
Compare on premises versus cloud technology, showing local hardware deployment versus on-demand, serverless resources managed by Google, with renting and pay-for-what-you-use advantages.
Explore why Google Cloud offers industry dedicated solutions, robust security, per second billing, budget control, and scalable serverless tools for analytics, AI, ML, IoT, and APIs.
discover how regions and zones reduce latency and prevent outages by deploying across paris, mumbai, and new york, enabling redundancy and global availability.
Explore how Google Cloud networks use data centers, edge points of presence, and edge nodes like Google Global Cache to deliver low-latency content through peering and caching.
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Explore identity and access management (IAM) in Google Cloud, determine who can access which resources, and apply roles and bindings within the organization hierarchy.
Map the organization resource hierarchy on Google Cloud from domain to folders, projects, and resources, and explore policy inheritance, the effective policy method, and how viewer and creator roles combine.
Define roles as a set of permissions assigned to a person or service account to access GCP resources, with levels like view or edit, covering basic, predefined, and custom roles.
Understand IAM basic roles, which include thousands of permissions and demand careful assignment. Prefer specific predefined roles to enforce least privilege, with owner, editor, and viewer as examples.
Identify predefined roles in Google Cloud IAM and how Google updates permissions; compare permissions to predefined roles, grant roles to principals, and consider custom roles when no exact match exists.
Create and use custom roles in IAM to grant only specific permissions, overcoming basic and predefined rule drawbacks by defining a title, description, launch date, and required permissions.
Learn how to create a free Google account to practice GCP, claim a $300 credit for 90 days, and navigate the Google Cloud Console to manage projects and resources.
Learn to create and link projects to billing accounts, create additional billing accounts, and set up budgets and alerts with exports, and monitor forecasted costs in the billing dashboard.
Create billing budgets and email alerts by defining scope, amount, and action; choose all projects or a specific project, set thresholds, and optionally export to BigQuery for analysis.
Explore virtual networks in Google Cloud, learning how cloud computing manages virtual resources, configure compute engine VMs, and understand VPC networks, subnets, IP addressing, and routing.
Learn how Google Cloud Compute Engine defines VMs with configurable CPU, memory, storage, and boot images, and how to scale through predefined or custom VMs and VPC-based scale-out.
Create a VM in Google Cloud and install nginx light to run a lightweight web server. Configure firewall rules and use the VM's public IP to access the web app.
Learn how Google Cloud's virtual private cloud connects global data centers, assigns private and public IPs to VMs, and keeps projects, networks, regions, and zones within a single VPC.
Understand Google Cloud VPC networks and subnets, auto and custom modes, IP address ranges, and how internal and external IP addresses enable cross-region communication within a network.
Explore ip addresses, including ipv4 and ipv6, and distinguish public and private ranges, then learn subnetting and cidr notation to identify network and host portions.
Create a default and a custom VPC, add regional subnets with IP ranges, and configure networks. Test VM connectivity across regions and networks using internal and external IPs.
Discover how GCP firewall rules inspect traffic at the network edge, enforce stateful bidirectional connections, and manage default and ingress/egress rules with priorities from 0 to 65535.
Master hands-on firewall rules and policies in Google Cloud, applying rules to a VPC, understanding ingress and egress, and using priority, targets, and logging for secure traffic.
Explore Compute Engine as a customizable IaaS to create and run VMs with predefined or custom machine types, including GPUs or TPUs and tenancy considerations.
Explore Google Cloud machine families, comparing predefined general purpose, compute optimized, memory optimized, and accelerator optimized types, plus custom machine options for tailored workloads.
Explore public and custom image options for Google Cloud virtual instances. Learn about premium image pricing, forecasted costs, and importing custom images from on premises or other clouds.
Explore disk options in compute engine, including persistent disks and local SSDs, their bootable, durable roles, and how they attach to VMs and affect cost.
Explore the differences between sole tenant and multitenant nodes, including dedicated hardware, isolated security, and pricing implications for high-security projects.
Create a VM instance on Google Cloud Compute Engine and install the Apache web server, enabling HTTP traffic. Learn to use startup scripts and instance templates to automate deployment.
Explore how startup scripts automate VM creation by bootstrapping the OS, updating patches, and deploying Apache, resulting in a ready web server at startup.
Learn how instance templates simplify VM creation by defining machine family, image, startup script, and firewall rules in one template, then create multiple VMs quickly with the same configuration.
Understand managed instance groups in Google Cloud, where identical VMs are created from a template and managed as a unit with auto scaling, auto healing, and health checks for updates.
Create a managed instance group from an instance template, configure health checks, auto scaling, and auto healing to support load balancing across three VMs in a single zone.
Discover how to configure a cloud load balancer for internet-facing traffic, choosing HTTP/HTTPS or TCP/UDP, with frontend, backend, and health checks guiding traffic across three VMs.
I believe my step-by-step training with the detailed explanation, along with the Hands-on practical demonstration of each concepts, will help you to understand all the topics clearly and helps you in gaining extensive knowledge about the Good Cloud Platform .
GCP - Google Cloud Platform is one of the fastest growing cloud platforms across the globe. Becoming the Google Cloud (ACE) Associate Cloud Engineer is the best choice to begin and excel your carrier in cloud platform.
Google Cloud Certification ACE is the best certification to prove and validate your expertise in the google cloud platform and helps you to start your journey in the cloud computing.
Google Cloud Associate Cloud Engineer certification focus on the skills of deploying, managing and monitoring projects in the Google cloud platform.
Below are the few skills which Google Associate Cloud Engineer certification exam focus on:
Setup a cloud solution environment
Plan, design and configure a cloud environment
Deploying and implementaion of a cloud environemnt
Ensure successful operation of a cloud environment
Configuring the access & Security of the cloud environment.
As per one of the recent survey results, 87% of Google Cloud certified individuals are more confident about their cloud skills. And More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work
We have designed this course in such a away that helps you to gain extensive knowledge about all the services and concepts that we have discussed throughout the course.
This course also comes with:
Lifetime access to all course material & updates
Udemy Certificate of Completion
So, What are you waiting for, Enroll NOW and I will see you inside course.