90%+Placement Assistance Rate
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.
Real time industry trainers- Certificate on completion
- Classroom + online available
- Flexible batch timings
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 & TechnologiesWhat you'll work with
Build practical skills with the tools and technologies used in modern IT operations, monitoring, automation, and observability.
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.
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 and Site Reliability Engineering
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
Machine Learning Foundations for AIOps
- Core ML concepts relevant to operations: supervised vs unsupervised learning
- Time series analysis for operational data
- Introduction to Python for data analysis in IT operations
- Overview of algorithms used for anomaly detection and forecasting
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
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
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
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
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
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
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 professionalsEngineers looking to add AI driven monitoring and automation skills to their existing operations background.
System and IT operations administratorsProfessionals who want to move from manual monitoring into intelligent, automated operations.
Aspiring data engineers with an IT operations interestGraduates with basic Python and data skills looking to specialize in operational analytics.
Cloud and infrastructure engineersProfessionals managing cloud environments who want to reduce alert noise and improve incident response.
Software developers switching domainsDevelopers with scripting or Python experience looking to move into DevOps or SRE roles.
Freelancers and independent consultantsProfessionals 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.
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
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 IndiaSame 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.
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 Consultant10+ years in IT operations, DevOps, and AI driven monitoring implementation- Machine Learning for Operations SpecialistExpert in anomaly detection, predictive analytics, and time series analysis
- Automation and SRE ExpertSpecializes in incident automation, self healing workflows, and CI/CD integration
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!
Musthak
Course: DevOps
Markappa
Course: SAP MM
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.
