Like Remy the rat in Ratatouille — “Anyone can Cook”.
With Azure AI Foundry, anyone can build AI. Just drag, drop, and let the bot cook. 👨🍳🤖
Welcome to the world of Azure AI Foundry, where Prompt Flow makes AI development feel less like programming and more like storytelling. Whether you’re an AI newbie or a seasoned dev, this platform strips away the noise and lets you focus on building agentic solutions with clarity and speed.
As part of the Microsoft AI Skills Fest, I participated in the challenge “Create Agentic AI Solutions with Azure AI Foundry” — and here are my key takeaways from Module 1 of the learning journey.
🔗 Quick Navigation 📌 Module 1: Plan and Prepare for AI Development on Azure 🔍 Module 2: Choose and Deploy Models in Azure AI Foundry 🔍 Module 3: What is Azure AI Foundry SDK? 🤖 Module 4 : Get Started with AI Agent Development on Azure 📚 Module 5 : Develop a RAG-Based Solution with Your Own Data Using Azure AI Foundry 🔒 Module 6: Introduction to AI Agent Service Security Controls 🤖 Module 7 Recap: Develop an AI Agent with Azure AI Agent Service 🧩 Module 8 Recap: Integrate Custom Tools into Your AI Agent 🧠 Module 9 Recap: Orchestrate a Multi-Agent Solution Using Semantic Kernel 📌 Module 1: Plan and Prepare for AI Development on Azure I’ve kicked off the AI Skills Fest Challenge by diving into Module 1: Plan and prepare to develop AI solutions on Azure.