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description: Technical Leader sharing practical guides on Microsoft Foundry, Azure AI, and cloud strategies. Building intelligent solutions and empowering teams to innovate.
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title: About
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title: About | AI & Cloud Architect
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description: Architect the future with AI and cloud. Explore Johan Rin's guides on Azure AI, Microsoft Foundry, cloud strategies, and generative AI workflows.
description: Practical guides on Microsoft Foundry, cloud strategies, and AI-powered applications. Learn to build intelligent solutions and master GenAI workflows.
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title: Call Your AWS Step Functions With API Gateway in Just a Few Lines With SAM
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date: 2021-05-03
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description: Learn how to integrate AWS Step Functions with API Gateway using SAM. Deploy serverless workflows easily with minimal YAML configuration.
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description: Learn how to integrate AWS Step Functions with API Gateway using SAM in just a few lines. Quick guide to deploy serverless workflows with minimal code.
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title: How I Passed the AZ-104 Microsoft Azure Administrator Exam
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date: 2021-01-16
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description: Learn how to pass the AZ-104 Microsoft Azure Administrator exam. Get tips, resources, and a proven study plan for success with CloudSkills and Whizlabs.
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description: Learn how to pass the AZ-104 Microsoft Azure Administrator exam. Get practical tips, study resources, and a proven preparation strategy for success.
After becoming Azure Solutions Architect Expert Certified in October, I challenged myself to pass the AZ-104 Microsoft Azure Administrator exam before the end of 2020!
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The course I used to complete my preparation was the [Azure Administrator (AZ-104) Exam Prep Course](https://cloudskills.io/courses/az-104).
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title: How I Passed the AZ-300 Microsoft Azure Architect Technologies Exam
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date: 2020-10-05
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description: Learn how to pass the AZ-300 Microsoft Azure Architect Technologies exam. Get expert tips, study resources, and a proven strategy for Azure certification success.
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description: Learn how to pass the AZ-300 Microsoft Azure Architect Technologies exam. Get practical tips, study resources, and a proven strategy for certification success.
After [passing the AZ-900 Microsoft Azure Fundamentals exam](https://www.freecodecamp.org/news/how-i-passed-the-az-900-microsoft-azure-fundamentals-exam/), I challenged myself to get Azure Solutions Architect Expert certified! I knew this would not be easy from the start, but it's [only my eighth challenge this year](https://www.freecodecamp.org/news/how-i-got-awscertified-and-got-a-job-during-the-pandemic/), and nothing could stop me!
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In the Azure world, to get certified Solutions Architect Professional, you need to pass two exams: Microsoft Azure Architect Technologies and Microsoft Azure Architect Design.
As the skills outline changed a bit between the [AZ-300](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE3VzwB) exam and [AZ-303](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE4psD6), be sure to check the appropriate one for your exam.
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Microsoft Learn has the advantages of having short scenarios with exercises you can try without delay.
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But to be honest, I didn't feel confident to take my exam after finishing all the learning paths. It was too theoretical for me, especially for an expert level exam. Because I had many doubts, I asked the Cloud community recommendations to finish my preparation, and many people recommended me CloudSkills. So I decided to give it a try!
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The course I used to complete my preparation was the [Azure Solutions Architect (AZ-30x) Exam Prep Course](https://portal.cloudskills.io/az-30x).
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The course cost $97, but you also have access to Whizlabs practice tests and the following content:
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For your hands-on labs, I recommend you to consolidate your knowledge with Thomas Maurer's study guides. He is a Senior Cloud Advocate at Microsoft and also former Microsoft MVP. He did a tremendous work summing up each Azure resources you need to pass your exam!
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The cool thing is he did that for all the following exams:
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title: What Exactly is Azure Resource Group?
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date: 2020-06-26
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description: Learn what Azure Resource Groups are, why they matter, and how to create one. Includes a step-by-step guide to deploy your first VM using Azure CLI.
When I first used Azure to create a virtual machine, I was confused by Azure resource groups. I didn't understand why I needed it because it doesn't exist in AWS!
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A **resource** is simply an instance of a service that you create in Azure. It can be anything! For example, virtual machines, web apps, databases, function apps, etc.
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When you deploy a resource in Azure, it has to be included in a **resource group**.
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If you have an AWS background like me, it's something weird, and I wanted to understand why I needed it.
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## Resource group
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Let's say you want to apply roles to all your productive resources. You don't need to apply them for each resource. You can directly add your roles to resource groups!
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Another benefit of resource groups is to force you to think about architecture. Every time you create a new resource, you have to think about which resource group you're gonna use. Because we tend to be uneasy with chaos, our brain gonna create order at some point.
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For sure, you can decide to put everything in the same resource group, but it's easy to move your resources from one resource group to another.
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Note: A resource group can contain resources located in different regions. For instance, you can have your virtual machine deployed in East US and your Azure Cosmos DB in West US.
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Resource Manager checks if you have the authorizations and forward the request to the Azure service, which takes the action: creating the virtual machine for instance.
With this layer, we can do more powerful things like automating deployment with templates. In Azure, we call that: **ARM template**! It's a chapter in itself and I'll write about it in another post.
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Azure Cloud Shell is an interactive, browser-accessible shell for managing Azure resources. We can use either Bash or PowerShell commands there.
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title: "How to Build Your First AI Agent in Microsoft Foundry"
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date: 2026-01-25
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description: "Learn how to build, configure, and publish your first AI agent using Microsoft Foundry."
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description: "Learn how to build, configure, and publish your first AI agent using Microsoft Foundry. Hands-on tutorial with step-by-step instructions."
Last time, we explored [what Microsoft Foundry is](https://johanrin.com/posts/getting-started-with-microsoft-foundry/) and why it matters.
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**Think of an agent like a chef in a kitchen.**
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A chef looks at the available ingredients, understands what dish needs to be prepared, chooses the right steps, then uses the tools in the kitchen to get the job done.
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-**Thinks**, by using an LLM as its brain to decide the next step
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-**Acts**, by performing tasks using the tools available to it
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Now that this is clearer, let's build our first agent.
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On the home page, select **Start building**, then choose **Create agent**.
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