Career Multiplier Intermediate 6 Weeks • 40+ Hours • 1-on-1 Live
AI for Network Engineers (AIOps)
AI is eating network operations — engineers who combine CCNP-level skills with AI get paid like architects. Learn AIOps, AI-assisted troubleshooting, anomaly detection on network data, and LLM-powered automation for configs and tickets.
Industry-Expert Trainer 4.9/5 Student Rating Placement Assistance 24x7 Hands-on Labs
Training Highlights
- 1-on-1 live training with Aviraj Sharma (Cisco Systems (Ex-TAC), Ex-Juniper Networks)
- 40+ Hours of live instructor-led sessions — flexible timing, your pace
- Live class recordings with timestamped notes — revise anytime
- 24x7 dedicated lab pod — 8+ guided hands-on labs
- Trainer-written PDF notes, workbooks & cheat sheets
- Mock interviews, resume building & placement assistance
- Course completion certificate with unique ID
- Free demo session before you pay anything
Course Content
what AIOps is, tools (Splunk ITSI, Cisco AI Analytics, Moogsoft), use cases
What You Will Learn — Topic by Topic
- AIOps vs traditional monitoring
- Event correlation & noise reduction with ML
- Anomaly detection on interface & flow data
- Time-series baselining for network metrics
- LLM prompts for syslog & trap analysis
- AI-assisted root-cause analysis workflow
- Config generation with validation guardrails
- AI + Ansible — safe automation patterns
- ChatOps — LLM bots for NOC teams
- Ticket summarization & escalation drafting
- Predictive capacity planning models
- Vendor AI features — Cisco, Juniper Mist, Arista
- RAG over your own network documentation
- Evaluating AI answers before pushing config
- Security & change-control for AI automation
- Building an AI-assisted runbook library
Hands-on Labs You Will Perform
LAB 01
Anomaly detection on live NetFlow dataset
LAB 02
LLM syslog triage — 50 alerts to 5 incidents
LAB 03
AI-generated OSPF config + validation pipeline
LAB 04
ChatOps bot answering network queries
LAB 05
Predictive alert — interface failure forecast
LAB 06
AI-drafted TAC escalation from raw logs
LAB 07
RAG chatbot over network runbooks
LAB 08
Capstone — AI-assisted NOC simulation
Prerequisites
- CCNA/CCNP-level networking
- Basic Python helpful (we cover what's needed)
- NOC/TAC exposure is a plus
Who Can Do This Course
- Network engineers & NOC/TAC staff
- Network automation engineers
- Anyone targeting AIOps roles
Career Opportunities & Salary
India: ₹12 – 22 LPA Global: $110K – $150K
AIOps Engineer
Network Automation Engineer (AI)
Senior NOC/TAC Engineer
Frequently Asked Questions
Still have doubts about AI for Network Engineers (AIOps)?
Talk to a counsellor or book a free 1-on-1 demo with Aviraj Sharma — no commitment.