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AiOps Training and Certification Course

(5.0) G 4.5/5 f 4.5/5
Course Duration

5 Days

Live Project

NA

Certification

Industry recognized

Training Format

Online/Classroom/Corporate

images
8000+

Certified Learners

15+

Years Avg. faculty experience

40+

Happy Clients

4.5/5.0

Average class rating

Introduction

The "AiOps Certified Professional" (AIOCP) designation typically refers to a certification program aimed at individuals who want to demonstrate their expertise in the field of Artificial Intelligence for IT Operations (AIOps). This certification would likely cover a range of topics pertinent to AIOps, including but not limited to machine learning, data analytics, automation, monitoring, and incident response within IT operations.

What is AiOps?

AIOps uses artificial intelligence to simplify IT operations management and accelerate and automate problem resolution in complex modern IT environments.

AIOps, (for artificial intelligence for IT operations) is the application of artificial intelligence (AI) to enhance IT operations. Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following:

  • Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications, and performance-monitoring tools
  • Intelligently sift ‘signals’ out of the ‘noise’ to identify significant events and patterns related to system performance and availability issues.
  • Diagnose root causes and report them to IT for rapid response and remediation—or, in some cases, automatically resolve these issues without human intervention.

By replacing multiple separate, manual IT operations tools with a single, intelligent, and automated IT operations platform, AIOps enables IT operations teams to respond more quickly—even proactively—to slowdowns and outages, with a lot less effort.

It bridges the gap between an increasingly diverse, dynamic, and difficult-to-monitor IT landscape, on the one hand, and user expectations for little or no interruption in application performance and availability, on the other. Most experts consider AIOps to be the future of IT operations management.

In this course, you would get following answer:

  • Does any service present a significant change in the services it uses to fulfil requests?
  • Does the product support the capture of the end user experience for Windows applications?
  • How do you make sure your organization is always ahead of the curve in the AIOps space?
  • How would that other organizations experience have been different with AIOps?
  • Is providing excellent customer service an important part of your operational strategy?
  • Is there specific vendor support for storage subsystems either logically or physically?
  • What is the fundamental difference between AIOps and digital operations?
  • What is the right way to track dependencies and keep your functions up to date and secure?
  • What steps do you take to lay the groundwork for new networking models in your enterprise?
  • Which AIOps application is built to integrate with the tools you already own and use?

In this course, we will be better able to:

  • Diagnose AIOps projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices.
  • Implement evidence-based best practice strategies aligned with overall goals.
  • Integrate recent advances in AIOps and process design strategies into practice according to best practice guidelines.
  • Using the Self-Assessment tool gives you the AIOps Scorecard, enabling you to develop a clear picture of which AIOps areas need attention.

The central functions of an AIOps platform, as defined by Gartner, are:

  • Ingesting data from multiple sources agnostic to source or vendor.
  • Performing real-time analysis at the point of ingestion.
  • Performing historical analysis of stored data.
  • Leveraging machine learning.
  • Initiating an action or next step based on insights and analytics.

What are key AIOps use cases?

According to Gartner, there are five primary use cases for AIOps, which we’ll look at in depth:

  • Big data management (volume, variety, variability and velocity)
  • Performance analysis
  • Anomaly detection
  • Event correlation and analysis
  • IT service management

Purpose of AIOCP Certification:

  • Validate Skills: It serves to validate the skills and knowledge of professionals in using AI technologies and practices to improve IT operations.
  • Industry Recognition: It provides recognition within the industry, indicating a professional level of competency in the AIOps domain.

Potential Content of AIOCP Program:

  • Fundamentals of AI and Machine Learning: Understanding the basics of AI and ML, how they apply to IT operations.
  • Data Management and Analysis: Techniques for managing and analyzing large volumes of IT data.
  • Automation in IT Operations: Using AI to automate routine tasks, incident responses, and workflow optimization.
  • Monitoring and Observability: Implementing AI-driven monitoring tools and practices for better visibility into IT systems.
  • Incident Management and Response: Leveraging AI for quicker and more effective incident resolution.
  • Integration of AI Tools and Platforms: Best practices for integrating various AI tools (like machine learning libraries, monitoring tools, etc.) into IT environments.
  • Case Studies and Real-World Applications: Learning from real-world scenarios and case studies where AIOps has been successfully implemented.

Target Audience:

  • IT professionals, system administrators, and operations engineers seeking to integrate AI into their workflows.
  • Professionals aiming to specialize in the field of AIOps.
  • Teams and organizations looking to enhance their IT operations with AI technologies

Format and Requirements:

  • The program may include a mix of theoretical learning, practical exercises, and case studies.
  • It might require passing an examination that tests the candidate's knowledge and understanding of AIOps principles and practices.

What you'll learn

  • AIOps Foundations
  • AIOps Implementation Roadmap
  • AIOps Project workflow
  • AIops Deployment Types & storages
  • AIops Industry Use cases
  • AIOps Vs DevOps Vs MLops Lifec cycle
  • AIOps Popular Solutions
  • AIOps Challenges
  • AIops Tools
  • AIOps Best Practices
  • AIOps supporting DevOps & SRE

Benefits of AIOCP:

  • Professional Growth: Enhances career opportunities and professional growth in the rapidly evolving field of IT operations.
  • Skills Enhancement: Helps in staying current with the latest AI technologies and practices in IT operations.
  • Organizational Impact: Enables professionals to contribute more effectively to their organizations by optimizing IT operations through AI.

How do you use artificial intelligence in operations management?

AIOps is designed to bring the speed and accuracy of AI to IT operations. IT operations management has become increasingly challenging as networks have become larger and more complex. Traditional operations management tools and practices struggle to keep up with the ever-growing volumes of data from many sources within complex and varied network environments.

Instructor-led, Live & Interactive Sessions

Duration
Mode
Level
Batches
Course Price at
8 - 12 hrs (Approx)
Online (Instructor-led)
Advance
Public Batch

49,999/-

8 - 12 hrs (Approx)
Video (Self Learning)
Advance
Public Batch

19,999/-

5 Days
Corporate (Online/Classroom)
AiOps Training
Corporate Batch
Contact US

Agenda: AiOps Training and Certification Course Download Curriculum

Overview of AiOps

  • Benefits of Artificial Intelligence for IT Operations (AIOps)
  • Artificial Intelligence for IT Operations (AIOps) Overview
  • Benefits of AIOps
  • Use Case: Evaluating the Benefits of AIOps
  • Implications of AIOps for Business
  • Implications of AIOps for Business
  • Use Case: Implications of AIOps for Business
  • Key Capabilities of Artificial Intelligence for IT Operations (AIOps)
  • Key Capabilities of AIOps
  • Use Case: Understanding Key Capabilities of AIOps
  • Key Dimensions of IT Operations Monitoring
  • IT Operations Monitoring: Overview and Relevance
  • Understanding Key Dimensions of IT Operations Monitoring
  • Key Dimensions of IT Operations Monitoring and AIOps
  • Use Case: Understanding Key Dimensions of IT Operations Monitoring
  • AIops Deployment Types & storages
  • AIops Industry Use cases
  • AIOps Vs DevOps Vs MLOps Life cycle
  • AIOps Challenges
  • AIOps Popular Solutions
  • AIOps Best Practices
  • AIOps supporting DevOps & SRE

Introduction to Prometheus

  • Overview of Prometheus
    • Brief history and purpose
    • Key features and architecture
  • Basic Installation and Configuration
    • Quick setup guide
    • Overview of configuration files and settings
  • Understanding Metrics and Data Model
    • Introduction to Prometheus metrics
    • Data types and structure
  • Q&A Session

Basic Monitoring with Prometheus

  • Instrumentation and Metrics Collection
    • How to add Prometheus metrics to an application
    • Best practices for metric collection
  • Introduction to Prometheus Query Language (PromQL)
    • Basic syntax and queries
    • Creating simple alerts
  • Hands-On Exercise
    • Quick setup of basic monitoring for a demo application

Introduction to Grafana and Dashboard Creation

  • Overview of Grafana
    • Key features and integration with Prometheus

  • Setting Up Grafana
    • Connecting Grafana to Prometheus

  • Creating Basic Dashboards in Grafana
    • Introduction to dashboard creation and configuration
    • Overview of visualization type

  • Hands-On Exercise
    • Participants create a basic dashboard for the demo application

Advanced Features and AIOps Integration

  • Advanced Dashboard Techniques in Grafana
    • Dynamic dashboards with variables
    • Setting up basic alerts in Grafana

  • Integrating Prometheus and Grafana with AIOps
    • How these tools fit into an AIOps strategy
    • Brief on AIOps concepts relevant to monitoring and observability

  • Wrap-Up and Q&A
    • Recap of key concepts
    • Open floor for questions and discussion on real-world applications

Data Collection and Monitoring Tools

Log management: ELK Stack (Elasticsearch, Logstash, Kibana)

Introduction to the ELK Stack

  • Overview of ELK Stack
    • Introduction to Elasticsearch, Logstash, and Kibana
    • Role of ELK in AIOps
    • Basic architecture and flow of data within the ELK Stack
  • Introduction to Elasticsearch
    • Understanding Elasticsearch basics: Indexes, Documents, and Nodes
    • Basic Elasticsearch operations: CRUD (Create, Read, Update, Delete)
  • Q&A Session
    • Address initial queries and clarifications

Deep Dive into Logstash and Data Ingestion

  • Understanding Logstash
    • Logstash fundamentals: Input, Filter, and Output plugins
    • Configuring Logstash for data ingestion
  • Hands-On Exercise: Setting Up Logstash
    • Walkthrough of setting up a basic Logstash pipeline
    • Ingesting sample data into Elasticsearch

Kibana for Data Visualization and Analysis

  • Introduction to Kibana
    • Kibana Dashboard, Visualization, and Discover features
    • Connecting Kibana to Elasticsearch
  • Hands-On Exercise: Creating Visualizations and Dashboards
    • Participants create basic visualizations and dashboards using the ingested data
    • Exploration of Kibana's features relevant to AIOps

ELK Stack in AIOps and Advanced Topics

  • ELK Stack in the Context of AIOps
    • Integrating ELK with AIOps workflows
    • Real-world use cases of ELK in AIOps (e.g., anomaly detection, performance monitoring)
  • Advanced ELK Features
    • Brief on advanced Elasticsearch queries
    • Overview of X-Pack features (security, alerting, machine learning)
  • Wrap-Up and Q&A
    • Recap of key points
    • Open Q&A session to discuss practical applications and address any remaining questions

Introduction to Apache Kafka

  • Introduction to Kibana
    • What is Apache Kafka and why it's important in AIOps
    • Kafka's architecture and core components (Brokers, Topics, Producers, Consumers)
  • Kafka Installation and Basic Configuration
    • Setting up a basic Kafka environment
    • Overview of Kafka configuration files
  • Kafka Producers and Consumers
    • Understanding Producers and Consumers
    • Writing basic producers and consumers
  • Q&A Session
    • Address initial queries and clarifications

Kafka in Depth - Topics, Partitions, and Replication

  • Deep Dive into Kafka Topics and Partitions
    • Creating and managing Topics
    • Understanding Partitions for scalability and reliability
  • Kafka Replication and Fault Tolerance
    • Concept of replication for high availability
    • Leader and follower partitions

Kafka Streams and Kafka Connect

  • Introduction to Kafka Streams
    • Understanding stream processing in Kafka
    • Basics of Kafka Streams API
  • Kafka Connect for Integration
    • Overview of Kafka Connect
    • Setting up connectors for data import/export

Kafka in AIOps and Practical Exercise

  • Using Kafka in an AIOps Context
    • Role of Kafka in event-driven architectures for AIOps
    • Real-world use cases: Log aggregation, metrics collection, real-time analytics
  • Hands-On Exercise: Setting Up a Kafka Pipeline
    • Building a simple pipeline for data ingestion and processing
    • Monitoring and managing Kafka performance
  • Wrap-Up and Q&A Session
    • Recap of key concepts and best practices
    • Open floor for final questions and discussions

Data Collection and Monitoring Tools

Machine learning libraries: TensorFlow

Introduction to TensorFlow and Machine Learning Basics

  • Overview of TensorFlow
    • Introduction to TensorFlow and its relevance in AIOps
    • Core features and capabilities of TensorFlow
  • Machine Learning Fundamentals
    • Brief overview of machine learning concepts
    • How TensorFlow supports machine learning operations
  • Setting Up TensorFlow
    • Installation and setup of TensorFlow
    • Introduction to TensorFlow’s programming model
  • Q&A Session
    • Address initial queries and clarifications

TensorFlow Basics - Operations, Graphs, and Sessions

  • TensorFlow Core Concepts
    • Understanding Tensors, Operations, Graphs, and Sessions
    • Building simple computation graphs
  • Hands-On Exercise: Basic TensorFlow Operations
    • Creating and executing a simple TensorFlow program
    • Introduction to TensorFlow data types and operations

Building Machine Learning Models with TensorFlow

  • Introduction to Neural Networks in TensorFlow
    • Basic concepts of neural networks
    • Building a simple neural network in TensorFlow
  • Practical Exercise: Building a Basic ML Model
    • Step-by-step construction of a machine learning model for a simple problem (e.g., regression or classification)

TensorFlow in AIOps and Advanced Topics

  • TensorFlow in the Context of AIOps
    • Discussing the role of TensorFlow in AIOps (e.g., anomaly detection, predictive maintenance)
    • Real-world examples of TensorFlow applications in AIOps
  • Advanced TensorFlow Features
    • Overview of advanced features like TensorFlow Extended (TFX), Keras for deep learning, and distributed training
  • Wrap-Up and Q&A Session
    • Recap of key concepts and best practices
    • Open floor for final questions and discussions on practical TensorFlow applications in AIOps

Introduction to Jupyter Notebooks

  • Overview of Jupyter Notebooks
    • Introduction to Jupyter Notebooks and their importance in data analysis
    • Key features and benefits in the context of AIOps
  • Setting Up Jupyter Notebooks
    • Installation and basic setup
    • Navigating the Jupyter Notebook interface
  • Basic Operations in Jupyter Notebook
    • Creating and managing notebooks
    • Overview of Markdown, code cells, and kernel management
  • Q&A Session
    • Addressing initial queries and clarifications

Data Analysis Basics in Jupyter Notebook

  • Data Import and Manipulation
    • Importing data from various sources (CSV, databases)
    • Basic data manipulation using Pandas
  • Hands-On Exercise: Working with Data
    • Participants practice importing and manipulating a sample dataset

Advanced Data Analysis and Visualization

  • Advanced Data Analysis Techniques
    • Exploring more complex data manipulation and transformation
    • Introduction to time series analysis relevant to AIOps
  • Data Visualization in Jupyter
    • Using Matplotlib and Seaborn for data visualization
    • Creating plots and charts relevant to AIOps data (e.g., performance metrics)

Jupyter Notebooks in AIOps Context and Best Practices

  • Applying Jupyter Notebooks in AIOps
    • Case studies or examples of Jupyter Notebooks used in AIOps scenarios
    • Integrating Jupyter Notebooks with other AIOps tools and platforms
  • Best Practices and Advanced Features
    • Tips for effective use of Jupyter Notebooks
    • Overview of advanced features like JupyterLab, extensions
  • Wrap-Up and Q&A Session
    • Recap of key concepts and functionalities
    • Open floor for final questions and in-depth discussions

Analysis and Automation

Configuration management tools: Ansible

Introduction to Ansible and Configuration Management

  • Overview of Ansible
    • Introduction to Ansible and its role in AIOps
    • Key features and advantages of using Ansible for configuration management
  • Ansible Architecture and Components
    • Understanding Ansible architecture: Playbooks, Roles, Tasks, Modules, Inventory
    • YAML syntax basics
  • Setting Up Ansible
    • Installation and basic setup of Ansible
    • Setting up an inventory file
  • Q&A Session
    • Addressing initial queries and clarifications

Basic Playbooks and Ad-hoc Commands

  • Writing Your First Ansible Playbook
    • Creating a simple playbook
    • Defining tasks and running the playbook
  • Ansible Ad-hoc Commands
    • Introduction to ad-hoc commands in Ansible
    • Practical examples of common ad-hoc commands

Advanced Ansible Features

  • Variables, Templates, and Roles
    • Using variables and templates for dynamic configurations
    • Organizing playbooks with roles
  • Error Handling and Debugging
    • Best practices for error handling in Ansible playbooks
    • Using Ansible's debugging tools

Ansible in AIOps and Hands-On Exercise

  • Applying Ansible in an AIOps Context
    • Case studies or examples of Ansible used in AIOps scenarios
    • Integration of Ansible with monitoring and alerting tools
  • Hands-On Exercise: Building an AIOps Pipeline
    • Participants work on creating a basic pipeline using Ansible
    • Automating a simple operational task relevant to AIOps
  • Wrap-Up and Q&A Session
    • Recap of key concepts and functionalities
    • Open floor for final questions and in-depth discussions
Infrastructure-as-code software tool: Terraform

Introduction to Terraform and Infrastructure as Code

  • Overview of Terraform
    • Introduction to Terraform and its role in infrastructure automation
    • Key features and benefits of using Terraform in AIOps
  • Terraform Basics
    • Understanding Terraform's syntax and structure
    • Core concepts: Providers, Resources, Variables, State
  • Setting Up Terraform
    • Installing Terraform
    • Basic setup and configuration
  • Q&A Session
    • Addressing initial queries and clarifications

Writing Terraform Configuration

  • Creating Your First Terraform Configuration
    • Writing a basic Terraform configuration file
    • Managing infrastructure as code
  • Understanding Terraform Workflow
    • The Terraform workflow: init, plan, apply, destroy
    • Hands-on demo of managing a simple infrastructure

Advanced Terraform Concepts

  • Modules and Remote State
    • Using modules to organize and reuse code
    • Managing state in complex environments
  • Dynamic Infrastructure with Terraform
    • Dynamic configurations with loops and conditionals
    • Integrating with cloud providers (AWS, Azure, GCP)

Terraform in AIOps and Practical Exercise

  • Terraform in an AIOps Context
    • Real-world use cases of Terraform in AIOps
    • Automating and maintaining AIOps infrastructure with Terraform
  • Hands-On Exercise: Implementing an AIOps Scenario
    • Participants implement a small-scale infrastructure setup relevant to AIOps
    • Practicing Terraform commands and configurations
  • Wrap-Up and Q&A Session
    • Recap of key concepts and best practices
    • Open floor for final questions and discussions on practical applications

CI/CD and Automation

Continuous integration tools: Jenkins

Introduction to Jenkins and Continuous Integration

  • Overview of Jenkins
    • Introduction to Jenkins and its importance in CI/CD pipelines
    • The role of Jenkins in AIOps
  • Jenkins Architecture and Key Concepts
    • Understanding Jenkins architecture: master, agents, plugins
    • Core concepts: Jobs, Builds, Plugins, Pipelines
  • Setting Up Jenkins
    • Installing and configuring Jenkins
    • Navigating the Jenkins interface
  • Q&A Session
    • Addressing initial queries and clarifications

Building Jobs and Basic Pipelines in Jenkins

  • Creating Your First Jenkins Job
    • Setting up a freestyle project
    • Configuring source code management (SCM), build triggers, and build steps
  • Introduction to Jenkins Pipelines
    • Creating a basic pipeline using Jenkinsfile
    • Pipeline syntax and scripted vs. declarative pipelines

Advanced Jenkins Usage and Integration

  • Automated Testing and Notifications
    • Integrating automated testing into Jenkins pipelines
    • Configuring build notifications (e.g., email, Slack)
  • Integrating Jenkins with Other Tools
    • Connecting Jenkins with version control systems (like Git)
    • Using Jenkins with containerization tools (like Docker)

Jenkins in AIOps and Practical Exercise

  • Jenkins in the Context of AIOps
    • Discussing the role of Jenkins in automated operations
    • Use cases of Jenkins in monitoring, alerting, and auto-remediation
  • Hands-On Exercise: Implementing a CI/CD Pipeline
    • Participants create a simple CI/CD pipeline relevant to AIOps
    • Emphasizing on automated deployment and testing
  • Wrap-Up and Q&A Session
    • Recap of key concepts and functionalities
    • Open floor for final questions and discussions
Runbook Automation Platform: Rundeck

Introduction to Rundeck and Runbook Automation

  • Overview of Rundeck
    • Introduction to Rundeck and its significance in AIOps
    • Understanding the role of runbook automation in IT operations
  • Rundeck Architecture and Key Features
    • Core components: Jobs, Nodes, Projects, Commands
    • Overview of Rundeck’s UI and basic navigation
  • Setting Up Rundeck
    • Installation and basic configuration
    • Setting up projects and access controls
  • Q&A Session
    • Addressing initial queries and clarifications

Creating and Managing Jobs in Rundeck

  • Defining and Executing Jobs
    • Creating your first job in Rundeck
    • Configuring job workflows, options, and scheduling
  • Advanced Job Features
    • Using job plugins for extended functionality
    • Handling job outputs and logs

Integrating Rundeck with Other Tools and Services

  • Rundeck Integrations
    • Integrating with version control systems (e.g., Git)
    • Connecting Rundeck with monitoring tools (e.g., Nagios, Splunk)
  • API and CLI Usage
    • Utilizing Rundeck’s API for automation
    • Command-line interface for Rundeck management

Rundeck in AIOps and Practical Exercise

  • Applying Rundeck in an AIOps Context
    • Case studies or examples of Rundeck used in AIOps scenarios
    • Automating routine operations and incident response
  • Hands-On Exercise: Implementing a Runbook Automation Scenario
    • Participants implement a basic runbook automation task relevant to AIOps
    • Emphasizing on automated problem resolution and reporting
  • Wrap-Up and Q&A Session
    • Recap of key concepts and functionalities
    • Open floor for final questions and discussions on practical applications

Twitter API Exercise Get tweets and post to Twitter AiOps

  • Twitter API introduction
  • Course Development Environment
  • Setup Local Server Nodejs NPM
  • Get Packages NPM
  • Setup Twitter Developer App
  • Output Tweet Object as JSON
  • Setup Index Frontend Code
  • Output Tweet Data
  • Make the tweets look nice Styling
  • Post a Tweet from index page
SL
Method of Training and Assesement
% of Weightage
1
Understanding the problems
5%
2
Concept Discussion
10%
3
Demo
25%
4
Lab & Exercise
50%
5
Assessments & Projects
10%

OUR COURSE IN COMPARISON

FEATURES DEVOPSSCHOOL OTHERS
Lifetime Technical Support
Lifetime LMS access
Interview Kit
Training Notes
Step by Step Web Based Tutorials
Training Slides
  • AiOps is considered one of the easiest scripting languages
  • AiOps is highly flexible whether it is during an ongoing project or after completing the project.
  • Gives Web Developer More Control
  • AiOps frameworks built-in feature and tools make it easier to protect the web applications from the outer attacks and security threats.
  • AiOps is also stable as compared to other programming languages. It has been in existence for a long time.
  • Understand AiOps concepts
  • You will learn to create clean URL's and remove the .AiOps from files
  • You will learn to use bootstrap by getting experience from the project
  • You will learn to debug your code
  • You will learn to create pagination
  • You will code refactoring
  • You will learn to debug (fix your code)
  • You will learn to use an API to bring data from a database to a graphical interface
  • There is so much more and my hands are just tired of typing :)
  • Have basic mathematic knowledge
  • Want to learn more about AiOps
  • Anyone can learn AiOps is easier language than any other language.

Need Assistance

Feel Free To Contact Us -
+1 (469) 756-6329
(USA Call-WhatApp)
+91 84094 92687
((India Call-WhatsApp))
For More Queries-
Contact@DevOpsSchool.com

AIOPS CERTIFICATION

What are the benefits of "AiOps" Certification?

Certifications always play a crucial role in any profession. You may find some AiOps professional's, who will tell you that certifications do not hold much value; This certification demonstrates an individual's ability to generate complex searches, reports, and dashboards with AiOps 's core software to get the most out of their data.


A AiOps Core Certified User can search, use fields, use look-ups, and create basic statistical reports and dashboards in the AiOps Enterprise or AiOps Cloud Platforms. This certification demonstrates an individual’s ability to navigate and use the AiOps Software.

FREQUENTLY ASKED QUESTIONS

To maintain the quality of our live sessions, we allow limited number of participants. Therefore, unfortunately live session demo cannot be possible without enrollment confirmation. But if you want to get familiar with our training methodology and process or trainer's teaching style, you can request a pre recorded Training videos before attending a live class.

Yes, after the training completion, participant will get one real-time scenario based project where they can impletement all their learnings and acquire real-world industry setup, skills, and practical knowledge which will help them to become industry-ready.

All our trainers, instructors and faculty members are highly qualified professionals from the Industry and have at least 10-15 yrs of relevant experience in various domains like IT, Agile, SCM, B&R, DevOps Training, Consulting and mentoring. All of them has gone through our selection process which includes profile screening, technical evaluation, and a training demo before they onboard to led our sessions.

No. But we help you to get prepared for the interviews and resume preparation as well. As there is a big demand for DevOps professionals, we help our participants to get ready for it by working on a real life projects and providing notifications through our "JOB updates" page and "Forum updates" where we update JOB requirements which we receive through emails/calls from different-different companies who are looking to hire trained professionals.

The system requirements include Windows / Mac / Linux PC, Minimum 2GB RAM and 20 GB HDD Storage with Windows/CentOS/Redhat/Ubuntu/Fedora.

All the Demo/Hands-on are to be executed by our trainers on DevOpsSchool's AWS cloud. We will provide you the step-wise guide to set up the LAB which will be used for doing the hands-on exercises, assignments, etc. Participants can practice by setting up the instances in AWS FREE tier account or they can use Virtual Machines (VMs) for practicals.

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Please email to contact@DevopsSchool.com

You will never lose any lecture at DevOpsSchool. There are two options available: You can view the class presentation, notes and class recordings that are available for online viewing 24x7 through our Learning management system (LMS). You can attend the missed session, in any other live batch or in the next batch within 3 months. Please note that, access to the learning materials (including class recordings, presentations, notes, step-bystep-guide etc.)will be available to our participants for lifetime.

Yes, Classroom training is available in Bangalore, Hyderabad, Chennai and Delhi location. Apart from these cities classroom session can be possible if the number of participants are 6 plus in that specific city.

Location of the training depends on the cities. You can refer this page for locations:- Contact

We use GoToMeeting platform to conduct our virtual sessions.

DevOpsSchool provides "DevOps Certified Professional (DCP)" certificte accredited by DevOpsCertificaiton.co which is industry recognized and does holds high value. Particiapant will be awarded with the certificate on the basis of projects, assignments and evaluation test which they will get within and after the training duration.

If you do not want to continue attend the session in that case we can not refund your money back. But, if you want to discontinue because of some genuine reason and wants to join back after some time then talk to our representative or drop an email for assistance.

Our fees are very competitive. Having said that if the participants are in a group then following discounts can be possible based on the discussion with representative
Two to Three students – 10% Flat discount
Four to Six Student – 15% Flat discount
Seven & More – 25% Flat Discount

If you are reaching to us that means you have a genuine need of this training, but if you feel that the training does not fit to your expectation level, You may share your feedback with trainer and try to resolve the concern. We have no refund policy once the training is confirmed.

You can know more about us on Web, Twitter, Facebook and linkedin and take your own decision. Also, you can email us to know more about us. We will call you back and help you more about the trusting DevOpsSchool for your online training.

If the transaction occurs through the website payment gateway, the participant will receive an invoice via email automatically. In rest options, participant can drop an email or contact to our representative for invoice

DEVOPS ONLINE TRAINING REVIEWS

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Abhinav Gupta, Pune

(5.0)

The training was very useful and interactive. Rajesh helped develop the confidence of all.

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Indrayani, India

(5.0)

Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.

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Ravi Daur , Noida

(5.0)

Good training session about basic Devops concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.

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Sumit Kulkarni, Software Engineer

(5.0)

Very well organized training, helped a lot to understand the DevOps concept and detailed related to various tools.Very helpful

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Vinayakumar, Project Manager, Bangalore

(5.0)

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.


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Abhinav Gupta, Pune

(5.0)

The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.

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Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.

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  DevOpsSchool is offering its industry recognized training and certifications programs for the professionals who are seeking to get certified for DevOps Certification, DevSecOps Certification, & SRE Certification. All these certification programs are designed for pursuing a higher quality education in the software domain and a job related to their field of study in information technology and security.


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