Cloud Computing with Google Cloud (Professional Lvl 60 )
This rigorous training program spans 60 credit hours,
delivered across 20 sessions of 3 hours each. The program is designed for individuals who have significant experience with Google Cloud Platform (GCP) and are seeking to elevate their skills to a
professional level. We will emphasize advanced concepts, best practices, and hands-on
implementation of complex solutions.
- Upon completion of this training program, participants will be able to:
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Design Complex Cloud Solutions: Architect, design, and implement complex and scalable cloud solutions using a wide range of GCP services.
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Manage Scalable Compute Infrastructure: Effectively manage, scale,
and optimize compute resources including Kubernetes Engine (GKE), Compute Engine, and serverless options. -
Implement Advanced Storage and Data Management: Utilize and manage a diverse range of storage options and implement effective data management strategies.
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Configure Advanced Networking Scenarios: Design and implement complex Virtual Private Cloud (VPC) architectures including hybrid connectivity and security measures.
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Work with Specialized Databases and Data Analytics: Deploy, manage, and optimize specialized databases, and conduct advanced data analytics using BigQuery.
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Manage DevOps Processes: Implement CI/CD pipelines, automation, and Infrastructure as Code (IaC) within the GCP environment.
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Implement Robust Cloud Security: Design, implement, and manage advanced security measures, including IAM, encryption, and vulnerability management.
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Optimize Cloud Resources: Implement cost optimization and resource management strategies to maximize efficiency.
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Prepare for Google Cloud Professional Certification: Lay a solid foundation for pursuing relevant Google Cloud certifications at the Professional level.
60 hr
The program is structured into 20 sessions, each lasting 3 hours, focusing on a deep dive into professional-level topics. The following outline highlights the key areas covered:
Part 1: Advanced Compute and Networking
Session 1: Review and Advanced GCP
Architecture:- Review of core concepts and architecture at
- the professional level.
Session 2: Deep Dive into GKE (Kubernetes
Engine):- Advanced GKE deployments
- Cluster management, and scaling.
Session 3: Serverless Computing & Cloud
Functions:- Advanced serverless architecture
- Using Cloud Functions, Cloud Run, and App Engine
Session 4: Advanced Network Architectures:
- Custom VPC configurations, shared VPC,
- Hybrid connectivity options.
Session 5: Network Load Balancing and
Security:- Layer 4 and Layer 7 load balancing
- NetworkSecurity best practices.
Part 2: Data Services and Analytics
Session 6: Advanced Cloud Storage Options:- Lifecycle management.
- Storage Optimization, and Security.
Session 7: Advanced Database Options (Cloud
Spanner, Datastore, Bigtable):- Optimized database deployments
- Disaster recovery strategies.
Session 8: Advanced DataWarehousing with
BigQuery:
- Schema design, data modeling, performance optimization, BigQuery ML.
Session 9: Data Analytics and Visualization:
- Using Dataflow, Dataproc, and Data Studio for end-to-end analytics.
Session 10: Data Governance and Compliance
in GCP:- Data classification, auditing, and compliance best practices.
Part 3: DevOps and Automation
Session 11: CI/CD Pipelines with Cloud Build:- Implementing automated CI/CD workflows.
Session 12: Infrastructure as Code (IaC) with
Terraform/Deployment Manager:- Managing infrastructure using code and automation.
Session 13: Monitoring, Logging, and Alerting:
- Advanced techniques for observability and incident management.
Session 14: Cost Optimization and Resource
Management:- Cost analysis, budgeting, and resource optimization strategies.
Session 15: Security Operations and Compliance:
- Advanced security techniques and compliance management.
Part 4: Project Implementation and Review
Session 16-19: Hands-on Project Implementation (4 Sessions):
- Designing and implementing a complex project using multiple GCP services.
Session 20: Project Review, Troubleshooting, and Certification Guidance:
- Final project presentation, review of key concepts, Q&A, and guidance for GCP Professional level certifications.
- Each session includes hands-on labs and exercises using the Google Cloud Console and related services to solidify understanding. This includes:
- Guided Labs: Step-by-step instructions for setting up andmanaging GCP resources.
- Practical Scenarios: Real-world simulated scenarios to apply concepts learned.
- Individual Project: A small project to integrate learned concepts into a complete scenario.
Our instructors are certified Google Cloud professionals with extensive
industry experience. They are adept at delivering interactive, engaging
training sessions that cater to diverse learning needs.- Total Credit Hours: 60
- Session Length: 3 hours per session
- Number of Sessions: 20
- Delivery Method: Remotely