Learn how to design, build, and deploy AI-powered chatbots using Microsoft Azure Cognitive Services and Java. In this hands-on course, you will explore the complete workflow for creating intelligent FAQ-based chatbots with Azure QnA Maker, integrating them into Java applications, and validating their performance in local and cloud-based environments.

Designed for intermediate learners with Java knowledge, this course guides you through configuring Azure QnA services, preparing chatbot knowledge bases, developing REST-enabled Java applications, troubleshooting integration challenges, and deploying chatbot solutions using Spring Tool Suite. You will also evaluate Azure resource usage, manage cloud services efficiently, and perform responsible service cleanup to help control operational costs. What sets this course apart is its practical, end-to-end approach that combines Azure Cognitive Services with Java application development. Rather than focusing only on chatbot concepts, you'll gain hands-on experience configuring services, resolving implementation issues, validating deployments, and managing cloud resources. By the end of the course, you will be able to design QnA knowledge bases, integrate Azure Cognitive Services into Java applications, troubleshoot chatbot implementations, validate deployments, and optimize Azure resources for cost-efficient AI solutions. If you want to strengthen your Azure AI, chatbot development, and cloud integration skills through practical experience, this course provides a focused learning path.