AI For Customer Experience With Chatbots And Analytics Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a comprehensive, business-focused exploration of AI in customer experience, emphasizing practical applications of chatbots, analytics, and automation. Designed for professionals in marketing, customer support, and digital strategy, it blends foundational AI concepts with real-world implementation. The curriculum spans six modules, totaling approximately 18–24 hours of learning, combining quizzes, hands-on labs, case studies, and peer-reviewed assignments. Learners will gain the skills to design and deploy AI-driven customer interaction systems, analyze customer behavior, and enhance service delivery—all without requiring deep technical programming expertise.
Module 1: Foundations of Computing & Algorithms
Estimated time: 2 hours
- Review of core computing principles relevant to AI systems
- Introduction to algorithm design and efficiency
- Case study analysis of real-world customer experience applications
- Overview of tools and frameworks used in AI-driven customer service
Module 2: Neural Networks & Deep Learning
Estimated time: 4 hours
- Understanding core AI concepts including neural networks and deep learning
- Applying neural networks to customer behavior modeling
- Hands-on exercises using deep learning techniques for personalization
- Review of frameworks and libraries for AI implementation
Module 3: AI System Design & Architecture
Estimated time: 2 hours
- Designing scalable AI systems for customer experience
- Applying computational thinking to solve customer service challenges
- Interactive lab: Building practical AI solutions
Module 4: Natural Language Processing
Estimated time: 4 hours
- Implementing NLP techniques for chatbot development
- Case study analysis of conversational AI in customer support
- Best practices in designing customer-facing language models
- Interactive lab: Building a functional customer service chatbot
Module 5: Deployment & Production Systems
Estimated time: 3 hours
- Strategies for deploying AI systems in live customer environments
- Monitoring and optimizing chatbots and analytics pipelines
- Guided project: Implementing a production-ready customer AI solution
Module 6: Final Project
Estimated time: 3 hours
- Design and prototype an AI-powered customer experience solution
- Apply analytics to simulate customer interaction improvements
- Submit a peer-reviewed project with real-world business impact analysis
Prerequisites
- Familiarity with basic digital business concepts
- No advanced coding required, but comfort with technology tools is helpful
- Interest in customer experience, marketing, or support automation
What You'll Be Able to Do After
- Design and implement AI-driven chatbots for customer service
- Analyze customer interactions using AI-powered analytics
- Apply prompt engineering and NLP techniques to improve engagement
- Deploy scalable AI solutions in real-world customer environments
- Evaluate and optimize customer experience systems using data insights