FDP on AIOps
Type: FDP
MEVI TECHNOLOGIES PRESENTS
5-DAY ONLINE FACULTY DEVELOPMENT PROGRAMAIOps: Artificial Intelligence for Network Monitoring and Fault Prediction
Discover how Artificial Intelligence and Machine Learning can transform traditional network monitoring into intelligent, proactive fault detection.
About the FDP
AIOps combines data analytics, automation and Machine Learning to help identify unusual system behaviour, investigate incidents and estimate potential fault risks.
This five-day practical program introduces faculty members to infrastructure monitoring, anomaly detection, predictive modelling and Python-based AIOps applications.
What You Will Learn
Intelligent infrastructure monitoring
AI-based anomaly detection
Fault prediction using Machine Learning
Root cause analysis
End-to-end AIOps mini-project
YOUR LEARNING JOURNEY
5-Day Syllabus
One hour per day · Online demonstrations and hands-on practice
AIOps Fundamentals
- Introduction to AIOps and applications
- Traditional vs AI-driven monitoring
- CPU, memory, latency and packet loss
- Metrics, logs and traces
- Python performance data visualization
Practical: Analyze and visualize sample metrics.
Monitoring and Alerting
- Monitoring data collection
- Time-series data and performance trends
- Introduction to Prometheus and Grafana
- Threshold-based alerts
- Service health monitoring
Practical: Build a Python alert workflow.
AI Anomaly Detection
- Normal vs abnormal behaviour
- Feature engineering
- Z-score anomaly detection
- Isolation Forest using Scikit-learn
- Visualizing detected anomalies
Practical: Detect anomalies using Machine Learning.
Fault Prediction and Root Cause Analysis
- Anomaly detection vs fault prediction
- Preparing historical monitoring data
- Early warning signals
- Fault-risk classification
- Precision, recall and confusion matrix
Practical: Train and evaluate a fault-risk model.
End-to-End AIOps Mini-Project
- Integrating monitoring data and ML models
- Building an anomaly detection workflow
- Generating fault-risk alerts
- Visualizing infrastructure health
- Project demonstration and future applications
Practical: Develop a mini AIOps prototype.
Why Join This FDP?
Python Hands-on
Guided practical coding
AI and ML
Anomaly detection and prediction
Mini-Project
Build a practical prototype
Certificate
Subject to attendance requirements
Mandatory Attendance for Certificate
Attendance on all five days is mandatory to receive the certificate. Please ensure that you attend every session.
Ready to Explore AIOps?
Five evenings of AI, monitoring and practical learning.
Registration Fee: ₹299
27–31 October 2026 | 7:15–8:15 PM IST
Online via Google Meet
Register Now