each module to solidify your understanding of Google Cloud fundamentals.
  • See how the concepts from different modules connect and apply to real-world cloud deployment scenarios.
  • Prepare to implement Google Cloud solutions by applying the knowledge gained throughout the course to practical situations.

Other Cloud Architecture programs

Robot Developer Certification

Robot Maintainer Certification

Robot Administrator Certification

Robot Operator Certification

AI Specialization | AI+ Healthcare

AI Development | AI Engineer

AI Development | AI Developer

AI Development | AI Prompt Engineer Level 2

AI Cloud | AI Architect

AI Cloud | AI Cloud

AI Security | AI Security Level 2

AI Security | AI Security Level 3

AI Security | AI Ethical Hacker

AI Security | AI Network

AI Security | AI Security Compliance

Bitcoin & Blockchain | Bitcoin Security

Bitcoin & Blockchain | Blockchain Executive

Bitcoin & Blockchain | Blockchain Developer

AI Security | AI Security Level 1

AI Business | AI Researcher

AI Business | AI Legal

AI Business | AI Finance

AI Business | AI Human Resources

AI Business | AI Product Manager

AI Business | AI Writer

AI Business | AI Customer Service

AI Business | AI Sales

AI Business | AI Marketing

AI Business | AI Project Manager

AI Business | AI Ethics

Bitcoin & Blockchain | Bitcoin+ Executive

Blockchain & Bitcoin | Bitcoin Developer

AI Design & Creative | AI Design

AI Design & Creative | UX Designer

AI Learning & Education | Learning & Development

AI Business | AI Supply Chain

AI Essentials | AI Prompt Engineer Level 1

AI Learning & Education | AI Educator

AI Data & Robotics | AI Quantum

AI Data & Robotics | AI Robotics

AI Business | Chief AI Officer

AI Data & Robotics | AI Data

AI Essentials | AI Everyone

AI Specialization | AI+ Government

AI Essentials | AI Executive

Data Engineering -Foundations for Architecting Data Solutions – 1

Cloud Engineering-Google Cloud Fundamentals: Core Infrastructure -3

Machine Learning-Machine Learning on Google Cloud -12

Data Engineering- Data Engineering on Google Cloud -8

Cloud Engineering- Architecting with Google Compute Engine-4

Cloud Engineering- FinOps Foundations-2

Cloud Engineering- Deploying and Managing Windows Workloads on Google Cloud – 1

Business Decision Maker- FinOps Foundations-2

Business Decision Maker- Cloud Digital Leader-1

Business Decision Maker- Business Transformation with Google Cloud – 3

Machine Learning- Google Cloud Fundamentals: Big Data & Machine Learning-11

Machine Learning- Vertex AI Agent Builder-10

Machine Learning- Application Development with LLMs on Google Cloud-9

Machine Learning- Introduction to Developer Efficiency on Google Cloud-8

Machine Learning- Introduction to Responsible AI in Practice -7

Machine Learning- Vertex AI Model Garden -6

Machine Learning- Interactive Chat for Applications Using Gen AI Studio -5

Machine Learning- Developing Data Models with LookML -4

Machine Learning- Text Generation for Applications Using Gen AI Studio -3

Machine Learning- Data Integration with Cloud Data Fusion -2

Machine Learning- Managing Machine Learning Projects with Google Cloud -1

Cloud Networking- Networking in Google Cloud – 3

Cloud Networking- Google Cloud Fundamentals: Core Infrastructure – 2

Cloud Networking- Getting Started with Terraform for Google Cloud – 1

Cloud Security- Networking in Google Cloud – 3

Cloud Security- Security in Google Cloud – 2

Cloud Security- Google Cloud Fundamentals: Core Infrastructure – 1

Cloud DevOps Engineer – Logging, Monitoring and Observability in Google Cloud – 2

Cloud DevOps Engineer – Google Cloud Fundamentals: Core Infrastructure – 1

Data Engineering-From Data to Insights with Google Cloud -9

Data Engineering -Google Cloud Fundamentals: Big Data & Machine Learning – 7

Data Engineering -Migrating Teradata Users to BigQuery – 6

Data Engineering -Enterprise Database Migration – 5

Data Engineering -Data Warehousing with BigQuery: Storage Design, Query Optimisation, and Administration – 4

Data Engineering -Analysing and Visualising Data in Looker -3

Data Engineering -Google Cloud Fundamentals: Core Infrastructure – 2

Data Engineering -Foundations for Architecting Data Solutions – 1

Cloud Development -Getting Started with Google Kubernetes Engine – 4

Cloud Development -Developing Applications with Google Cloud – 3

Cloud Development -Google Cloud Fundamentals: Core Infrastructure – 2

Cloud Development -Application Development with Cloud Run – 1

Cloud Architecture -Architecting Hybrid Cloud Infrastructure with Anthos – 8

Cloud Architecture – Preparing for the Professional Cloud Architect Examination-7

Cloud Architecture – Architecting with Google Cloud: Design & Process – 6

Cloud Architecture – Architecting with Google Kubernetes Engine – 5

AI Cloud | AI Architect

Cloud Architecture – Deploying and Managing Windows Workloads on Google Cloud – 1

Cloud Architecture – Managing Google Cloud’s Apigee API Platform for Hybrid Cloud – 2

CONTACT US TO START YOUR GOOGLE CLOUD JOURNEY