View Offers

 

 

 

Certified Generative AI in ITSM Program Overview

The Certified Generative AI in ITSM is designed for professionals with all the skills required to integrate AI technologies into IT Service Management Processes that transform traditional service operations. Our certification focuses on how Artificial Intelligence like GANs, Variational Autoencoders and Recurrent Neural Networks can successfully automate and optimize the different aspects of ITSM. It includes incident management, ticket routing and predictive maintenance.

This certification covers real-world applications such as anomaly detection, automated service desk solutions and resource forecasting that aim to enhance efficiency, decrease human error and improve service delivery. By leveraging Artificial Intelligence for proactive issue resolution, IT systems will be more adaptive and resilient. Our certification is ideal for IT managers, service desk professionals and AI specialists who want to stay ahead in the evolving field of ITSM through cutting-edge tools.

Accredited By
Accredited GSDC

What You Will Get:

  • Blended Digital Learning curated by SMEs
  • Every Friday Live Mentor Session (6PM to 8PM IST)
  • Global Certification Exam with 2 Attempts
  • Downloadable Resources: Case studies, templates, and the BOK
  • Capstone project
  • AI-based Interview Practice Exam

What Makes Our Program Unique?

Live Mentor Session

  • Every Friday 2 Hours.
  • Clarify your doubts.
  • Know about future career opportunities.

AI-Based Interview Practice Platform

  • Engage With Real Time AI Interview Questions.
  • Practice Questions Tailored with Your Expertise.
  • Validate your Knowledge of subject Matter.

Capstone Project

  • Apply Your Skills in Real World Scenario.
  • Learn Methodologies Aligned to Your Expertise.
  • Validate Skills and Knowledge Gained through the Certification.

Learning Outcome

After completion of the Generative AI in ITSM Certification, the participants will be able to:

  • Develop AI-driven systems to automatically route service tickets based on context..
  • Use AI modes to predict system failures.
  • Use AI-powered chatbots and virtual assistance to handle routine IT support tasks.
  • Practice the AI models to analyse the event logs and training ITSM.
  • Deploy AI-powered chatbots and virtual assistants to handle routine IT support tasks.

Program Deliverables

  • GSDC Official BOK ( Book of Knowledge)
  • Templates
  • AI-Based Interview Practice Platform
  • Capstone Project
  • Practice Exams
  • Lifetime Valid Certification Exam with 2 Attempts

Get Certified Now

Blended Learning Program

Fast-track your career by learning a new skill and earning a certificate

  • Two Exam Attempts
  • Lifetime Valid Certification
  • E-Learning Library Access
  • Downloadable Resources-Book of Knowledge,Templates
  • GSDC Membership
  • Live Mentor Session

Other Training Options

If Blended Learning doesn't suit you, other training options offered by NovelVista are as follows:

Buy Get

Buy 1 Get 1 Free offer

NovelVista Buy 1 Get 1 Combo Offer:

Register for Generative AI in Cybersecurity Program and Avail Buy 1 get 1 Course 100% free with Certification, Don't miss this offer get enrolled, get Certified - #HappyLearning

Course Curriculum

    • Fundamentals of Generative AI
    • Types of Generative AI models
    • Use cases of Generative AI in various industries
    • Key ITSM processes
    • ITSM best practices and frameworks
    • Challenges and opportunities in ITSM

    Service Desk:

    • Gen AI-powered chatbots for 24/7 support and self-service
    • Intelligent ticket routing and prioritization
    • Automated knowledge base article generation and Curation
    • Automate routine tasks, such as ticket updates and notifications
    • Analyze user sentiment in tickets and conversations to identify potential escalations
    • Provide personalized support and recommendations to improve user satisfaction

    Incident Management:

    • Employ Gen AI to accurately classify and categorize incidents based on their descriptions
    • Identify patterns in incident data to automatically prioritize incidents based on their impact and urgency
    • Leverage Gen AI to automatically suggest relevant knowledge articles or solutions
    • Deploy Gen AI-powered chatbots to provide self-service support to end-users
    • Leverage Gen AI to predict potential system failures or performance issues based on historical data.
    • Integrate with collaboration platforms to facilitate seamless communication and knowledge-sharing

    Problem Management:

    • Analyze historical incident and problem data to uncover recurring patterns and trends
    • Generate potential root cause hypotheses based on analyzed data and knowledge
    • Generate temporary workarounds to mitigate the impact of problems
    • Automate the creation of change requests to address the root cause of problems

    Change Management:

    • Simulate the impact of a change on the IT environment to identify potential conflicts or issues before implementation
    • Generate standardized change request templates based on the type of change
    • Automatically assess the potential impact of a change on other systems and services
    • Analyze failed changes to identify patterns and root causes
    • Leverage machine learning models to predict the likelihood of a change being successful
    • Provide recommendations to change implementers based on historical data and best practices

    Service Request Management:

    • Utilize NLP to understand and interpret user requests submitted in natural language
    • Identify the underlying intent of user requests
    • Automate routine request fulfillment tasks
    • Optimize resource allocation based on predicted demand and workload
    • Generate personalized responses and updates to users

    Configuration Management:

    • Gen AI-driven configuration item discovery, dependency mapping, and real-time updates
    • Automated configuration baseline management, change tracking, and version control
    • Predictive configuration drift analysis including drift detection, impact analysis, and proactive remediation
    • Gen AI-powered CMDB querying and reporting

    IT Asset Management:

    • Gen AI-powered asset discovery, asset classification, and inventory updates
    • Predictive asset maintenance and lifecycle optimization & management
    • Automated asset compliance and security audits for license management, vulnerability assessment, and policy enforcement
    • Gen AI-driven prediction for future asset needs based on historical usage patterns and business requirements

    Release Management:

    • Gen AI-assisted release planning and scheduling including dependency analysis, resource allocation, and risk assessment
    • Automate the deployment of software releases across different environments
    • Implement automated rollback procedures in case of issues or failures during deployment
    • Integrate AI with CI/CD pipelines to enable faster and more frequent releases
    • Predictive release risk assessment and impact analysis

    Deployment Management:

    • Leverage GenAI to automate deployment workflows, identify and manage dependencies, and integrate with configuration management
    • Real-time deployment monitoring and troubleshooting
    • Analyze failed deployments, risk evaluations, and deployment optimization

    Service Level Management:

    • Gen AI-driven service level agreement (SLA) monitoring, automated reporting, and data visualization
    • Predictive SLA breach analysis and prevention
    • AI-powered performance analysis, resource optimization, and SLA negotiation support

    Capacity Management:

    • Leverage Gen AI to analyze historical usage patterns, business trends, and other relevant factors
    • Build and simulate capacity models to predict the impact of different scenarios
    • Predictive capacity bottleneck analysis and remediation
    • Gen AI-powered capacity optimization recommendations

    Availability Management:

    • Gen AI-driven availability monitoring for collecting and analyzing potential availability issues and reporting
    • Utilizing ML models for anomaly detection and generating timely alerts and notifications to relevant stakeholders
    • Gen AI-powered recommended adjustments to allocate resources and optimize infrastructure design for availability and performance

    Demand Management:

    • Gen AI-driven demand forecasting and analysis to accurately predict future demand for IT services
    • Predictive demand pattern identification and management to prevent service disruptions, optimize resource utilization, and improve user satisfaction
    • AI-powered demand optimization recommendations

    Information Security Management:

    • Gen AI-powered threat detection and incident response
    • Automated security policy enforcement and compliance checks
    • Predictive security risk assessment and vulnerability management
    • Gen AI-driven security awareness and training

    Service Continuity Management:

    • Utilize Gen AI to analyze vast amounts of data from various sources to identify potential risks and their impact on business operations
    • Create and simulate various disruption scenarios using Gen AI
    • Automated disaster recovery planning and testing
    • Automate communication with stakeholders during a crisis

    Organizational Change Management:

    • Gen AI-powered change impact analysis to assess potential reactions and concerns
    • Generate personalized communication materials tailored to specific stakeholder groups
    • Develop Gen AI-powered surveys and assessments to gauge readiness for change
    • Generate personalized training content and recommendations based on learning styles and knowledge gaps
    • Create interactive and engaging training experiences using GenAI-powered gamification and simulations

    Stakeholder Management:

    • Gen AI-driven stakeholder sentiment analysis to identify potential issues and concerns
    • Generate personalized recommendations for stakeholder engagement
    • Automated relationship and supplier management workflows and communication
    • Predictive risk assessment and mitigation

    Continual Service Improvement:

    • Automatically discover and map ITSM processes based on logs, data, and user interactions
    • Analyze process flows to identify bottlenecks, inefficiencies, and areas for improvement
    • Track and analyze key performance indicators (KPIs) across various ITSM processes
    • Simulate the potential impact of proposed improvements on service performance, user experience, and other key metrics
    • Suggest improvement actions based on industry best practices, historical data, and AI-driven insights.

    Agile:

    • Applying Agile principles to ITSM processes
    • Leveraging Gen AI for process backlog prioritization and sprint planning thereby facilitating continual improvement

    DevOps:

    • Integrating development, operations, and security with AI
    • Gen AI-powered continuous integration and continuous delivery (CI/CD) pipelines

    SRE:

    • Implementing SRE principles for service reliability and resilience
    • Leveraging Gen AI for error budgeting and incident response automation
    • Identifying suitable Generative AI use cases and defining business objectives
    • Data preparation and model training strategies
    • Integrating Gen AI solutions with existing ITSM tools and platforms
    • Measuring the impact and ROI of Generative AI implementations
    • Data privacy and security concerns
    • Bias in Generative AI models and the need for transparency
    • Impact on IT jobs and the need for up-skilling
    • Ethical considerations in using Generative AI
    • Emerging trends and innovations in Generative AI
    • The evolving role of ITSM professionals in a Generative AI-powered environment
    • Integrating Gen AI solutions with existing ITSM tools and platforms
    • Measuring the impact and ROI of Generative AI implementations

Course Details

    • Learn how AI can enable automated IT processes to be applied in ticket routing, resource allocation, and service desk management. .
    • Learn how AI can be applied in real-time to predict and prevent failures before they happen.
    • How to utilize AI models for detecting anomalies within traffic in networks and system behaviour to support improved security and operational resilience.
    • Understand the process of deploying AI chatbots and virtual assistants to automate IT support and answer frequently asked questions instantly.

    If you are any one of the following, then you are on the right track to pursue Generative AI in ITSM Certification:

    • IT Professionals
    • Service Managers
    • AI Enthusiasts
    • Business Analysts

    There is no pre-requisite, but having relevant experience in the IT field can be beneficial

    As part of this course, you will be engaged in a variety of interesting processes that will enable you to apply your theoretical knowledge to real-world problems. With our innovative approach, engagement and enthusiasm will increase.

    • Training Sessions based on Storytelling.
    • Concept-Based Examples for Understanding.
    • Self-reflection with group conversation.
    • Case studies as applied ideas given.
    • Group and individual activities, and talks.
    • Summarized readings to be taken home after the training.

    Having the opportunity to learn from professionals with extensive experience is invaluable, and we all know that. The same learning experience will be offered to you. Our faculty has a strong industry A Generative AI Professional must have the experience to be successful. With over 7,000 professionals guided by them, you can be confident you're in good hands.

    Certified Generative AI in ITSM Exam Format:

    • Exam Time: 1 hour
    • Exam Format - Objective Type, Multiple Choice
    • Number of Questions: 40 (multiple-choice questions)
    • Passing Marks: 26 out of 40 (65%)
    • Certificate - Within 5 business days
    • Result - Immediately after the exam
    • Closed book
    • Enhanced Predictive Maintenance:The AI-based tool can monitor the system proactively, predict failures, and provide recommendations to the maintenance team.
    • Better Resource Management:AI can optimize resource utilization by forecasting demand and simulating various scenarios for more efficient utilization.
    • Improved speed and efficiency of the Service Desk Operation:AI-powered chatbots; and artificially intelligent responses enable quicker answers to customers' queries, keeping the customers satisfied.
    • Data-Driven Decision Making:AI is a business enabler that allows an organization to gain deeper insights through the analysis of data, thus making the IT organization more informed.
    • Anomaly Detection and Advanced Security:With the integration of AI, the system can predict anomalies in system performance or network traffic to its best, and IT teams can respond to potential security threats in time.
Register Now
 
 
 

Certified Generative AI in ITSM Exam Format

DevOps Practitioner Certification
  • Exam Format - Objective Type, Multiple Choice
  • Exam Duration - 1 Hour
  • No. of Questions - 40 (multiple-choice questions)
  • Passing marks: 26 out of 40 (65%)
  • Certificate - Within 5 business days
  • Result - Immediately after the exam
  • Complimentary Retake - Yes
  • Closed book

Would you still like more info about Certified Generative AI in ITSM?

Book a 10-15-minute Session with our Learning Advisor

Our Accreditations

Upskilling Professionals of Leading
Organizations Worldwide

accenture
atos
capgemini
cognizant
hcl
hp
ibm
infosys
mphasis
sungard
syntel
tcs
techm
veritas
wipro

Participants From

NovelVista has trained and certified professionals from all major organizations. Some of them are..

Participants Review

Frequently Asked Questions

The Generative AI in ITSM Certification covers how one can utilize generative AI technologies to enhance efficiency in IT Service Management (ITSM) processes. It details how AI can enable improved efficiency in service delivery, automate work tasks, augment the capacity for making better decisions, and assist innovative approaches to doing IT work.

It is recommended for IT professionals, service managers, and ITSM practitioners looking to deepen their skills in the application of AI technologies in the processes of their service management. It also suits the interest of someone looking to learn about developing knowledge of generative AI applications in IT.

Although there are no prerequisites for this course, you should be aware of having either an IT Service Management background or experience in IT operations. Basic familiarity with AI ideas would be helpful but not required.

You will understand how generative AI can be applied in ITSM processes to automate service tasks and enhance incident management and also the customer experience for service. The course will instruct you on applying AI for predictive analytics and proactive problem-solving.

The examination test should be in multiple-choice questions that test your understanding and how the concepts apply to generative AI in ITSM.

Request To CallBack

 
 
 
 
 

* Your personal details are for internal use only and will remain confidential.

 
 
 
 
 
 

Why Choose NovelVista?

As an Accredited Training Partner, We have gained recognition over the years in professional training certification in the IT industry such as ISO, PRINCE2, DevOps, PMP, Six Sigma, ITIL, and many other leading courses.

About Us

Our unique and well-designed learning program provides you with knowledge of the core components of the subject, which is introduced with the learning methods and combined expert-led generative AI training. The essentialness of unique and specialized attributes cannot be overstated, making Generative AI Cybersecurity Certification a pivotal asset. Contrasting with other certifications, our method of learning revolves around practical applications of Generative AI. This approach not only empowers you with the essential skills but also navigates the difficulties of AI technologies.

We are dedicated to fostering a community of talented professionals who have a common passion for Generative AI. This certification will provide you with a strong testament to your mastery, improving skills in AI and underscoring its relevance in today’s contemporary marketplace. Whether it’s implementing lifelike synthetic media or pioneering novel solutions, this Generative AI Cybersecurity Certification is not just the recognition of your expertise but the gateway to contributing meaningfully to the constantly evolving realm of AI.