Advanced Artificial Intelligence in ServiceNow
Advanced Artificial Intelligence in ServiceNow enhances the platform’s capabilities by leveraging machine learning and AI-driven automation to streamline workflows, improve decision-making, and optimize service delivery. It includes predictive intelligence, natural language understanding (NLU), and virtual agents that assist in automating repetitive tasks, providing insights, and improving the user experience by resolving issues faster and more accurately. These AI features help organizations increase efficiency, reduce operational costs, and improve customer and employee satisfaction.
Advanced Artificial Intelligence in ServiceNow
IT Training Programme
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What you'll learn
Programme Overview
9 sections covering the complete curriculum — a single, progressive learning arc.
Foundations & Core Concepts
Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.
Hands-On Practical Training
Work through real exercises and assignments designed to mirror what you will do on the job.
Real-World Projects
Apply what you have learned to end-to-end projects that go straight into your portfolio.
Advanced Techniques
Go beyond the basics with advanced concepts, integrations and production-grade practices.
Ecosystem Integration
Understand how this technology connects with the broader tools and platforms used in the industry.
Performance & Interview Prep
Master optimization techniques and prepare for the technical interview questions employers actually ask.
Who is this programme for?
Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a SERVICENOW role.
Software Developers
Engineers who want to add this skill set to their toolkit
Analysts & Consultants
Professionals moving into a more technical, hands-on role
IT Professionals
System admins and support engineers upskilling into a new domain
Fresh Graduates
CS/IT graduates aiming for a job-ready technical role
Course Curriculum
9 sections • 32 lessons • 40 hours
Jump to Section
Total Duration
40 hours
100% Practical · Unlimited Doubt Sessions
01 Module 1: Introduction to AI in ServiceNow
Understanding AI in ServiceNow:
Key AI Features:
Virtual Agent: Automating user interactions and support.
Predictive Intelligence: Using machine learning to predict incidents and automate categorization.
Natural Language Processing (NLP): Enhancing user experience through conversational interfaces.
02 Module 2: Prompt Engineering for AI Tools
Crafting Effective Prompts:
Mastering Prompts for ServiceNow:
03 Module 3: Integrating AI Tools with ServiceNow
Integration Techniques:
Practical Use Cases:
04 Module 4: AI for Coding and Debugging in ServiceNow
AI-Assisted Development:
Debugging with AI:
05 Module 5: Enhancing Personal Branding and Career Development with AI
Optimizing Your LinkedIn Profile:
AI for Interview Preparation:
06 Module 6: Content Creation and Management with AI
AI Tools for Knowledge Management:
Image and Media Generation:
07 Module 7: Mastery of Productivity Tools in ServiceNow
Excel and Data Analysis:
PowerPoint Presentations:
08 Module 8: Continuous Learning and Community Engagement
Staying Updated with AI Tools:
Workshops and Live Support:
09 Module 9: Advanced Keyboard Shortcuts and Efficiency Techniques
Keyboard Shortcuts Mastery:
Tools & Technologies
Every tool listed here is installed, configured and used in a hands-on lab session.
Hands-On Labs
Practical Environment
Industry-Standard Tools
Real-World Setup
Guided Exercises
Skill Building
Sample Datasets
Practice Material
Mini Projects
Applied Practice
Assignments
Mentor Reviewed
Doubt Sessions
Live Support
Resume Building
Career Support
Mock Interviews
Interview Prep
Certification Prep
Global Recognition
Production Practices
Real-World Ready
Best Practices
Industry Standards
You don't just learn Advanced Artificial Intelligence in ServiceNow. You ship it.
Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.
Guided Foundation Project
→Requirement Analysis
→Guided Implementation
→Mentor Review
→Iteration
Apply the fundamentals in a structured, mentor-reviewed project
Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.
Applied Practice Project
→Scenario Design
→Independent Build
→Testing & Validation
→Peer Review
Build a more independent project mirroring real production scenarios
Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.
Capstone Project
→Planning
→End-to-End Build
→Review & Refinement
→Presentation
Take a project from requirements to a polished, portfolio-ready deliverable
Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.
All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.
See Sample Project ReportsUpcoming Batches
Why Radical Technologies
- Highly practical oriented training
- Installation support on your system
- 24/7 Email and Phone support
- 100% Placement Assistance
- Global Certification Preparation
- Trainer-Student Interactive Portal
- Assignments and Projects by Mentors
- Weekend / Weekdays / Morning / Evening batches
- 80:20 Practical and Theory ratio
- Real-life Case Studies
- Easy make-up for missed sessions
- PSI | Kryterion | Redhat Test Centers
- Lifetime Video Classroom Access (coming soon)
- Resume Prep and Mock Interviews
- Learn 300+ courses at your own time
- 50,000+ Satisfied Learners
- Course Completion Certificate
- Practical Labs available
- Mentor Support available
- Doubt Clearing Session available
- 10% Discounted Global Certification
Like the Curriculum? Let's Get Started
Join 50,000+ students already enrolled at Radical Technologies
Global Certification
Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.
Career Services
At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.
Career Support
Join our Brush-up Session & get support until you find a job!
Get StartedRadical Learning Eco-System
Exam Simulator
Cloud SandBox
Hands-on Cloud Lab
Developer Coding Ground
Student Reviews
Course Rating
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Advanced Artificial Intelligence in ServiceNow Interview Questions
10 questions commonly asked in Advanced Artificial Intelligence in ServiceNow interviews.
- 01 Can you explain the process of troubleshooting a server that is not booting up on Red Hat Linux? What steps would you take to identify and resolve the issue?
- 02 How do you manage and configure SELinux in a Red Hat environment? Can you provide an example of a situation where you had to modify SELinux policies to enable a service?
- 03 Describe the process of patch management in Red Hat Linux. How do you ensure that your systems are up to date and secure without causing disruptions to services?
- 04 What are the key differences between ext4 and XFS file systems in Red Hat Linux? In what scenarios would you choose one over the other?
- 05 How do you set up and manage logical volume management (LVM) in Red Hat Linux? Can you walk us through the process of extending a logical volume without downtime?
- 06 How do you automate repetitive tasks in Red Hat Linux? Can you provide examples of scripts or tools you have used to streamline system administration tasks?
- 07 Can you describe a scenario where you had to configure a high-availability cluster using Red Hat Cluster Suite? What challenges did you face, and how did you overcome them?
- 08 How do you secure a Red Hat Linux server? Discuss the various security measures and best practices you follow, including firewall configuration and user management.
- 09 Explain the process of creating and managing network bonds in Red Hat Linux. What are the advantages of using network bonding, and how do you troubleshoot bonding issues?
- 10 Explain the role of systemd in Red Hat Linux. How do you troubleshoot and manage services using systemd?
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Advanced Artificial Intelligence in ServiceNow
IT Training Programme
100% placement assistance