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6 students
Google Cloud Platform For Placements with 3 Major Projects
Become Job-Ready with Hands-on GCP Projects: Learn Cloud Infrastructure, Machine Learning, and Data Engineering Skills
Last updated 1/2025
English
What you'll learn
- Navigate and Utilize Google Cloud Platform (GCP): Gain hands-on experience with key GCP services such as Compute Engine, Cloud Storage, BigQuery, and Google Kub
- Deploy and Manage Cloud Applications: Deploy web applications on Google Cloud Compute Engine and Google Kubernetes Engine (GKE) with scalable architecture and s
- Implement Secure Cloud Solutions: Set up Identity and Access Management (IAM) roles, configure Virtual Private Cloud (VPC), and apply Cloud Armor for enhanced s
- Design and Build Real-Time Data Pipelines: Use Google Cloud tools like Pub/Sub, Dataflow, and BigQuery to process and analyze real-time data for business intell
- Work with Machine Learning Tools on GCP: Understand and implement machine learning models on GCP using Vertex AI, TensorFlow, and AutoML for data-driven solutio
- Leverage GCP for Continuous Integration and Continuous Delivery (CI/CD): Set up automated pipelines using Google Cloud Build, automate deployments, and manage v
- Optimize Cloud Infrastructure for Performance and Cost: Implement best practices for scaling cloud applications and optimizing resources on GCP, ensuring both h
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Course content
10 sections • 14 lectures • 1h 36m total length
Requirements
- Basic Understanding of Cloud Computing: While no advanced knowledge is required, having a basic understanding of cloud computing concepts such as virtual machines, storage, and networking will be helpful.
- Familiarity with Basic Programming Concepts: Some familiarity with programming (preferably Python) will be beneficial, especially when working with GCP’s services and APIs. However, beginners can still follow along with the provided examples and exercises.
- Basic Command-Line Skills: Familiarity with the command line or terminal will be useful, especially when working with GCP Cloud Shell or configuring services via the command line. If you're new to this, we will cover the basics as part of the course.
- Google Cloud Platform (GCP) Account: A Google Cloud account is required to follow along with the hands-on labs. GCP provides free credits for new users, so you can get started without incurring costs initially.
- No Prior GCP Experience Needed: This course is designed to be beginner-friendly, so you don’t need any previous experience with Google Cloud Platform or other cloud providers.
- Willingness to Learn: A motivated mindset and willingness to learn and experiment with new technologies are key to getting the most out of this course.
Description
Welcome to Google Cloud Platform for Placements, a comprehensive, project-driven course designed to equip you with the essential skills and hands-on experience needed to succeed in today’s cloud computing job market. Whether you're a beginner or looking to expand your existing cloud knowledge, this course will provide you with a practical understanding of Google Cloud Platform (GCP) through real-world projects and challenges.
What Will You Learn:
Google Cloud Basics: Understand the core services of GCP, including Compute Engine, Cloud Storage, BigQuery, and Kubernetes Engine.
Cloud Networking & Security: Set up secure cloud environments with VPCs, IAM, Cloud Armor, and more.
Data Engineering: Learn how to use BigQuery, Cloud Pub/Sub, and Dataflow for efficient data processing and analysis.
Machine Learning on GCP: Dive into Google’s AI and ML tools, including Vertex AI, TensorFlow, and AutoML.
Deployment and Automation: Master CI/CD pipelines using Cloud Build, monitoring with Stackdriver, and managing resources with automation tools.
Three Major Projects:
Web Application Deployment: Deploy and manage a web app on Google Compute Engine and integrate it with Cloud SQL for data management.
Secure and Scalable App with GKE: Implement a secure, scalable web app using Google Kubernetes Engine with IAM roles, load balancing, and autoscaling.
Real-Time Data Pipeline & ML: Build a real-time data pipeline using Pub/Sub and Dataflow, analyze the data with BigQuery, and deploy an ML model on AI Platform.
Why Take This Course:
Job-Ready Skills: The course is designed with real-world scenarios to help you gain experience that employers are looking for in cloud professionals.
Hands-on Projects: Apply what you learn in three major projects that you can showcase on your resume or portfolio.
Practical Cloud Knowledge: Gain in-depth knowledge of Google Cloud services used by top companies around the world.
Placement Focus: This course is tailored to help you build the cloud infrastructure, machine learning, and data engineering skills that are highly demanded in the job market.
Who This Course is For:
Aspiring cloud engineers, developers, and data scientists
Students and professionals looking to transition into the cloud computing industry
Anyone interested in gaining hands-on experience with Google Cloud Platform
Prerequisites:
No prior cloud experience is required. However, familiarity with basic programming concepts (preferably Python) will be beneficial.
By the end of this course, you'll have the skills and confidence to deploy and manage applications on GCP, work with cutting-edge cloud data tools, and understand cloud architecture, setting you up for success in your cloud career.
Who this course is for:
- Aspiring Cloud Engineers and Developers: Individuals looking to start a career in cloud computing and gain hands-on experience with Google Cloud Platform (GCP) to build, deploy, and manage cloud applications and infrastructure.
- Students and Recent Graduates: Computer science, engineering, or IT students who want to enhance their knowledge and gain practical experience with cloud technologies to stand out in the job market.
- Developers and Software Engineers: Professionals who already have programming experience and want to expand their skills by learning how to build, deploy, and maintain cloud-based applications on GCP.
- IT Professionals Transitioning to Cloud: IT professionals with a background in infrastructure, networking, or system administration looking to pivot into cloud computing and gain expertise in GCP services and architectures.
- Anyone Interested in Google Cloud: Whether you're new to cloud computing or looking to upgrade your cloud skills, this course provides a comprehensive introduction to Google Cloud Platform, including core services, security, machine learning, and more.