AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Telecom AI — GenAI, Network Intelligence & Agentic Operations
TELECOM KNOWLEDGE + AI CAPABILITY · LIVE ONLINE
Apply Generative AI, network intelligence, RAG, predictive methods and supervised agents across NOC, service-assurance, customer and telecom operations.
Understand the telecom problem → use AI to analyse or recommend → verify the result → make an operational decision. Follow a conversational, low-code main track with optional Python, Colab and ML labs.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Telecom knowledge + AI capability. Learn how Machine Learning, Generative AI, RAG, copilots and supervised agents support modern network operations, OSS/BSS, service assurance, customer operations, fraud and revenue work—without turning the programme into a coding-heavy Data Science course.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Telecom AI SpecialistAI-enabled NOC EngineerNetwork Intelligence AnalystTelecom Data/AI AnalystAI Service Assurance SpecialistTelecom Automation SpecialistOSS/BSS AI ProfessionalTelecom GenAI SpecialistNetwork Operations AI Consultant
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You work in telecom networks, NOC, RF/RAN, OSS/BSS, service assurance, customer operations or telecom management
You want Telecom AI capability without becoming a Data Scientist first
You want to combine GenAI, classical ML, RAG and supervised agents in operational cases
YOUR LEARNING ARC
From guided foundation to finished work.
Understand
Frame the telecom problem, evidence and operating limits.
Assist
Use AI, analytics and grounded knowledge to analyse and recommend.
Verify
Check the evidence, model output and operational risk.
Decide
Make or approve an operational action and confirm the result.
INDUSTRY TASKS
Practise the work, not only the tool.
- Interpret KPIs, alarms, logs and network-performance data
- Build a telecom assistant grounded in SOPs and runbooks
- Connect customer or service impact to network evidence
- Design an approval-gated agentic NOC workflow
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
TRAIN A PROFESSIONAL TEAM
Run this programme around your tools and operating controls.
Private weekday, weekend and fast-track formats are available for organisations.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Analyse network KPIs and service health with AI
A checked KPI report and customer-impact assessment.
02
Correlate alarms and anticipate network problems
An explainable alarm system and AI-assisted predictive workflow.
03
Build grounded telecom knowledge assistance
A cited RAG copilot based on approved SOPs and runbooks.
04
Design supervised agentic operations
An approval-gated NOC workflow with evidence, escalation and verification.
05
Present an end-to-end Telecom AI system
A capstone connecting telecom data, AI reasoning and operational controls.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
10 learning modules
Understand the telecom problem → use AI to analyse or recommend → verify the result → make an operational decision. The main track is conversational and low-code; Python, Colab and ML labs are optional.
Week 1 — Telecom AI Foundations
Place AI inside real telecom operations while keeping human control.
CORE TOPICS
- 4G, 5G and 5G-Advanced; RAN, Core, Transport and OSS/BSS
- NOC and service-assurance workflows
- KPIs, alarms, logs, events and telecom data sources
- Machine Learning vs Generative AI vs Agentic AI
- Mission-critical limits and human-in-the-loop AI
GUIDED PRACTICE
Use an AI assistant to interpret telecom KPIs, alarms and operational scenarios.
MODULE DELIVERABLE
Telecom AI opportunity and control map
Week 2 — Generative AI & Telecom LLMs
Use leading LLMs for telecom troubleshooting, documentation and reporting with verification.
CORE TOPICS
- LLM fundamentals and telecom foundation-model concepts
- ChatGPT, Gemini and Claude for telecom tasks
- Technical-document analysis, incident summaries and reports
- General LLM vs telecom-specific LLM
- Hallucination checks, privacy and security
GUIDED PRACTICE
Create a Telecom AI Assistant for network troubleshooting and reporting.
MODULE DELIVERABLE
Telecom AI Assistant
Week 3 — AI-Assisted Network KPI Analysis
Turn network-performance data into checked operational findings.
CORE TOPICS
- KPI degradation, trend and traffic analysis
- Capacity, congestion and conversational dataset analysis
- Dashboard interpretation with Power BI or Grafana where useful
- Automated management summaries
- Verified network-performance reporting
GUIDED PRACTICE
Analyse telecom KPI data conversationally and verify the performance finding.
MODULE DELIVERABLE
Project 1 — AI Network KPI Analyst
Week 4 — Alarm Intelligence, Anomaly Detection & Root-Cause Analysis
Correlate noisy events and create explainable operational recommendations.
CORE TOPICS
- Alarm storms, correlation and prioritisation
- Event correlation and anomaly detection
- Root-cause analysis and pattern identification
- False-positive reduction
- Splunk, Grafana, AI assistants and optional ML
GUIDED PRACTICE
Correlate and prioritise alarms, then suggest evidence-linked root causes.
MODULE DELIVERABLE
Project 2 — Alarm Intelligence System
Week 5 — Predictive Network Operations
Use AI-assisted ML to anticipate faults, degradation and capacity needs.
CORE TOPICS
- Predictive maintenance and fault prediction
- Traffic and capacity forecasting
- Time series, classification, clustering and anomaly models
- AI-assisted preparation, testing and interpretation
- Model limitations and operational validation
GUIDED PRACTICE
Build an AI-assisted warning workflow using representative telecom data.
MODULE DELIVERABLE
Project 3 — Predictive Network Health
Week 6 — Telecom RAG & NOC Copilot
Build grounded telecom knowledge systems from approved operational material.
CORE TOPICS
- RAG, retrieval and semantic search
- SOPs, runbooks, manuals, alarm documents and incident histories
- Grounded answers, citations and hallucination reduction
- Knowledge freshness and access control
- NOC Copilot design
GUIDED PRACTICE
Create an assistant that answers from supplied telecom sources and cites them.
MODULE DELIVERABLE
Project 4 — Telecom RAG Copilot
Week 7 — AI for Customer Operations & Service Assurance
Connect customer impact with network and service evidence.
CORE TOPICS
- Complaint classification, sentiment and contact-centre summaries
- Churn and next-best-action concepts
- Network complaint correlation and customer-impact prediction
- Service degradation and SLA analysis
- AI-assisted communications and service-assurance workflows
GUIDED PRACTICE
Combine complaint and network data into a checked service-impact report.
MODULE DELIVERABLE
AI-assisted service-impact report
Week 8 — Telecom Fraud, Security & Revenue Assurance
Apply anomaly-led investigation without turning the course into a security certification.
CORE TOPICS
- Telecom fraud patterns and subscriber behaviour
- Revenue leakage and revenue assurance
- Network-security AI and suspicious-activity detection
- AI-assisted investigation and false-positive management
- Privacy, governance and responsible AI
GUIDED PRACTICE
Investigate a synthetic fraud or revenue-leakage case and document review controls.
MODULE DELIVERABLE
Telecom fraud and revenue-assurance case
Week 9 — Agentic AI for Telecom Operations
Design supervised tool-using agents with approval, evidence and recovery controls.
CORE TOPICS
- Chatbot vs copilot vs agent
- NOC and OSS/BSS agents; multi-agent concepts
- Observe → Diagnose → Retrieve → Reason → Recommend → Approve → Act → Verify
- n8n or a suitable visual workflow environment
- Guardrails, audit trails, rollback, escalation and human approval
GUIDED PRACTICE
Build an alarm-to-ticket workflow that pauses for approval and verifies the outcome.
MODULE DELIVERABLE
Project 5 — Agentic NOC Workflow
Week 10 — AI-Native Telecom, 5G-A/6G & Capstone
Connect present-day operations with practical future-network directions.
CORE TOPICS
- AI in 5G-Advanced, AI-RAN and Open RAN
- Network slicing, Edge AI, federated AI and energy optimisation
- Autonomous and AI-native networks
- Telecom foundation models and multi-agent systems
- 6G + AI direction and Telecom AI careers
GUIDED PRACTICE
Combine several course components into one end-to-end applied telecom case.
MODULE DELIVERABLE
Project 6 — Telecom AI Capstone
HOW THE TRAINING WORKS
Understand. Analyse. Verify. Decide.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
AI Network KPI Analyst
Plan, produce, test and present a finished piece with trainer feedback.
Alarm Intelligence System
Plan, produce, test and present a finished piece with trainer feedback.
Predictive Network Health
Plan, produce, test and present a finished piece with trainer feedback.
Telecom RAG Copilot
Plan, produce, test and present a finished piece with trainer feedback.
Agentic NOC Workflow
Plan, produce, test and present a finished piece with trainer feedback.
Telecom AI Capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
Core Generative AI
ChatGPTGeminiClaude
AI & Automation
n8nGoogle Colab
Telecom, Data & Monitoring
SplunkGrafanaPower BI where appropriateEricsson Network Intelligence or equivalent platforms where available
Optional Technical Tools
Pythonpandasscikit-learn
Access to proprietary telecom systems is not promised. Where direct access is unavailable, students use representative datasets, simulations or equivalent environments. Tool coverage may change while the operational methods and verification controls remain.COMMON QUESTIONS
Before you apply
What will I actually learn?
You will learn how AI, Machine Learning, Generative AI, RAG and supervised agents are applied to modern telecom network operations, service assurance, customer operations and related telecom use cases.
＋Do I need Python?
No. Coding is optional for the main learning path. Optional technical labs may use Python, pandas, scikit-learn and Google Colab with AI assistance.
＋Is this just ChatGPT for telecom?
No. The programme combines leading LLMs with network KPI analysis, alarm correlation, anomaly detection, predictive methods, RAG, service assurance and agentic workflows.
＋Is this only a NOC course?
No. Network operations are a major part, but the course also covers customer operations, service assurance, fraud and revenue use cases, OSS/BSS and future AI-native networks.
＋Will I build anything?
Yes. Six named applied projects cover KPI analysis, alarm intelligence, predictive network health, a Telecom RAG Copilot, an Agentic NOC Workflow and an end-to-end capstone.
＋Will I receive hands-on access to proprietary telecom platforms?
Access is not promised unless confirmed for a batch. Where a proprietary platform is unavailable, the workflow is taught through representative datasets, simulations or an equivalent environment.
＋Can AI act independently on a live production network?
The course does not present AI diagnosis as automatically correct. Evidence, human approval, audit trails, escalation, rollback and outcome verification remain part of operational workflows.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.