4 Specialized Tracks. 6 Sessions Each.
Choose the track that matches your role. Every track includes hands-on labs with real vendor platforms and AI workflows you'll use every week.
Networking Track
AI for Network Design & Troubleshooting
Who It's For:
Network engineers designing or troubleshooting enterprise/campus/datacenter networks. Solutions architects scoping network infrastructure. Pre-sales engineers who need to generate configs, BOMs, and designs quickly.
Session Breakdown:
Session 1: Your AI Co-pilot (Foundations)
• What AI actually is (10-min mental model, no hype)
• Choosing the right tool: ChatGPT vs Claude vs Copilot vs local models
• The anatomy of a good prompt for infrastructure work
Lab: Take a real networking task. Do it with AI. Compare results.
Session 2: Network Whisperer (Config Generation & Review)
• Generating baseline configs (Cisco, Arista, Palo Alto)
• AI-assisted design validation (edge cases, best practices)
• Using AI to compare vendor options (Cisco vs Arista vs Juniper)
Lab: Generate a campus network config from discovery notes. Validate with AI.
Session 3: Troubleshooting with AI
• Log analysis and pattern recognition
• AI for CLI output interpretation (show commands, syslog, SNMP traps)
• Root cause analysis workflows
Lab: Debug a broken network using AI-assisted log analysis
Session 4: Documentation & Knowledge Transfer
• Turning configs into readable documentation
• Generating network diagrams from CLI output
• AI for vendor documentation translation (Cisco to Arista, etc.)
Lab: Document an existing network using AI to extract topology and config intent
Session 5: Advanced Workflows
• Prompt patterns for networking (chain-of-thought, few-shot examples)
• Building reusable templates (campus, datacenter, branch)
• API integration (calling AI from scripts)
Lab: Build a config template generator for your most common deployments
Session 6: Integration & Strategy
• When NOT to use AI (trust boundaries, validation requirements)
• Building your personal AI toolkit
• AI strategy for your team/practice
Capstone: Present an AI-assisted network design from a real project
What You Walk Away With:
- ✓ Config generation workflows for Cisco, Arista, Palo Alto, Juniper
- ✓ Validation patterns (how to check AI-generated configs)
- ✓ Reusable templates for campus, datacenter, branch, SD-WAN
- ✓ Troubleshooting playbooks (AI log analysis, RCA)
Vendor Platforms: Cisco (IOS, IOS-XE, NX-OS) · Arista EOS · Palo Alto · Juniper JunOS · Meraki
Security Track
AI for Security Architecture & Policy Review
Who It's For:
Security engineers writing policies, reviewing firewall rules, designing security architecture. Network security architects scoping zero-trust, segmentation, or compliance projects. Solutions architects generating security deliverables.
Session Breakdown:
Session 1: Your AI Co-pilot (Foundations)
Same foundational AI skills as Networking Track
Session 2: Security Policy Generation & Review
Lab: Review a Palo Alto firewall ruleset with AI. Identify misconfigurations.
Session 3: Threat Modeling with AI
Lab: Build a threat model for a cloud migration project using AI assistance
Session 4: Compliance Mapping
Lab: Map a security architecture to NIST CSF using AI
Session 5: Security Documentation
Lab: Generate a security policy document (acceptable use, remote access, etc.)
Session 6: Integration & Strategy
Capstone: Present an AI-assisted security deliverable (policy, threat model, compliance map)
What You Walk Away With:
- ✓ Firewall policy workflows (generation, review, validation)
- ✓ Threat modeling templates (AI-assisted, human-verified)
- ✓ Compliance mapping patterns (NIST, CIS, ISO, PCI)
- ✓ Security documentation workflows (policies, procedures, playbooks)
Vendor Platforms: Palo Alto VM-Series · Cisco Firepower/ASA · Fortinet FortiGate · Check Point
Collaboration Track
AI for Teams/Webex/Zoom Deployment & Optimization
Who It's For:
Collaboration engineers deploying or managing Microsoft Teams, Cisco Webex, Zoom. Unified communications architects scoping UC projects. Solutions architects at VARs who sell Cisco, Microsoft, or Zoom collaboration solutions.
Session Breakdown:
Session 1: Your AI Co-pilot (Foundations)
Session 2: UC Design & Scoping
Lab: Scope a Teams deployment for 500-user enterprise using AI
Session 3: Configuration & Deployment
Lab: Generate a Teams deployment checklist and policy set
Session 4: Troubleshooting & Optimization
Lab: Analyze call quality data from Teams CQD using AI
Session 5: Adoption & Change Management
Lab: Generate an end-user Teams training guide using AI
Session 6: Integration & Strategy
Capstone: Present an AI-assisted UC deliverable
What You Walk Away With:
- ✓ UC design workflows (scoping, BOM generation, capacity planning)
- ✓ Configuration templates (Teams policies, Webex org settings)
- ✓ Troubleshooting playbooks (call quality analysis, RCA)
- ✓ Documentation templates (deployment plans, user training)
Vendor Platforms: Microsoft Teams · Cisco Webex · Zoom · SIP/PSTN Integration
Compute/Storage Track
AI for Virtualization, Storage Design & Capacity Planning
Who It's For:
Datacenter engineers managing VMware, Hyper-V, Nutanix, storage arrays. Infrastructure architects scoping compute/storage for customers. Solutions architects at VARs selling Dell, HPE, Nutanix, Pure Storage, NetApp.
Session Breakdown:
Session 1: Your AI Co-pilot (Foundations)
Session 2: Compute Design & Sizing
Lab: Size a VMware cluster for 200-VM workload using AI
Session 3: Storage Architecture
Lab: Design a storage solution for a SQL Server workload
Session 4: Migrations & Consolidation
Lab: Analyze a VMware environment. Generate consolidation recommendations.
Session 5: Documentation & Automation
Lab: Document a VMware cluster using AI to interpret configs
Session 6: Integration & Strategy
Capstone: Present an AI-assisted infrastructure deliverable
What You Walk Away With:
- ✓ Sizing workflows (VM capacity, storage IOPS, cluster design)
- ✓ Storage design patterns (SAN/NAS/HCI for different workloads)
- ✓ Migration playbooks (P2V, V2V, consolidation, cloud migration)
- ✓ Documentation templates (as-built docs, runbooks, deployment plans)
Vendor Platforms: VMware vSphere/vSAN · Nutanix HCI · Microsoft Hyper-V · Dell EMC · NetApp · Pure Storage
Ready to Choose Your Track?
First cohort starts April 2026. Limited to 20 engineers.
GTC Early Bird: $1,125 (25% off) — First 10 signups only