GCP Serverless Computing Training
Introduction to Serverless Computing
Learn the fundamentals of serverless computing and how it applies to Google Cloud Platform (GCP). Understand key concepts, benefits, and use cases of serverless architectures.
Google Cloud Functions
Explore Google Cloud Functions, a serverless compute service that lets you run code in response to events. Learn how to deploy, manage, and scale functions, and integrate them with other GCP services.
Google Cloud Run
Discover Google Cloud Run, which allows you to run containerized applications in a fully managed environment. Learn how to deploy, manage, and scale containers without managing the underlying infrastructure.
Google App Engine
Study Google App Engine, a fully managed platform for building and deploying applications. Learn about its services, deployment models, and how to build scalable applications with minimal configuration.
Managing Serverless APIs with Cloud Endpoints
Learn how to manage and secure APIs using Cloud Endpoints. Explore API management features, including authentication, authorization, and monitoring for serverless APIs.
Integrating Serverless Solutions
Understand how to integrate serverless computing with other GCP services, such as Cloud Storage, Pub/Sub, and BigQuery. Learn how to build event-driven architectures and workflows.
Cost Management and Optimization
Discover strategies for managing and optimizing costs in serverless computing. Learn how to monitor usage, manage budgets, and optimize performance to reduce expenses.
Security Best Practices
Study best practices for securing serverless applications. Learn about identity and access management, encryption, and other security considerations specific to serverless environments.
Monitoring and Debugging
Learn how to monitor and debug serverless applications. Explore tools and techniques for logging, tracing, and troubleshooting issues in serverless environments.
Serverless Design Patterns
Explore common design patterns and best practices for building serverless applications. Learn how to design scalable, resilient, and efficient serverless solutions.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your knowledge of serverless computing. Work on real-world scenarios to develop practical skills in deploying and managing serverless solutions on GCP.
GCP Serverless Computing Syllabus
Introduction to Serverless Computing
- Overview of serverless architecture
- Benefits of serverless computing
- Comparison with traditional computing models
Google Cloud Functions
- Introduction to Cloud Functions
- Use cases and best practices
- Writing and deploying functions
- Triggering functions with events
Google Cloud Run
- Overview of Cloud Run
- Deploying containerized applications
- Managing traffic and scaling
- Integrating with other GCP services
Google App Engine
- Introduction to App Engine
- Standard vs. Flexible environments
- Deploying applications
- Scaling and monitoring
Event-Driven Architectures
- Event sources in GCP
- Pub/Sub for messaging
- Event-driven workflows with Cloud Functions and Cloud Run
Data Processing
- Serverless data processing with Dataflow
- Integrating with BigQuery and Cloud Storage
- Streaming and batch processing
Serverless APIs
- Building APIs with Cloud Functions and Cloud Run
- API Gateway integration
- Authentication and security
Advanced Cloud Functions
- Writing complex functions
- Optimizing performance and cold starts
- Error handling and retries
- Integrating with third-party APIs
Deep Dive into Cloud Run
- Advanced configurations and settings
- Handling high concurrency and traffic
- Custom domains and SSL certificates
- Continuous deployment with Cloud Build
App Engine Advanced Features
- Custom runtimes
- Traffic splitting and versioning
- Task queues and cron jobs
- Managing application state and scaling
Event-Driven Architectures
- Advanced Pub/Sub patterns
- Integrating with Cloud Tasks and Cloud Scheduler
- Orchestrating workflows with Workflows API
- Best practices for event-driven design
Data Processing at Scale
- Complex data pipelines with Dataflow
- Stream processing and windowing
- BigQuery and Cloud Storage optimizations
- Data cleansing and transformation
Serverless Machine Learning
- Using AI and ML APIs in serverless applications
- Building serverless ML pipelines with AI Platform
Security and Compliance
- Advanced IAM configurations
- VPC Service Controls for serverless applications
- Secrets management with Secret Manager
- Compliance considerations and best practices
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details