AI-103 Tutorial #5🔥Generative AI & Prompt Engineering | Prompts, Grounding, Parameters & Reliable AI

🚀 *AI-103 Tutorial #5 — Generative AI Fundamentals & Prompt Engineering* Want to understand how Generative AI actually produces reliable and useful responses? In this *AI-103 Tutorial #5**, we dive into the fundamentals of **Generative AI and Prompt Engineering* — from writing effective prompts to controlling AI behavior and improving the reliability of generated responses. This tutorial covers the key concepts you need to understand when working with modern Generative AI applications and preparing for the **Microsoft AI-103 certification/exam**. 📚 In This Tutorial, You’ll Learn: ✅ What is Generative AI? ✅ What are prompts and how do they work? ✅ Instructions vs. context in AI prompts ✅ How to provide effective context to an AI model ✅ What is grounding and why is it important? ✅ Understanding AI model parameters ✅ How parameters influence generated responses ✅ Techniques for reliable and consistent AI generation ✅ How to improve prompt quality ✅ Common prompt engineering concepts ✅ Fundamentals of building reliable Generative AI applications 🧠 Key Concepts *Prompts • Instructions • Context • Grounding • Parameters • Inference • Reliable Generation • Prompt Engineering • Generative AI* Whether you're preparing for **AI-103**, learning Azure AI, or simply trying to understand how Generative AI applications work, this tutorial will give you a strong foundation. 📌 *AI-103 Tutorial Series:* This is *Tutorial #5* in our AI-103 learning series. Follow the complete series to build your understanding step-by-step. 👍 *Like* this video if you found it useful. 💬 *Comment* your questions or topics you'd like covered. 🔔 *Subscribe* for more AI-103 tutorials, Generative AI, Azure AI, and AI development content. #AI103 #GenerativeAI #PromptEngineering #AzureAI #MicrosoftAzure #ArtificialIntelligence #AI #PromptEngineering #AIArchitecture #AzureAIExam