This module explores advanced capabilities within Azure Cognitive Services, focusing on building tailored AI models using Custom Vision, and automating content extraction from unstructured documents through Form Recognizer and Ink Recognizer. It also introduces learners to the Video Indexer tool for extracting rich metadata from multimedia content. Through a blend of conceptual walkthroughs and hands-on exercises, learners will gain practical skills in training image classifiers, deploying document-processing workflows, and analyzing videos using Azure-powered services.

This module introduces learners to Azure's powerful speech capabilities, focusing on how to convert speech to text, synthesize speech from text, and translate spoken language across languages. It also explores speaker recognition features for identity verification. Through both conceptual overviews and hands-on demonstrations, learners gain practical experience with setting up Azure Speech Services, invoking REST APIs, and integrating speech features into applications for real-time and batch processing.

This module introduces learners to Azure Cognitive Services for natural language processing, focusing on capabilities like sentiment analysis, language translation, language understanding (LUIS), and entity recognition. Learners will explore how these tools extract meaning, structure, and intent from text, and see practical demonstrations of integrating these services into intelligent applications. By the end of this module, learners will be able to build applications that interpret text, understand user intent, and extract relevant data entities.

This module introduces learners to advanced knowledge extraction and content moderation capabilities in Azure Cognitive Services. It covers building conversational agents using QnA Maker, implementing intelligent decision-making with Personalizer, and safeguarding platforms through automated text, image, and content moderation services. Learners will explore practical implementations of decision and moderation APIs in real-world scenarios.

This module introduces learners to advanced cognitive services in Microsoft Azure focused on detecting anomalies in data, delivering personalized experiences through contextual decision-making, and performing intelligent web searches using Azure’s search APIs. Learners will gain hands-on experience in configuring anomaly detection models, building and rewarding Personalizer-based recommendations, and integrating web search results into custom applications. These services demonstrate how AI can be used to monitor trends, adapt user experiences, and leverage real-time search data.