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Coursera

Azure Cognitive Services - Creating an AI Based Chatbot

EDUCBA via Coursera

Overview

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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.

Syllabus

  • Building and Deploying an AI-Powered Chatbot
    • 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.

Taught by

EDUCBA

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4.9 rating at Coursera based on 11 ratings

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