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Azure Cognitive Services Course

This Azure Cognitive Services course is designed for learners who want to build real-world AI applications using Microsoft Azure’s pre-built artificial intelligence services. The course focuses on practical AI capabilities such as computer vision, text analytics, and natural language processing, enabling developers to integrate powerful AI features without training models from scratch.

The course emphasizes hands-on usage of Azure AI tools to solve real business problems in vision, language, and document intelligence.

1.1 Introduction to Azure Cognitive Services

This section introduces Azure Cognitive Services and explains how it provides ready-made AI capabilities that can be integrated into applications using simple APIs.

Learners understand how AI services can be used without building machine learning models manually.

1.1.1 What are Cognitive Services?

This part explains the concept of pre-built AI services and how they simplify the development of intelligent applications.

1.1.2 Real-World Use Cases of Azure AI

Here learners explore practical applications such as automation, customer analysis, and intelligent document processing.

1.2 Computer Vision with Azure AI

This section focuses on image analysis and visual understanding using Azure Cognitive Services.

Learners explore how AI systems can interpret images, detect objects, and analyze visual content.

1.2.1 Image Analysis and Understanding

This topic explains how Azure AI can detect objects, scenes, and features within images.

1.2.2 Custom Vision Models

Here learners build custom image classifiers using Azure Custom Vision to recognize specific objects like vehicles or products.

1.3 Optical Character Recognition (OCR) and Document Intelligence

This section introduces OCR technologies used to extract text from images, scanned documents, and receipts.

1.3.1 Extracting Text from Images

This topic explains how Azure Cognitive Services reads and extracts printed or handwritten text from images.

1.3.2 Form Recognizer and Structured Data Extraction

Here learners explore how to extract structured information from documents like invoices and forms.

1.4 Natural Language Processing (NLP)

This section focuses on processing and understanding human language using Azure AI services.

1.4.1 Sentiment Analysis

This topic explains how AI detects emotions and opinions in customer feedback and text data.

1.4.2 Language Translation Services

Here learners explore how Azure AI translates text between different languages for global applications.

1.5 Choosing the Right Azure AI Service

This section helps learners understand how to select the correct Azure Cognitive Service based on different business problems.

1.5.1 Matching Problems to AI Solutions

This topic explains how to decide whether to use vision, language, or document AI services.

1.5.2 Designing AI-Powered Applications

Here learners learn how to combine multiple Azure AI services into a complete solution.

1.6 Final Skills and Learning Outcomes

By the end of this course, learners will be able to build intelligent applications using Azure Cognitive Services for vision, text analysis, OCR, and language processing.

They will gain practical experience integrating AI APIs into real-world applications for automation and business solutions.