AI for Customer Experience equips professionals with the skills to design, deliver, and scale exceptional customer service using artificial intelligence. This course focuses on how AI is transforming customer interactions across support, engagement, and service operations - helping organizations respond faster, personalize experiences, and build long-term trust.
Learners will explore how AI-powered tools such as chatbots, virtual agents, sentiment analysis, and automated ticketing systems enhance customer satisfaction while improving operational efficiency. Through practical examples and real-world scenarios, the course demonstrates how AI can be applied to personalize customer journeys, predict customer needs, and resolve issues proactively.
You’ll also gain a clear understanding of customer data collection and analysis, enabling smarter decision-making and continuous service improvement. Ethical AI use is a core focus, covering transparency, bias mitigation, and trust-building in customer-facing AI systems.
Designed for customer service professionals, CX leaders, business analysts, and aspiring professionals, this course helps you stay ahead in a rapidly evolving customer experience landscape - preparing you to lead AI-driven service transformation across industries such as e-commerce, SaaS, banking, and telecom.
This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.
What's included
14 videos2 readings1 assignment4 plugins
Show info about module content
14 videos•Total 187 minutes
Navigation Video•2 minutes
Audiobook: Course Introduction•6 minutes
Course Introduction•4 minutes
Audiobook: Module 1: Introduction to AI in Customer Service•83 minutes
Podcast: Module 1: Introduction to AI in Customer Service•48 minutes
1.1 Early Concepts and Theoretical Foundations of AI•6 minutes
1.2 Key Milestones and Technological Breakthroughs•4 minutes
1.3 Evolution from Academic Research to Commercial Applications•5 minutes
1.4 Artificial Intelligence, Machine Learning, and Deep Learning•5 minutes
1.5 Common Misconceptions and Demystifying AI•4 minutes
1.6 Automating Routine Tasks and Reducing Response Times•4 minutes
1.7 Role of AI in Data Analysis•5 minutes
1.8 Application of AI in Customer Service•6 minutes
1.9 Success Stories•3 minutes
2 readings•Total 20 minutes
Hands on: 1•10 minutes
Hands on: 2•10 minutes
1 assignment•Total 30 minutes
Quiz 1•30 minutes
4 plugins•Total 60 minutes
EBook: Module 1: Introduction to AI in Customer Service•15 minutes
Interactive Quiz/Activity: True or false•15 minutes
Interactive Quiz/Activity: Scenario•15 minutes
Graded Assessment- 5 Questions•15 minutes
Module 02: Understanding AI Technologies
Module 2•5 hours to complete
Module details
What's included
9 videos2 readings1 assignment5 plugins
Show info about module content
9 videos•Total 179 minutes
Audiobook: Module 2: Understanding AI Technologies•94 minutes
Podcast: Module 2: Understanding AI Technologies•36 minutes
2.1 The Concept and Types of Machine Learning•9 minutes
2.2 Use Cases in Customer Service•5 minutes
2.3 Understanding NLP•5 minutes
2.4 Applications in Customer Service•5 minutes
2.5 Deep Learning and Neural Network Explained•5 minutes
2.6 Impact on Customer Service•6 minutes
2.7 AI-Driven Analytics•14 minutes
2 readings•Total 20 minutes
Hands on: 1•10 minutes
Hands on: 2•10 minutes
1 assignment•Total 30 minutes
Quiz 2•30 minutes
5 plugins•Total 75 minutes
EBook: Module 2: Understanding AI Technologies•15 minutes
Interactive Quiz/Activity: Drop down•15 minutes
Interactive Quiz/Activity: Drag and drop•15 minutes
Interactive Quiz/Activity: Accordian•15 minutes
Graded Assessment- 5 Questions•15 minutes
Module 03: Data Collection and Analysis
Module 3•6 hours to complete
Module details
What's included
11 videos1 reading1 assignment6 plugins
Show info about module content
11 videos•Total 242 minutes
Audiobook: Module 3: Data Collection and Analysis•89 minutes
Podcast: Module 3: Data Collection and Analysis•101 minutes
3.1 Types of Customer Data•7 minutes
3.2 Data Collection Methods•6 minutes
3.3 Data Challenges and Solutions•4 minutes
3.4 The Importance and Techniques of High-Quality Data•3 minutes
3.5 Data Accuracy and Its Impact on AI Performance•6 minutes
3.6 Overview of Analytical Tools•5 minutes
3.7 Enhancing Customer Experience: Tools and Predictive Analytics in Action•7 minutes
3.8 Segmentation Unleashed: Insights that Drive Action•8 minutes
3.9 Continuous Improvement and Case Studies•7 minutes
1 reading•Total 10 minutes
Hands on•10 minutes
1 assignment•Total 30 minutes
Quiz 3•30 minutes
6 plugins•Total 90 minutes
EBook: Module 3: Data Collection and Analysis•15 minutes
Interactive Quiz/Activity: Drag and drop•15 minutes
Do I need prior AI or technical experience to take this course?
No. The course is designed for beginners and professionals, focusing on practical AI applications rather than coding.
How is AI applied to real customer service scenarios in this course?
You’ll learn through real-world use cases such as chatbots, virtual agents, sentiment analysis, and automated ticket handling.
Will I learn to use real AI tools used in customer experience teams?
Yes. You’ll explore industry-relevant tools like Zendesk, Freddy AI, Octane AI, and Rul.ai.
Is this course relevant for non-customer service roles?
Absolutely. Business analysts, technology leaders, and CX strategists can apply these insights across multiple functions.
How does the course address personalization in customer experience?
The course covers AI-driven customer data analysis to tailor interactions, predict needs, and improve satisfaction.
Does the course cover ethical and responsible use of AI?
Yes. You’ll learn how to design AI-powered CX solutions that are transparent, fair, and build customer trust.
Will this course help improve operational efficiency?
Yes. It shows how AI can automate repetitive tasks, reduce response times, and improve service consistency.
Is this course suitable for students or early-career professionals?
Yes. The content builds strong foundational knowledge and practical skills for AI-driven customer service roles.
How practical is the learning experience?
The course includes applied examples, scenarios, and exercises focused on real customer experience challenges.
Can the skills from this course be applied across industries?
Yes. AI-driven customer experience is relevant across e-commerce, banking, SaaS, telecom, healthcare, and more.
Will I learn how to design an AI customer service strategy?
Yes. You’ll gain a structured approach to planning and implementing AI solutions aligned with business goals.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.