📌 Phase 1: Foundation – AI Concepts + Azure Services

🔍 Goal:

Understand what AI is and how Azure enables AI.

✅ Key Azure Services:

Service	Description	Use Case
Azure Cognitive Services	Pre-built AI models for vision, speech, language, etc.	Face detection for security cameras
Azure Machine Learning	Full ML lifecycle management	Predict customer churn
Azure OpenAI Service	Use GPT-4, DALL·E, Codex models	AI support bots, content generation
Azure Form Recognizer	Extract data from documents	Invoice automation
Azure Bot Services	Build intelligent chatbots	HR helpdesk chatbot

🔧 Hands-On:

• Deploy a Face Recognition App using Azure Face API.
• Build a Language Translation App using Azure Translator.

📌 Phase 2: Real-World Use Case Projects

1️⃣ AI Support Chatbot (with Azure OpenAI + Azure Functions)

• Scenario: Helpdesk bot for IT queries in your company
• Services: Azure OpenAI, Logic Apps, Cosmos DB, App Service
• Skills: Prompt engineering, token management, function app triggers

2️⃣ Intelligent Document Processing (Form Recognizer + Logic Apps)

• Scenario: Automate data extraction from thousands of invoices
• Services: Form Recognizer, Blob Storage, Power Automate
• Skills: OCR, JSON transformation, automation workflow

3️⃣ Custom ML Model Deployment (Azure ML Studio)

• Scenario: Predict product demand using historical sales
• Services: Azure ML, Data Factory, Blob Storage
• Skills: Data wrangling, model training, versioning, endpoint deployment

4️⃣ AI-Powered Search (Azure Cognitive Search + Vision API)

• Scenario: Search images/documents by tags or extracted content
• Skills: Image analysis, index building, semantic search

5️⃣ Voice-Driven Inventory Assistant (Speech + LUIS + Azure Bot)

• Scenario: Warehouse assistant bot to manage stock via voice
• Skills: Voice-to-text, NLP with LUIS, conversational design

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📌 Phase 3: Capstone Project

Build a full-stack AI-enabled Web App:

• Azure OpenAI for smart responses
• Azure Form Recognizer for upload/document understanding
• Cosmos DB to save results
• Web UI in Blazor/React
• CI/CD with Azure DevOps

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🧠 Tools You’ll Use Along the Way:

• Azure AI Studio: No-code/low-code AI builder
• Azure ML Designer: Drag & drop ML pipelines
• Prompt Flow in Azure ML: Chain AI + logic
• GitHub Copilot: For ML coding assistance
• Power BI: AI Insights in business dashboards

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🔁 Weekly Plan (Customizable)

Week	Focus	Output
Week 1	AI Fundamentals + Azure Overview	AI concepts, basic services explored
Week 2	Cognitive Services	2 AI demos (Face, Translate)
Week 3	OpenAI and Prompt Engineering	AI chatbot deployed
Week 4	Azure ML	Custom ML model built
Week 5	Document Intelligence	PDF parser live
Week 6	Capstone + Resume Projects	Showcase project GitHub repo