- Overview
- Course Details
- Syllabus
- FAQ
Acquire Key Cloud Skills: Master Google Cloud, Earn Certification, Launch Your IT Cloud Career!
BEST INSTITUTE 4.9 Ratings
Elysium Academy has established itself as a leader in Google Cloud education. Our meticulously designed course offers a comprehensive curriculum that prepares participants to navigate the complex landscape of modern cloud computing. Combining theoretical knowledge with practical skills, this course ensures students are well-equipped to manage and deploy cloud solutions effectively.
2.2
Version
45 Hours
Duration
15 Hours
Theory
30 Hours
Practical
- Real-world Google Cloud Projects.
- Personalized coordinator.
- Trainer feedback.
- Trainer availability post sessions.
- Get Your Team Certified.
- Certificate from governing bodies.
- Globally Recognized Certification.
- Hands on assignment.
- Master Python fundamentals, including variables, data types, loops, and functions.
- Dive into advanced concepts such as object-oriented programming (OOP) and error handling.
- Harness powerful libraries like NumPy and Pandas for data manipulation and analysis.
- Visualize data effectively using Matplotlib and Seaborn.
- Implement machine learning algorithms with Scikit-learn.
- Explore deep learning techniques with TensorFlow.
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The Google Cloud Associate course offers participants the opportunity to master essential cloud computing skills using Google Cloud Platform (GCP). Delve into the dynamic field of cloud technology and learn to leverage GCP tools for a variety of applications with the guidance of expert instructors. Graduates will be well-prepared to address practical challenges in cloud computing.
The Google Cloud Associate course is designed to help you become proficient in utilizing Google Cloud Platform (GCP). Throughout this training, you will gain expertise in fundamental cloud concepts, including compute, storage, and networking on GCP. You will also learn advanced topics such as cloud IAM, data management, and application development using GCP services.
- Google Cloud provides the infrastructure for scalable and efficient data handling.
- GCP is essential for the comprehensive management of data collected by organizations.
- Data cleansing on GCP ensures data integrity and eliminates duplicates.
- Cloud professionals leverage GCP to derive meaningful insights from data.
- GCP serves as the foundation upon which advanced technologies like Artificial Intelligence are built.
Our Training Program Benefits
- Live, interactive training by experts.
- Curriculum that focuses on the learner.
- Challenge-based, hands-on project.
- Opportunities for team building.
- Cost- saving training.
- Convenient for your employees.
- Completely tailor-made curriculum.
Chapter-1 Setting Up Cloud Projects And Accounts
- Creating a resource hierarchy.
- Applying organizational policies to the resource hierarchy.
- Granting members IAM roles within a project.
- Managing users and groups in Cloud Identity (manually and automated).
- Enabling APIs within projects.
- Provisioning and setting up products in Google Cloud's operations suite.
Chapter-2 Managing Billing Configuration
- Creating one or more billing accounts.
- Linking projects to a billing account.
- Establishing billing budgets and alerts.
- Setting up billing exports.
- Installing and configuring the command line interface (CLI) specifically the cloud SDK log setting the default project.
Chapter-3 Planning And Configuring Compute Mins Resources
- Promising and estimating Google Cloud products using the price calculator.
- Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions).
- Using pre-emptible VMs and custom machine types as appropriate.
Chapter-4 Planning And Configuring Data Storage Options
- Product choice (e.g., Cloud SQL, BigQuery, Firestore, Cloud Spanner, Cloud Bigtable)
- Choosing storage options (e.g., Zonal persistent disk, Regional balanced persistent disk, Standard, Nearline, Coldline, Archive)
- Types of indexes
- Creating index
- Retrieving data using index
- Dropping sequence
Chapter-5 Planning And Configuring Network Resources
- Differentiating load balancing options
- Identifying resource locations in a network for availability
- Configuring Cloud DNS
Chapter-6 Deploying And Implementing Compute Engine Resources
- Launching a compute instance using the Google Cloud console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys).
- Creating an autoscaled managed instance group using an instance template.
- Generating/uploading a custom SSH key for instances.
- Installing and configuring the Cloud Monitoring and Logging Agent.
- Assessing compute quotas and requesting increases.
Chapter-7 Deploying And Implementing Google Kubernetes Engine Resourses
- Installing and configuring the command line interface (CLI) for Kubernetes (kubectl).
- Deploying a Google Kubernetes Engine cluster with different configurations including AutoPilot, regional clusters, private clusters, etc.
- Deploying a containerized application to Google Kubernetes Engine
- Configuring Google Kubernetes Engine monitoring
Chapter-8 Deploying And Implementing Cloud Run And Cloud Functions Resources
- Deploying an application and updating scaling configuration, versions, and traffic splitting.
- Deploying an application that receives Google Cloud events (e.g., Pub/Sub events, Cloud Storage object change notification events).
Chapter-9 Deploying And Implementing Data Solutions
- Initializing data systems with products (e.g., Cloud SQL, Firestore, BigQuery, Cloud Spanner, Pub/Sub, Cloud Bigtable, Dataproc, Dataflow, Cloud Storage).
- Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Pub/Sub).
Chapter-10 Deploying And Implementing Networking Resources
- Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC).
- Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags).
- Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, network tags, service accounts).
- Creating a VPN between a Google VPC and an external network using Cloud VPN.
- Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer).
Chapter-11 Deploying A Solution Using Cloud Marketplace
- Browsing the Cloud Marketplace catalog and viewing solution details.
- Deploying a Cloud Marketplace solution.
Chapter-12 Implementing Resources Via Infrastructure As Code
- Building infrastructure via Cloud Foundation Toolkit templates and implementing best practices.
- Installing and configuring Config Connector in Google Kubernetes Engine to create, update, delete, and secure resources.
Chapter-13 Managing Compute Engine Resources
- Managing a single VM instance (e.g., start, stop, edit the configuration, or delete an instance).
- Remotely connecting to the instance.
- Attaching a GPU to a new instance and installing necessary dependencies.
- Viewing current running VM inventory (instance IDs, details).
- Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot).
- Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image).
- Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group).
- Working with management interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK).
Chapter-14 Managing Google Kubernetes Engine Resources
- Viewing current running cluster inventory (nodes, pods, services).
- Browsing Docker images and viewing their details in the Artifact Registry.
- Working with node pools (e.g., add, edit).
- Working with pods (e.g., add, edit, or remove pods).
- Working with services (e.g., add, edit, or remove a service).
- Working with stateful applications (e.g. persistent volumes, stateful sets).
- Managing Horizontal and Vertical autoscaling configurations.
- Working with management interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK, kubectl).
Chapter-15 Managing Cloud Run Resources
- Adjusting application traffic- splitting parameters.
- Setting scaling parameters for autoscaling instances.
- Determining whether to run Cloud Run (fully managed) or Cloud Run for Anthos.
Chapter-16 Managing Storage And Database Solutions
- Managing and securing objects in and between Cloud Storage buckets.
- Setting object lifecycle management policies for Cloud Storage buckets.
- Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Datastore, CloudBigtable).
- Estimating costs of data storage resources.
- Backing up and restoring database instances (e.g., Cloud SQL, Datastore).
- Reviewing job status in Dataproc, Dataflow, or BigQuery.
Chapter-17 Managing Network Resources
- Adding a subnet to an existing VPC.
- Expanding a subnet to have more IP addresses.
- Reserving static external or internal IP addresses.
- Working with CloudDNS, CloudNAT, Load Balancers, and firewall rules.
Chapter-18 Monitoring And Logging
- Creating Cloud Monitoring alerts based on resource metrics.
- Creating and ingesting Cloud Monitoring custom metrics (e.g., from applications or logs).
- Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)
- Configuring log routers.
- Viewing and filtering logs in Cloud Logging.
- Viewing specific log message details in Cloud Logging. Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time).
- Viewing Google Cloud status.
Chapter-19 Managing Identity And Access Management (Iam)
- Viewing IAM policies.
- Creating IAM policies.
- Managing the various role types and defining custom IAM roles (e.g., primitive, predefined, and custom).
Chapter-20 Managing Service Accounts
- Creating service accounts.
- Using service accounts in IAM policies with minimum permissions.
- Assigning service accounts to resources.
- Viewing audit logs.
- Managing IAM of a service account.
- Managing service account impersonation.
- Creating and managing short-lived tokens.
What is the Google Cloud Associate Course offered by Elysium Academy?
The Google Cloud Associate Course at Elysium Academy provides foundational training in Google Cloud Platform (GCP), covering core services, cloud architecture, and security. This course is perfect for those looking to gain expertise in cloud computing with GCP.
What makes Elysium Academy the best Google Cloud Associate training center near me?
Elysium Academy stands out for its Google Cloud Associate training due to its comprehensive curriculum, hands-on projects, and expert instructors who ensure you gain practical experience in managing and deploying applications on Google Cloud.
What is the Google Cloud Associate Course?
The Google Cloud Associate Course is a comprehensive training program designed to teach participants the fundamentals of Google Cloud Platform (GCP) and prepare them for the Google Cloud Associate certification.
Who should enroll in the Google Cloud Associate Course?
This course is suitable for IT professionals, developers, system administrators, and anyone interested in learning about cloud computing and Google Cloud Platform.
What will I learn in this course?
Participants will learn about various GCP services including compute, storage, networking, IAM, data services, machine learning, and more. Hands-on labs and projects are included to reinforce learning.
What are the prerequisites for the Google Cloud Associate Course?
There are no strict prerequisites, but familiarity with basic IT concepts and some experience with operating systems, networking, and cloud computing is beneficial.
Is this course certification-oriented?
Yes, the course is designed to prepare participants for the Google Cloud Associate certification exam. It covers all topics included in the certification exam guide.
How will this course benefit my career?
This certification is recognized globally and demonstrates your ability to design, develop, and manage secure, scalable, and reliable cloud solutions using Google Cloud technologies.
Are there any industry-based projects included in the course?
Yes, the course includes hands-on labs and projects that simulate real-world scenarios, allowing participants to apply their knowledge and skills to solve practical problems.
What support will I receive during and after the course?
Participants will have access to experienced instructors, personalized coordinator support, and trainer feedback throughout the course. Post-training support is also available.
Will I receive a certificate upon completion?
Yes, participants will receive a certificate of completion from Elysium Academy. Additionally, they will be well-prepared to take the Google Cloud Associate certification exam.
How can I enroll in the Google Cloud Associate Course?
You can enroll by visiting the Elysium Academy website, where you can find more details about the course schedule, fees, and registration process.
- Google Cloud Associate Course
- Duration: 45 Hours
- Level: Beginner
- Days: 45 Days
- Chapters: 20
- Language: English
- Certifications: Yes
- Code: EAPL/CRASH/CRTC24
- Course Code: EACGC
- Sub Category: Networking & Security Training Course
Google Cloud Associate Features
Master the essential networking concepts and protocols required for IT professionals, ensuring a solid foundation in network administration.
Gain practical experience through hands-on labs that simulate real-world networking scenarios, enhancing your troubleshooting skills.
Prepare for the CompTIA Network+ (N10-008) certification, a globally recognized credential validating your networking knowledge and skills.
Receive personalized support from coordinators and trainers, ensuring your questions are answered and needs are met throughout the course.
Equip yourself for roles such as network technician, network administrator, or IT support specialist, supported by your newly acquired skills.
Learn about network security principles, protocols, and best practices to secure networks against cybersecurity threats.
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