AI-102: Designing and Implementing an Azure AI Solution

This repository contains hands-on code samples, datasets, and demo projects designed to support learning and exam preparation for AI-102: Designing and Implementing an Azure AI Solution certification.

Each module aligns with the core topics of the AI-102 exam, featuring practical implementations of Azure Cognitive Services and Azure Machine Learning components.

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📁 Project Structure

🔹 Azure Open AI

• Simple app using Azure OpenAI for prompt completion and text generation.
• templates/, app.py, and requirements.txt provided for quick deployment.

🔹 Conversational Language Understanding (CLU)

• Demo project using CLU to understand user intents and extract entities.
• Includes a JSON file (pizza_clu_sample_utterances.json) with training utterances.

🔹 Custom NER (Named Entity Recognition)

• Custom NER implementation using labeled .txt samples from financial_entities_txt.
• Useful for training Azure Language Studio to recognize financial terms like stock tickers, forex, and cryptocurrencies.

🔹 Custom QnA

• Question Answering app using custom knowledge bases.
• Built to integrate with Azure Language Services.

🔹 Custom Skill Set (Azure AI Search)

• Demonstrates how to create a custom skillset using:
  • index.json, indexer.json, skillset.json
  • Example files: employee-report.txt, project-plan.txt, meeting-minutes.txt

🔹 Custom Text Classification

• Uses training_data_custom to train a classification model in Azure Language Studio.
• Classifies documents into predefined categories.

🔹 Document Intelligence

• Analyze US Green Card documents (id1.jpeg, id2.jpg) using Azure Document Intelligence.
• app.py implements document analysis and field extraction.

🔹 Enrichment Pipeline

• Azure Cognitive Search pipeline example to extract structured data from resumes.
• Includes PDF files and complete index.json, indexer.json, and skillset.json.

🔹 Face Detection using Face API

• Detect faces from images using Azure Face Service.
• app_face_detection.py for the Face API demo.

🔹 Image Analysis using Azure Vision

• Analyze images for objects, OCR, and tags using:
  • app_image_analysis.py
  • app_ocr.py

🔹 Language Services Demos

• Scripts showcasing various Azure Language services:
  • app_entity_linking.py
  • app_key_phrase_extraction.py
  • app_lang_detection.py
  • app_ner.py
  • app_pii_detection.py
  • app_sentiment_analysis.py
  • app_summarization.py

🔹 RAG (Retrieval-Augmented Generation)

• Example app for combining Azure OpenAI with Azure AI Search.
• PDF Project_Orion_Confidential.pdf used for RAG implementation.

🔹 Speech Services

• Text-to-speech (app_tts.py)
• Speech-to-text (app_stt.py)
• Translation (app_translate.py)
• SSML custom voices (app_ssml.py)
• Output file: output_audio.wav

🔹 Translation Services

• Translate text using Azure Translation API.

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