Cloud Compute

GCP – Cloud Compute

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Course Overview

Our in-depth GCP course is designed to equip you with the skills and knowledge needed to excel in cloud computing. Explore core GCP services, infrastructure setup, data management, and machine learning. Gain hands-on experience with real-world projects, and become proficient in designing and deploying cutting-edge cloud solutions.

What You'll Learn?

  • 𝐂𝐨𝐫𝐞 𝐆𝐂𝐏 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Master essential GCP services like Compute Engine, Cloud Storage, BigQuery, and Pub/Sub for scalable cloud solutions.
  • 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐒𝐞𝐭𝐮𝐩: Learn to set up and manage GCP infrastructure, networks, and security for reliable and secure cloud deployments.
  • 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 𝐚𝐧𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Gain expertise in GCP data storage services, including Cloud SQL, Firestore, and Dataflow for efficient data processing.
  • 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Explore GCP's powerful machine learning services like AutoML, AI Platform, and TensorFlow for building intelligent applications.
  • 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Apply your skills to real-world projects, solving complex cloud challenges and demonstrating your GCP proficiency.
  • Basic knowledge of IT concepts, such as programming and system administration.
  • A computer with an internet connection and access to the required software and tools.
  • Familiarity with Linux operating systems and command-line interfaces is helpful but not required.
  • 24 Hours of Sessions
  • Flexible Schedules
  • 24/7 Lifetime Support
  • Certification Oriented Curriculum
  • FREE Demo on Request
  • One-on-One Doubt Clearing
  • Real-time Project Use cases

Course Content

  • Introduction to GCP

    • Introduction to cloud computing

    • Overview of Google Cloud Platform and its services

    • Benefits of using GCP

    • Getting started with GCP Console and Cloud Shell

    • GCP pricing and billing overview

  • GCP Infrastructure

    • Understanding the GCP infrastructure and regions

    • Virtual Private Cloud (VPC) and networking in GCP

    • Compute Engine: deploying and managing virtual machines

    • Google Kubernetes Engine: managing containerized applications

    • Cloud Functions: serverless computing

  • Storage and Databases

    • Cloud Storage: storing and retrieving data

    • Cloud SQL: managed relational databases

    • Cloud Firestore: NoSQL database for web, mobile, and server applications

    • BigQuery: scalable analytics data warehouse

    • Cloud Spanner: globally distributed and strongly consistent database

  • Big Data Processing and Analytics

    • Dataflow: stream and batch data processing

    • Bigtable: NoSQL wide-column database for large-scale applications

    • Pub/Sub: messaging middleware for building event-driven systems

    • Dataproc: managed Apache Spark and Hadoop clusters

    • AI Platform: machine learning and AI services

  • Identity and Access Management

    • Understanding IAM roles and permissions in GCP

    • Service accounts and service account keys

    • Identity federation and integration with Active Directory

    • Access management for resources and services in GCP

  • Networking and Security

    • VPC peering and firewall rules in GCP

    • Cloud Load Balancing: distributing incoming traffic across multiple instances

    • Cloud CDN: content delivery network for fast and reliable content delivery

    • Identity-Aware Proxy: controlling access to GCP resources

    • Cloud Security Scanner: vulnerability assessment for web applications

  • Deployment and Monitoring

    • Deployment Manager: infrastructure deployment automation

    • Cloud Deployment Manager Templates and YAML configuration

    • Monitoring and logging with Stackdriver

    • Alerting and incident management with Stackdriver

    • Resource hierarchy and organizing resources in GCP

  • Data Transfer and Interconnect

    • Transfer Appliance: large-scale data transfers to Google Cloud

    • Transit VPC: connecting your on-premises network to GCP

    • Direct Peering: private connection between your network and GCP

    • Cloud VPN: secure connectivity between GCP and your on-premises network

  • Machine Learning and AI

    • Introduction to machine learning and AI on GCP

    • Cloud Machine Learning Engine: training and deploying machine learning models

    • Cloud Machine Learning Engine: training and deploying machine learning models

    • AI Building Blocks: Vision, Speech, Natural Language Processing (NLP), and Translation APIs

    • TensorFlow on GCP: leveraging the popular deep learning framework

  • Capstone Project

    • Applying all concepts and techniques learned throughout the course

    • Solving a complex GCP problem

    • Presenting the final project

Paid
  • Duration 01:00:00
  • Lessons 46
  • Language English
  • Skill Intermediate
  • Last Update December 23, 2023

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