Best Study Schedule for AI-102: 2-Week, 4-Week & 8-Week Plans
🚀 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:
- Azure Machine Learning basics
- 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:
- Vision APIs
- Language APIs
- Build small projects:
- Image caption generator
- Sentiment analyzer
Week 3: Bots + OpenAI
- Build chatbot using:
- Azure Bot Service
- Learn prompt engineering
- Use OpenAI APIs
Week 4: Search + Revision
- Implement:
- 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:
- OCR pipeline
- Sentiment analysis app
- Understand API responses deeply
Weeks 5–6: OpenAI + Advanced AI
- Work with:
- Azure OpenAI Service
- Build:
- ChatGPT-like chatbot
- Q&A system
Week 7: Knowledge Mining + Search
- Build document intelligence system
- Use:
- Azure AI Search
Week 8: Real-World Projects + Mock
- 2–3 projects:
- Resume analyzer
- AI chatbot
- 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:
- Vision vs NLP vs Search differences
- Be ready for:
- Scenario-based questions (very common)
- Cars & Motorsport
- Art
- Causes
- Crafts
- Dance
- Drinks
- Film
- Fitness
- Food
- Jocuri
- Gardening
- Health
- Home
- Literature
- Music
- Networking
- Alte
- Party
- Religion
- Shopping
- Sports
- Theater
- Wellness
- IT, Cloud, Software and Technology