Training schedule
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Become a Cloud Network Engineer on GCP. Implement VPCs, hybrid connectivity, network services, and security for established network architectures for successful cloud implementations. This course is part of Google’s Network Engineering track that leads to the Professional Cloud Network Engineer certificate.
This training is for you if…
you have:
- 3+ years of industry experience including 1+ years designing and managing solutions using GCP.
This training is not for you if…
you have:
- No experience in GCP
- No experience in Cloud industry
Clients we've helped
What you'll learn
- Configure Google VPC networks, subnets, and routers
- Control administrative access to VPC objects
- Control network access to endpoints in VPCs
- Interconnect networks among GCP projects
- Interconnect networks among GCP VPC networks and on-premises or other-cloud networks
- Choose among GCP load balancer and proxy options and configure them
- Use Cloud CDN to reduce latency and save money
- Optimize network spend using Network Tiers
- Configure Cloud NAT or Private Google Access to provide instances without public IP addresses access to other services
- Deploy networks declaratively using Cloud Deployment Manager or Terraform
- Design networks to meet common customer requirements
- Configure monitoring and logging to troubleshoot networks problems
The schedule
Google Cloud VPC Networking Fundamentals
- Recall that networks belong to projects
- Explain the differences among default, auto, and custom networks
- Create networks and subnets
- Explain how IPv4 addresses are assigned to Compute Engine instances
- Publish domain names using Cloud DNS
- Create Compute Engine instances with IP aliases
- Create Compute Engine instances with multiple virtual network interfaces
Controlling Access to VPC Networks
- Outline how IAM policies affect VPC networks
- Control access to network resources using service accounts
- Control access to Compute Engine instances with tag-based firewall rules
Sharing Networks across Projects
- Outline the overall workflow for configuring shared VPC
- Differentiate between the IAM roles that allow network resources to be managed
- Configure peering between unrelated VPC networks
- Recall when to use shared VPC and when to use VPC peering
Load Balancing
- Recall the various load balancing services
- Configure Layer 7 HTTP(S) load balancing
- Whitelist and blacklist IP traffic with Cloud Armor
- Cache content with Cloud CDN
- Configure internal load balancing
- Determine which GCP load balancer to use when
Hybrid Connectivity
- Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
- Explain Dedicated Interconnect and Partner Interconnect
- Describe the workflow for configuring a Dedicated Interconnect
- Build a connection over a VPN with Cloud Router
- Determine which GCP interconnect service to use when
- Explain Direct Peering and Partner Peering
- Determine which GCP peering service to use when
Networking Pricing and Billing
- Recognize how networking features are charged for
- Use Network Service Tiers to optimize spend
- Determine which Network Service Tier to use when
- Recall that labels can be used to understand networking spend
Network Design and Deployment
- Explain common network design patterns
- Automate the deployment of networks using Deployment Manager
- Launch networking solutions using Cloud Marketplace
Network Monitoring and Troubleshooting
- Configure uptime checks, alerting policies and Service Charts
- Use VPC Flow Logs to log and analyze network traffic behavior
You will explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; Cloud NAT. We will also cover common network design patterns and automated deployment using Deployment Manager or Terraform.
Get In Touch!
Contact Max Driessen now if you want to learn more and take your cloud skills to the next level!
Niels Van Doorn
Cloud ConsultantNiels is a Cloud Consultant experienced in Google Cloud with previous experience as a Software Developer. His main goal is to empower individuals and businesses by letting the cloud “do the heavy lifting” and keeping IT solutions simple. He is also an official authorized GCP Instructor.
Structured, to-the-point, good combination of theory and practical examples, very knowledgeable trainer who can explain concepts very well
It was a hands-on and tangible course. We could apply what we learned in a matter of minutes. The trainer did a great job of answering ad-hoc questions that complemented the material. We appreciated the fact that we could apply what we were taught directly to our company.
I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.
Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.
