--- title: "AIOps Training in Bangalore | Automation & Observability" url: https://mnptechnologies.com/aiops-training-in-marathahalli/ description: "Learn AIOps in Bangalore with monitoring, automation and observability through practical, trainer-led training." --- # AIOps Training in Marathahalli, Bangalore ## Build Intelligent IT Operations Skills With Hands-On **AIOps** Training Learn to apply AIOps concepts and automation techniques to modern IT operations. Develop practical expertise in data collection, event correlation, anomaly detection, root cause analysis, predictive analytics, and automated remediation through real-time labs, hands-on exercises, and industry-relevant case studies. [Book a Free Demo](https://mnptechnologies.com/contact-us/)[View Full Syllabus](https://mnptechnologies.com/aiops-training-in-marathahalli/#syllabus) - Real time industry trainers - Certificate on completion - Classroom + online available - Flexible batch timings **90%+** Placement Assistance Rate **15+** Courses Across 6 Domains **15+** Years Training IT Professionals **5,000+** Students Trained Industry Recognition ## Where AIOps Skills Take You AIOps isn't tied to one industry or one type of company. Every organization running complex, distributed IT infrastructure, banking, e-commerce, telecom, and cloud native product companies alike, needs professionals who can apply AI and machine learning to reduce alert noise, predict failures, and speed up incident resolution, which means the skills you build here transfer across sectors, not just one job market. This course is structured around how DevOps and SRE teams actually use AIOps in production, so what you learn maps to real operational work. ### Runs across every complex IT environment Banking, e-commerce, telecom, and cloud native companies all deal with growing infrastructure complexity, so demand for AIOps skills isn't locked to one sector. ### A fast growing, future facing skillset AIOps sits at the intersection of DevOps, SRE, and machine learning, three of the fastest growing IT specializations, making it a career track with strong long term demand. ### Enterprise recognized skillset Used by global enterprises and Indian conglomerates alike, making the skill portable across company size and geography. ### Salary data, sourced Fresher entry around ₹4 to 6 LPA, moving to ₹8 to 13 LPA within 1 to 2 years and ₹15 to 22 LPA with 2 to 4 years of experience in AIOps, DevOps, or SRE roles. Tools & Technologies ## What you'll work with Build practical skills with the tools and technologies used in modern IT operations, monitoring, automation, and observability. AIOps Platforms: Moogsoft, Dynatrace, and IBM Cloud Pak for Watson AIOpsMonitoring and Observability: ELK Stack, Splunk, and Prometheus/GrafanaMachine Learning for Anomaly Detection and ForecastingEvent Correlation and Noise Reduction TechniquesIncident Management and Alerting: PagerDuty and ServiceNow basicsAutomation and Remediation ScriptingCloud Platforms: AWS/Azure Monitoring and AI ServicesCI/CD and DevOps Toolchain IntegrationPython for Data Analysis in IT OperationsLog, Metric, and Trace Analysis (Telemetry Data) Course Curriculum ## Module by Module AIOps Syllabus This AIOps course in Bangalore covers everything from IT operations fundamentals to advanced machine learning driven automation, structured across 10 modules with hands on labs throughout. **Module 1** ### Introduction to AIOps - What AIOps is and why it matters in modern IT operations - Evolution from traditional monitoring to AI-driven operations - AIOps architecture: data ingestion, analytics, and automation layers - How AIOps fits with [DevOps](https://mnptechnologies.com/devops-course-marathahalli-bangalore/) and Site Reliability Engineering **Module 2** ### Data Collection and Monitoring - Collecting logs, metrics, events, and traces from distributed systems - Introduction to observability and the three pillars of telemetry data - Working with ELK Stack, Splunk, and Prometheus/Grafana - Building a unified data pipeline for IT operations data **Module 3** ### Machine Learning Foundations for AIOps - Core ML concepts relevant to operations: supervised vs unsupervised learning - Time series analysis for operational data - Introduction to [Python](https://mnptechnologies.com/python-training-marathahalli/) for data analysis in IT operations - Overview of algorithms used for anomaly detection and forecasting **Module 4** ### Anomaly Detection - Identifying unusual patterns in system behavior - Statistical and ML-based anomaly detection techniques - Setting thresholds and reducing false positives - Hands-on anomaly detection using sample operational datasets **Module 5** ### Event Correlation and Noise Reduction - Understanding alert fatigue and the need for correlation - Grouping related alerts into meaningful incidents - Correlation techniques: topology-based, pattern-based, and ML-based - Reducing mean time to detect (MTTD) through smarter alerting **Module 6** ### Root Cause Analysis - Techniques for tracing incidents back to their source - Dependency mapping and topology analysis - Using AI to accelerate root cause identification - Case studies of real-world incident investigations **Module 7** ### Predictive Analytics and Capacity Planning - Forecasting potential issues before they impact systems - Predictive models for capacity and performance planning - Trend analysis for proactive infrastructure management - Building simple predictive models with historical operations data **Module 8** ### Automation and Self Healing Systems - Automating repetitive operational tasks - Designing self-healing workflows and auto-remediation - Integrating AIOps with CI/CD pipelines - Reducing mean time to resolve (MTTR) through automation **Module 9** ### AIOps Platforms and Cloud Integration - Overview of Moogsoft, Dynatrace, and IBM Cloud Pak for Watson AIOps - Integrating AIOps with AWS and Azure monitoring services - Incident management integration with PagerDuty and ServiceNow - Choosing the right AIOps tools for different environments **Module 10** ### Real Time Project and Interview Preparation - End-to-end AIOps implementation on a real operational scenario - Building a monitoring, correlation, and alerting pipeline - Common AIOps, DevOps, and SRE interview questions - Resume building and project documentation guidance Is This for You? ## Who Should Join This AIOps Course **DevOps and SRE professionals** Engineers looking to add AI driven monitoring and automation skills to their existing operations background. **System and IT operations administrators** Professionals who want to move from manual monitoring into intelligent, automated operations. **Aspiring data engineers with an IT operations interest** Graduates with basic Python and data skills looking to specialize in operational analytics. **Cloud and infrastructure engineers** Professionals managing cloud environments who want to reduce alert noise and improve incident response. **Software developers switching domains** Developers with scripting or Python experience looking to move into DevOps or SRE roles. **Freelancers and independent consultants** Professionals looking to upskill for AIOps based freelance or consulting opportunities. Flexible Batch Options ## Choose a Batch That Fits Your Schedule This AIOps training in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands-on lab exercises. **Weekday Batch** ### Ideal for freshers and full time learners. - 1 to 2 hrs/day · Mon to Fri - Morning and evening slots - 6 to 8 weeks total - Max 20 students **Weekend Batch** ### Best suited for working professionals. - 2 to 3 hrs/session · Sat to Sun - No clash with office hours - 8 to 10 weekends total - Max 20 students **Live Online Available Across India** Same trainer, same curriculum, same batch cap (max 20). No pre recorded videos: live monitoring, correlation, and automation demos, Q&A, and hands on lab practice in every session. Your Mentors ## Trained by Industry Experts, Not Just Instructors MNP's AIOps trainers bring a minimum of 8 to 12 years of hands-on expertise across DevOps, Site Reliability Engineering, and applied machine learning for IT operations, with in-depth subject knowledge and real project implementation experience. Every session is built around real monitoring, correlation, and automation scenarios and the kind of questions that come up in AIOps and SRE interviews. - **AIOps Lead Consultant** 10+ years in IT operations, DevOps, and AI driven monitoring implementation - **Machine Learning for Operations Specialist** Expert in anomaly detection, predictive analytics, and time series analysis - **Automation and SRE Expert** Specializes in incident automation, self healing workflows, and CI/CD integration Placement Support ## Career Support That Goes Beyond Training Our AIOps training in Bangalore with placement support includes: - Resume building with AIOps and DevOps specific templates - Mock technical interviews with real AIOps, DevOps, and SRE interview questions - LinkedIn profile optimization - Direct referrals to hiring partners actively seeking AIOps professionals - Weekly job notifications for AIOps, DevOps, and SRE roles in Bangalore - Offer letter and salary negotiation guidance Student Success Stories ## What Our AIOps Students Say These are real students who trained at MNP Technologies and went on to secure AIOps, DevOps, and SRE roles across Bangalore. ### Anjali Sahu Alchemy Techsol India Thanks to the hands-on **SAP FICO** training and incredible placement support at **MNP Technologies** . This comprehensive program gave me the exact skills and confidence I needed to successfully land my dream career. ### Bharath J Sumadhura The **SAP MM** training at **MNP Technologies** helped me gain practical knowledge, build confidence and secure a great opportunity. I’m grateful for the trainers and placement support. ### Ashlesha Reddy CSS Corp Pvt Ltd Enrolling in **MNP Technologies** for **AWS & DevOps** was the best decision for my career, thanks to the incredibly supportive trainers who went above and beyond to solve every technical problem. ### Durga Bhavani Sumadhura MNP’s live training and expert mentors gave me the practical **SAP FICO** skills needed to stand out. Thanks to their dedicated placement support and mock interviews, I easily secured my breakthrough corporate role! ### G Manisha Naidu BSOL System (P.V.T) The **AWS & DevOps** training at **MNP Technologies** gave me the hands-on experience and confidence I needed to grow in my career. Thank you for the great support. ### Mohan Rama Chandrareddy Sumadhura The live project training in **SAP FICO** at **MNP Technologies** gave me a massive corporate advantage and hands-on confidence. I am incredibly thankful to MNP and their brilliant placement team for helping me. ### Nadigatla Sai Praveen Sumadhura The live training and case studies at **MNP Technologies** made complex **SAP MM** modules incredibly easy to master. Thanks to their consistent mock interviews and dedicated placement support, I built the confidence needed to clear my corporate selection process smoothly! ### Syed Junaid Ahammad Sumadhura MNP’s live training and hands-on projects gave me a deep, practical understanding of **SAP MM** . Their dedicated placement support and mock interview sessions were excellent, helping me confidently clear my rounds and secure my job! ### Monika Course: AWS & DevOps Enrolling in the **AWS & DevOps** course at MNP Technologies was a game-changer for me. The hands-on training with real-time scenarios gave me the exact technical skills and confidence I needed to transition into the cloud industry. ### Philips Course: AWS & DevOps Thanks to the hands-on **AWS & DevOps** training and mentorship I received, I gained the confidence and real-world skills needed to successfully transition into a cloud and DevOps engineering role. ### Sweta Deloitte · AWS & DevOps The practical exposure I got during my **AWS & DevOps** training at MNP Technologies was crucial in helping me step confidently into my role at Deloitte. The trainers focus on real-world enterprise scenarios that make all the difference. ### Yogireddy Course: AWS & DevOps MNP Technologies doesn't just teach **AWS & DevOps** ; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt! ### Madhusudan Course: SAP FICO MNP Technologies doesn't just teach **SAP FICO** ; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt! ### Musthak Course: DevOps ### Markappa Course: SAP MM [View All Reviews](https://mnptechnologies.com/testimonials/) ## Frequently Asked Questions ### What is AIOps and how is it different from traditional monitoring? Ans: AIOps (Artificial Intelligence for IT Operations) uses machine learning and big data analytics to automatically detect anomalies, correlate alerts, and predict issues. Traditional monitoring relies on static thresholds and manual analysis, while AIOps learns patterns from data to reduce noise and speed up incident resolution. ### Are there any prerequisites to join this AIOps course? Ans: A basic understanding of IT operations, monitoring, or DevOps concepts is recommended. Prior exposure to Python or scripting is helpful but not mandatory, since the course covers the required data analysis foundations. ### Is AIOps difficult to learn for someone with a traditional operations background? Ans: No. If you already understand monitoring and incident management, AIOps builds on that foundation by adding machine learning based analysis and automation. The course introduces the ML concepts you need step by step, without requiring a data science background. ### What is the difference between AIOps and MLOps? Ans: AIOps applies AI and machine learning to improve IT operations, monitoring, incident management, and automation. MLOps focuses on managing the lifecycle of machine learning models themselves, training, deployment, and monitoring of ML systems. Many organizations use both together. ### What kind of job roles can I apply for after this course? Ans: Graduates typically enter the market as AIOps Engineer, DevOps Engineer, Site Reliability Engineer, and IT Operations Analyst. ### Will I get hands-on practice during this course? Ans: Yes. Practical mastery requires direct hands-on practice with anomaly detection, event correlation, and automation using real operational datasets, culminating in a real time end to end AIOps project. ### What is the starting salary a fresher can expect after this course? Ans: An entry level AIOps or DevOps professional can expect a starting annual package ranging from ₹4 Lakhs to ₹6 Lakhs per annum (LPA), growing quickly with hands-on project experience. ### What is the duration of the AIOps program at MNP Technologies? Ans: Our comprehensive, industry aligned AIOps training pipeline is structured to be completed within 6 to 8 weeks, depending on whether you choose a weekday or weekend batch. ### Is there AIOps training in Marathahalli? Ans: Yes, MNP Technologies conducts classroom AIOps training in Marathahalli, Bangalore, alongside live online AIOps training available across India, both capped at a maximum of 20 students. ## Ready to Build Your Career in AIOps? Learn AIOps through practical, industry-focused training designed to help you develop job-ready skills. Choose a weekday, weekend, or online batch and start your journey with MNP Technologies. [Book a Free Demo](https://mnptechnologies.com/contact-us/)