Google Cloud Certification Training Course
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40 Days
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Google Cloud Training Course Details
Introduction To Google Cloud Training
What you’ll learn
- Understand cloud-computing platforms, and how GCP fits into them
- Learn GCP Core Skills – Networking, Computing, Storage, databases, & Security
- Use IAM, Security, and Networking Services
- Learn Compute, Storage and Database Services
- Master Containers, APIs and other various tools
- Manage security and design Identity solutions in GCP
- Architect Data Storage Solutions in GCP
- How to design resilient solutions in GCP
- How to monitor and optimize costs in GCP
- To prepare students for Google Professional Cloud Architect Certification Exam
- To teach Google Cloud concepts comprehensively and turn students into Cloud Gurus
Who this course is for:
- Any IT experienced Professional who want to build career in Google Cloud
- Graduates or post graduates who want to Jump Start their career with Google Cloud
- Freshers who want to get an IT job with great pay
Prerequisites for Google Cloud Training:
We will cover these topics as part of Google Cloud training course.
- Basics of cloud computing
Why Enrol in Google Cloud?
Google Cloud Platform (GCP) is rated as most popular IaaS Product in the market today and has 1000s of Jobs available. GCP Developer is very lucrative career option to consider today
Google Cloud Platform (GCP) is a widely used cloud computing platform for several reasons, including their convenient, easy-to-use tools and services
The average annual pay for an Google Cloud in the United States is $134,837 a year - Ziprecruiter.com
Why Choose Us
Learn from the Best
We have got the certified training experts with domain expertise to train you
Real Time Implementation Projects
We will use real time implementation scenarios to explain the course content
Interactive Online Training Sessions
Expert trainers take highly interactive live training sessions and we do share the training videos
Resume, Interview & Job Assistance
We will help you with resume preparation, train you for the interviews, and provide job assistance
Live Demos
You can attend up to 3 live demo classes before you join the course
24*7 Support
We work round the clock and respond to your queries promptly
2000+
Batches Completed
20000+
Happy Students
5 *****
Star Ratings
50+
Expert Trainers
Google Cloud Training Course Curriculum
- Introduction to Cloud Computing
- Cloud Computing Service Models
- Cloud Computing Deployment Models
- Service Comparison: AWS, Azure, and GCP
- Google Cloud Platform (GCP) Infrastructure
- GCP and its Benefits
- GCP Global Infrastructure and Regions
- Availability Zones and High Availability
- Different GCP Services
- Creating an GCP Free Tier Account
- GCP Account Activation Troubleshooting
- Different GCP Web Services
- GCP Architecture
- 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
- 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
- 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
- Understand GCP Computing Services
- Understand and implement Compute options (vCPU and Memory) specific to workload
- Creating and managing virtual machines in Google Cloud
- Launching VMs on-demand using Google Compute Engine
- Choosing the right computing solutions based on the workload like memory or CPU
- Persistent disk – HDD, SSD
- Load Balancing
- Common Compute Engine actions
- Overview and features of GCP load balancer
- Types of load balancers
- Global and regional load balancers
- External and internal load balancers
- technology behind LB
- Internal/external https load balancing
- Internal TCP/UDP load balancing
- SSL/TCP proxy load balancing
- Components of LB
- Auto scaling
- Managed and unmanaged instance groups
- Create external http global load balancer with autoscaling (LAB)
- Understand Cloud Storage – Nearline, Coldline
- Cloud SQL
- 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
- Understand Containers and their benefits
- What is a microservice
- What is a container
- What is docker and docker images
- Container optimized OS and Container registry
- Run wordpress on docker (LAB)
- Create a Microservice, then image and run on docker (LAB)
- what is Kubernetes
- Kubernetes Architecture
- Understanding of nodes & cluster
- Create Kubernetes cluster (LAB)
- Run wordpress on Kubernetes and expose outside (LAB)
- Understanding pods & services
- Understanding replication controllers
- Understanding deployments
- Understanding yaml files
- Understanding Kustomize
- Managing deployments using Kustomize
- Create guestbook application - frontend deployment, backed redis master and slave deployments
- Test scale up and scale down of pods
- Upgrade and downgrade pod version
- How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine
- 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
- 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
- Infrastructure automation, Images, Metadata,
- Scripts, Google Cloud API
- Cloud Pub/Sub, API Management
- Cloud Functions, Cloud Source Repositories, Specialty APIs
- App Engine
- Google Stack driver: Overview, Integration, Monitoring, Logging, Error reporting, Tracing
- Understanding how to migrate to Google Cloud
- Various criteria to be considered
- Choosing the right options as per the specific needs
- Managing a hybrid cloud model
- Complete migration from the on-premises model to the cloud
- Choosing an automation framework for resource provisioning
- Understanding how to migrate to Google Cloud
- Various criteria to be considered
- Choosing the right options as per the specific needs
- Managing a hybrid cloud model
- Complete migration from the on-premises model to the cloud
- Choosing an automation framework for resource provisioning
- Introduction to Realtime Project Examples 1, 2
- Build Project Examples 1, 2 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Examples 3, 4
- Build Project Examples 3, 4 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Examples 5, 6
- Build Project Examples 5, 6 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Examples 7, 8
- Build Project Examples 7, 8 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Examples 9, 10
- Build Project Examples 9, 10 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Examples 11, 12
- Build Project Examples 11, 12 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Examples 13, 14
- Build Project Examples 13, 14 for Realtime scenarios
- Test the Project Examples and debug the if required
- Introduction to Realtime Project Example 15
- Build Report 15 for Realtime scenario
- Course Revision
- Explain various GCP Certification Options
- Discuss 60+ Important Google Professional Cloud Architect Certification
- Practice GCP Professional Cloud Architect
- Prepare Crisp Resume as GCP Developer/Architect
- Discuss common interview questions in GCP
- Explain students what jobs they should target and how
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ABOUT UNOGEEKS
Who We Are
Unogeeks is the Top Software Training Institute which delivers Best In Class training in Trending IT Courses. We help you
1) Master IT Skills Hands On from Industry Experts
2) Complete Real World Implementation Projects
3) Clear Official Certification Exams
4) Build Resume and Attend Mock Interviews
5) Build Confidence and Get Job Ready
Google Cloud Training FAQs
There are several reasons why you might consider Google Cloud Platform (GCP) training:
- Leading Cloud Platform: Google Cloud Platform is one of the leading cloud computing platforms, offering a wide range of services and solutions. By gaining expertise in GCP, you position yourself to take advantage of the growing demand for professionals skilled in Google Cloud technologies.
- Career Opportunities: GCP skills are highly sought after by organizations worldwide. By obtaining GCP certifications and training, you enhance your career prospects and open up opportunities in various roles, including cloud architect, cloud engineer, data engineer, and more.
- Comprehensive Service Offerings: GCP provides a comprehensive suite of services, including computing, storage, databases, networking, AI, machine learning, and analytics. Training in GCP equips you with the knowledge and skills to leverage these services effectively and design and deploy scalable and reliable cloud-based solutions.
- Integration with Google Services: If you are already familiar with Google services such as Google Workspace (formerly G Suite), YouTube, or Google Analytics, learning GCP can be advantageous. GCP seamlessly integrates with these services, enabling you to leverage the power of Google's ecosystem for your cloud infrastructure needs.
- Google Cloud Certification Program: Google offers a well-structured certification program for GCP, providing a clear path for professional growth and validation of your GCP skills. Earning GCP certifications demonstrates your expertise and commitment to continuous learning.
- Scalability and Cost Efficiency: GCP offers scalability and cost efficiency, allowing organizations to scale their cloud resources based on demand and pay only for what they use. By learning GCP, you gain skills to optimize resource utilization and cost management, contributing to the operational excellence of organizations.
- Data Analytics and AI Capabilities: GCP provides powerful tools and services for data analytics, AI, and machine learning. Learning GCP enables you to harness these capabilities, analyze large datasets, build intelligent applications, and derive insights to drive business decisions.
Yes, Google Cloud Platform (GCP) offers courses specifically designed for beginners. GCP recognizes the importance of providing entry-level training to individuals who are new to cloud computing or have limited experience with GCP services.
These beginner-level courses typically cover foundational concepts, terminology, and basic functionality of GCP services. They aim to familiarize learners with GCP's core features, infrastructure, and common use cases. Through hands-on exercises and practical examples, beginners can gain a solid understanding of how to navigate the GCP console, create and manage resources, and perform basic tasks.
By starting with beginner-level GCP courses, individuals can gradually build their knowledge and skills in cloud computing and progress to more advanced topics and certifications as they gain confidence and experience. These courses provide a strong foundation for further exploration and specialization within the GCP ecosystem.
Google Cloud offers a comprehensive certification program that validates individuals' skills and expertise in various Google Cloud technologies and services. The Google Cloud certification courses cover a wide range of topics, including infrastructure, data analytics, machine learning, application development, and more. The certification program consists of multiple levels, including Associate, Professional, and Specialty certifications, catering to different roles and domains. By earning a Google Cloud certification, individuals demonstrate their proficiency in Google Cloud Platform and enhance their credibility in the industry. Google Cloud certifications can significantly boost career opportunities, job prospects, and earning potential for professionals working with Google Cloud technologies.
There are several compelling reasons to learn Google Cloud Platform (GCP):
- Growing Demand: GCP is a leading cloud platform, and the demand for professionals with GCP skills is increasing rapidly.
- Career Opportunities: Learning GCP opens up diverse job opportunities in cloud computing, including roles such as cloud architect, cloud engineer, data engineer, and more.
- Comprehensive Services: GCP offers a wide range of services, enabling you to develop, deploy, and scale applications and infrastructure efficiently.
- Google Cloud Certifications: GCP certifications validate your expertise and enhance your professional credibility.
- Integration with Google Ecosystem: GCP seamlessly integrates with other Google services, providing additional benefits and synergies.
Yes, you can learn Google Cloud courses online. Google Cloud offers a variety of online training options to cater to different learning preferences and schedules. These online courses are designed to provide flexible and accessible learning experiences.
UnoGeeks training platform, called Google Cloud Training, offers online courses that cover various topics and skill levels. These courses typically include video lectures, hands-on labs, quizzes, and practical exercises to enhance your understanding and practical skills with Google Cloud Platform (GCP).
Yes, learning Google Cloud Platform (GCP) courses online can be highly beneficial. Online courses offer flexibility, self-paced learning, and access to comprehensive resources. We often provide hands-on labs and real-world examples, allowing you to gain practical experience in using GCP services effectively.
Google Cloud online courses are suitable for a variety of individuals, including IT professionals, software developers, system administrators, data engineers, aspiring cloud professionals, and business decision-makers. Whether you are new to cloud computing or looking to enhance your skills in Google Cloud Platform (GCP), online courses provide valuable knowledge and expertise to help you effectively utilize GCP services and advance in your career.
The prerequisites for Google Cloud courses can vary depending on the specific course and certification level. However, here are some general prerequisites to consider:
- Basic Computer Skills: Familiarity with computer systems, operating systems, and basic networking concepts is beneficial.
- Cloud Computing Knowledge: Understanding the fundamentals of cloud computing, such as virtualization, storage, and networking concepts, provides a helpful foundation.
- Programming Knowledge: Some courses may require programming skills, especially if they focus on application development or data engineering. Proficiency in languages like Python or Java can be advantageous.
- Familiarity with Command Line Interface (CLI): Basic knowledge of using command-line tools and working in a command-line interface is useful, as it is often utilized in managing cloud resources.
Yes, there are excellent career opportunities available after learning Google Cloud Platform (GCP) and obtaining GCP certifications. GCP is a leading cloud platform, and organizations worldwide are adopting it for their cloud infrastructure needs. By gaining expertise in GCP and earning certifications, you position yourself for a rewarding career in cloud computing.
Professions related to GCP include cloud architects, cloud engineers, data engineers, DevOps engineers, solution architects, and more. These roles involve designing, implementing, and managing cloud solutions, infrastructure, and data on the GCP platform. The demand for professionals with GCP skills is growing rapidly, and certified individuals often enjoy better job prospects, competitive salaries, and opportunities to work on innovative projects.
The system requirements for Google Cloud courses online can vary depending on the specific course and training provider. However, here are some general guidelines for the system requirements:
- Operating System: Google Cloud courses can typically be accessed from various operating systems, including Windows, macOS, and Linux.
- Internet Connection: A stable and reliable internet connection is essential for accessing course materials, videos, and participating in online labs or exercises.
- Web Browser: Most online Google Cloud courses can be accessed through popular web browsers such as Google Chrome, Mozilla Firefox, or Microsoft Edge. Ensure you have the latest version of your preferred browser installed.
- Hardware: A computer or laptop with sufficient processing power and memory to run the online course materials smoothly. The specific requirements may vary based on the course content.
- Software: Some courses may require the installation of certain software tools or development environments related to Google Cloud. Check the course requirements for any necessary software installations.
Yes, we do give GCP Certifification after the completion of the course.
Upcoming Batch Schedule
WeekDay Batch 1
Monday – Saturday
07:00 – 08:30 AM (IST)
WeekDay Batch 2
Monday – Friday
08:30 – 10:00 AM (IST)
WeekDay Batch 3
Monday – Friday
07:00 – 08:30 PM (IST)
WeekEnd Batch 1
Saturday – Sunday
06:30 – 09:30 AM (IST)
WeekEnd Batch 2
Saturday – Sunday
05:00 – 08:00 PM (IST)
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