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Google Cloud Online Training

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100% Job Guarantee | Minimum CTC: ₹ 5.6 LPA

We offer a comprehensive course to prepare for Google Cloud Platform certification. These courses cover cloud architecture, data analytics, machine learning, and security. This training provides hands-on labs and practical exercises.

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  • 40+ Hrs Hands On Learning
  • 3+ Live Best Industry Projects
  • 25+ Practical Assignments
  • 24/7 Student Helpdesk

Online Classroom Batches Preferred

15- Apr- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

10- Apr- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

13- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

13- Apr- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

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₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Google Cloud Training Overview And Highlights

Google Cloud certification validates expertise in cloud technologies, offering diverse paths like cloud engineer, data engineer, and architect. These certifications demonstrate proficiency in Google Cloud Platform (GCP) services, infrastructure, and development, which are crucial for cloud architecture, administration, and data management roles. Whether aspiring to specialize in cloud engineering, data analytics, or infrastructure management, Google Cloud certifications provide a clear pathway to career advancement and professional growth in the dynamic cloud computing industry.

Additional Info

Exploring Future Trends In Google Cloud Training

  • AI and Machine Learning Integration: Expect Google Cloud to deepen its integration of AI and machine learning capabilities across its services. This trend will enable businesses to leverage advanced analytics, natural language processing, and predictive modeling to derive valuable insights from their data.
  • Blockchain Integration: Blockchain technology could be integrated into Tally for secure and transparent transactions, especially useful in scenarios involving multiple parties. This could enhance the integrity of financial data and streamline auditing processes.
  • Hybrid and Multi-Cloud Solutions: As organizations seek flexibility and scalability, Google Cloud will likely focus on providing robust hybrid and multi-cloud solutions. This approach allows businesses to seamlessly manage workloads across on-premises infrastructure and multiple cloud environments, enhancing agility and resource optimization.
  • Edge Computing Expansion: With the proliferation of Internet of Things (IoT) devices and the need for real-time data processing, Google Cloud will likely expand its edge computing capabilities. This trend involves pushing compute resources closer to the data source, enabling faster decision-making and reducing latency for critical applications.
  • Kubernetes Orchestration: Kubernetes has become the de facto standard for container orchestration, and Google Cloud's Kubernetes Engine (GKE) is at the forefront of this technology. Expect Google Cloud to further enhance its Kubernetes offerings, providing advanced features for container management, automation, and scalability.
  • Data Analytics and Big Data Solutions: Google Cloud will continue to innovate in the realm of data analytics and big data solutions. This includes expanding its portfolio of managed services for data warehousing, data lakes, and real-time analytics, empowering businesses to derive actionable insights from their data at scale.
  • Security and Compliance Enhancements: As cybersecurity threats evolve, Google Cloud will prioritize enhancing its security and compliance capabilities. This trend involves investing in advanced threat detection, encryption technologies, identity and access management, and regulatory compliance frameworks to ensure the protection of sensitive data.
  • Sustainability and Green Computing: With a growing emphasis on sustainability and environmental responsibility, expect Google Cloud to focus on green computing initiatives. This includes optimizing data center operations for energy efficiency, reducing carbon emissions, and promoting renewable energy sources to power its infrastructure.

Google Cloud Tools and Technologies Online Program

  • Google Cloud Platform (GCP): Google Cloud Platform is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube.
  • Compute Engine: Compute Engine is a part of GCP that offers virtual machines (VMs) for running workloads on Google's infrastructure. It allows users to create and manage VM instances on Google's infrastructure.
  • Google Kubernetes Engine (GKE): GKE is a managed Kubernetes service offered by Google Cloud. It allows users to deploy, organize, and scale containerized applications using Kubernetes, an open-source container orchestration platform.
  • BigQuery: BigQuery is a fully managed, serverless data warehouse provided by Google Cloud. It is designed to analyze large datasets using SQL queries and enables users to run fast, interactive queries against data stored in Google Cloud Storage.
  • Cloud Storage: Google Cloud Storage is a scalable object storage service that allows users to store and access data in the cloud. It provides a durable and highly available storage solution for various use cases, including backup and recovery, analytics, and content distribution.
  • Cloud Functions: Cloud Functions is a serverless computing service that allows users to run event-driven code in response to events triggered by cloud services and APIs. It enables developers to build lightweight, scalable applications without managing the underlying infrastructure.
  • Cloud Pub/Sub: Cloud Pub/Sub is a fully managed messaging service provided by Google Cloud. It allows users to send and receive messages between independent applications and services in real-time, making it ideal for building event-driven architectures and streaming data pipelines.
  • Cloud IAM (Identity and Access Management): Cloud IAM is a unified access management system controlling access to resources in Google Cloud. It enables users to manage permissions and roles to ensure that only authorized individuals and services can access sensitive data and resources.
  • Deployment Manager: Deployment Manager is an infrastructure automation service provided by Google Cloud. It allows users to define and manage cloud resources using templates, enabling repeatable and consistent infrastructure deployments as code.

Roles And Responsibilities Within The Google Cloud Ecosystem

  • Cloud Architect: Responsible for designing and implementing cloud-based solutions on the Google Cloud Platform (GCP). They develop architecture blueprints, provide technical guidance, and ensure solutions meet business requirements while leveraging GCP services effectively.
  • Cloud Engineer:This position engages in implementing, maintaining, and optimizing cloud infrastructure and services on GCP. They work closely with architects to deploy and manage applications, automate processes, and troubleshoot issues to ensure reliability and scalability.
  • DevOps Engineer: This position integrates development and operations teams to streamline the software development lifecycle (SDLC) on GCP. DevOps engineers automate deployment pipelines, monitor application performance, and facilitate continuous integration and delivery (CI/CD) practices to accelerate development cycles.
  • Security Engineer: This position focuses on safeguarding cloud environments and data hosted on GCP against cyber threats and compliance risks. They implement security controls, configure identity and access management (IAM) policies, conduct security assessments, and respond to incidents to maintain a secure infrastructure.
  • Data Engineer: This position specializes in managing and analyzing data on GCP, including data ingestion, transformation, storage, and visualization. They design data pipelines, optimize databases, and develop machine learning models to derive insights and drive business decision-making.
  • Site Reliability Engineer (SRE): SREs ensure the reliability, availability, and performance of applications and services running on GCP. They use automation, monitoring, and incident response practices to minimize downtime, improve system resilience, and enhance the overall user experience.
  • Network Engineer: Designs and manages network infrastructure on GCP to ensure optimal connectivity, security, and performance. They configure virtual private clouds (VPCs), subnets, firewalls, and load balancers and implement networking solutions such as VPNs and interconnects to enable seamless communication between resources.
  • Database Administrator (DBA): This person manages databases hosted on GCP, including provisioning, configuration, tuning, and backup/recovery operations. DBAs ensure data integrity, optimize query performance and enforce compliance with data storage and management regulatory requirements.
  • Compliance Specialist: This position ensures that GCP deployments adhere to relevant regulatory standards and industry best practices. The specialist assesses compliance requirements, implements controls and audit mechanisms, and provides guidance to teams on data protection, privacy, and governance principles.
  • Technical Support Engineer: This position provides technical assistance and troubleshooting expertise to GCP customers facing issues with their cloud deployments. The engineer diagnoses and resolves problems, escalates complex issues to engineering teams, and collaborates with customers to optimize their use of GCP services.

Companies Seeking Google Cloud Professionals

  • Spotify: Spotify, the popular music streaming service, relies on GCP for its scalability and reliability. With millions of users accessing their platform simultaneously, GCP's robust infrastructure helps Spotify manage the high demand efficiently.
  • HSBC: As a global banking and financial services organization, HSBC requires secure and compliant cloud solutions. GCP offers a wide array of security features and compliance certifications, making it a preferred choice for organizations like HSBC that deal with sensitive financial data.
  • Airbnb: Airbnb, a leading online marketplace for lodging and tourism experiences, leverages GCP's data analytics and machine learning capabilities to enhance user experiences, personalize recommendations, and optimize pricing strategies.
  • Target: Target Corporation, one of the largest retail chains in the United States, utilizes GCP for its cloud infrastructure needs. GCP's scalability and flexibility enable Target to handle seasonal spikes in traffic, manage inventory efficiently, and deliver personalized shopping experiences to customers.
  • Twitter: a popular social media platform, Twitter uses GCP to support real-time data processing and analytics requirements. GCP's BigQuery and Dataflow services enable Twitter to analyze vast amounts of real-time data generated by user interactions, trends, and advertising campaigns.
  • Snap Inc.: Snap Inc., Snapchat's parent company, depends on GCP to deliver its messaging and multimedia services to millions of users worldwide. GCP's global network infrastructure and low-latency data centres ensure seamless user experiences and high availability for Snap's services.
  • Nestlé: Nestlé, the world's largest food and beverage company, employs GCP for various purposes, including supply chain optimization, customer analytics, and product innovation. GCP's machine learning tools enable Nestlé to analyze consumer preferences, forecast demand, and develop new products more effectively.
  • Vodafone: Vodafone, a multinational telecommunications company, partners with GCP to modernize its infrastructure, enhance network performance, and deliver innovative digital services to customers. GCP's global footprint and high-speed connectivity enable Vodafone to offer reliable, high-performance services across different regions.
  • UPS: UPS (United Parcel Service), a global logistics and package delivery company, utilizes GCP to optimize its supply chain operations, improve route planning, and enhance customer service. GCP's data analytics and machine learning capabilities help UPS analyze shipping data, predict delivery times accurately, and optimize resource allocation for maximum efficiency.
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Top Skills You Will Gain
  • Google Cloud Services
  • Infrastructure as Code
  • Networking
  • Security and Compliance
  • DevOps Practices
  • Data Analytics
  • Machine Learning

Google Cloud Certification Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Google Cloud Certification Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

In our Google Cloud course, we streamline the talent acquisition process for companies, ensuring they enlist skilled professionals proficient in implementing and optimizing Google Cloud solutions. Graduates can anticipate competitive compensation packages, with our placement assistance offering opportunities for significant salary growth.
  • Designation
  • Annual Salary
    Hiring Companies
  • 5.3L
    Min
  • 6.9L
    Average
  • 13.7L
    Max
  • 4.54L
    Min
  • 8.5L
    Average
  • 16.9L
    Max
  • 4.4L
    Min
  • 6.9L
    Average
  • 16.3L
    Max
  • 5.2L
    Min
  • 6.6L
    Average
  • 15.3L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Exclusive one-on-one sessions for personalized skill development.
  • Latest version curriculum is provided by industrial professionals.
  • Get industry-recognized certification with placement assistance.
  • Lifetime Access to Study Materials, Videos & Top MNC Interview Question.
  • Work on multiple Industry-specific projects to enhance your portfolio.

Online Training

₹21000₹ 16000

  • preferred
  • Schedule your sessions at your preferred timings for maximum convenience.
  • Lifetime access to high-quality self-learning and live online class recordings.
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available.
  • Design your own course content based on your project requirements.
  • Comprehensive certification guidance for your career advancement.
  • Get 100% Job-oriented Training With Dedicated Placement Support.
  • Receive 24x7 assistance and support to maximize your learning experience.

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Google Cloud Course Curriculum

Trainers Profile

In our Google Cloud course, our trainers are certified experts with substantial industry experience, currently working for top multinational corporations. At Learnovita, our trainers are dedicated to providing learners with the latest insights and industry best practices in Google Cloud, ensuring their preparedness to excel in the competitive job market.

Syllabus of Google Cloud Online Course Download syllabus

  • Overview of Cloud Computing
  • Introduction to GCP
  • GCP Products and Services
  • Advantages of GCP
  • Getting Started with GCP Console
  • Setting Up GCP Projects
  • Understanding GCP Pricing and Billing
  • Introduction to Compute Engine
  • Creating and Managing Virtual Machines
  • Autoscaling and Load Balancing
  • Introduction to Kubernetes Engine (GKE)
  • Deploying Containerized Applications on GKE
  • Introduction to App Engine
  • Deploying Applications on App Engine
  • Introduction to Big Data on GCP
  • BigQuery: Serverless Data Warehousing
  • Dataflow: Stream and Batch Processing
  • Dataproc: Managed Spark and Hadoop
  • Machine Learning on GCP: Overview
  • AI Platform: Managed ML Services
  • TensorFlow on GCP
  • Introduction to DevOps on GCP
  • Infrastructure as Code with Deployment Manager
  • Continuous Integration and Delivery with Cloud Build
  • Monitoring and Logging with Stackdriver
  • Error Reporting and Debugging Tools
  • Managing Secrets with Cloud Secret Manager
  • Building CI/CD Pipelines with Cloud Functions
  • Introduction to Serverless Computing
  • Cloud Functions: Event-Driven Serverless Functions
  • Event Management for Serverless Applications
  • Firestore Triggers and Functions
  • Comparative Financial Analysis
  • Building Scalable APIs with API Gateway and Cloud Functions
  • Data Visualization with Data Studio
  • Building Data Pipelines with Dataflow SQL
  • Analyzing Streaming Data with Dataflow
  • Integrating Looker with GCP Services
  • Introduction to IoT Core
  • Device Registry and Device Management
  • Cloud IoT Edge: Extending GCP to Edge Devices
  • Analyzing IoT Data with Pub/Sub and Dataflow
  • IoT Security Best Practices
  • Accelerating ML Inference at the Edge
  • Case Studies in IoT and Edge Computing
  • Introduction to AI and ML on GCP
  • Building Custom ML Models with AutoML
  • Natural Language Processing with Cloud NLP
  • Computer Vision with Cloud Vision API
  • ML Pipelines on GCP
  • Speech Recognition with Cloud Speech-to-Text
  • Overview of Cloud Migration Strategies
  • Assessing Workloads for Migration
  • Lift and Shift with GCP Migrate for Compute Engine
  • Application Modernization with Anthos
  • GCP Migration Tools and Services
  • Case Studies in Cloud Migration to GCP
  • Quantum Computing on GCP
  • Blockchain Services in GCP
  • Edge Computing and 5G Integration
  • AI Ethics and Responsible AI Practices
  • GCP Community and Support Resources
  • Emerging Technologies and Trends in GCP
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Industry Projects

Project 1
Supply Chain Optimization

Leveraging Google Cloud for real-time tracking and predictive analytics to enhance supply chain efficiency.

Project 2
Healthcare Data Management

Utilizing Google Cloud for secure medical data storage and analysis to improve patient care and research.

Project 3
Financial Fraud Detection

Implementing Google Cloud AI tools for detecting and preventing fraudulent activities in banking and finance.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Google Cloud Training Objectives

  • Kubernetes Engine
  • BigQuery Sandbox
  • Cloud Playground
  • Qwiklabs
  • Cloud Storage
  • Data Studio
  • Growing Demand
  • Diverse Job Opportunities
  • Industry Adoption
  • Certification Programs
  • Continuous Innovation
  • Hybrid and Multi-Cloud Environments
Undertaking Google Cloud training equips you with crucial skills to effectively manage cloud infrastructure and services, utilizing the Google Cloud Platform (GCP). This opens avenues for career advancement in the cloud computing and technology domains, showcasing your proficiency in leveraging Google's cloud solutions and enhancing your professional opportunities.
Yes, typically, there are prerequisites for Google Cloud training. It is advantageous to have a foundational understanding of cloud computing concepts and familiarity with basic networking principles. This ensures that participants can readily comprehend the topics covered in the training and efficiently navigate the Google Cloud Platform interface.
  • Cloud SQL
  • BigQuery
  • Dataflow
  • Cloud Pub/Sub
  • Kubernetes Engine (GKE)
  • Cloud Storage
Google Cloud training holds significant importance in today's job market as businesses increasingly adopt cloud technologies for their computing needs. Professionals skilled in Google Cloud are in high demand for roles such as cloud engineers, solutions architects, data analysts, and DevOps specialists, offering diverse career prospects and competitive salaries in the rapidly growing cloud computing industry.
Google Cloud training enables you to develop a wide range of skills, including: Creating and managing cloud resources efficiently Implementing scalable and resilient architectures on Google Cloud Analyzing data and extracting insights using cloud-based tools Deploying and managing applications using modern DevOps practices Ensuring security and compliance in cloud environments Optimizing costs and performance for cloud-based solutions.
  • Documentation
  • Qwiklabs
  • Google Cloud OnAir
  • Community Forums
  • Google Cloud Blog
Yes, participants in Google Cloud training often have the opportunity to work on real-world projects. These projects simulate practical cloud computing scenarios, allowing participants to apply their skills in authentic environments. Hands-on experience with Google Cloud services enhances learning outcomes and prepares participants for real-world challenges in cloud-related job roles.
Industries such as technology and software development Finance and banking Healthcare and life sciences Retail and e-commerce Media and entertainment Government and public sector
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Exam & Certification

Google Cloud certifications demonstrate your commitment to continuous learning and mastery of cutting-edge cloud technologies, making you a desirable candidate for high-paying job roles and promotions within your organization.
Google Cloud certifications provide individuals with the skills and knowledge needed to tackle complex cloud computing challenges, enabling them to innovate, solve problems, and drive digital transformation initiatives effectively.
Google Cloud certifications offer access to exclusive resources, networking opportunities, and continuous learning pathways, fostering personal development and career advancement in the rapidly evolving field of cloud computing.
  • Validate your expertise
  • Proficiency in utilizing Google Cloud technologies
  • Enhancing your credibility in the industry
  • Increasing your career opportunities
  • Associate Cloud Engineer
  • Professional Cloud Architect
  • Professional Data Engineer
  • Professional Cloud Developer
  • Professional Cloud Network Engineer
  • Professional Collaboration Engineer

Recently placed students

Google Cloud Course FAQ's

Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
  • LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
  • Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
  • Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree, and MPhasis, among others.
  • LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
  • We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
  • Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. The National Institute of Education (NIE) in Singapore and LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and PSI exam centers, as well as an authorized partner of AWS. Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Google Cloud.
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Google Cloud Course at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Google Cloud batch to 5 or 6 members.
The average annual salary for Google Cloud Professionals in India is 6 LPA to 10 LPA.
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