MODULE

Introduction to RAG:
Build your first RAG Pipeline

RAG, or Retrieval-Augmented Generation, shows you how to combine AI’s generative power with live, trusted information. This course guides you step by step through building your own RAG pipeline without writing code, from knowledge base setup to verified, accurate responses. Learn to design AI systems that are factual, scalable, and tailored to real-world enterprise use.
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INDUSTRY LEARNING SERIES
FORMAT
SUBSCRIPTION
LEVEL
VIDEOS
ON-DEMAND VIDEO AND TASKS
INTERMEDIATE
18
LEAD SPEAKER

Hans Van Dam

FOUNDER & CEO
CDI
ABOUT
RAG, or Retrieval-Augmented Generation, is transforming how conversational AI systems provide accurate, personalized, and trustworthy answers. This course takes you on a step-by-step journey through building your own RAG pipeline, no coding required. Instead of focusing on programming or the low-level system architecture, this course emphasizes practical, hands-on skills you can immediately apply to real-world conversational AI projects.

Throughout the course, all demonstrations use Voiceflow, allowing you to follow visually and interactively as you create, test, and refine each step of a RAG workflow. You will learn how to prepare knowledge bases, design effective prompts, and build pipelines that can retrieve, generate, verify, and route responses accurately, just like enterprise-grade AI systems.

Perfect if you…

  • Want to design AI assistants that deliver accurate, trustworthy answers
  • Work in enterprise AI, conversational interfaces, or knowledge management
  • Prefer hands-on projects without coding

Might not be right if you…

  • Are looking for deep programming instruction or detailed exploration of system architecture
  • Expect to learn low-level coding of AI models or retrieval algorithms
SKILLS

What you will learn

  • Understand the principles of RAG and why it matters for enterprises
  • Identify ideal applications and limitations of RAG
  • Prepare and organize knowledge bases for retrieval
  • Design effective prompts for real-world conversational AI
  • Build a complete RAG pipeline in Voiceflow from input assessment to answer verification
  • Test, refine, and optimize your pipeline for reliability and contextual accuracy

What you will get

  • Introduction to RAG: Build your first RAG Pipeline Module
conversational ai applications PATHWAY · COURSE 1 of 3

Introduction to RAG: Build your first RAG Pipeline

RAG, or Retrieval-Augmented Generation, shows you how to combine AI’s generative power with live, trusted information. This course guides you step by step through building your own RAG pipeline without writing code, from knowledge base setup to verified, accurate responses. Learn to design AI systems that are factual, scalable, and tailored to real-world enterprise use.
  • COURSE 1 · Introduction to Rag
  • COURSE 2 · Maximizing Chatbot Success
  • COURSE 3 · Designing Digital Humans
  • EXAM · CONVERSATIONAL AI APPLICATIONS Exam
  • CERTIFIED CONVERSATIONAL AI APPLICATIONS PRACTITIONER
ABOUT THIS COURSE 
  • Format
    On-demand video, workbook and quizzes
  • Part of
    conversational ai applications PATHWAY
  • Available on
    Learn only and Certified plans
LEAD INSTRUCTOR

Hans van Dam

FOUNDER & CEO
CONVERSATION DESIGN INSTITUTE
CERTIFICATES & EXAM
Complete all three required courses in this pathway and pass the Conversational AI Applications Exam to become a Certified Conversational AI Applications Practitioner. 
COURSE CERTIFICATE
PATHWAY CERTIFICATE
ABOUT
RAG, or Retrieval-Augmented Generation, is transforming how conversational AI systems provide accurate, personalized, and trustworthy answers. This course takes you on a step-by-step journey through building your own RAG pipeline, no coding required. Instead of focusing on programming or the low-level system architecture, this course emphasizes practical, hands-on skills you can immediately apply to real-world conversational AI projects.

Throughout the course, all demonstrations use Voiceflow, allowing you to follow visually and interactively as you create, test, and refine each step of a RAG workflow. You will learn how to prepare knowledge bases, design effective prompts, and build pipelines that can retrieve, generate, verify, and route responses accurately, just like enterprise-grade AI systems.

Perfect if you…

  • Want to design AI assistants that deliver accurate, trustworthy answers
  • Work in enterprise AI, conversational interfaces, or knowledge management
  • Prefer hands-on projects without coding

Might not be right if you…

  • Are looking for deep programming instruction or detailed exploration of system architecture
  • Expect to learn low-level coding of AI models or retrieval algorithms
SKILLS

What you will learn

  • Understand the principles of RAG and why it matters for enterprises
  • Identify ideal applications and limitations of RAG
  • Prepare and organize knowledge bases for retrieval
  • Design effective prompts for real-world conversational AI
  • Build a complete RAG pipeline in Voiceflow from input assessment to answer verification
  • Test, refine, and optimize your pipeline for reliability and contextual accuracy
NEXT IN THIS PATHWAY

Maximizing Chatbot Success

CONTENT

Course outline

MEET THE INSTRUCTOR

Hans Van Dam

CEO AND FOUNDER, CDI
In 2018, Hans co-founded the Conversation Design Institute to establish processes, techniques, and organizational standards to professionalize the role of conversation design within large enterprises.

Hans also sits upon the board of CDI Foundation, which is focused on undertaking research, education and industry development, along with providing scholarships to help people from underrepresented and disadvantaged backgrounds enter the CAI industry.  

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