AIOps with Prometheus, Grafana and ML Training in San Francisco

AIOps with Prometheus, Grafana and ML Training in San Francisco, USA

This course teaches participants how to build intelligent IT operations using Prometheus and Grafana, enhanced with machine learning capabilities.

Enroll Now

AIOps with Prometheus, Grafana and ML Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AIOps with Prometheus, Grafana and ML Training course with hands-on, instructor-led sessions. This hands-on course teaches participants how to build intelligent IT operations using Prometheus and Grafana, enhanced with machine...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: NLT46
21 Hrs
Last Updated: April 2026

Course Rating5/5

This hands-on course teaches participants how to build intelligent IT operations using Prometheus and Grafana, enhanced with machine learning capabilities. The course covers advanced monitoring, anomaly detection, alerting, and visualization, along with ML integration to enable predictive and automated operations workflows.

Welcome to the official AIOps with Prometheus, Grafana and ML Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Familiarity with Linux and basic shell scripting
Experience with system or application monitoring
Knowledge of Prometheus and Grafana fundamentals
Basic understanding of time-series data and alerting concepts
No prior ML experience required (concepts introduced in training)

By the end of this course, participants will be able to build an intelligent monitoring stack with Prometheus and Grafana, apply machine learning to detect anomalies and performance trends, and enable automated, intelligent alerting and remediation within their infrastructure.

Set up and manage advanced Prometheus-Grafana monitoring systems
Design efficient metrics pipelines and visualization dashboards
Detect anomalies and trends using ML models in Grafana and Prometheus
Integrate ML-driven alerting into DevOps workflows
Use open source ML tools to automate operational intelligence

Prometheus data modeling and querying
Grafana dashboards and advanced visualizations
Alerting strategies with ML-enhanced detection
ML libraries and plugins for time-series data
Integration of predictive insights into alerts and automation flows

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Advanced Monitoring with Prometheus and Grafana

Introduction to Intelligent Monitoring

Defining AIOps in the context of Prometheus and Grafana
Overview of time-series monitoring
Benefits of ML in observability pipelines
Architecture for AIOps with Prometheus + Grafana + ML

Prometheus Deep Dive

Data scraping, exporters, and relabeling
Writing effective PromQL queries
Best practices for metric naming and retention
Federation and scaling in large environments

Grafana for Operational Insights

Advanced dashboard features and templating
Using transformations, variables, and drilldowns
Real-time vs historical data views
Sharing, exporting, and alerting from Grafana panels

Alerting and Anomaly Detection with Machine Learning

Prometheus Alerting Concepts

Alert rules vs recording rules
Alertmanager setup and routing
Silence, inhibition, and grouping alerts
Alert reliability and anti-flapping techniques

Anomaly Detection Techniques

Static vs dynamic thresholds
Time-series forecasting and outlier detection
Use cases for contextual and seasonal anomalies
Approaches: Holt-Winters, ARIMA, Z-score, Isolation Forest

ML Integration in Grafana and Prometheus

Grafana ML plugins (Grafana Machine Learning, Prophet panel, etc.)
Using Grafana with Python-based ML (Jupyter, Flask API)
External anomaly detection pipelines and webhooks to Alertmanager
Integrating with external ML tools (e.g., TensorFlow, Scikit-learn)

Automating Intelligence and Building AIOps Pipelines

Predictive Monitoring and Trend Analysis

Long-term trend analysis with Prometheus and Grafana
Forecasting system load, memory, or latency
Early warning systems with prediction intervals
Custom ML models for specific operational metrics

Alert Enrichment and Automation

Enhancing alerts with logs, tags, and historical data
Integration with incident management tools
Triggering remediation workflows via webhooks or automation tools
Alert correlation and deduplication patterns

Building a Complete AIOps Stack

Full pipeline: exporters → Prometheus → ML → Grafana → Alerting
Review open source ML tool options: Sktime, Prophet, PyCaret, etc.
Key architectural considerations for enterprise use
Security, scalability, and maintainability

Final Assessment and Project Review

Wrap-up, Q&A, and next steps for real-world adoption

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

AIOps with Prometheus, Grafana and ML Training Events in san-francisco

Online Events

Global Region	Location	Start Date	End Date	Action
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌

More Upcoming Session Dates

October 2026

📍 San Francisco, USA

24th Oct 2026→26th Oct 2026

🌐 Online Instructor-Led

27th Oct 2026→29th Oct 2026

November 2026

📍 San Francisco, USA

3rd Nov 2026→5th Nov 2026

🌐 Online Instructor-Led

10th Nov 2026→12th Nov 2026

📍 San Francisco, USA

18th Nov 2026→20th Nov 2026

🌐 Online Instructor-Led

28th Nov 2026→30th Nov 2026

December 2026

🌐 Online Instructor-Led

7th Dec 2026→9th Dec 2026

📍 San Francisco, USA

12th Dec 2026→14th Dec 2026

🌐 Online Instructor-Led

18th Dec 2026→20th Dec 2026

📍 San Francisco, USA

19th Dec 2026→21st Dec 2026

Events for other courses in San Francisco, USA

Global Region	Course Name	Start Date	End Date	Action
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌
‌	‌	‌	‌	‌

AIOps with Prometheus, Grafana and ML Training in San Francisco