Day 1: Introduction to GCP

- Course overview and objectives.
- Introduction to Google Cloud Platform.
- Creating a GCP account.
- Navigating the GCP Console.
- Lab: Setting up a GCP account and exploring the Console.

Day 2: Compute Engine Basics
- Understanding Compute Engine instances.
- Creating and managing virtual machines (VMs).
- Networking in Compute Engine.
- Lab: Creating and configuring a Compute Engine VM.

Day 3: Google Cloud Storage
- Overview of Google Cloud Storage.
- Creating and managing buckets.
- Uploading and managing objects.
- Lab: Storing and retrieving data in Google Cloud Storage.

Day 4: GCP Networking
- Introduction to VPCs (Virtual Private Clouds).
- Configuring firewall rules.
- Cloud Load Balancing and Network Services.
- Lab: Setting up VPC and firewall rules.

Day 5: Identity and Access Management (IAM)
- Understanding IAM roles and permissions.
- Creating and managing custom IAM roles.
- Managing service accounts.
- Lab: Managing access control using IAM.

Day 6: Monitoring and Logging
- Overview of GCP's monitoring and logging tools.
- Setting up alerts with Cloud Monitoring.
- Viewing logs with Cloud Logging.
- Lab: Configuring alerts and monitoring resources.

Day 7: Cloud Deployment Manager
- Introduction to Infrastructure as Code (IAC).
- Creating and deploying resources with the Deployment Manager.
- Templating and automation.
- Lab: Automating infrastructure deployment with Deployment Manager.

Day 8: Cloud Security
- Overview of GCP security features.
- Security best practices.
- Key Management Service (KMS) for data encryption.
- Lab: Implementing security best practices in GCP.

Day 9: Big Data and Machine Learning on GCP
- Overview of BigQuery for data analytics.
- Introduction to Cloud Machine Learning.
- Lab: Running SQL queries with BigQuery and exploring ML options.

Day 10: Final Projects and Q&A
- Job Market and interview based questions 
- Course wrap-up and resources for further learning.