Check Mate It Tech

checkmateittech

Email

info@checkmateittech.com

Follow us :

Google Cloud Platform (GCP)

(212 Ratings)
4.9/5
Google Cloud Platform (GCP) is a set of services that Google offers for cloud computing. It gives businesses and developers the infrastructure, platform, and application services they need to build, deploy, and control apps and data in the cloud. GCP has services for computing, storage, databases, machine learning, data analytics, networking, and more. Users can change the number of resources they use and only pay for what they use.

Overview

Google Cloud Platform (GCP) is a set of services that Google offers for cloud computing. It gives businesses and developers the infrastructure, platform, and application services they need to build, deploy, and control apps and data in the cloud. GCP has services for computing, storage, databases, machine learning, data analytics, networking, and more. Users can change the number of resources they use and only pay for what they use.

Why Google Cloud Platform (GCP)?

Google Cloud Platform offers a wide range of cloud services, such as computing, storage, databases, machine learning, and more. Here are some reasons why GCP is so important in current IT and business:

Scalability:

GCP lets businesses add or take away resources based on how much they are being used. This helps optimize prices and performance.

Global Reach:

The global infrastructure of GCP makes it possible for businesses to offer low-latency services to people all over the world.

Innovation:

GCP lets you use cutting-edge technologies like machine learning, data analytics, and the Internet of Things (IoT).

Cost efficiency:

Only pay for the resources you use. This way, you can avoid paying for building costs up front and get the most out of your budget.

Key Highlights of Our Training:

Introduction to Google Cloud Platform:

Learn about the different parts, features, and benefits of Google Cloud Platform (GCP).

Compute Services:

Check out Google Compute Engine, Kubernetes Engine, and App Engine, which are GCP’s computing services.

Storage and Databases:

Look into GCP storage choices like Cloud Storage, Cloud SQL, Bigtable, and Datastore.

Data Analytics and Machine Learning:

Use Big Query to learn about data analytics, and use AI Platform to learn about machine learning.

Networking and Security:

Know how GCP networking works, what a Virtual Private Cloud (VPC) is, and what the best security practices are.

Serverless computing:

Use Cloud Functions to look into serverless design for event-driven apps.

Deployment and Management:

Use tools like Deployment Manager to learn how to deploy and handle apps on GCP.

Monitoring and Logging:

Look into GCP’s monitoring and logging features to see how things are working.

Why Choose Our GCP Training?

Expert Instructors:

Learn from cloud experts who share useful tips and the best ways to do things in the industry.

Hands-On Learning:

 Learn by doing labs, projects, and models of the real world that have to do with GCP.

Industry Relevance:

Get skills that are in high demand in jobs like cloud architecture, development, and administration.

Career advancement:

Knowing GCP opens up possibilities in cloud computing and organizations that are driven by technology.

Flexible Learning Formats:

You can choose to take online courses at your own pace.

Who Should Attend:

  • People who work in IT and System Administrators
  • Architects and developers for the cloud
  • People who build and analyze data
  • Anyone who wants to use cloud technology can do so with GCP

Why Choose Checkmate IT Tech?

If you are looking for training providers that offer ongoing support and resources to help you succeed in your Google Cloud Platform (GCP) journey. Checkmate IT offers a comprehensive introduction to Google Cloud Platform (GCP), including both theoretical and practical aspects. These may include access to trainers, online communities, practice exercises, and job placement assistance. Checkmate IT Tech offers flexible training options that suit your schedule and learning preferences.

Curriculum:

  • Overview of Cloud Computing and GCP’s Role
  • Understanding GCP Services and Offerings
  • Setting up a GCP Account and Cloud Console
  • Introduction to GCP Regions and Zones
  • Creating and Managing Virtual Machines with Compute Engine
  • Networking in GCP: Virtual Private Cloud (VPC), Subnets, Firewalls
  • Google Cloud Storage: Object, File, and Block Storage
  • Cloud SQL and NoSQL Databases: Bigtable, Fire store
  • Data Transfer and Migration Services in GCP
  • Managing Access and Permissions in GCP
  • Creating and Managing IAM Users and Service Accounts
  • Role-Based Access Control in GCP
  • Google Cloud Load Balancing and Network Services
  • Hybrid and Multi-Cloud Networking with VPN and Interconnect
  • GCP’s Content Delivery Network (CDN) Services
  • Google Cloud Load Balancing and Network Services
  • Hybrid and Multi-Cloud Networking with VPN and Interconnect
  • GCP’s Content Delivery Network (CDN) Services
  • Big Data Analytics with Google Big Query
  • Introduction to AI and Machine Learning Services in GCP
  • Using AI and ML APIs and Building Custom Models
  • GCP Security Best Practices and Features
  • Identity and Access Management for GCP Services
  • Compliance and Data Protection in GCP
  • Introduction to Serverless Computing: Cloud Functions, App Engine
  • Building and Deploying Serverless Applications
  • Event-Driven Architectures with Cloud Pub/Sub
  • CI/CD Pipelines with Google Cloud Build and Cloud Source Repositories
  • Infrastructure as Code with Deployment Manager and Terraform
  • Monitoring and Logging with Stack driver
  • Guided Hands-On Projects: Implementing Solutions on GCP
  • Student Presentations and Solution Demonstrations
  • Review of Key Concepts and Takeaways
  • Discussion of Further Learning Paths and Resources
  • Certificates of Completion

Career Transition

Skills:

  • A Look at GCP Services and Products
  • The Basics of Cloud Computing
  • Compute Engine and Virtual Machines
  • Services for storing data and managing databases (Cloud Storage, Cloud SQL, Bigtable, Fire store)
  • Virtual Private Cloud (VPC) and networking
  • GKE, or Google Kubernetes Engine
  • App Engine by Google
  • Big Data Services (Big-Query, Dataflow, and Dataproc) and Data Analytics
  • Machine Learning on GCP (AutoML, AI Platform)
  • Management of Identity and Access (IAM)
  • GCP has rules for security and compliance
  • Logging, Error Reporting, and Monitoring (Stack driver)
  • Continuous Integration/Continuous Deployment (CI/CD) and Deployment
  • Computing without a server (Cloud Functions)
  • Strategies for Hybrid and Multiple Clouds on GCP


Meet Your Mentors

Anna Callaghan

Experience: Anna Callaghan is a Google Cloud Certified Professional with over 5 years of experience in different projects involving GCP services like Compute Engine, Kubernetes Engine, and Cloud Storage. Course Insights: In her training sessions, Anna Callaghan will cover GCP infrastructure setup, virtual machine management, and container orchestration using GKE. She will guide students through creating scalable and reliable cloud solutions for GCP.

Sonia Sahul

Experience: Sonia Sahul is a Google Cloud Data Scientist with expertise in machine learning and data analysis on GCP. She has experience in building predictive models, analyzing data using Big Query, and using AI Platform for machine learning projects. Course Insights: Sahul's course will focus on data science and machine learning on GCP, covering data preprocessing, model training, deployment using AI Platform, and hands on how to use GCP's machine learning services for building intelligent applications.

Jessica Linen

Experience: Jessica Linen is a Google Cloud Security Specialist with a background in cloud security and compliance. Jessica's training sessions will highlight cloud security on GCP, including identity and access management, network security, and data encryption.

    Program Fee

    Fee
    1950$

    Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

    Career Services By Checkmate IT Tech

    Placement Assistance

    Placement opportunities are provided once the learner is moved to the placement pool. Get noticed by our 400+ hiring partners.

    Exclusive access to Checkmate IT Tech Job portal

    Placement opportunities are provided once the learner is moved to the placement pool. Get noticed by our 400+ hiring partners.

    Mock Interview Preparation

    Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

    One-on-one Career Mentoring Sessions

    Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

    Career Oriented Sessions

    Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.

    Resume & LinkedIn Profile Building

    Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

    Frequently Asked Questions

    Google Cloud Platform (GCP) is a set of cloud computer services that Google offers. It includes services for infrastructure, platforms, and storage. It’s important because it lets businesses build, deploy, and control apps and services in the cloud, which makes them more flexible and scalable.

    No, you don’t need to know anything about cloud computing before learning about GCP. But having a simple understanding of clouds can be helpful.

    Learning about GCP can help you learn cloud architecture, how to install virtual machines, how to manage databases, how to use big data services, how to set up networking, and how to use containerization.

    A GCP training program usually covers things like GCP core services, virtual machines, storage solutions, data analytics with Big Query, machine learning APIs, cloud networking, and security.

    Google Cloud does offer certificates, so the answer is yes. Google Cloud Professional Data Engineer, Google Cloud Associate Cloud Engineer, and Google Cloud Professional Cloud Architect are all examples.

    Yes, we do offer help after training to help you get a job. This help includes access to tools, chances to meet new people, help with making a resume, and help getting ready for an interview.

    You can work on projects like deploying a website on GCP, setting up a virtual machine instance, making a cloud-based database, analyzing data with Big Query, and deploying apps with Kubernetes.

    Yes, within the GCP ecosystem, you can specialize in things like cloud design, data engineering, machine learning, application development, and more.

    If you learn GCP, you can get jobs like Cloud Engineer, Cloud Architect, Data Engineer, and DevOps Engineer, and you can work in fields like technology and healthcare.

    Course Registration Form