SB
Spandana Bala
ServiceNow Developer
Hyderabad · India
Now at · Infosys
ServiceNow · CSA · CAD · Now Assist & AI Agents · Zurich-aligned · Enrolling now
ServiceNow Forward Deployed AI Engineer
A career-focused, hands-on program: master customer-embedded AI delivery on the ServiceNow AI Platform — scope the mission, build Now Assist skills and AI agents in AI Agent Studio, connect them through AI Agent Fabric, MCP and Workflow Data Fabric, and ship to production with AI Control Tower governance, evaluation evidence and rollback plans.
100K+
alumni community
1,000+
hiring partners
4.8/5
avg class rating
12
partner centres
7
Edify Nuva centres
Where our ServiceNow alumni work
Microsoft
Amazon
Salesforce
ServiceNow
Deloitte
Infosys
Accenture
TCS
Wipro
Capgemini
Cognizant
HCL
MicrosoftAmazonSalesforceServiceNowDeloitteInfosysAccentureTCSWiproCapgeminiCognizantHCL
Direct answer
What does a ServiceNow Forward Deployed AI Engineer do?
They embed with the customer and own the AI build end to end: scope the mission with sponsors, design against ServiceNow best practice, build Now Assist skills and AI agents in AI Agent Studio, connect them to the customer's data and third-party agents through Workflow Data Fabric, AI Agent Fabric and MCP, and launch to production under AI Control Tower with evaluation evidence and rollback plans. Most AI courses stop at demos. This program ends only when you can ship an AI solution a customer runs in production — and prove it is safe, governed and paying back.
The complete delivery chain
Twelve links, one owner — end to end.
01DISCOVER & VISION-LOCK
- •Sponsor, stakeholder & process discovery
- •AI use-case scoring & Assist-unit economics
- •As-is / to-be process maps & data readiness
- •Guardrails, success metrics & acceptance criteria
02BUILD & CONNECT
- •Now Assist skills & prompt design
- •AI agents, tools & orchestration in AI Agent Studio
- •Workflow Data Fabric, IntegrationHub & MCP
- •AI Agent Fabric & third-party agent interoperability
03EVALUATE & LAUNCH
- •Evaluation sets, red-teaming & Now Assist Guardian
- •AI Control Tower registration & policies
- •Update sets, pipelines, rollback & go-live
- •Adoption, value dashboards & 90-day review
AI in ServiceNow · Zurich · 2026
The platform went agentic. Someone has to ship it in production.
Now Assist & Now LLMGenerative AI layer
Summarization, resolution notes, knowledge drafting, AI Search and Now Assist Skill Kit across ITSM, HRSD, CSM, SecOps and Creator — metered in Assist units and protected by Now Assist Guardian.
AI Agent Studio & AI Agent OrchestratorAgentic AI
Build agents that plan multi-step work — triage, remediate, escalate, close — with tools, triggers, memory and orchestration across agent teams. Production-grade since the Zurich release.
AI Agent Fabric & MCPNew '26
Connect ServiceNow agents with third-party agents from Microsoft, Google, Anthropic, NVIDIA and partners; external agents call governed ServiceNow actions through the MCP server and use MCP tools built on the platform.
AI Control TowerGovernance layer
Central inventory, risk and compliance, value metrics and performance indicators for every AI asset — ServiceNow and third-party — the layer customers audit forward deployed engineers against.
Workflow Data Fabric & RaptorDBGoverned context
Zero-copy connections to Snowflake, Databricks, BigQuery and enterprise sources on RaptorDB, plus data.world governance — the grounding that decides whether agents act on the truth.
Build Agent, Otto & Autonomous WorkforceVibe building
Describe an app or workflow and the platform designs, builds and governs it; Otto and the Autonomous Workforce push work from assistive to autonomous. Engineers shift to specifying, reviewing and hardening.
What this means for your career: every AI rollout now needs someone who can select the use case, build the agent, wire the data and interoperability, and prove it safe under AI Control Tower — forward deployed AI engineers who speak Now Assist, AI Agent Studio, Agent Fabric and MCP fluently command a premium over process-only and admin-only profiles.
Who should join
Built for people moving into customer-embedded AI delivery.
ServiceNow developers & admins moving into AI
Integration & automation engineers
Software engineers targeting FDE / Applied AI roles
ITSM consultants & solution consultants
Data & ML engineers entering enterprise workflow
Now Assist practitioners going hands-on with agents
Prior experience: basic programming or ServiceNow admin experience helps. The program builds platform, scripting and ITSM foundations before AI Agent Studio, Agent Fabric and production delivery.
What you will be able to do
Build the agent — and ship it in the customer's production.
Scope & vision-lock AI missionsDiscovery, use-case scoring, Assist-unit economics, guardrails and acceptance criteria with sponsors.
Build Now Assist skillsSkill Kit, prompt design, Now LLM and bring-your-own-model choices, Now Assist Guardian.
Build & orchestrate AI agentsAI Agent Studio — agents, tools, triggers, memory and multi-agent orchestration.
Connect data & agentsWorkflow Data Fabric, IntegrationHub, REST/Scripted APIs, AI Agent Fabric and MCP servers.
Evaluate & governEvaluation sets, red-teaming, observability and AI Control Tower registration and policy.
Launch & prove valueUpdate sets, pipelines, rollback plans, adoption and value dashboards for the 90-day review.
Course curriculum
Twelve sections. 48 modules. Platform → Now Assist → AI Agents → Fabric & MCP → Production.
01
ServiceNow AI Platform & the 2026 Stack
What the ServiceNow AI Platform is after the Zurich release, how it differs from a ticketing tool, and where the forward deployed AI engineer works in it.
SaaS, PaaS and enterprise workflow platforms
Now Platform architecture and the current capability map
Workflows — Technology, Employee, Customer, Creator and Industry
Release cadence, Store apps and entitlement awareness
Now Assist and Now LLM — the generative layer
AI Agent Studio, Orchestrator and the Autonomous Workforce
AI Agent Fabric, MCP and Workflow Data Fabric
AI Control Tower and Now Assist Guardian — the governance layer
Personal Developer Instance setup and Now Assist / Agent Studio plugins
Customer instance stacks — dev, test, prod and clones
Production-shaped lab data and separation of duties
Navigating Zurich: Next Experience, workspaces and Studio
FDE vs developer vs consultant vs architect
Customer-embedded delivery and mission ownership
Working with sponsors, platform owners and partner teams
Career path and the certification map — CSA, CAD, Now Assist, AI agents
02
Platform Administration Essentials
The configuration every AI solution inherits — tables, forms, security and data.
Tables, extensions and dictionary
Forms, form designer, UI policies and client scripts (overview)
Lists, filters and reference fields
Task table hierarchy and CMDB basics
Users, groups and roles
Access control rules and evaluation order
Scoped applications and cross-scope access
Security implications for agents and Now Assist
Import sets and transform maps
Coalescing and data sources
Data quality and stewardship for AI grounding
Performance Analytics and reporting basics
Update sets and application scope
Moving configuration between instances
Upgrade readiness and Instance Scan
Documentation and change discipline
03
Scripting & Flow Designer
Enough code to build tools agents call and to review what the platform generates.
ES modules and ECMAScript 2021 mode
GlideRecord, GlideSystem and GlideAjax
Client vs server scripting
Debugging and logging
Business rules and execution order
Script includes and reusable APIs
Scheduled jobs and events
Performance and best practice
Flows, subflows and actions
IntegrationHub spokes and REST steps
Decision tables and error handling
Flows as tools for AI agents
Build Agent — describing apps and flows in natural language
Now Assist for Creator — code generation and explanation
Reviewing, hardening and testing generated artefacts
Guardrails for AI-assisted development
04
ITSM Process Foundations
The domain most AI use cases live in — know the processes before you automate them.
Incident lifecycle, assignment and major incident
Problem management and known errors
Change models, CAB and risk assessment
ITIL 4 alignment
Service catalog, items and variables
Request fulfilment and approvals
Knowledge management and article lifecycle
Employee Center and portals
CMDB and CSDM basics
SLA definitions and Performance Analytics
Service Operations Workspace and agent workspaces
Where Now Assist and agents plug in
Now Create phases and deliverables
Vision-lock and success criteria
OOB-first design decisions
Partner delivery models
05
Now Assist & Generative AI Skills
Configure, extend and build Now Assist skills with the right model and the right guardrails.
Now Assist for ITSM, HRSD, CSM, SecOps and Creator
Summarization, resolution notes, knowledge drafting
AI Search and Now Assist in Virtual Agent
Assist units and consumption
Now LLM service and domain-specific models
Bring-your-own-model — Azure OpenAI, Google, Anthropic and others
Model choice, latency, cost and data residency
Generative AI Controller
Creating custom skills with Skill Kit
Prompt engineering, grounding and output schemas
Testing skills with sample data
Publishing and versioning skills
Prompt injection and offensiveness protection
Data masking and sensitive data handling
Responsible AI principles applied to skills
Documenting controls for AI Control Tower
06
AI Agent Studio & Orchestration
Build agents that do real work — with tools, triggers, memory and teams.
Agents vs skills vs flows — when to use each
Agent anatomy — role, instructions, tools, triggers
Planning, reasoning and memory
Human-in-the-loop patterns
Creating agents and defining instructions
Tools — flows, scripts, record operations, web APIs
Triggers and conversational entry points
Testing and tracing in Studio
AI Agent Orchestrator and agent teams
Task decomposition and handoffs
Use-case libraries and out-of-the-box agents
Failure handling and fallbacks
Otto and the assistive-to-autonomous spectrum
Autonomous Workforce concepts and controls
Employee and customer experiences with agents
Designing for trust and adoption
Triage and categorisation agents
Remediation and self-healing agents
Change risk and knowledge agents
Escalation and closure patterns
07
Data, Integrations & Workflow Data Fabric
Ground agents in the truth and connect them to the customer's estate.
Workflow Data Fabric architecture on RaptorDB
Zero-copy connectors — Snowflake, Databricks, BigQuery
data.world governance and catalog
Grounding agents in federated data
Inbound REST and Scripted REST APIs
Outbound REST, credentials and MID Server
IntegrationHub spokes and custom spokes
Error handling and observability
AI Search configuration and indexing
Knowledge grounding for Now Assist and agents
Document intelligence
Measuring retrieval quality
Event-driven and API-led patterns
Integrating with ITOM, SecOps and HR systems
Identity, SSO and API security
Testing integrations end to end
08
AI Agent Fabric, MCP & Interoperability
Make ServiceNow agents work with everyone else's — safely.
AI Agent Fabric architecture and partners — Microsoft, Google, Anthropic, NVIDIA
Registering and connecting third-party agents
Agent-to-agent protocols and A2A
Governance across agent boundaries
ServiceNow MCP server — exposing governed actions
Building MCP tools from flows and APIs
Consuming external MCP servers from ServiceNow agents
Security, scopes and auditing MCP calls
Claude Code, GitHub Copilot and Cursor with the MCP server
Microsoft Copilot and Google Agentspace interoperability
Guardrails for external agents acting on ServiceNow
Developer productivity patterns
ServiceNow + Salesforce Agentforce handoffs
ServiceNow + Workday employee journeys
ITSM + SecOps + ITOM multi-agent flows
Designing shared value metrics
09
Evaluation, Testing & Observability
Prove it works before the customer finds out it does not.
Golden datasets and evaluation sets
Accuracy, safety, latency and cost metrics
Offline vs online evaluation
Acceptance criteria for skills and agents
Prompt injection and jailbreak testing
Data leakage and permission bypass tests
Bias and harmful output checks
Documenting findings and fixes
Automated Test Framework for platform changes
Regression testing agents across releases
Test data management
Release gates
Agent traces, logs and analytics
Assist-unit consumption monitoring
Performance Analytics for AI KPIs
Alerting and incident response for AI
10
AI Control Tower & Governance
The layer customers audit against — learn the controls and the evidence.
AI asset inventory — ServiceNow and third-party
Risk, compliance and policy management
Value and performance metrics
Workflows for approvals and exceptions
EU AI Act, NIST AI RMF and ISO 42001 basics
Integrated Risk Management for AI
Data privacy and residency
Audit evidence packs
Securing agents, tools and credentials
Vault, secrets and least privilege
SecOps integration for AI incidents
Access reviews for non-human identities
AI governance board and decision rights
Policies for building and buying agents
Working with the platform owner and CoE
Reporting to leadership
11
Forward Deployed Delivery — Vision-Lock to Production
The engagement model — how you embed, deliver and hand over.
Sponsor and stakeholder discovery
AI readiness assessment and use-case scoring
Assist-unit economics and business case
Vision-lock document and success metrics
Epics, stories and acceptance criteria for AI features
Sprint planning and WSJF prioritisation
UAT design for agents
Demo and feedback loops
Update sets, app repo and pipelines
Feature flags and staged rollouts
Rollback plans and hypercare
Go-live communications and training
Adoption metrics and OCM
Value dashboards and KPIs
90-day review and next-wave backlog
Handover to run teams
12
Capstone, Certifications & Career
One customer-embedded AI mission, shipped to a production-shaped instance with evidence.
Vision-lock pack with use-case scoring and guardrails
Now Assist skills and multi-agent solution in AI Agent Studio grounded via Workflow Data Fabric
MCP exposure to an external coding agent and Agent Fabric interoperability
Evaluation, red-team results, AI Control Tower registration and a value dashboard with a public verification URL
Certified System Administrator (CSA)
Certified Application Developer (CAD)
Now Assist and AI Agents micro-certifications
ITSM Implementation Specialist (stretch)
Portfolio of agents, evaluations and delivery artefacts
Resume rewrite around shipped AI outcomes
FDE and Applied AI interview practice
Warm introductions to ServiceNow Elite Partners
Tools you'll master
The FDE toolkit, one real engagement.
Real-time projects
You don't watch videos. You run engagements.
Three full-production projects, each threaded through the entire curriculum. By the project, you've built the whole stack around them.
Hero project
ITSM implementation blueprint
Run a full Now Create engagement on a live scenario — discovery workshops, as-is/to-be BPMN maps, OOB-first design decisions, prioritized story backlog and a findings deck you present and defend.
Now CreateBPMNProcess WorkshopITSM
Enterprise
AI use-case portfolio & Now Assist rollout
Assess AI readiness, score and prioritize candidate use cases with Assist-unit economics, and specify a Now Assist rollout — guardrails, acceptance tests and value metrics — as a governed product decision.
Now AssistAI ReadinessBusiness CaseGuardrails
AI delivery
Backlog to go-live as Forward Deployed AI Engineer
Own a release end to end — prioritized backlog with WSJF, sprint and UAT plan, acceptance evidence against criteria, go-live communications and a value dashboard for the 90-day review.
BacklogUATReleaseValue Dashboard
Project
Your implementation engagement in a controlled project environment.
Pick a real partner workflow. Run the engagement end to end — workshops, to-be design, backlog, UAT and a governed Now Assist rollout plan — and defend it before a review panel.
Download the real world project
Full scope, sample deployment contexts, project milestones, and grading rubric — PDF, 14 pages.
Production-style capstoneCareer support included
Your instructor
Taught by engineers who shipped agentic AI to production.
MK
Manikanta Kona
Founder, Edify Nuva · Enterprise AI Architect
ServiceNow · Now Assist · AI Agent Studio · ITSM / ITOM / HRSD / CSM
"ServiceNow at enterprise scale is where AI agents earn their keep — Now Assist plugged into the Service Desk, AI Agent Studio orchestrating ITSM, ITOM, HRSD, and CSM as one fabric. That's the bar I teach to, every class."
15 yrs
SERVICENOW
2,400+
LEARNERS
4.8 /5
RATING
Manikanta is the founder of Edify Nuva and brings 15 years of enterprise platform architecture from AT&T, Salesforce, Cox Communications, and Broadcom — where he led ITSM, ITOM, HRSD, and CSM rollouts for Fortune-500 banks, telcos, and insurers. Most recently he architected production Now Assist + AI Agent Studio deployments that replaced traditional triage tiers with autonomous case-handling.
His classes get you two things other programs don't give you: a founding architect who's shipped enterprise ServiceNow + AI from inside the Fortune 500, and a curriculum rewritten every release (currently Zurich) — so when hiring managers ask about CMDB Workspaces, AI Agent Studio sub-flows, or ITOM Visibility, you've already built it. M.S. in Engineering, Purdue University.
RK
Ravi Krishna
Chief Technologist, Edify Nuva · Implementation & Delivery Lead
Now Create · Process Workshops · ITSM · UAT · CMDB · Delivery Governance
"Implementations don't fail in configuration — they fail in discovery. Workshops that
surface the real process, requirements developers build without rework, and UAT that proves it: that's
what I teach."
10 yrs
IMPLEMENTATION & DELIVERY
1,800+
LEARNERS
4.8 /5
RATING
Ravi is Chief Technologist at Edify Nuva, where he leads the implementation and delivery practice. After years running enterprise ServiceNow programs, he now teaches the consultant's craft — Now Create engagements run phase by phase, process workshops that get to real decisions, and UAT that stands up in front of a steering committee.
His delivery modules are built from real engagement post-mortems, not slide decks. Expect to leave with working workshop kits, requirement and UAT templates, and a delivery-governance playbook you can run on day one.
HIRING PARTNERS · INDUSTRY VOICES
What ServiceNow employers say about Edify Nuva grads.
Real feedback from talent leaders at ServiceNow Elite Partners and the firms hiring our ServiceNow + AI Agents graduates.
Edify Nuva grads ramp 40% faster on Now Assist projects than typical hires. Best ServiceNow training pipeline in India.
Aakash Mehta, Partner Programme Lead, ServiceNow
We've onboarded 80+ Edify Nuva alumni in 18 months. Lowest ramp time we've seen for ServiceNow plus AI agent practices.
Anita Sharma, Senior Manager, Deloitte
The ServiceNow programme is comprehensive — admin, developer, plus AI agent flows. Grads come pre-trained for enterprise.
Rahul Bhatt, Solutions Lead, Mphasis
Their ITSM + Now Assist track produces engineers who write production-grade Flow Designer flows on day one. Genuinely rare.
Deepak Pillai, Senior Architect, TCS
What sets Edify Nuva apart is the AI Agent Studio layer baked into the ServiceNow track. Our enterprise clients ask for exactly this profile.
Suresh Menon, Practice Lead, Accenture
Their CSA + CIS prep is rigorous, and the implementation capstone with real workshop artifacts is what closes interviews for us.
Vikram Iyer, Director, Infosys
Edify Nuva's ServiceNow grads close incidents twice as fast in the first 90 days. Our internal metrics back this up clearly.
Lakshmi Nair, VP Engineering, Wipro
Best ServiceNow + AI Agents pipeline we've sourced from in India. Their projects are production work, not toy code.
Karthik Subramanian, Engineering Director, Cognizant
Strong HRSD and Employee Center foundation. Their ServiceNow grads need almost zero ramp time on enterprise engagements with us.
Arun Joshi, Practice Director, Capgemini
We've placed 40+ Edify Nuva alumni across our ServiceNow and watsonx-on-Now teams. Strong fundamentals, sharp on the agent stack.
Sanjay Verma, Talent Director, IBM
ITOM + Predictive Intelligence is exactly the talent gap we've been struggling to close. Edify Nuva is filling it for us reliably.
Anjali Desai, Practice Head, LTIMindtree
Their ServiceNow track delivers consultants who navigate ITSM, IntegrationHub, and Flow Designer on customer engagements unsupervised.
Ramesh Iyer, Senior Manager, Tech Mahindra
Hired 25+ Edify Nuva graduates for our ServiceNow practice. Strong scripting, strong platform depth, sharp on the agent layer.
Geetha Pillai, Talent Acquisition Lead, Cyient
Edify Nuva grads who blend Now Assist with Azure OpenAI land production-ready on day one. Rare combination, well-trained.
Priya Reddy, Talent Lead, Microsoft
Program certifications
An Agent‑Ready credential, not a participation trophy.
Edify Nuva · Institute Certificate
Agent‑Ready ServiceNow Engineer
Presented to
Spandana Bala
For successfully running an end-to-end implementation engagement — discovery, process design, backlog, UAT and a governed AI rollout plan — on the
ServiceNow Now Assist + AI Agent Studio platform, evaluated against the 2026 Agent‑Ready rubric and
CSA, CAD and Now Assist competencies.
Manikanta Kona
CEO · Edify Nuva
AGENT
READY
2026
READY
2026
01
Industry‑recognized
Co‑branded with the ServiceNow Elite Partner ecosystem and mapped to CSA, CAD and the Now Assist / AI Agent Studio skill path —
names that hiring managers already scan for on resumes.
02
Project artifact included
Every certificate carries your project project name, the partner org, and a link to the
deployed Now Assist + AI Agent Studio artifact — proof, not a promise.
03
Enhanced skill validation
Graded against the 2026 Agent‑Ready rubric: ITSM design, Flow Designer build, Now Assist
deployment, safety and monitoring. No pass/fail — a level 1‑5 band.
04
Verifiable on a public URL
Each credential has a public verification page recruiters can check in 10 seconds — no PDF
back‑and‑forth.
Job roles
Roles this program prepares you for.
Forward Deployed AI Engineer (ServiceNow)
Embed with customers to design, build and ship governed AI solutions.
AI Agent Engineer (Now Platform)
Build, evaluate and tune agents, tools and orchestration in AI Agent Studio.
Now Assist Developer / Specialist
Configure and extend Now Assist skills with Skill Kit and Now LLM.
ServiceNow AI Solution Consultant
Run Now Create AI engagements from vision-lock to production launch.
ServiceNow Integration & MCP Engineer
Workflow Data Fabric, IntegrationHub, MCP server and Agent Fabric connectivity.
AI Governance & Control Tower Specialist
Own AI inventory, policy, evaluation evidence and compliance.
ServiceNow Developer (AI-native)
Platform development with Build Agent and AI-assisted tooling.
Applied AI / GenAI Solutions Engineer
Integrate LLM and agent capabilities into enterprise workflows safely.
ServiceNow Technical Consultant
Deliver ITSM and AI configuration for partner engagements.
AI Solution Architect (career path)
Grow toward architecting multi-agent, multi-platform solutions.
What employers should see in your portfolio: that you can take an AI mission from vision-lock to production — score the use case, build Now Assist skills and agents, ground them in the customer's data, connect them through Agent Fabric and MCP, evaluate and red-team them, register them in AI Control Tower, and prove value at the 90-day review.
Job placement support
Your first ServiceNow offer isn't a lottery ticket. It's a built process.
GitHub, LinkedIn, resume — and most importantly, warm intros into ServiceNow Elite Partners. Our
placement team works your search like an account, not a helpdesk.
01 / PORTFOLIO
A portfolio, not a graveyard.
Guidance on assembling a consulting portfolio — process maps, workshop artifacts, backlog and UAT evidence, and your AI rollout plan — reviewed 1:1, not via template.
02 / RESUME PREP
Rewrite, don't proofread.
A one-page resume rebuilt around the ServiceNow modules you implemented, the agent you deployed, and the business outcome. Reviewed by engineers who've read 10,000+ resumes.
03 / LINKEDIN + INTROS
Where most opportunities actually live.
Profile tuning plus direct warm introductions into the ServiceNow Elite Partner network — Infosys, TCS, Deloitte, Accenture, Cognizant, NTT Data, Capgemini. You leave with recruiter contacts, not a generic "good luck."
ServiceNow alumni
Hundreds of ServiceNow careers launched — here are eight.
NV
Naveen Vedala
ITSM Consultant
Hyderabad · India
Now at · TCS
TA
Tejashwini Addla
HRSD Specialist
Hyderabad · India
Now at · Deloitte
TD
Tharunesh Dillikar
ServiceNow Architect
Seattle · United States
Now at · ServiceNow
MM
Mujahed Mohammed
Lead ServiceNow Engineer
Hyderabad · India
Now at · Accenture
BK
Bhargav Kumar Murala
Now Assist Developer
Hyderabad · India
Now at · Capgemini
SL
Sai Manasa Leburi
ITOM Engineer
New York · United States
Now at · NTT Data
RD
Rahul Dhamma
AI Agent Studio Engineer
Hyderabad · India
Now at · Cognizant
Our locations
Come chat with us — over coffee, or over Zoom.
One flagship campus in Hyderabad, plus online ServiceNow classes running on Indian and US timezones.
Flagship campus
Hyderabad
2nd Floor, Hitech City Road · Above Domino's · Opp. Cyber Towers, Jai Hind Enclave ·
Hyderabad, Telangana
Call
+91 8142998866
US desk
+1 256 388 7766
Hours
Mon–Sun · 7 AM–9 PM
Online class
Global
Weekend and evening ServiceNow classes running on IST and PST. Every online class ships
the same three production projects and Now Assist + AI Agent Studio project as the on‑campus track.
Timezones
IST & PST
Format
Live + 1:1 mentorship
Admissions
ENROLLING NOW
FAQ
Questions we actually get — answered honestly.
Straight answers on prerequisites, the platform, certifications, and placement. If something's missing, book a 20-minute advisor call — no slides, no pitch.
Do I need a CS background or prior ServiceNow experience?
No on both counts. Roughly 40% of every class comes from non-CS streams — mechanical, electrical, BCom, BBA — and zero ServiceNow exposure is assumed. The opening modules cover the platform model, tables, and GlideScript from scratch. What you do need is consistency and regular practice.
Do I get a real ServiceNow developer instance to work on?
Yes. Every learner provisions a free Personal Developer Instance (PDI) from the start and keeps it for the full program. Every lab, project, and the project are built on your own live tenant — not a sandbox simulator — so the artifacts you ship are demonstrable to recruiters.
Which ServiceNow modules and AI tools will I actually build with?
Core: ITSM, Service Portal, IntegrationHub, Flow Designer. AI track: Now Assist (case summaries, work-note generation, code assist), AI Agent Studio for agentic flows, Predictive Intelligence for classification, and Virtual Agent for conversational intake.
Will I be ready for CSA, CAD and Now Assist certifications?
Yes. The curriculum is mapped to CSA, CAD, CIS-ITSM, and the Now Assist / AI Agent Studio skill paths — with the AI-delivery sections built on the domains employers assess for FDE roles (build, tuning, guardrails, launch). Note ServiceNow now requires CIS-Data Foundations before CIS-ITSM; we cover that material in the platform and CMDB sections.
How is the learning workload structured?
The program combines live mentor-led classes, guided labs, project work, and optional support sessions. An advisor can explain the current class format before enrolment.
Is placement support really 1:1, and which companies hire?
Yes. Career support includes portfolio and profile preparation, interview practice, and role-fit introductions where available. Edify Nuva does not guarantee an interview, offer, salary, employer, location, or timeline.
Online, weekend, or on-campus?
All three. On-campus at the Hyderabad flagship, live online (IST and PST classes), and a weekend track for working professionals. Every format ships the same three projects and the same project — only the schedule changes.
What if I fall behind, or can't continue mid-class?
Freeze your seat for up to 90 days and rejoin the next class — no extra fee. TAs run catch-up sessions every Saturday for learners needing additional support, and recordings of every live session are available for the lifetime of your account.
Still have a question? Talk to an advisor — no slides, no pitch.
One million AI‑native professionals by 2027.
Let's put you in that number.
Book a 20‑minute advisor call. We'll map your current role to the right program, talk honestly about timelines, and walk you through a real class's project.
