Google Cloud Platform (GCP) for Beginners

Uplatz offers in-depth and extensive training on Google Cloud Platform (GCP) for Beginners. This is video-based online course (self-paced training). You will be awarded Course Completion Certificate at the end of the course.

GCP stands for Google Cloud Platform. It's a collection of services offered by Google that let organizations run applications and data online. Think of it like renting computing power, storage, databases, and other tools instead of having to maintain your own physical servers. Here's a breakdown:

• What it is: A suite of cloud computing services that businesses can use to build, deploy, and scale applications. Imagine it as a digital toolbox with various functionalities.

• How it works: GCP runs on the same infrastructure that powers Google products like Search and Gmail. Companies can access these services through the internet and pay for what they use. This eliminates the need to manage their own physical servers, saving on costs and complexity.

• Benefits of learning GCP: There are several reasons why learning GCP can be advantageous:

  • Marketable skill: Cloud computing is a rapidly growing field, and GCP is a major player. Having GCP skills on your resume can make you more attractive to employers.
  • Cost-effective: GCP offers a free tier and pay-as-you-go pricing, making it accessible to learn and experiment without a huge upfront investment.
  • Powerful tools: GCP offers a wide range of tools for data analytics, machine learning, and artificial intelligence, which are in high demand across industries.

Key Features of GCP

1. Infrastructure: Google Cloud Platform provides a highly reliable, secure, and scalable infrastructure for running your applications. It operates on Google's global network of data centers, allowing you to deploy your applications closer to your users for improved performance.

2. Services: GCP offers a vast array of services tailored to various needs, such as:

   • Compute: Virtual Machines (VMs), Kubernetes Engine, App Engine for running applications.
   • Storage: Cloud Storage, Cloud SQL, Bigtable for storing and managing data.
   • Networking: Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud CDN for networking solutions.
   • Big Data: BigQuery, Dataflow, Dataproc for processing and analyzing large datasets.
   • Machine Learning: AI Platform, AutoML, TensorFlow for building and deploying machine learning models.
   • Security: Identity and Access Management (IAM), Security Key Enforcement (SKE), Security Command Center for securing your applications and data.

3. Management Tools: GCP provides a set of management tools to help you monitor, manage, and optimize your resources efficiently. These include tools like Stackdriver for monitoring and logging, Cloud Deployment Manager for managing infrastructure as code, and Cloud Console for centralized management.

• Introduction to Cloud Computing and GCP 1:09:23

  • 1: Cloud Computing Overview 41:16
  • 2: Google Cloud Platform (GCP) Overview 28:07

• GCP Core Infrastructure 1:33:45

  • 3: Compute Engine 32:37
  • 4: Google Cloud Storage 29:52
  • 5: GCP Networking 31:16

• Data Storage and Databases 1:38:48

  • 6: Relational Databases in Google Cloud Preview 25:07
  • 7: Non-relational Databases in Google Cloud 29:24
  • 8: Cloud Storage and Processing for Big Data 44:17

• GCP Identity and Security 58:55

  • 9: Identify and Access Management (IAM) 30:10
  • 10: GCP Security Services 28:45

GCP for Beginners - Course Syllabus

Module 1: Introduction to Cloud Computing

1.1 Overview of Cloud Computing

• Definition and characteristics

• Cloud service models (IaaS, PaaS, SaaS)

• Cloud deployment models (Public, Private, Hybrid)

1.2 Google Cloud Platform (GCP) Overview

• Introduction to GCP

• Key features and benefits

Module 2: GCP Core Infrastructure

2.1 Compute Engine

• Virtual Machines on GCP

• Instance types and customization

• Managing VMs with Compute Engine

2.2 Google Cloud Storage

• Introduction to Cloud Storage

• Buckets and objects

• Storage classes and lifecycle management

2.3 GCP Networking

• Virtual Private Cloud (VPC)

Module 3: Data Storage and Databases

3.1 Relational Databases in Google cloud

• Cloud SQL

• Cloud Spanner

• AlloyDB

3.2 Non-relational databases

• Cloud Firestore and Cloud Bigtable

3.3 Cloud Storage for Big Data

• Overview of BigQuery and Data warehouse

Module 4: GCP Identity and Security

4.1 Identity and Access Management (IAM)

• Introduction to IAM

• Key Features and Benefits of IAM

4.2 GCP Security Services

• Overview of Security features

• Encryption and key management in GCP

Everyone

Passion to learn and succeed!

• Cloud Architect
• Cloud Engineer
• Solutions Architect
• GCP Engineer
• GCP Architect
• DevOps Engineer
• Data Engineer
• Platform Engineer
• Machine Learning Engineer
• Data Scientist
• Application Developer
• Security Engineer
• Enterprise Architect
• Site Reliability Engineer (SRE)
• Data Analyst
• Cloud Consultant
• Technical Product Owner
• Project Manager

Reed courses certificate of completion

Digital certificate - Included

Uplatz Certificate of Completion

Digital certificate - Included