AI for Business Roles · PPL

AI for Customer Support Certification

A practical program that equips professionals to use AI for customer support, service automation, faster issue resolution, and enhanced customer experiences.

  • ⏱3 DaysDuration
  • ◈PPLAccredited
  • ◐3 LanguagesArabic · English · Hindi
  • ◆₹7,999.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
2M+ Delegates trained worldwide
15,000+ Corporate clients
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4.8 ★ Average learner rating
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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to AI in Customer Support

  • AI fundamentals
  • Evolution of customer support
  • AI applications in service
  • Customer experience overview
  • Benefits of AI adoption
  • Future trends

Module 2: Customer Support Fundamentals

  • Customer support lifecycle
  • Service channels
  • Customer expectations
  • Support workflows
  • Service quality
  • Customer satisfaction

Module 3: AI-Powered Customer Service

  • AI service models
  • Intelligent customer interactions
  • Service automation
  • AI-assisted support
  • Human-AI collaboration
  • Business use cases

Module 4: Chatbots & Virtual Assistants

  • Chatbot fundamentals
  • Conversational AI
  • Virtual assistants
  • Conversation design
  • Chatbot deployment
  • Performance optimization

Module 5: Prompt Engineering for Customer Support

  • Prompt design
  • Context management
  • Response optimization
  • Customer query handling
  • Prompt refinement
  • Best practices

Module 6: AI for Ticket Management

  • Ticket classification
  • Ticket prioritization
  • Automated routing
  • SLA management
  • Workflow optimization
  • Resolution tracking

Module 7: Knowledge Base Management

  • Knowledge repositories
  • AI-powered search
  • FAQ generation
  • Content organization
  • Self-service portals
  • Continuous updates

Module 8: AI for Email Support

  • Email response generation
  • Response templates
  • Personalization
  • Tone optimization
  • Follow-up automation
  • Productivity improvement

Module 9: AI for Live Chat Support

  • Live chat automation
  • Smart suggestions
  • Real-time assistance
  • Customer engagement
  • Escalation management
  • Performance monitoring

Module 10: Sentiment Analysis

  • Customer sentiment detection
  • Emotion analysis
  • Feedback categorization
  • Complaint prioritization
  • Service improvement
  • Customer insights

Module 11: Customer Data & Personalization

  • Customer profiles
  • Interaction history
  • Personalized responses
  • Context-aware support
  • Customer segmentation
  • Service customization

Module 12: Workflow Automation

  • Process automation
  • Support workflows
  • Task automation
  • Escalation workflows
  • Productivity enhancement
  • Operational efficiency

Module 13: AI for Call Center Operations

  • AI-assisted call handling
  • Call routing
  • Agent assistance
  • Voice analytics
  • Performance optimization
  • Customer engagement

Module 14: Customer Feedback Analysis

  • Feedback collection
  • Survey analysis
  • Customer insights
  • Trend identification
  • Improvement planning
  • Reporting

Module 15: Customer Support Analytics

  • KPI development
  • Service dashboards
  • Resolution metrics
  • Response time analysis
  • Customer satisfaction tracking
  • Performance reporting

Module 16: AI for Customer Success

  • Customer onboarding
  • Proactive engagement
  • Retention strategies
  • Customer health monitoring
  • Success planning
  • Relationship management

Module 17: Responsible AI in Customer Support

  • Responsible AI principles
  • Data privacy
  • Bias awareness
  • Transparency
  • Secure AI usage
  • Risk management

Module 18: AI Productivity Tools

  • AI assistants
  • Meeting summaries
  • Documentation support
  • Task management
  • Collaboration tools
  • Workflow integration

Module 19: Omnichannel Customer Support

  • Multi-channel support
  • Channel integration
  • Consistent customer experience
  • Customer journey mapping
  • Communication strategy
  • Service continuity

Module 20: AI Adoption Strategy

  • Business readiness
  • AI implementation planning
  • Team enablement
  • Change management
  • Success metrics
  • Continuous improvement

Module 21: Customer Support AI Strategy

  • Support transformation roadmap
  • AI use case selection
  • Resource planning
  • Performance measurement
  • Service optimization
  • Business value assessment

Module 22: Capstone AI Customer Support Project

  • Customer support use case analysis
  • AI solution design
  • Workflow optimization
  • Performance evaluation
  • Implementation roadmap
  • Project presentation
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • ✓ Live instructor on-site
  • ✓ Printed workbook & materials
  • ✓ Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • ✓ Live instructor via video call
  • ✓ Digital workbook & resources
  • ✓ Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • ✓ On-demand video lessons
  • ✓ Interactive quizzes
  • ✓ 24/7 access on any device
— What you will master

Course Objectives

01

Understand the role of AI in transforming customer support operations.

02

Automate routine customer interactions using AI-powered tools.

03

Improve ticket management, response quality, and service efficiency.

04

Utilize AI to personalize customer interactions and enhance customer satisfaction.

05

Analyze customer feedback and service performance using AI-driven insights.

06

Design intelligent support workflows that improve operational productivity.

07

Apply responsible AI practices in customer service environments.

08

Develop AI adoption strategies to enhance customer support and customer experience.

— Questions answered

Frequently Asked Questions

What is AI for Customer Support?
AI for Customer Support focuses on using Artificial Intelligence to automate customer interactions, improve service efficiency, and enhance customer experiences.
Who should attend this course?
The course is designed for customer support professionals, customer success teams, helpdesk analysts, service managers, and operations professionals.
Do I need prior AI experience?
No. The program begins with AI fundamentals before introducing practical customer support applications.
What practical skills will I gain?
You will learn chatbot implementation, ticket automation, customer analytics, workflow automation, sentiment analysis, and AI-assisted customer service techniques.
How can AI improve customer support?
AI helps reduce response times, automate repetitive tasks, personalize customer interactions, improve issue resolution, and provide data-driven insights for continuous service improvement.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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