Unlock the Power of the Cloud with Google Cloud Platform Fundamentals: ENCODE-IT’s Comprehensive Training Course!

Google Cloud Platform (GCP) is one of the leading cloud service providers globally, offering a suite of
innovative cloud solutions for computing, storage, data analysis, machine learning, and networking.
ENCODE-IT’s Google Cloud Platform Fundamentals course is designed to provide a comprehensive
introduction to GCP, its core services, and how it helps businesses to innovate and scale on the
cloud. Whether you’re an IT professional, developer, or data scientist, this course equips you with
the foundational knowledge needed to leverage GCP’s robust cloud services for modern enterprise
needs.
In this course, you will learn about Google Cloud’s services for compute, storage, networking, and
security, with hands-on labs and projects designed to solidify your understanding. By the end of this
training, you will have a solid understanding of Google Cloud’s core features, helping you make
informed decisions about building and managing cloud-based solutions.

Salary Expectations in India:
Professionals proficient in Google Cloud Platform are in high demand, as businesses migrate to the
cloud to gain flexibility and scale. For entry-level roles such as Google Cloud Engineer or Cloud
Support Associate, salaries in India range from ₹6,00,000 to ₹10,00,000 annually. With experience,
Google Cloud specialists in roles like Cloud Architect or Cloud Consultant can earn between
₹15,00,000 and ₹22,00,000 per year. Senior-level positions such as Cloud Solution Architects or GCP
Consultants can command salaries upwards of ₹30,00,000, reflecting the high demand for cloud
expertise in the industry.

Placement Assistance and Certification:
At ENCODE-IT, we focus on ensuring the success of our students. Our Placement Assistance program
provides resume support, interview coaching, and direct job placement help to help you kick-start
your career. Upon successful completion of the course, you will receive Google Cloud Platform
Fundamentals Certification, a highly valued credential in the tech industry that validates your
proficiency in Google Cloud services.

Course Curriculum:
Introduction to Google Cloud Platform (GCP):
 Overview of Cloud Computing: Concepts and Benefits
 Google Cloud Platform: Introduction, History, and Core Services
 GCP’s Role in the Cloud Industry: Comparing AWS, Azure, and GCP
 Understanding the Cloud Computing Models: IaaS, PaaS, and SaaS
 Introduction to Google Cloud Console and Command Line Interface (CLI)

Google Cloud Core Services:
 Overview of Google Cloud Services: Compute, Storage, and Networking
 Introduction to Google Compute Engine (VMs) for Compute Needs

 Managing Virtual Machines with Google Compute Engine: Configuration and Scaling
 Google Kubernetes Engine (GKE): Running Containerized Applications
 Introduction to Google App Engine (GAE) for Platform as a Service (PaaS)
 Understanding Google Cloud Functions for Serverless Computing

Google Cloud Storage and Databases:
 Introduction to Google Cloud Storage: Object Storage and Buckets
 Managing Data in Google Cloud Storage: Uploading, Downloading, and Securing Data
 Google Cloud Databases: Overview of Cloud SQL, Cloud Bigtable, and Cloud Datastore
 Using Google Cloud Spanner for Global Database Needs
 Choosing the Right Database: SQL vs NoSQL on Google Cloud
 BigQuery: Google’s Managed Data Warehouse for Big Data Analysis

Networking in Google Cloud:
 Introduction to Google Cloud Networking: VPC, Subnets, and Firewalls
 Setting Up Virtual Private Cloud (VPC) and Network Configuration
 Google Cloud Load Balancer: Traffic Distribution and Global Scaling
 Private and Public IP Addressing on Google Cloud
 Interconnect and VPN for Secure Communication between On-Premise and Cloud
 Networking Security: Identity and Access Management (IAM) and Cloud Security

Identity and Access Management (IAM) in Google Cloud:
 Introduction to Google Cloud IAM: Understanding Roles, Policies, and Permissions
 Setting Up Users, Groups, and Service Accounts in IAM
 Managing Access Control for Resources in Google Cloud
 Implementing Best Practices for IAM and Security in GCP
 Auditing and Monitoring IAM with Cloud Audit Logs

Google Cloud Security and Compliance:
 Overview of Google Cloud’s Security Model
 Google Cloud Encryption: Data Encryption in Transit and at Rest
 Google Cloud Identity-Aware Proxy (IAP): Securely Controlling Access to Applications
 Best Practices for Securing Google Cloud Resources
 Compliance and Certifications on Google Cloud: GDPR, HIPAA, SOC 2

Big Data and Analytics on Google Cloud:

 Introduction to Big Data Processing and Analysis on Google Cloud
 Using Google BigQuery for Data Warehousing and Analytics
 Dataflow for Real-Time Data Processing and ETL Operations
 Introduction to Google Cloud Pub/Sub for Messaging and Streaming Data
 Understanding Google Cloud Dataproc for Hadoop and Spark Cluster Management

Machine Learning on Google Cloud:
 Introduction to Google Cloud’s AI and Machine Learning Services
 Google Cloud AI Tools: AutoML, AI Hub, and TensorFlow on Google Cloud
 Using BigQuery ML for Machine Learning and Data Analysis
 Google Cloud Vision API: Building Smart Image Recognition Applications
 Google Cloud Natural Language API: Text Analysis and Sentiment Analysis
 Using Google Cloud’s Machine Learning Engine for Training Models

Google Cloud Monitoring and Management Tools:
 Overview of Google Cloud’s Operations Suite (formerly Stackdriver)
 Google Cloud Monitoring: Setting Up Dashboards and Alerts
 Logging with Google Cloud Logging: Collecting and Analyzing Logs
 Managing Cloud Resources Using Google Cloud Console and Cloud CLI
 Cloud Billing and Cost Management: Optimizing Your Google Cloud Costs

Hands-On Projects and Exercises:
 Setting Up and Configuring Google Compute Engine VMs
 Creating and Managing Cloud Storage Buckets and Databases
 Deploying Applications on Google App Engine and Google Kubernetes Engine
 Configuring Virtual Private Cloud (VPC) and Managing Networking Resources
 Implementing Google BigQuery for Data Analytics and Reporting
 Building a Simple Machine Learning Model Using Google Cloud AI Services

Key Features of the Course:
 Tools & Platforms: Google Cloud Console, Compute Engine, Kubernetes Engine, BigQuery,
Cloud Functions
 Real-World Applications: Cloud Migration, Data Analytics, AI & Machine Learning, Secure
Networking, and Cost Optimization
 Interactive Learning: Hands-On Labs, Real-Time Scenarios, and Quizzes

 Capstone Project: Design and Implement a Complete Google Cloud Solution for a Business
Use Case

Start Your Cloud Journey with Google Cloud Platform:
Enroll in ENCODE-IT’s Google Cloud Platform Fundamentals course to master cloud technologies and
take your career to new heights. Google Cloud is at the forefront of cloud computing innovation, and
mastering its platform will give you the tools to build scalable, efficient, and secure cloud-based
solutions.