AIOps for Telecom Operations Corporate Training
Instructor-led corporate training that builds AIOps skills for telecom operations teams.
Learn to collect telemetry at scale, detect anomalies with machine learning, and close the loop with safe automated remediation across RAN, core, and transport networks.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a self-healing network operations team
The Edstellar AIOPS Capability Model
Diagnose
Assess telemetry coverage, incident patterns, and operations maturity to target the highest-cost network problems first.
Standardize
Establish common data models, alerting baselines, and runbook formats across RAN, core, and transport estates.
Practice
Build detection models and closed-loop automation in guided labs using realistic telecom operations data.
Measure
Track MTTR, alarm noise reduction, and automation coverage to prove the program impact on operations.
Scale
Extend proven use cases across regions and vendors with governance that keeps automation safe and auditable.
Need more than one program?Get a group quote
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Program Overview: What is AIOps for Telecom Operations?
AIOps for Telecom Operations is a 24-hour instructor-led program for network operations, engineering, and NOC teams. Across six modules, participants cover AIOps foundations, telemetry collection and data pipelines, anomaly detection and event correlation, closed-loop automation, and capacity planning and performance optimization. It suits teams managing RAN, core, and transport networks who need fewer alarms and faster incident response.
Training is hands-on, built around labs on realistic network data. Each module pairs instructor-led concept sessions with labs where participants build telemetry pipelines, train anomaly detection models, correlate alarms, and design closed-loop remediation runbooks. Instructors coach every lab, giving feedback on data quality, model design, and safe automation guardrails. The program closes with a five-hour capstone where participants scope, build, validate, and present an end-to-end AIOps use case.
Telecom operations teams drown in alarm noise, slow root-cause analysis, and manual remediation that stretches MTTR. This program teaches engineers to cut through the noise with machine learning for fault detection, event correlation, and policy-based closed-loop actions. The payoff is fewer false alarms, faster incident resolution, and a shift from firefighting to proactive network management.
Engineers scope, build, validate, and present one working AIOps use case with a rollout plan. Alarm noise drops, root cause gets faster, and the NOC gets its nights back.
Across six modules your team moves from AIOps foundations to telemetry pipelines, anomaly detection, closed-loop automation, and capacity planning, finishing with a capstone that integrates everything into one working use case for a live network. Every concept is practiced in guided labs on realistic telecom operations data, so learners return ready to cut alarm noise, shorten incident response, and plan capacity with confidence.
What's Included in this Workshop for Your Enterprise Teams
- 1
AIOps foundations
Concepts, telemetry sources, and the telecom use-case landscape.
- 2
Telemetry pipelines
Collect, normalize, and stream multi-vendor network data.
- 3
Detection and correlation
Anomaly models that turn alarm noise into incidents.
- 4
Closed-loop automation
Runbooks that remediate safely with guardrails.
- 5
Capstone build
An end-to-end AIOps use case your team presents.
- Instructor-led sessions for your cohort
- Guided hands-on labs with telecom datasets
- Lab guides and runbook templates
- Pre-program readiness checklist
- Post-program action plan
- Q&A and troubleshooting support
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
AIOps for Telecom Operations Course Topics and Program Outline
Six modules take your team from AIOps foundations to telemetry pipelines, detection, closed-loop automation, and capacity planning, closing with a capstone use case built for a live network.
Built by Edstellar with telecom operations practitioners
Built by engineers who run AIOps programs in production networks, shaped around your stack and use cases.
We review your operations maturity, telemetry coverage, and priority incidents to shape the program around your costliest outages.
Your team learns AIOps concepts, telemetry design, and detection methods through instructor demos on telecom operations scenarios.
Learners build data pipelines, detection models, and closed-loop runbooks in guided labs using realistic network operations data.
Teams integrate pipelines, models, and automation into a capstone use case and plan a safe rollout for their own network.
A hands-on program where your team builds working AIOps pipelines, detection models, and closed-loop automation for telecom networks.
Delivered as
Delivered as instructor-led sessions for your cohort, with labs sequenced across the program so every concept is practiced the week it is taught.
Explore a sample network telemetry dataset and map its sources to operations workflows.
learna)AIOps concepts and the network operations lifecycle
b)Telemetry sources: RAN, core, transport, and IT estates
c)Observability maturity and data readiness assessment
d)Telecom use-case landscape and value mapping
Build a telemetry pipeline that ingests cell-site counters and raises clean, queryable events.
practicea)Collecting metrics, logs, and traces at telecom scale
b)Normalizing and enriching multi-vendor data
c)Streaming pipelines and time-series storage
d)Data quality checks and governance basics
Train an anomaly detector on RAN KPI data and correlate the resulting alarms into incidents.
practicea)Baselines, thresholds, and dynamic alerting
b)Machine learning models for fault and degradation detection
c)Alarm correlation and noise suppression
d)Root-cause hypotheses from correlated events
Author a closed-loop runbook that remediates a congested cell and verifies recovery.
practicea)Runbook design for network incidents
b)Policy-based closed-loop actions
c)Change control and safe automation guardrails
d)Measuring MTTR and automation coverage
Produce a capacity forecast and an optimization plan for a metro cluster.
applya)Traffic forecasting for RAN and transport
b)Capacity models and growth scenarios
c)Performance tuning playbooks
d)Reporting for operations and planning teams
Design, build, and present a complete AIOps use case that detects and remediates a network degradation.
applya)Use-case scoping and success metrics
b)Pipeline, model, and automation integration
c)Validation, rollout, and handover plan
d)Executive readout and next steps
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Practical capabilities your team takes back to the network: detecting faults earlier, cutting alarm noise, and automating remediation safely.
Design telemetry pipelines
Collect and normalize metrics, logs, and traces from RAN, core, and transport systems at scale.
Detect network anomalies
Apply machine learning to spot faults and degradations before customers feel them.
Correlate alarms into incidents
Cut alarm noise by grouping related events into single actionable incidents.
Automate remediation safely
Build closed-loop runbooks with guardrails that protect live network services.
Forecast capacity needs
Model traffic growth and plan RAN and transport capacity with confidence.
Tune network performance
Use data-driven playbooks to resolve congestion and improve service quality.
Scope AIOps use cases
Define success metrics and rollout plans for AIOps initiatives in your operations.
Teams that Benefit from this AIOps for Telecom Operations Group Training
Built for telecom teams that keep networks running: operations, RAN, core, and assurance engineers, plus the managers who own incident and capacity outcomes. Content adapts to each cohort's role and experience, so every team practices the workflows it owns.
Keep services stable with fewer, smarter alarms
For NOC and operations teams drowning in alarms, this program builds detection and correlation skills that turn noise into action.
Workflow friction
- Too many unactionable alarms
- Slow manual triage workflows
- Repeat incidents with no learning
How the program helps
- Cut alarm noise with correlated incidents
- Detect degradations before outages
- Speed up triage with ranked causes
Practice use cases
- alarm correlation labs
- MTTR reduction drills
- incident triage practice
Turn cell-site data into proactive optimization
For RAN engineers, the program connects radio KPIs to detection models and closed-loop actions that protect service quality.
Workflow friction
- Reactive firefighting culture
- Siloed radio performance data
- Manual parameter tuning
How the program helps
- Spot cell degradation early
- Automate congestion responses
- Link KPIs to customer impact
Practice use cases
- cell degradation detection
- congestion remediation labs
- KPI forecasting exercises
Protect backbone capacity and service paths
For core and transport teams, the program builds forecasting and anomaly skills that keep backbone services healthy.
Workflow friction
- Capacity surprises at peak
- Fragmented transport telemetry
- Long fault isolation times
How the program helps
- Forecast backbone capacity needs
- Detect transport faults faster
- Plan growth with data
Practice use cases
- capacity forecast labs
- fault detection drills
- growth scenario planning
Prove service quality with measurable outcomes
For assurance teams, the program ties AIOps outputs to the service metrics leadership actually watches.
Workflow friction
- Hard-to-prove program value
- Inconsistent service metrics
- Automation without governance
How the program helps
- Report MTTR improvements
- Link automation to SLAs
- Track coverage across domains
Practice use cases
- SLA impact modeling
- coverage tracking labs
- governance design sessions
Each cohort follows the same core program; examples and lab data reflect the functions your people work in.
Prerequisites: This program benefits operations and engineering staff who work with network performance data or incident workflows. Familiarity with basic networking concepts helps, but no prior AI or machine learning experience is needed. Each cohort's examples and lab data are adapted to the tools and vendors your teams use.
Network engineer to AIOps practitioner
Learners progress from AIOps concepts and telemetry basics to building detection models, closed-loop automation, and full use cases for production networks.
One program that grows with operations careers, from telemetry basics to confident AIOps practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your operations schedule: live virtual sessions, onsite delivery at your offices, or a hybrid of both.
Hybrid Training
Split the program between live virtual sessions and onsite days, keeping labs and instructor access consistent across both.
- Mix virtual and onsite days freely
- Same labs in every session
- One instructor for the cohort
- Fits shift and on-call schedules
Onsite Training
Run the full program at your offices, with labs tailored to your network environment and your team's daily workflows.
- Delivered at your location
- Labs use your network context
- Team collaboration in person
- Minimal travel for learners
Live Virtual Training
Join live instructor-led sessions from anywhere, with the same guided labs, breakout work, and Q&A as onsite delivery.
- Live instructor interaction
- Full hands-on lab access
- Works across time zones
- Recordings for review
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Learn from industry experts.
Every session is led by a practitioner who has run monitoring for models in production, not a generalist working from slides.
Subramanya
ITIL 4 Trainer in Bengaluru
15+ years of Experience
Shahzaib
Telecom Product and Sales Trainer in Bhopal
8+ years of Experience
Anirudha
Consultative Selling Trainer in Greater Noida
7+ years of Experience
Ashok
PMI Project Management Ready Trainer in FAZILKA
12+ years of Experience
Chandan
Telecom Marketing Trainer in Bengaluru
15+ years of Experience
Trainers are matched to your stack and delivery window at scheduling. We confirm your assigned trainer, with a full profile, before the program is booked.
Frequently Asked Questions
Share your team size and preferred dates through the group quote form and a training advisor will respond with pricing and options.
Yes. A short discovery call helps us map your network operations priorities to the program before you commit.
Yes. The program runs as live virtual instructor-led sessions with the same labs and interaction as onsite delivery.
Yes. Onsite delivery is available for your cohort, with labs run in your environment or ours.
The program is 24 hours of instructor-led training, typically delivered across several days to fit operations schedules.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
AIOps works only when NOC processes and service assurance data already exist. Your team runs the NOC, sets up assurance and observability, then applies AIOps in this course to automate detection and response, and finally moves to intent-based automation of the network itself.
Why Choose Edstellar as Your Corporate AIOps for Telecom Operations Training Provider
Edstellar designs this program around your network, your vendors, and your operations priorities, so every lab maps to work your teams do.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every cohort is scoped to your network estate, vendors, and incident priorities, so labs mirror the operations your teams run.
Proven Methodology
A Diagnose-to-Scale arc moves teams from telemetry assessment to measured automation outcomes in one program.
Practice-Based Learning
Guided labs with realistic telecom data build detection, correlation, and remediation skills through doing, not slides.
Expert Trainers
Instructors are practitioners who have run AIOps programs in production networks and speak your operations language.
Global Scale
Cohorts run across regions and time zones with consistent content, labs, and quality for distributed operations teams.
Measurable Outcomes
MTTR, alarm reduction, and automation coverage give leadership clear evidence of the program impact.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AIOps for Telecom Operations Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AIOps for Telecom Operations Training for Your Team
Tell us about your team and operations priorities, and a training advisor will design the right cohort plan for you.