Azure Cognitive Services - Creating an AI Based Chatbot

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Azure Cognitive Services - Creating an AI Based Chatbot

This course is part of Microsoft Azure: Cloud Solutions Mastery Specialization

Instructor: EDUCBA

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

11 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

11 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

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This course is part of the Microsoft Azure: Cloud Solutions Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
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There is 1 module in this course

This hands-on course equips learners with the essential skills to design, develop, and deploy AI-based chatbots using Microsoft Azure Cognitive Services and Java. Tailored for intermediate-level participants, the course focuses on applying Azure’s QnA Maker to construct intelligent FAQ-driven bots and seamlessly integrate them into Java applications.

Learners will begin by understanding core concepts of Azure’s cognitive architecture and then progress to configuring QnA services through a dedicated interface. They will build a chatbot back-end in Java, troubleshoot real-world integration issues, and validate the end-to-end deployment using Spring Tool Suite. Finally, learners will evaluate the impact of cloud-based services on operational costs and demonstrate how to perform responsible service cleanup in Azure. By the end of the course, learners will be able to: Design QnA knowledge bases using Azure Cognitive Services. Develop REST-enabled Java applications for chatbot integration. Diagnose and resolve common implementation issues during development. Execute and validate chatbot functionality through local and cloud-based environments. Optimize and manage Azure resources to ensure cost efficiency.

This module introduces learners to the end-to-end process of building an AI-powered chatbot using Microsoft Azure Cognitive Services and Java. It begins with foundational insights into Azure’s QnA Maker and transitions into hands-on implementation with Java-based applications. Through practical demonstrations, learners will explore service integration, application debugging, and cost-effective resource management on Azure.

What's included

6 videos3 assignments

6 videos Total 42 minutes

Introduction to Course 3 minutes
QnA Service 12 minutes
Java Application Creation 10 minutes
Resolving Issues from Application 6 minutes
Running Java Application 7 minutes
Service Cleanup 4 minutes

3 assignments Total 50 minutes

Introduction and QnA Service Integration 10 minutes
Chat Bot 10 minutes
Graded - Building and Deploying an AI-Powered Chatbot 30 minutes

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Instructor

EDUCBA

1,050 Courses 247,633 learners

Offered by

EDUCBA

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Reviewed on Jul 16, 2025

Hands-on, easy chatbot creation with AI—great intro to Cognitive Services.

Reviewed on Aug 8, 2025

Practical, engaging guide to building intelligent Azure AI chatbot.

Reviewed on Aug 1, 2025

Simple, effective guide to building AI chatbot with Azure.

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