Build and Deploy Chatbots Using Dialogflow

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Build and Deploy Chatbots Using Dialogflow

Coursera · Beginner ·🤖 AI Agents & Automation ·3mo ago

Key Takeaways

Develops skills in liderazgo femenino and potencia habilidades e impulsa el cambio

Original Description

By completing this course, learners will be able to design conversational agents, create and implement intents, manage multi-turn conversations using contexts, integrate chatbots across platforms, and enhance chatbot functionality using fulfillment, rich responses, analytics, and validation tools. This course provides a structured, hands-on introduction to building intelligent chatbots using Google Dialogflow. Learners begin with the fundamentals of conversational AI and chatbot creation, then progress to designing intents with training phrases, parameters, and booking workflows. The course further explores advanced features such as webhook fulfillment for dynamic responses, rich media interactions, and knowledge bases for informational queries. What makes this course unique is its end-to-end practical approach, guiding learners from initial agent setup to real-world chatbot deployment and performance monitoring. Each concept is demonstrated through real chatbot scenarios, enabling learners to build scalable and reliable conversational experiences. By the end of the course, learners will have the skills and confidence to build, deploy, and optimize production-ready chatbots for customer interaction, automation, and support use cases, making this course ideal for beginners, developers, and aspiring conversational AI designers.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Building a Telegram AI Agent for Personal Use
Build a personal Telegram AI agent with conversation memory and security features using Bun, Telegraf, SQLite, and Composio
Dev.to · Shubham
📰
Terence Tao Is Vibe Coding Now — A Fields Medalist Ports His 1999 Applets With AI Agents
Learn how Terence Tao, a Fields Medalist, uses AI agents to port his 1999 applets, and discover the potential of vibe coding in mathematics
Dev.to · TerminalBlog
📰
🚀 Calling all DevOps, SRE, and Platform Engineers! Let’s build the future of AI for DevOps together.
Learn how AI agents can revolutionize DevOps and how you can contribute to building the future of AI for DevOps
Dev.to · Prashant Lakhera
📰
Calling all DevOps, SRE, and Platform Engineers!
Learn how to build AI for DevOps and improve production infrastructure with specialized AI agents
Medium · LLM
Up next
Stop Losing Gym Members! AI Answers Every Call & Books More Tours | Gym Jarvis
Scale Through Automation
Watch →