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categories: Business & Professional Skills

Customer Service
Technology
SDG 9: Industry, Innovation and Infrastructure

AI in Customer Service

New
Duration: 2h 4min / 22 lessons

Level: General

Course Language: Arabic

By the end of this course, you will be able to

  • Explain generative AI fundamentals in plain terms.

  • Conduct deep research to organize and secure a comprehensive knowledge base.

  • Engineer prompts, persona profiles, and system instructions aligned with business goals. 

  • Build, test, and deploy a no-code chatbot across web and messaging channels.

  • Monitor key performance indicators (response time, accuracy, satisfaction) and iterate securely.

Course Details

  • 2h 4min / 22 lessons
  • Last updated: 20/7/2026
  • 3 learning resources
  • Course completion certificate

Course Content

Free lessons

1.

Course Introduction

1 Minutes
2.

Case Study: AI Knowledge Agent

2 Minutes
1.

Course Introduction

1 Minutes
2.

Learning Outcomes

1 Minutes
3.

Case Study: AI Knowledge Agent

2 Minutes
4.

Customer Service Global Issues & Resolutions

1 Minutes
learning resources
5.

Knowledge Agents & Impacts

4 Minutes
1.

Module Introduction

4 Minutes
2.

Steps to Be AI Ready

4 Minutes
3.

Prompt Engineering Framework

12 Minutes
4.

Custom GPT & System Instructions

7 Minutes
1.

Knowledge Base: Importance & Structuring

3 Minutes
2.

Documenting Your Knowledge Base

7 Minutes
3.

Deep Research Use Cases

18 Minutes
4.

When to Use RAG Tools

5 Minutes
learning resources
1.

AI Bot System Instructions

3 Minutes
2.

Building Your Bot Using Gooey AI

12 Minutes
3.

Building Your Bot Using Chatbase

7 Minutes
4.

Connecting Your Bot to WhatsApp

9 Minutes
5.

Security & Privacy Precautions

3 Minutes
6.

Module Conclusion & Next Steps

2 Minutes
1.

Future AI Applications in Customer Service

4 Minutes
2.

Hands-on Practice

2 Minutes
3.

Course Conclusion

1 Minutes
learning resources

About this course

In this course, you will first master the fundamentals of generative AI, large language models, embeddings, and retrieval-based techniques before progressing to prompt engineering and advanced prompt engineering for designing effective knowledge agents. Through guided, hands-on exercises using no-code platforms (Custom GPTs, Chatbase, Gooey AI, Nancy AI), you will learn to conduct deep research to structure and secure a comprehensive knowledge base, define system instructions, and deploy a chatbot that automates customer support, technical support, and internal knowledge management. By the end, you will have a fully functional agent tailored to their organization’s needs, along with practical templates and checklists for ongoing maintenance and scaling.

Course requirements and prerequisites

This course requires basic computer and internet proficiency, including installing desktop or web applications. You should also have free user accounts on Chatbase, Gooey AI, and ChatGPT, and access to your organization’s internal documents or FAQ materials to structure your knowledge base. It's preferable to have familiarity with basic customer-service or technical-support workflows (e.g., ticketing systems, FAQs). No prior coding experience is required.

Instructor

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