← All career pathsSupport & CX Teams

6-month career track to become a Customer Support AI Expert

Design AI support systems that resolve faster while keeping humans in the loop.

₹14,999₹30,00050% OFF

Get 100% fees back as a reward if you complete the 6-month challenge.

Free Career Assessment
ARSK

250k+ learners

4.9/5 ratings
AI for Customer Support programme illustration

AI for Customer Support

Foundation → Professional → Master · ₹4 – 20 LPA

1:1

Live mentors

3+

Projects

3 levels

Certificate

Mentors live now

1-on-1 live doubt solving with expert mentors

Never stay stuck. Real practitioners join you on call, review your screen and unblock you the same evening.

Daily live doubt support

Mentors online 7 PM – 11 PM, every single day.

7 days / week

Instant doubt clearing

Audio + screen share sessions until it truly clicks.

< 5 min wait

Personalised guidance

Project reviews and 1:1 career mapping with your mentor.

1:1 sessions

Portfolio & CV building

Line-by-line help to make you recruiter-ready.

Recruiter-ready
Overview

Everything in this career track

Earning potential

₹4 – 20 LPA

Typical range for AI for Customer Support roles after completing all three levels and building a recruiter-ready portfolio.

Certification

Level-wise ACRY certificate

Commitment

6–8 hrs / week, self-paced

Tools you'll master

Hands-on with the exact AI stack hiring teams ask for in AI for Customer Support interviews.

Zendesk AIIntercomRAGDialogflow

3 levels

Foundation → Master

100%

Project-based learning

Curriculum

Foundation → Professional → Master

One ladder, three levels. Each level ends with a shippable project, a certificate and a clear next step.

01

Foundation

AI fundamentals mapped to customer support

Weeks 1-4 · 40 hrs 4 modules · 11 topics

01. How AI actually works

6 hrs
  • LLMs, tokens, context windows and hallucinations explained simply
  • Where AI genuinely helps in customer support — and where it fails
  • Responsible use, data privacy and review checkpoints

02. Prompt engineering for Customer Support

10 hrs
  • Role, context, constraint and example-driven prompt frameworks
  • Reusable prompt library for recurring customer support tasks
  • Chain-of-task prompting and output quality scoring

03. Core toolkit — Zendesk AI, Intercom, RAG

12 hrs
  • Hands-on setup and real workflows in Zendesk AI
  • Hands-on setup and real workflows in Intercom
  • Hands-on setup and real workflows in RAG

04. Foundation mini project

12 hrs
  • Build a starter version of the knowledge-base rag bot
  • Mentor review, rework and Foundation certificate

Level outcome: Confidently use AI copilots inside day-to-day customer support work.

Most chosen02

Professional

Job-ready customer support systems

Weeks 5-12 · 90 hrs 4 modules · 12 topics

01. Data, automation and workflow design

20 hrs
  • Map and automate the highest-value customer support workflows
  • Connect Dialogflow with APIs, Zapier / n8n style automation
  • Quality gates, human-in-the-loop and error handling

02. RAG, agents and custom copilots

24 hrs
  • Vector databases, retrieval and grounding on your own documents
  • Build a customer support agent that completes multi-step tasks
  • Evaluation: accuracy, cost and latency tracking

03. Applied build — Ticket triage agent

26 hrs
  • End-to-end build of the ticket triage agent
  • Deflection strategy
  • Weekly mentor code / work reviews

04. Portfolio, resume and interviews

20 hrs
  • Case-study style portfolio with before/after metrics
  • Resume and LinkedIn rewritten for CX AI Specialist roles
  • AI-scored mock interviews with feedback

Level outcome: Build support copilots

03

Master

Leadership, strategy and placement

Weeks 13-20 · 80 hrs 4 modules · 11 topics

01. Capstone — CSAT insight engine

30 hrs
  • Enterprise-scale build of the csat insight engine
  • Architecture review, cost model and documentation
  • Live demo day in front of a mentor panel

02. AI strategy and team enablement

18 hrs
  • Build an AI adoption roadmap for a customer support function
  • Governance, risk, vendor selection and ROI modelling
  • Train and lead a team on new AI workflows

03. Consulting and freelance practice

14 hrs
  • Scoping, proposals and pricing for AI projects
  • Client discovery calls and delivery playbook

04. Placement accelerator

18 hrs
  • Referrals and applications for CX AI Specialist, Support Operations Lead, Conversation Designer
  • 1:1 career mapping, salary negotiation and offer review
  • Master certificate and lifetime alumni access

Level outcome: Quality analytics

Outcomes

What you walk away with

Skills, job titles and a portfolio — the three things a recruiter actually checks.

3 skills

Learning Outcomes

  • Build support copilots
  • Deflection strategy
  • Quality analytics
3 roles

Career Opportunities

  • CX AI Specialist
  • Support Operations Lead
  • Conversation Designer
3 projects

Portfolio Projects

  • Knowledge-base RAG bot
  • Ticket triage agent
  • CSAT insight engine
Roadmap

Your 6-month AI for Customer Support roadmap

Six focused months — what you learn, what you build and what you can show at the end of every month.

6-Month Roadmap

AI for Customer Support — month 1 to month 6

6 phases · 1 month each
  1. Month 101

    AI foundations

    Understand AI and set up your customer support toolkit

    • Career assessment and personalised roadmap
    • Prompt engineering fundamentals
    • Set up Zendesk AI and Intercom

    Personal prompt library

  2. Month 202

    Applied tools

    Daily customer support workflows run with AI

    • Automate 3 recurring customer support tasks
    • Deep dive into RAG
    • Mini project #1 with mentor review

    Knowledge-base RAG bot

  3. Month 303

    Systems build

    Data, automation and integrations

    • Connect tools with APIs and automation
    • Design quality checks and review loops
    • Weekly live doubt rooms

    Automated workflow with metrics

  4. Month 404

    AI agents & RAG

    Build an intelligent customer support assistant

    • Vector database and retrieval on your own data
    • Multi-step agent with tool calling
    • Evaluate accuracy, cost and speed

    Ticket triage agent

  5. Month 505

    Portfolio & proof

    Turn work into recruiter-ready evidence

    • Case-study portfolio with before/after numbers
    • Resume and LinkedIn rewrite
    • Deploy and document the capstone

    CSAT insight engine

  6. Month 606

    Interview & launch

    Land CX AI Specialist

    • AI-scored mock interviews and feedback
    • Referrals, applications and outreach plan
    • Salary negotiation and 30-60-90 day job plan

    Certificate + interview pipeline

Included

AI career services bundled free

AI Resume Builder

ATS-ready resumes tailored to each AI role.

AI Portfolio Builder

Turn projects into a recruiter-ready portfolio.

AI LinkedIn Optimizer

Positioning that attracts inbound recruiters.

AI Mock Interview

Realistic interviews with instant scoring.

AI Skill Gap Analysis

Know exactly what to learn next.

AI Career Roadmap

A personalised month-by-month plan.

Ready to start AI for Customer Support?

Join the 6-month challenge, build real projects and get placement support from day one.

Compare career paths
Learner reviews

What learners say about AI for Customer Support

Verified reviews from learners who completed the AI for Customer Support track and moved into roles like CX AI Specialist.

Excellent

Rated 4.8 out of 5 based on 12 verified learner reviews for the AI for Customer Support programme.

Every review collected from enrolled learners after course completion

  • 5-star75%
  • 4-star25%
  • 3-star0%
  • 2-star0%
  • 1-star0%
25 April 2026

The cohort makes the difference

Daily standups with people from the same field meant I never got stuck alone. Two of us are still pairing on side projects months after the AI for Customer Support cohort ended.

GC

Gaurav Chauhan

CX AI Specialist · Kochi

Verified
3 March 2026

Great value for what you get

Compared to what I paid for a previous bootcamp, the AI for Customer Support programme delivered more contact hours and far better mentors. I would have liked one more live session on scaling, but the community filled the gap.

AR

Ananya Rathi

Support Operations Lead · Kolkata

Verified
24 February 2026

Finally a AI for Customer Support course that ships work

I came in able to talk about AI but not build with it. By week three I had the Knowledge-base RAG bot running end to end and could explain every decision in it. That single project got me shortlisted twice.

RD

Rahul Deshpande

Support & CX Teams · Chandigarh

Verified
16 September 2025

Intense, but the pace is honest

Be ready to put in real hours — the assignments are graded and you get sent back if the Ticket triage agent does not work. I lost a weekend to it and learned more than a year of videos. Only wish the recordings were indexed better.

FS

Fatima Sheikh

CX AI Specialist · Hyderabad

Verified
23 April 2026

Good fit for support & cx teams

I was worried it would be too engineering-heavy for my background. It was not. The concepts are taught through the actual work support & cx teams do, and the RAG module clicked immediately.

DG

Devansh Gupta

Support Operations Lead · Mumbai

Verified
7 March 2026

Salary went up 80%

Two projects, one certificate and a much sharper way of explaining what I do with Zendesk AI and Intercom. I negotiated with a number in my head for the first time and got it.

AK

Aditi Kulkarni

Support & CX Teams · Ahmedabad

Verified

FAQs

AI for Customer Support: your questions answered

Still unsure? Our counsellors answer within 12 hours on working days.

Careers close to AI for Customer Support

Learners on the AI for Customer Support track often compare these professions and upgrade to a combo pack for a wider role.

Before you enrol:Refund & cancellation policyTerms & conditionsPrivacy policyDisclaimerAll 21 career pathsAI career services