Google Cloud Tech Stack Training

• Learn to deploy, manage, and scale virtual machines using Compute Engine.
• Develop skills in containerization and orchestration with Google Kubernetes Engine (GKE).
• Understand how to store and retrieve data using Cloud Storage.
• Learn to analyze large datasets and perform data warehousing using BigQuery.
• Gain insights into serverless computing and deployment using Google App Engine.
• Explore advanced topics such as Cloud Functions and Cloud Pub/Sub.
• Learn about security practices and access control mechanisms in Google Cloud.
• Understand how to monitor and troubleshoot applications using Stack driver.

• Recorded Videos After Training
• Digital Learning Material
• Course Completion Certificate
• 24x7 After Training Support

• IT Professionals
• Solution Architects
• Database Administrators
• Data Engineers
• Technical Managers

• Basic understanding of cloud computing concepts

• Multisoft Systems provides a globally recognized training certificate after successful completion of Google Cloud Tech Stack Course.

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