AI Chatbots with ChatGPT, Dialogflow & Watson

EDUCBA via Coursera Specialization

Go to class Write review

Details

Go to class

Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Beginner

Found in

Overview

Google, IBM & Meta Certificates – 40% Off

One Coursera Plus subscription covers most Professional Certificates on Coursera.

Unlock All Certificates

Build and deploy intelligent AI chatbots using ChatGPT, Dialogflow, and IBM Watson Assistant. Gain practical conversational AI skills for customer support, workflow automation, and business applications. This hands-on Specialization teaches you how to design conversational experiences, create intents and entities, manage multi-turn dialog, integrate APIs, and deploy chatbots across cloud, automation, and no-code platforms. You will build chatbot workflows with Dialogflow and Watson Assistant before advancing to ChatGPT-powered applications using Python, the OpenAI API, Azure serverless functions, Microsoft Power Automate, Teams, Power Apps, and Bubble.io. Through practical projects, you will create dynamic responses, webhook integrations, rich interactions, knowledge-based assistants, a meal-planning application, and a personal finance assistant. By completing the Specialization, you will be able to design, test, deploy, monitor, and improve scalable chatbot solutions for customer service, internal automation, and personalized digital experiences.

Syllabus

Course 1: Build and Deploy Chatbots Using Dialogflow
Course 2: Build and Deploy Chatbots Using IBM Watson Assistant
Course 3: ChatGPT: Build, Integrate & Deploy AI Apps

Courses

0 reviews

View details

Turn ChatGPT into practical AI-powered applications through a hands-on course that combines coding, automation, no-code development, and serverless cloud deployment. You’ll begin with the foundations of ChatGPT and OpenAI, including generative AI, GPT models, prompts, tokens, temperature, and prompt optimization. You’ll then set up Python and Visual Studio Code, create the required OpenAI, Azure, and Microsoft 365 accounts, and connect Python scripts to the OpenAI API. As you progress, you’ll build and deploy Azure Functions for serverless ChatGPT APIs, automate workflows with Microsoft Power Automate, integrate a ChatGPT chatbot into Microsoft Teams, and connect intelligent solutions through Power Apps. You’ll also use Bubble.io to create AI-powered applications without coding and complete real-world projects, including a personalized weekly MealPlan generator and a Personal Finance assistant. Designed for beginners and professionals—including developers, data enthusiasts, and business professionals—this course gives you step-by-step practice in building customizable ChatGPT workflows for business and personal use. Its distinctive blend of Python, low-code/no-code platforms, Microsoft tools, and Azure deployment helps you move from core concepts to complete, working AI applications.
0 reviews

View details

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.
0 reviews

View details

By the end of this course, learners will be able to design, configure, test, and deploy an end-to-end chatbot using IBM Watson Assistant, apply intents and entities to interpret user input, implement structured dialog flows, and enhance chatbot interactions with advanced response options and reusable content. This hands-on course provides a practical and structured approach to chatbot development using IBM Watson Assistant, one of the industry’s leading conversational AI platforms. Learners begin by setting up an IBM Cloud account and understanding service plans, then progress to building chatbot intelligence through intents, entities, and system entities. As the course advances, learners gain experience in designing engaging responses, managing conversation flow with dialog functionality, and extending chatbot behavior using advanced features such as options, pauses, and content catalogs. What makes this course unique is its project-driven, step-by-step learning experience that mirrors real-world chatbot development workflows. Each concept is reinforced through practical configuration and testing using the Watson Assistant preview environment. Upon completion, learners will have the skills and confidence to build intelligent, user-friendly chatbots suitable for business, customer support, or automation use cases, making this course ideal for beginners and aspiring conversational AI developers alike.