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See why over 25,000+ Students choose ACTE
Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Google Cloud Training Projects
Become a Google Cloud Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Deploying a Virtual Machine
This project involves creating and configuring a virtual machine (VM) instance using Google Compute Engine (GCE). Participants will learn how to select the right machine type, configure networking and firewalls, and connect via SSH.
Setting Up a Google Cloud Storage Bucket
Learners will create and configure a Google Cloud Storage bucket to store and manage files. They will explore different storage classes (Standard, Nearline, Coldline, and Archive), upload files, and set permissions for public or private access.
Hosting a Static Website
This project teaches how to use Google Cloud Storage to host a simple static website. Users will upload HTML, CSS, and JavaScript files, configure bucket permissions, and enable website hosting settings. It’s a great introduction to serverless web hosting.
Deploying a Scalable Web Application
Learners will develop and deploy a web application using Google App Engine. They will configure autoscaling, deploy code, and integrate with Cloud Datastore or Firestore for database management.
Automating Workflows with Cloud Functions
This project involves creating an event-driven application using Google Cloud Functions and Pub/Sub. Participants will develop a cloud function that triggers on file uploads or database updates.
Building a Data Pipeline
Learners will create a streaming data pipeline using Cloud Dataflow and Apache Beam. They will process real-time data and perform transformations before storing it in BigQuery.
Deploying a Kubernetes Cluster
Learners will set up a Kubernetes cluster on GKE, deploy containerized applications , configure auto-scaling , and manage workloads. This project is crucial for understanding container orchestration.
Developing a Machine Learning Model
Participants will train and deploy a machine learning model using Google AI Platform. They will preprocess data, use TensorFlow or AutoML, and create predictions via API endpoints.
Implementing a Multi-Cloud Strategy
This project involves deploying and managing applications across multiple cloud platforms using Google Anthos. Learners will integrate hybrid environments and automate.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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13 - Oct - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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15 - Oct - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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18 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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19 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Google Cloud Training Overview
Google Cloud Certification in Online with Potential Career Paths
A career in Google Cloud Certification Course offers diverse opportunities, as cloud computing continues to grow across industries. Professionals skilled in Google Cloud can explore various roles, including Cloud Engineer, responsible for deploying, managing, and optimizing cloud-based applications and infrastructure. Another exciting career path is becoming a Cloud Solutions Architect, where professionals design scalable, secure, and efficient cloud architectures tailored to business needs. DevOps Engineers leverage Google Cloud to automate workflows, manage CI/CD pipelines, and ensure high availability of cloud applications. Data professionals, such as Big Data Engineers and Machine Learning Engineers, use Google Cloud tools like BigQuery, Dataflow, and AI Platform to process large datasets and build predictive models. Security specialists, such as Cloud Security Engineers, focus on implementing best practices in IAM, encryption, and compliance to safeguard cloud environments.
The Requirements for Google Cloud Course in Online
- Understanding of Google Cloud Console:Familiarity with the Google Cloud Console is essential to navigate, configure resources, and manage cloud projects effectively.
- Networking Basics:Virtual Private Cloud (VPC) – Configuring secure private networks for cloud applications.Subnets & Firewalls – Managing network segmentation and security policies.
- Compute & Storage Services:Google Compute Engine (GCE) – Deploying and managing virtual machines (VMs).Google Kubernetes Engine (GKE) – Running containerized applications.
- Database Management:Cloud SQL – Managing relational databases such as MySQL and PostgreSQL.BigQuery – Performing large-scale data analysis and queries.
- Cloud Security & IAM :IAM Policies & Role Assignments – Implementing least privilege access controls.Encryption Standards – Securing data at rest and in transit.
Enrolling Program in Google Cloud Training in Online
Google Cloud Placement Training and is one of the most in-demand cloud platforms, offering a wide range of services for businesses and developers. Enrolling in a Google Cloud training program provides hands-on experience with cloud technologies, enabling professionals to work on real-world applications. Cloud expertise is highly valued by top companies, as businesses increasingly migrate workloads to cloud environments for scalability and efficiency. Google Cloud certifications significantly enhance career prospects, demonstrating expertise in cloud computing, networking, security, and data analytics. The training also prepares professionals for roles in cloud architecture, DevOps, big data engineering, and cybersecurity. Additionally, Google Cloud courses teach cost optimization strategies, helping businesses reduce cloud expenses while maintaining high performance.
Techniques and Trends in Google Cloud Course in Online
- Hybrid and Multi-Cloud Deployments:Many enterprises now prefer hybrid cloud and multi-cloud architectures to avoid vendor lock-in and increase flexibility. Google Cloud’s Anthos enables businesses to run and manage workloads across multiple cloud
- AI and Machine Learning Integration:Google Cloud provides AI and ML services such as Vertex AI and AutoML that help businesses automate workflows, improve predictions, and gain deeper insights from data. Industries such as healthcare, finance, and retail.
- Serverless Computing:Traditional infrastructure management is becoming obsolete with serverless computing solutions like Cloud Run and App Engine. These services enable developers to deploy applications without worrying about provisioning, scaling, or managing servers.
- Identity and Access Management:Security remains a top priority in cloud environments. Google Cloud’s IAM (Identity and Access Management) ensures that organizations implement role-based access controls (RBAC) and follow the principle of least privilege.
- Disaster Recovery and High Availability:Google Cloud ensures business continuity through multi-region deployments, automated backups, and disaster recovery strategies. Tools like Google Cloud Backup and DR help prevent data loss in case of system failures or cyberattacks.
The Most Recent Google Cloud Training in Online with Tools
Google Cloud Certification in Online continuously evolves with new tools and services to enhance cloud computing capabilities. Google Cloud Certification Course is a leading tool for developing machine learning models, offering pre-trained APIs, AutoML, and AI-powered analytics. Anthos enables hybrid and multi-cloud environments, allowing businesses to run applications across on-premise and cloud infrastructures seamlessly. For data-driven businesses, BigQuery Omni expands the capabilities of BigQuery by analyzing multi-cloud data across AWS and Azure. Google Cloud Workflows simplifies automation by orchestrating complex tasks across cloud services. Vertex AI is a cutting-edge tool that streamlines end-to-end machine learning operations, from data preparation to model deployment. Confidential Computing enhances security by encrypting data even during processing.
Career Opportunities After Google Cloud Training
Google Cloud Engineer
A Google Cloud Engineer is responsible for designing, implementing, and maintaining cloud-based solutions on Google Cloud Platform (GCP). Their role includes managing virtual machines, databases, networking, and security settings to ensure cloud resources run efficiently.
Google Cloud Architect
A Google Cloud Architect focuses on designing and planning high-level cloud solutions for businesses. They analyze business needs and recommend the best cloud architecture using Google Compute Engine, Kubernetes (GKE), and BigQuery.
Google Cloud Security Engineer
A Cloud Security Engineer is responsible for securing cloud environments by implementing Identity and Access Management (IAM), firewalls, encryption, and compliance policies. They identify vulnerabilities, manage security audits, and ensure data protection on GCP.
Google Cloud DevOps Engineer
A Google Cloud DevOps Engineer automates cloud infrastructure deployment and optimizes the software development lifecycle. They use CI/CD pipelines, Kubernetes (GKE), Cloud Build, and Infrastructure as Code (IaC) to streamline deployment and improve system reliability.
Google Cloud Data Engineer
A Google Cloud Data Engineer specializes in designing and managing data pipelines, ETL processes, and big data analytics on GCP. They work with tools like BigQuery, Dataflow, and Pub/Sub to process and analyze large datasets.They work with tools like BigQuery, Dataflow, and Pub/Sub.
Google Cloud AI/ML Engineer
A Google Cloud AI/ML Engineer focuses on implementing machine learning (ML) and artificial intelligence (AI) models using Vertex AI, TensorFlow, and AI APIs on Google Cloud.They build and deploy ML models for various applications, including predictive analytics, natural language processing
Skill to Master
GCP Navigation
Cloud Infrastructure Management
Networking and Security
Containerization
Serverless Computing
Cloud Automation & DevOps
Big Data Processing
AI & Machine Learning Integration
Identity and Access Management
Cloud Cost Optimization
Disaster Recovery & High Availability
Real-World Cloud Project Implementation
Tools to Master
Google Cloud Console
Google Cloud SDK
Compute Engine
Kubernetes Engine
Cloud Storage
BigQuery
Cloud Functions
Cloud IAM
Cloud Logging & Cloud Monitoring
Cloud AI & Machine Learning APIs
Google Cloud Deployment Manager
Cloud SQL & Firestore
Learn from certified professionals who are currently working.
Training by
Suresh, having 7 years of experience
Specialized in: Google Cloud Architecture, Cloud Security, DevOps, and Serverless Computing.
Note: Suresh is known for his deep expertise in designing and implementing scalable cloud solutions using Google Cloud. He has trained professionals in cloud migration, security best practices, and automation techniques.
We are proud to have participated in more than 40,000 career transfers globally.
Google Go Certification
A Google Cloud Training certification validates your expertise in cloud computing, making you a competitive candidate in the IT industry.
There are no strict prerequisites for taking Google Cloud Training Course exams, but having prior knowledge of cloud fundamentals can be beneficial.
Yes, you can take many Google Cloud certification exams online. Google offers a remote proctoring option that allows you to take the exam from home or any quiet, private location. You’ll need a computer with a webcam, microphone, and a reliable internet connection.
Real-world experience is not a strict requirement for earning a Google Cloud certification, but it is highly beneficial.
Yes, Google Cloud Training Certification is worth both the time and investment, as it provides industry-relevant knowledge, hands-on experience, and expert-led training.
Frequently Asked Questions
- Yes, Free Demo Available – ACTE offers a free demo session to help prospective students understand the course structure and teaching methodology.
- The instructors are experienced Google Cloud professionals with extensive industry knowledge.
- They hold certifications in Google Cloud technologies and have years of hands-on experience in cloud computing, architecture, and DevOps.
- Yes, ACTE provides placement assistance to help students secure jobs in the cloud computing industry. The placement support includes resume-building guidance, interview preparation, and connections with hiring partners.
- Google Cloud Training Certification – Upon completion, students receive an industry-recognized certification from ACTE.
- Google Cloud Associate & Professional Certifications – The course also prepares students for official Google Cloud certification exams, such as Professional Cloud Architect and Cloud Engineer.
- Yes, Google Cloud Placement Training includes hands-on live projects to provide real-world experience. These projects help learners understand cloud deployment, security implementation, automation, and DevOps best practices.