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Zero to Master Program

Google Cloud

Google Cloud training offers comprehensive education on the tools and services provided by Google Cloud Platform (GCP). It covers essential topics such as cloud computing fundamentals, infrastructure, and security, alongside hands-on practice with GCP services like Compute Engine, Kubernetes, and BigQuery. The training is designed for a range of learners, from beginners to advanced professionals, helping them to deploy, manage, and scale applications on the cloud. Participants gain practical skills through interactive labs and real-world scenarios, preparing them for industry-recognized certifications and roles in cloud engineering, data analysis, and more.

Fee

COURSE FEE

25,000

4.8

12K+ Learners enrolled

100 +

Duration(Hours)

350+

Problems

This is where you embark on an amazing journey!

Most flexible program in the industry

Freedom to learn

Watch classes anytime at your convenience.

Cheat days

Catch up on the course when life calls you elsewhere.

Features that keep you going

A structured curriculum that makes learning easy

Practice coding problems of varying difficulty

Engagement coach to keep you motivated

Compile & run in an integrated coding environment

Get doubts resolved in 30 mins

1:1 sessions over voice call & chat with our skilled teaching assistants

Industry leading mentors to help you grow

1:1 Mock interviews with resume and career guidance

Structured feedback to make you better

Get a chance to be referred to your mentors’ company

Experience a seamless job switch with hiring assistance

Skill-based hiring across all levels of experience

The results

110%

Average salary hike

7000+

Transitions to product companies

250+

Trusted placement partners

Frequently asked but seldom read questions

Yes, this course is entirely offline, and we offer some courses online as well.

Anyone interested in cloud computing, including IT professionals, developers, system administrators, and those seeking Google Cloud certification.

Submissions are evaluated based on criteria such as correctness, completeness, critical thinking, and adherence to instructions, typically using rubrics or grading guidelines provided by the instructor.

You will learn about Google Cloud Platform services, cloud architecture, data storage, networking, security, and how to deploy and manage applications on Google Cloud.
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Companies

Meet the faculty legends that will make you legendary

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Praveen Kumar

Founder & Instructor

Praveen has a full stack development experience and professional instructor and trainer for Flutter, Data Science, Machine Learning and Python Programming. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations.

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Lenin Prakash

Co-Founder & Instructor

He is an expert in JavaScript & React (Front-end) and has worked on open-source projects like Firebug and Zulip. He has also served as a GCI (Google Code-In) Mentor with Zulip. In his previous role as a Software Engineer he has worked for Goibibo-MMT.

Course curriculum for the curious

  • -Overview of Cloud Computing
  • -Introduction to Google Cloud Platform
  • -Setting Up a GCP Account
  • -Navigating the Google Cloud Console
  • -Introduction to GCP Services and Tools
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  • -Introduction to Google Compute Engine
  • -Creating and Managing Virtual Machines
  • -Working with Disk Storage
  • -Networking in GCE
  • -Load Balancing and Autoscaling
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  • -Introduction to Kubernetes and GKE
  • -Creating and Managing GKE Clusters
  • -Deploying and Managing Applications in GKE
  • -Configuring Networking in GKE
  • -Monitoring and Logging in GKE
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  • -Introduction to Google Cloud SQL
  • -Setting Up and Managing Cloud SQL Instances
  • -Introduction to Google Cloud Firestore
  • -Using Firestore for NoSQL Databases
  • -Introduction to Google Cloud Spanner
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  • -Introduction to Google BigQuery
  • -Creating and Managing Datasets and Tables
  • -Querying Data with SQL in BigQuery
  • -Optimizing BigQuery Performance
  • -BigQuery Data Transfer Service
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  • -Introduction to Google Cloud VPC
  • -Configuring and Managing VPC Networks
  • -Introduction to Cloud Load Balancing
  • -Setting Up Cloud CDN
  • -Using Cloud DNS
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  • -Introduction to Identity and Access Management (IAM)
  • -Managing IAM Policies and Roles
  • -Introduction to Cloud Identity
  • -Using Google Cloud Security Command Center
  • -Data Encryption and Key Management
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  • -Introduction to Google Cloud Storage
  • -Creating and Managing Buckets
  • -Object Lifecycle Management
  • -Access Control and Security
  • -Data Transfer and Storage Classes
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  • -Introduction to DevOps on Google Cloud
  • -Setting Up Cloud Build
  • -Managing CI/CD Pipelines with Cloud Build
  • -Using Container Registry
  • -Deploying with Google Cloud Deploy
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  • -Introduction to Google Cloud AI and Machine Learning Services
  • -Using AI Platform for Model Training and Deployment
  • -Introduction to AutoML
  • -Using Pre-trained Models with Vision, Speech, and NLP APIs
  • -Introduction to TensorFlow on GCP
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  • -Introduction to Google Cloud Monitoring
  • -Setting Up and Configuring Monitoring Dashboards
  • -Using Google Cloud Logging
  • -Managing Costs with Google Cloud Billing
  • -Setting Up Billing Alerts and Reports
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  • -Introduction to Google Cloud Functions
  • -Creating and Deploying Cloud Functions
  • -Introduction to Google Cloud Run
  • -Managing Containerized Applications with Cloud Run
  • -Introduction to App Engine
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  • -Introduction to Google Cloud Dataflow
  • -Creating and Managing Data Pipelines with Dataflow
  • -Introduction to Google Cloud Dataproc
  • -Managing Hadoop and Spark Clusters with Dataproc
  • -Using Pub/Sub for Real-Time Data Streaming
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  • -Introduction to Anthos
  • -Managing Hybrid and Multi-Cloud Environments with Anthos
  • -Using Migrate for Compute Engine
  • -Setting Up Interconnect and VPN for Hybrid Cloud
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  • -Planning the Capstone Project
  • -Setting Up the Project Environment
  • -Implementing Cloud Solutions
  • -Integrating GCP Services
  • -Testing and Deployment
  • -Project Presentation and Review
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