Welcome to this hands-on AI-900 lab session, where we explore Prompt Engineering techniques using Azure AI! Prompt engineering is the key to optimizing interactions with AI models like OpenAI’s GPT in Azure, enabling more accurate, efficient, and context-aware responses. Whether you're preparing for the Microsoft AI-900 Certification or looking to enhance AI-driven applications, this step-by-step tutorial will guide you through best practices for crafting effective prompts.
🔍 What You’ll Learn in This Video:
1️⃣ Introduction to Prompt Engineering & its importance
2️⃣ Understanding how AI models interpret prompts
3️⃣ Techniques for crafting effective prompts (Zero-shot, Few-shot, Chain-of-Thought, etc.)
4️⃣ Using Azure OpenAI Service for prompt optimization
5️⃣ Real-world applications of prompt engineering
6️⃣ Tips to improve AI model accuracy & efficiency
🛠️ Who Is This For?
AI & ML Enthusiasts exploring AI-powered applications
Developers & data scientists working with Azure AI models
Professionals preparing for the Microsoft AI-900 Certification
Businesses looking to enhance AI chatbots, automation & NLP solutions
📌 Key Highlights:
✅ Hands-on demo of prompt engineering in Azure AI
✅ Best practices for structuring AI prompts for better responses
✅ Improving AI accuracy & efficiency with optimized prompts
✅ Use cases for chatbots, customer support, content generation & more
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