Module 1: Introduction to Cloud Computing and Google Cloud Platform (GCP)
- Overview of cloud computing concepts
- Introduction to GCP and its key features
Module 2: Compute Engine
- Virtual machines (VMs) on GCP
- Creating and managing VM instances
- Networking and storage options
Module 3: App Engine
- Introduction to serverless computing
- Deploying and scaling applications on App Engine
- Managing application versions and services
Module 4: Kubernetes and Google Kubernetes Engine (GKE)
- Containerization and orchestration concepts
- Deploying and managing containers on GKE
- Scaling and load balancing applications
Module 5: Cloud Storage
- Object storage fundamentals
- Storing and accessing data in Cloud Storage
- Managing buckets and objects
Module 6: BigQuery
- Introduction to data warehousing and analytics
- Querying and analyzing large datasets with BigQuery
- Data ingestion and export options
Module 7: Serverless Computing
- Overview of Cloud Functions
- Event-driven computing with Cloud Pub/Sub
- Building and deploying serverless applications
Module 8: Security and Access Control
- Securing resources on GCP
- Identity and access management (IAM) policies
- Implementing security best practices
Module 9: Monitoring and Troubleshooting
- Stackdriver for monitoring and logging
- Debugging and error reporting
- Performance optimization techniques
Module 10: Advanced Topics
- Data processing with Dataflow
- Machine learning with Cloud ML Engine
- Network infrastructure and VPC networking
Module 11: Hands-on Labs and Projects
- Practical exercises and projects to apply learned concepts
- Real-world scenarios and use cases