Google Cloud Platform (GCP)
GCP offer a comprehensive learning experience designed to equip individuals with the skills needed to navigate and utilize GCP’s powerful cloud infrastructure.
Course Detail
In this hands-on GCP course, you’ll learn how to navigate the Google Cloud environment and utilize key GCP services like Compute Engine, Cloud Storage, Kubernetes Engine, BigQuery, and more. This course will provide you with the foundational knowledge needed to design, implement, and manage cloud-based applications and services using GCP’s cutting-edge tools.
Course Features
- Hands-On Learning
- Expert Instructors
- Comprehensive Curriculum
- Flexible Learning
- Cloud Architecture Design
- Data Management and Analytics
- Kubernetes & Containers
- Cloud Security and Networking
Unlock the full potential of cloud computing with our comprehensive Google Cloud Platform (GCP) course. Whether you’re new to cloud technology or looking to expand your knowledge of Google Cloud services, this course will equip you with the skills to manage and deploy scalable applications, utilize cloud storage, and leverage the power of GCP’s extensive tools and infrastructure.
- 6 weeks of course
- Recorded Sessions with 1 year access
- Access our classes on Web and Mobile
- Expert Instructors
- Interactive Learning Tools
Course Content
- Introduction to Cloud Computing
- Key concepts of cloud computing
- Overview of GCP services
- Google Compute Engine (GCE)
- Setting up virtual machines
- Managing VMs with the GCP console and CLI
- Google Cloud Storage (GCS)
- Storage classes, uploading, and managing objects
- Introduction to Networking in GCP
- Google Kubernetes Engine (GKE)
- Introduction to Kubernetes concepts and architecture
- Deploying Kubernetes Clusters in GKE
- Autopilot and standard clusters
- Introduction to Cloud Functions
- Serverless computing with GCP
- Cloud Monitoring and Logging
- Setting up alerts and dashboards
- BigQuery Basics
- Introduction to GCP’s data warehouse and SQL queries
- Introduction to App Engine
- Deploying and managing applications
- Introduction to Cloud Run
- Deploying containers in a serverless environment
- Introduction to Cloud Pub/Sub
- Asynchronous messaging and event-driven architecture
- Introduction to Cloud SQL
- Managing relational databases on GCP
- Introduction to Cloud Spanner
- Horizontally scalable relational databases
- Understanding Billing in GCP
- Monitoring costs and setting up budgets
- Exploring AI and ML in GCP
- Introduction to AI Platform
- Introduction to APIs and API Management in GCP
- Understanding GCP Marketplace and Third-Party Tools
- Case Study: Building a Scalable Application with GCP
- Deep Dive into IAM Policies
- Custom roles and conditional policies
- Advanced Networking: Load Balancing and CDN
- Introduction to Cloud Dataflow
- Stream and batch processing
- Introduction to Cloud Dataproc
- Hadoop and Spark on GCP
- Introduction to Terraform with GCP
- Infrastructure as Code
- Advanced Concepts in Kubernetes
- Auto-scaling, load balancing, and Helm charts
- Using Anthos for Hybrid Cloud Management
- Security Best Practices on GCP
- Final Project Work
- Build and present a scalable cloud solution using GCP
Payment & Refund Policy:
- Non-Refundable Fees: Once paid, course fees are strictly non-refundable under any circumstances.
- No Course Transfers: Enrollment in a specific course is final. No transfers or adjustments to another course will be allowed after payment.
- Strictly Personal Use: Course materials, including videos, notes, and resources, are for personal use only.
- No Unauthorized Sharing: Sharing, distributing, or reselling course content in any form is strictly prohibited.
- Legal Action: If we find that any course content, including videos, has been shared without authorization, legal action will be taken against the individual involved.