15 Sample GCP Projects Ideas for Beginners to Practice in 2024

Explore this list of solved end-to-end GCP projects for students and professionals to take a step forward in your big data career.

15 Sample GCP Projects Ideas for Beginners  to Practice in 2024
 |  BY ProjectPro

With 67 zones, 140 edge locations, over 90 services, and 940163 organizations using GCP across 200 countries - GCP is slowly garnering the attention of cloud users in the market. Flexera’s  State of Cloud report highlighted that 41% of the survey respondents showed the most interest in using Google Cloud Platform for their future cloud computing projects. Companies like Verizon, Yahoo, Facebook, SAP, LinkedIn, Newscorp, Marriott, Paypal are the big spenders on GCP products. 


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Google Cloud Platform is an online vendor of multiple cloud services which can be used publicly. The benefits it offers start from data management and manipulation to machine learning tools on the GCP platform. GCP offers 90 services that span computation, storage, databases, networking, operations, development, data analytics, machine learning, and artificial intelligence, to name a few. Google Cloud Services can be used across various steps in a data analytics project, from database management to extraction and building reports using Data Studio.

15 Sample GCP Real Time Projects for Practice in 2024

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With the need to learn Cloud Platform as part of any analytical job role, it is essential to understand the basics and then gain some hands-on experience leveraging the cloud platforms. If you need some assistance in discovering various GCP project ideas that leverage cloud architectures using various GCP services to work more efficiently and provide a strategic advantage. In that case, you’re on the right page. The sample GCP projects for practice have been categorized into Beginner, Intermediate, and Advanced Level Google Cloud Platform project ideas for all data and cloud service enthusiasts to help them master the best practices for leveraging GCP

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Beginner Level GCP Sample Projects Ideas

1. Web Chatbot Using Google Cloud Platform

Web Chatbots have taken over the world in all fields. Be it any industry, chatbots have become an essential part of enhancing the user experience of any service or product. The entire Business to Customer segment has been sorted by the involvement of Web Chatbots on the Cloud.

Web Chatbot Using Google Cloud Platform

Source : Cxtoday.com

The entire implementation of Web Chatbots using Google Cloud Platform is done with the help of a natural language processing technique called Dialogflow. This processing technique is hosted on Google Cloud and provides a smooth conversational user interface. Dialog Flow can analyze various types of inputs, like text and video, to name a few, to ensure that the communication is bidirectional,  and the response can be shared in multiple formats.

Following API is used to authorize

gcloud auth login

gcloud projects add-iam-policy-binding $PROJECT_ID

   --member="user:YOUR_USERID@YOUR_DOMAIN"

   --role="roles/datalabeling.editor"

gcloud projects add-iam-policy-binding $PROJECT_ID

   --member="serviceAccount:SERVICE_ACCOUNT_EMAIL"

   --role="roles/datalabeling.editor"

Dialogflow primarily uses two virtual agent services, namely Dialog CX and Dialog ES. Each of them has its API, agent type, libraries, and functionalities. Dialog CX is an enhanced version used to solve complex problems, whereas Dialog ES is primarily used to solve the issues of simple agents.

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2. Encryption Using Google Cloud Platform

In a world where everything is on the internet, data encryption has become important in all cloud services. So what is encryption of data? Encryption is a technique to ensure that data is protected and secured with a unique key or highly protected passwords that are only known to the user. This entire process helps to keep a user’s information private and avoid confidential information from getting leaked out. 

Encryption Using Google Cloud Platform

Source : Scalesec.com

Google Cloud Platform uses layers of encryption to protect data and stores it at REST. The encryption is not only limited to text but also includes synthetic data and videos. T. The entire data is split into chunks, and each chunk is managed using a highly protected encryption key. All these keys are used globally and distributed, and stored in Google’s central Key Management Service. Google uses AES256 as its storage level and also uses Tink technology as its cryptographic library. These small chunks are controlled, very focused and use FIPS 140-2 validated module, BoringCrypto.

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3. Shipping Management Using Google Cloud Platform

The shipping industry has also understood the advancement of cloud services and has adopted the Google Cloud Platform for digital advancement. This has also helped in increasing the operational efficiency of the shipping industry. 

Shipping Management Using Google Cloud Platform

Source : Images.squarespace-cdn.com

The shipping management industry needs to scale its ERP systems and map the SAP systems to Google Cloud Services. The industry uses Google workspace for its employee effectiveness. It also uses services like Google Big Query to generate actionable business insights and work in the right direction. With the implementation of Google Cloud, the entire management process will be smooth and automated at the same time.

4. Cab Booking System Using Google Cloud Platform

Companies like Uber and Ola have resolved the commute problem of all citizens of the world. This mechanism is quite complex and uses a lot of components from Google Cloud Platform and its services. 

Cab Booking System Using Google Cloud Platform

Source: Image.slidesharecdn.com

The Online Cab Booking System uses a lot of data stored in Big Query and then uses Google maps to understand the coordinates of the different cabs in a particular area. It primarily uses two functionalities. One is to create a preview using the App Actionsusestarttest tool, and the other is user invocation from Google Assistant. These two uses en-US, en-GB, en-CA, en-IN, en-BE, en-SG, en-AU, id-ID locales for implementation

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5. Traffic Management using Google Cloud Platform

 Traffic is a huge concern all over the globe. The congestion, long queues have always been a problem for the traffic police to solve. So to fix this problem, one can use smart traffic management, which uses Google’s infrastructure to store data and adhere to quick response time.

Traffic Management using Google Cloud Platform

Source : Storage.googleapis.com

This GCP project involves collecting different and real-time traffic data. This data is then analyzed and mined using business intelligence tools. On top of this dataset, a prediction model is built. Technologies like SQL are used on GCP. This is then integrated into routing vehicles which helps in more competent traffic management.

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Intermediate Level GCP Sample Project Ideas

6. Data Mining Applications using Google Cloud Platform

Data Mining Applications have become highly essential to solve different real-world problems. Google Cloud Platform offers a wide range of products that can be used to understand their analytics capabilities. It has services like Big Query, Cloud Data Fusion, Cloud Dataflow, Cloud BigTable, and Cloud Dataprep, to name a few.

Data Mining Applications using Google Cloud Platform

Source : Cloud.google.com

Cloud DataFlow is used when a streamlined batch pipeline is a requirement. It can then be deployed in the GCP AI Platform for better usage. Cloud DataPrep is a data preparation tool that is serverless. All these services help in a better user interface, and with Google Big Query, one can also upload and manage custom data sets.

7. Mobile App Backend using Google Cloud Platform

Building mobile apps is one of the most looked-after skills in the world of technology. The primary use cases to build a mobile app are send notifications, should be able to manage when offline, and should be able to integrate data across various devices. 

Mobile App Backend using Google Cloud Platform

Source : 1.bp.blogspot.com

 Firebase platform is used for real-time handling of various problems. It also improves the automatic synchronization of data elements. The Firebase needs to work in line with the Google App Engine for scalability. Also, Cloud Endpoints are used, which help speed up the development, making smoother API calls for mobile app development.

8. Data Lake using Google Cloud Platform

What is a Data Lake? Data Lake is a centralized area or repository for data storage. Here, data is stored, processed, and managed in its original format and can also be synthesized based on needs. Here, data can be structured, semi-structured, and unstructured as well. Data Lake is everything that a data warehouse can do, but it also has many additional capabilities.

Data Lake using Google Cloud Platform

Source : Storage.googleapis

Data Lake is highly used in Financial services where the data is highly confidential. It uses groundbreaking computing systems that are scalable and real-time at the same time. Data Lake uses various Google Cloud services to manage real-time risks and ensure that it is easily accessible. It also uses Data Fusion and Composer tools to create an advanced Data Lake architecture. The major GCP components required in this architecture are data integration, data storage, and data orchestration.

9. Video Processing using Google Cloud Platform

The use case here is to solve video processing and understanding using Google Cloud Services. There are a lot of videos on the internet, and simplifying them is a huge challenge that many industries are trying to tackle. The significant challenges in implementing this architecture are that it should be scalable with the evolution, it should be fast, and there should be no lag in its performance.

Video Processing using Google Cloud Platform

Source : Storage.googleapis

You can use GCP services like Cloud Video Intelligence and Cloud Vision APIs to overcome these challenges. Several storage services like Cloud Spanner and Cloud Datastore are used with different functions and APIs to solve the processing problem. GCP provides an intelligent and scalable platform that uses pre-trained Machine Learning platforms as its architecture.

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It also uses Cloud Pub/Sub to receive notifications when data is uploaded in the Cloud Storage Bucket. To increase the effectiveness of the back-end architecture the upload functionality is isolated from the processing functionality.

10. Continuous Integration and Continuous Deployment using Google Cloud Platform

CI and CD  pipelines bridge the gap between the development activities and deployment activities by automating development, testing, and other related activities.

Continuous Integration and Continuous Deployment using Google Cloud Platform

Source : Cloud.google

How Google Cloud Platform or GCP can make this process a lot simpler is the next question? First of all, GCP enhances the efficiency and productivity of the process. It uses parallel builds and spends less time debugging through its connection to Google’s high-performance global network.  Tools like Maven and Bazel can help you achieve flexibility. Tools like Spinnaker can automate and speed up the entire CI/CD process on Google Cloud. You can also use administrative tools like Jenkins, Gitlab, Packer, and Terraform to ensure the process runs smoothly and the security is up to the level expected.

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Advance Level GCP Sample Project Ideas

11. Networking using Google Cloud Platform

Networking in Google Cloud Services can be achieved through a Virtual Private Cloud Network. This is done by using a network which is called Andromeda. Tsolvinghis helps different VPNs connect, and then the traffic is distributed.

Networking using Google Cloud Platform

Source : kinsta

There are three types of networks offered by Google Cloud Platform. The three are default network, auto network, and custom network. To create a network in GCP following steps need to be performed:-

  • Click on create VPC network from networks page in the cloud console

  • Then one needs to give a name to the network and then configure the network type

  • For Subnet creation, one needs to choose the automatic network type

  • Then select predefined firewalls to connect to Virtual Machines

The best way to learn about networking is to know how all network components work the access points, IP addresses, routers, firewalls, clients, servers, and switches primarily. 

To use firewall rules, the following API needs to be called

POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/global/firewalls

{

  "name": "FIREWALL_NAME",

  "network": "projects/PROJECT-ID/global/networks/NETWORK_NAME",

  ... other fields

}

12. Remote Controlled Systems using Google Cloud Platform

Remote Controlled Systems have become a necessity in all homes across the globe. With the advancement of the Internet of Things, such systems are widely available now. These systems are ingenious and can predict the time to time maintenance activities of any system.

Remote Controlled Systems using Google Cloud Platform

Source : Storage.googleapis

It uses AutoML Vision and Vision API models to understand and process the activities. It makes it intelligent enough to give real-time insights. The same algorithms are used to build smart cities and buildings. Th Google Cloud services like IOT core and Vertex AI are used in such smart devices. This also helps in real-time asset tracking and also checks downtime risks. 

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13. Healthcare Systems using Google Cloud Platform

The Healthcare industry generates a lot of data and needs super-advanced analytics to solve real-world problems at a rapid pace. Google Cloud Platform uses Healthcare Data Engine, which uses Google Bigquery power to store and process vast chunks of data

Healthcare Systems using Google Cloud Platform

Source : Globaltechoutlook.b-cdn.

The power and the API calls scale up the entire healthcare platform and manage different systems and their complex needs. It also uses several layers to ensure that all data is entirely confidential. Healthcare Data Engine uses  90% of HL7v2 messages to FHIR across leading EHRs out of the box. This, in turn, enables services that come at lower costs and are also of high quality.

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14. Data Integrity Management using Google Cloud Platform

Maintaining Data Integrity is one of the most common problems that various industries across the globe are facing. You need shielded VM instances that can monitor data integrity and minimize risks and any system failures in the future.

Data Integrity Management using Google Cloud Platform

Cloud Monitoring is used to validate the integrity of the system, and Cloud Logging is used to review the details and procedures of each event. There are mainly two kinds of validation Early Boot Validation and Late Boot Validation. Early Boot Validation shows the pass/fail status at an early stage of the process, and late boot validation shows pass/fail status at a late stage of the process. One can also update the integrity policy from time to time based on needs. One should use setShieldedInstanceIntegrityPolicy permission to be able to update the integrity policy baseline.

Update the VM instance's integrity policy baseline by using the updateAutoLearnPolicy request body item with the setShieldedInstanceIntegrityPolicy method.

The following example resets the integrity policy baseline for a VM instance.

PATCH https://compute.googleapis.com/compute/alpha/projects/my-project/zones/us-central1-b/instances/my-instance/setShieldedInstanceIntegrityPolicy?key={YOUR_API_KEY}

{

  "updateAutoLearnPolicy": true

}

The system of purchasing books online has become a trend in the world of the internet. This can be done on the Google Cloud Platform and can be maintained with all the data security. 

Online Book Store System using Google Cloud Platform

Source : Secureservercdn

SQL is one of the languages used for this project. Here all notification systems are also built to ensure the users are updated from time to time on their bookings. All the details are stored in the database called Google Bigquery and can be easily available on their websites. This problem statement is a part of GCP projects for students.

The above GCP sample project ideas can be a great start to your career in mastering GCP.  There is no better time than this to improve your GCP skills by working on real-world projects. Learn how ProjectPro’s solved end-to-end big data projects can help you bridge the gap between theory and hands-on experience working with GCP. Leverage ProjectPro’s GCP projects that come with reusable code, datasets, guided videos, and industry expert guidance to enhance your portfolio. 

 

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