🚀 2-Week Fast-Track Plan (For Urgent Prep)
👉 Best if you already have some Azure or AI basics.
Day 1–2: Azure AI Fundamentals
• Overview of AI workloads
• Azure AI services intro
• Learn:
o Azure Machine Learning basics
o Azure Cognitive Services
Day 3–5: Vision + Speech
• Image processing & OCR
• Face detection & analysis
• Speech-to-text, text-to-speech
👉 Focus tools:
• Azure AI Vision
• Azure Speech Service
Day 6–8: NLP (Most Important for Exam)
• Text analytics
• Language detection
• Key phrase extraction
• Chatbots
👉 Learn:
• Azure AI Language
• Azure Bot Service
Day 9–10: Generative AI + OpenAI
• Prompt engineering
• Deploying models
👉 Focus:
• Azure OpenAI Service

Day 11–12: Knowledge Mining
• Search + indexing
• Document extraction
👉 Tool:
• Azure AI Search
Day 13–14: Revision + Practice Tests
• Do mock exams
• Review weak areas
• Go through Microsoft Learn la
📘 4-Week Balanced Plan (Recommended)
👉 Best for most candidates
Week 1: Core Concepts
• AI workloads + responsible AI
• Azure basics + services overview
Week 2: Vision + NLP
• Work hands-on with:
o Vision APIs
o Language APIs
• Build small projects:
o Image caption generator
o Sentiment analyzer
Week 3: Bots + OpenAI
• Build chatbot using:
o Azure Bot Service
• Learn prompt engineering
• Use OpenAI APIs
Week 4: Search + Revision
• Implement:
o Document search system
• Practice tests + case studies
🧠 8-Week Deep Learning Plan (Best for Jobs + Interviews)
👉 Best if you're targeting Azure AI Engineer roles
Weeks 1–2: Foundations
• AI concepts + Azure basics
• Python basics (if needed)
Weeks 3–4: Vision + NLP Deep Dive
• Build:
o OCR pipeline
o Sentiment analysis app
• Understand API responses deeply
Weeks 5–6: OpenAI + Advanced AI
• Work with:
o Azure OpenAI Service
• Build:
o ChatGPT-like chatbot
o Q&A system
Week 7: Knowledge Mining + Search
• Build document intelligence system
• Use:
o Azure AI Search
Week 8: Real-World Projects + Mock
• 2–3 projects:
o Resume analyzer
o AI chatbot
o Image tagging system
• Practice exams + revision
🎯 Study Resources (Must Use)
• Microsoft Learn (official modules)
• Hands-on labs (VERY important)
• Practice tests
⚡ Pro Tips (From Real Interview Perspective)
• Don’t just memorize → know when to use which service
• Focus on:
o Vision vs NLP vs Search differences
• Be ready for:
o Scenario-based questions (very common)