Syllabus of Google Certified Associate Cloud Engineer Online Training Course
Module 1: Google Cloud Platform Introduction
Goal : In this module, you will learn about Google's Global Infrastructure. You will also learn about Regions, Zones and Projects that make up the GCP environment.
Objective: Upon completing this module, you should be able to understand:
- What is Cloud computing
- Overview of different cloud computing services
- Understand GCP environment
- Different Compute, Storage, Big Data and AI resources which GCP offers
- Google Network Service Offerings
- Setup GCP account
Topics:
- Google Cloud Platform (GCP) Infrastructure
- Compute resources
- Networking Services
- Storage and Database offering
- Bigdata and AI services
- Basics of GCP Project
- Introduction to Primitive role
Module 2: Managing GCP Services
Goal: In this module, you will learn how to manage GCP using console and Command Line tool – Cloud Shell, Gcloud, Gsutil. Also, you will learn how to install and configure Cloud SDK.
Objective: Upon completing this module, you should be able to understand:
- How to manage GCP using GCP console
- How to use Cloud Shell to manage GCP environment
- How to use Gcloud tool to manage GCP environment
- How to use Gsutil tool to manage cloud storage
- Install/configure cloud SDK
Topics:
- Managing GCP environment with GCP console
- Control GCP environment using CLI
- GCP environment management using Cloud Shell
- GCP environment management using Gcloud
- GCP environment management using Gsutil
- Install and configure cloud SDK
Hands On:
- Add components to use the Gcloud tool to manage GCP resources
- Using Gsutil tool do file operations
Module 3: GCP Networking Services
Goal: In this module, you will learn about GCP networking concept and how to setup network topology, how to connect different GCP resources with each other and isolating them using network policies and firewall.
Objective: Upon completing this module, you should be able to understand:
- How to use VPC
- Create/Manage VPN
- How to use cloud router
- Create/Modify Firewall policies
- Work with Routes
- Configure and Deploy Endpoints
Topics:
- Cloud Virtual Network
- Virtual Private Network
- Virtual Private Cloud
- Proxies / Gateway and Endpoints
- Network/Subnetwork
- DNS Resolution
- Firewalls and Routes
- Cloud Router
- Interconnecting networks
- Security aspect
Hands On:
- Create virtual private network with multiple subnets and apply firewall rules
Module 4: GCP IAM and Security Services
Goal: In this module, you will learn Identity and Access management with several management tools that GCP offers.
Objective: Upon completing this module, you should be able to understand:
- Security aspect of GCP
- Understand Identity and Access Management
- IAM Role – Primitive, Predefined, Custom
- IAM Policy and Policy Hierarchy
- Best Practices for IAM role, policy and service account
- Create and manage permissions for Google Cloud Platform resources
Topics:
- Understand Identity and Access Management (IAM)
- Understanding Organizations, Roles, Members, Service accounts, Policy
- Policy Hierarchy
- Understanding different role and permission
- Creating custom role
- Basic IAM APIs
- Best Practices
- Key Management Systems
- Data security
- Resource Sharing and Isolation
- Auditing
- Penetration testing
- Security controls
Hands On:
- Define various roles and policy of GCP environment
Module 5: GCP Compute Services
Goal: In this module, you will learn how to create/manage Virtual machines and work with Compute engine.
Objective: Upon completing this module, you should be able to understand:
- Create Virtual Machine and VM instances
- Working with VM
Topics:
- Understand Compute Engine
- Understand and implement Compute options (vCPU and Memory) specific to workload
- Persistent disk – HDD, SSD
- Load Balancing
- Common Compute Engine actions
Hands On:
- Create Custom Machine Types optimized for specific needs
- Creating VM instance using CLI
- Working with Virtual Machine – Attaching persistent disk to VM
Module 6: GCP Storage & Database Services
Goal: In this module, you will learn different data storage services offered by GCP.
Objective: Upon completing this module, you should be able to understand:
- How to store data
- How to retrieve data
- Archiving cold data
- Managing rich content
- How to host your website
Topics:
- Understand Cloud Storage – Nearline, Coldline
- Cloud SQL
- Cloud Spanner, Cloud Datastore
- Cloud Bigtable
- Pros and cons of storage option and how to choose
- Understanding Billing aspect of storage options
- Tradeoff of storage options
- Integration with on premises/multi-cloud environment
Hands On:
- Working with Cloud Storage Buckets
- Working with VM And Storing Results on Cloud Storage
- How to use Gsutil tool to manage cloud storage
- Host your website
Module 7: Containers
Goal: In this module, you will learn how to Deploy, manage, and scale containerized applications on Kubernetes.
Objective: Upon completing this module, you should be able to understand:
- Why containers are used
- How to deploy application using Kubernetes
Topics:
- Understand Containers and their benefits
- Kubernetes Engine, Container Registry
- How to use Kubernetes Load Balancing
- How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine
Hands On:
- Creating A Kubernetes Cluster
Module 9: Cloud Dataflow for Data Processing
Goal: In this module, you will learn how to develop and execute a variety of data processing patterns using Dataflow processing and how to manage cluster using Dataproc service.
Objective: Upon completing this module, you should be able to understand:
- Build dataflow pipeline
- How to create a maven project with Dataflow SDK
- How to create and execute streaming pipeline using Dataflow template
- How to create pipeline on Beam
- Testing pipeline
- Create/Manage/Delete cluster using Dataproc service
- How to run a job on cluster
- Using APIs to automate jobs
Topics:
- Dataflow services
- Stream and Batch processing
- Apache Beam SDK
- Monitoring using Stackdriver
- Data transformation with Cloud Data flow
- Working with Dataproc
- Creating Cluster
- Managing cluster
- Automation of jobs
Module 10: GCP APIs & Development Services
Goal: In this module, you will learn how to use GCP for application development, deployment, debugging and monitoring.
Objective: Upon completing this module, you should be able to understand:
- Best practices for application development
- Choosing the appropriate data storage option for application data
- Debug, trace, and monitor applications
Topics:
- Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
- Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
- App Engine
- How to use Google Stackdriver : Overview, Integration, Monitoring, Logging, Error reporting, Tracing
Hands On:
- Implement & Configure Deployment Manager, Cloud Launcher
- Deploying Applications Using App Engine
Module 11: GCP DevOps Services
Goal: In this module, you will learn how to use GCP DevOps service for CI/CD using Jenkins and how to do debugging using Stackdriver in DevOps environment.
Objective: Upon completing this module, you should be able to understand:
- How to create/configure Jenkins service on GCP
- Jenkins deployment
Topics:
- Setup CI/CD
- Setting up Jenkins on Container engine
- Deploy application on Jenkins
- Create deployment pipeline in Jenkins
- Create and Deploy on cluster
- Deploy development and production environment
- Analysis & Troubleshooting
Hands on:
- Set up a continuous delivery pipeline using Jenkins and deploy an application to Kubernetes.
Module 12: Designing & Implementing GCP Migration
Goal: In this module, you will learn how to check different metrics and take decision to migrate to GCP.
Objective: Upon completing this module, you should be able to understand:
- Different critical KPIs, Metrics, Analytics
- How to take decision to migrate to GCP
- How to choose from different options as per specific need
- How to manage scalability
- Hybrid model
- How to move completely from on-prem to GCP
Topics:
- Collect and Analyze metrics
- Evaluate and choose an automation framework for provisioning resources in cloud
- Design strategy
- Create Migration Plan
Module 13: GCP Cloud Architect Exam Case Studies
Goal: In this module, you will learn the official case studies provided by Google for GCP Architect exam, and practice on these case studies with sample exam problem statements
Objective: Upon completing this module, you should be able to understand:
- Google provided case studies
- How to solve problems as described in these case studies
Topics:
- Understand JencoMart case study
- Understand Mountkirk Games case study
- Understand Dress4Win case study
- Understand TerramEarth case study
Hands on:
- Solve Sample Problem Statements Based On these Case Studies
