Conversational AI and Chatbot Design Training Course

Conversational AI and Chatbot Design Training Course

Intermediate | 10 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Conversational AI and Chatbot Design Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 10 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 2,700/KES 189,000 (Exclusive of VAT)
Course Fees (Virtual)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview:
This course provides marketers and developers with the skills to design, implement, and optimize conversational AI systems and chatbots for customer engagement, lead generation, and support automation. Participants will learn to craft natural language experiences and integrate AI chat solutions into marketing strategies.

Duration: 10 Days

Target Audience:

  • Digital marketing managers
  • Customer support managers
  • UX/UI designers
  • Chatbot developers

Organizational Impact:

  • Improved customer engagement and support efficiency
  • Reduced operational costs via automated responses
  • Enhanced lead generation and conversion rates
  • Data-driven insights from customer interactions

Personal Impact:

  • Mastery of conversational AI design principles
  • Ability to deploy chatbots for marketing and support
  • Enhanced skills in AI-driven customer experience
  • Competitive advantage in digital innovation

Course Objectives:

  • Understand conversational AI principles
  • Design chatbot workflows and dialogue systems
  • Integrate chatbots into marketing channels
  • Optimize chatbot performance using analytics
  • Evaluate AI interaction quality and user experience
02

Course Modules

Course Modules:

Module 1: Introduction to Conversational AI

  • Overview of conversational AI technologies
  • Key use cases in marketing and support
  • Platforms and frameworks for AI chatbots
  • Case Study: AI chatbot implementation in e-commerce

Module 2: Natural Language Processing (NLP) Basics

  • Understanding NLP and its marketing applications
  • Text analysis and sentiment detection
  • Chatbot intent recognition
  • Case Study: NLP-powered customer inquiry handling

Module 3: Chatbot Design Principles

  • Designing conversation flows
  • User experience considerations
  • Personalization in chatbot interactions
  • Case Study: Designing a lead generation chatbot

Module 4: Chatbot Development Tools

  • Overview of popular chatbot platforms
  • Integration with websites and social media
  • Prototyping and testing chatbots
  • Case Study: Multi-platform chatbot deployment

Module 5: Dialogue Management & User Engagement

  • Maintaining context in conversations
  • Handling unexpected user inputs
  • Engagement strategies for chatbots
  • Case Study: Conversational AI for customer retention

Module 6: Analytics & Performance Optimization

  • Measuring chatbot KPIs
  • Monitoring conversation quality
  • A/B testing dialogue strategies
  • Case Study: Chatbot performance improvement project

Module 7: Voice and Multimodal Chatbots

  • Integration with voice assistants
  • Combining text and voice interactions
  • Accessibility considerations
  • Case Study: Voice-enabled chatbot for service inquiries

Module 8: AI Personalization Strategies

  • Dynamic responses based on user data
  • Recommendation engines for chatbots
  • Cross-channel personalization
  • Case Study: Personalized chatbot campaign

Module 9: Security & Compliance

  • Data privacy in conversational AI
  • GDPR and regulatory considerations
  • Ethical chatbot design
  • Case Study: Secure and compliant chatbot deployment

Module 10: Future Trends in Conversational AI

  • Emerging AI technologies
  • Advanced dialogue systems
  • Preparing for AI-driven marketing evolution
  • Case Study: Conversational AI strategy roadmap
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
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16 Nov - 27 Nov
KES 189,000 |
$2,700
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07 Dec - 18 Dec
KES 189,000 |
$2,700
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Pretoria
Cape Town
Johannesberg
Zanzibar
Arusha
Kisumu
Dubai
Mombasa
Nairobi
Nakuru
Machakos
Naivasha
Kampala