Description

Introduction

Customer support is rapidly evolving with the advent of Agentic AI, which empowers systems to go beyond static responses to become goal-driven, autonomous problem-solvers. This course focuses on deploying agentic AI in real-world customer service environments, enabling support agents to understand intent, take multi-step actions, access databases or tools, and continuously improve through feedback. You’ll learn to design, build, and scale autonomous support systems that drive efficiency and enhance customer satisfaction.

Prerequisites

This course is intended for AI engineers, automation leads, and support system architects with:

• Intermediate Python and basic REST API skills

• Familiarity with LLMs (e.g., OpenAI GPT-4, Claude, or Gemini)

• Basic understanding of customer service platforms (e.g., Zendesk, Freshdesk, Salesforce Service Cloud)

• Optional: Experience with frameworks like LangChain, AutoGen, or CrewAI

Table of Contents

1. Introduction to Agentic AI in Customer Service

• 1.1 Reactive Chatbots vs. Autonomous Support Agents

• 1.2 Key Benefits: Cost Reduction, 24/7 Service, Resolution Accuracy

• 1.3 Real-World Case Studies of Agentic Support Deployment

2. Core Components of a Support Agent

• 2.1 Understanding Customer Intent and Context

• 2.2 Agent Planning, Tool Use, and Action Execution

• 2.3 Integrating Support Tools (CRM, Knowledge Bases, Ticketing Systems)

3. Frameworks for Building Support Agents

• 3.1 LangChain Agents for Task Routing and Resolution

• 3.2 AutoGen GroupChat for Tiered Support Handling

• 3.3 CrewAI for Role-Based Customer Service Workflows

• 3.4 Plugins and API Wrappers for Support Tools

4. Designing Multi-Turn Support Conversations

• 4.1 Memory and Context Retention Across Sessions

• 4.2 Escalation Handling and Agent Handoff

• 4.3 ReAct and Plan-Act-Reflect Patterns in Conversations

5. Automating Support Use Cases

• 5.1 Password Reset, Account Troubleshooting, Refunds

• 5.2 Order Tracking and Logistics Inquiry

• 5.3 Product Recommendation and Upselling Agents

• 5.4 Intelligent Ticket Categorization and Routing

6. Ensuring Trust, Safety, and Compliance

• 6.1 Human-in-the-Loop Monitoring

• 6.2 Data Privacy and Compliance (GDPR, HIPAA)

• 6.3 Guardrails and Hallucination Mitigation

7. Integration and Deployment

• 7.1 Connecting Agents with CRMs, Ticketing, and Chat Platforms

• 7.2 Deploying via APIs, Chat Widgets, and Mobile Apps

• 7.3 Logging, Feedback Loops, and Continuous Learning

8. Scaling Support Operations with Agents

• 8.1 Performance Monitoring and A/B Testing

• 8.2 Agent Training with Historical Support Data

• 8.3 Scaling to Multilingual and Multi-Channel Support

Agentic AI redefines the capabilities of customer support systems—transforming them from static responders into autonomous service agents that resolve issues, access tools, and learn from interactions. By the end of this course, you’ll be able to design, build, and deploy agentic AI that integrates seamlessly with support workflows, reduces operational costs, and improves customer experience at scale.