Syllabus for Google Cloud Platform

Beginner Level

Module 1: Introduction to Cloud Computing

1. What is cloud computing?

2. Cloud deployment models (public, private, hybrid)

3. Benefits of cloud computing

4. Cloud service models (IaaS, PaaS, SaaS)

Module 2: Introduction to Google Cloud Platform

1. Creating a GCP account

2. Navigating the GCP console

3. Understanding GCP regions and zones

4. Managing projects and resources

Module 3: Compute Engine

1. Creating and managing virtual machines (VMs)

2. Using machine types and boot disks

3. Networking with VPCs and subnets

4. Scaling VMs automatically

Module 4: Storage

1. Cloud Storage buckets and objects

2. File Storage for file shares

3. Persistent disks for VMs

Intermediate Level Module 5: Networking

1. VPC peering

2. Load balancing

3. Firewalls and security groups

4. DNS and routing

Module 6: Big Data and Analytics

1. BigQuery for data warehousing

2. Dataflow for data pipelines

3. Cloud Data Fusion for data integration

4. Machine learning with Vertex AI

Module 7: Containerization and Kubernetes

1. Introduction to containers and Docker

2. Kubernetes clusters on GCP

3. Deploying and managing applications on Kubernetes

Advanced Level

Module 8: Serverless Computing

1. Cloud Functions for event-driven functions

2. App Engine for web applications

3. Cloud Run for containerized applications

Module 9: Data Engineering

1. Data ingestion and transformation

2. Data warehousing and analytics

3. Data lakes and data warehouses

Module 10: Cloud Security

1. Identity and access management (IAM)

2. Encryption and key management

3. Vulnerability scanning and patching

4. Disaster recovery and business continuity

This syllabus for Google Cloud Platform provides a general outline. The specific content and depth of each module may vary depending on the learning objectives and the expertise of the learners.

#Syllabus for Google Cloud Platform