Enterprise AI Agents on Azure (Microsoft Foundry)

No exam fee, no subscription required for the Microsoft Applied Skills badge itself — this is a key difference from the AWS Bedrock add-on, which requires an AWS Skill Builder subscription. The badge lab runs in a Microsoft-provisioned environment. You will need an Azure account for the hands-on labs in Modules 1–3; the Azure free credit setup is covered in the first module to help you avoid unnecessary API costs.

Yes — completion of the AgileFever Agentic AI Bootcamp is the prerequisite. This add-on builds directly on those skills and does not re-teach agentic fundamentals. If you have equivalent hands-on experience building multi-agent systems from another program, contact us to discuss your eligibility.

The 45-minute lab requires you to build and configure an AI agent in Azure AI Foundry — covering agent creation, tool attachment, RAG connection, and deployment. It runs in a live Azure environment. If you do not pass on the first attempt, the lab can be reattempted through Microsoft Learn. The instructor walkthrough immediately before the lab is specifically designed to walk you through exactly what the assessment tests.

Microsoft has committed $17.5 billion to Azure cloud and AI infrastructure in India through 2029. TCS, Infosys, Wipro, and Cognizant have each committed to deploying over 50,000 Microsoft Copilot licences, with Azure AI Foundry as the core build platform. In Europe, Azure is similarly dominant in regulated industries like banking, healthcare, and government — sectors that require in-country processing that Azure’s sovereign cloud options support. For IT professionals in these markets, Azure AI Foundry proficiency is a practical career requirement, not just a differentiator.

Yes — Azure AI Foundry is a relatively new service that unified Azure AI Studio and the agent builder tooling, so even experienced Azure engineers often haven’t worked with it in depth. The bootcamp covers the Foundry Agent Service specifically (not just Azure OpenAI), Semantic Kernel SDK orchestration, Azure AI Search RAG integration, and agent monitoring — areas where most Azure generalists have gaps.

Semantic Kernel is Microsoft’s open-source SDK for orchestrating AI agent workflows in Python and C#. It is the recommended orchestration layer for enterprise Azure AI deployments and is what large enterprises — including those using the Microsoft stack at TCS and Infosys — use to build production multi-agent systems. The bootcamp covers it because you cannot build reliable, scalable Azure agents without understanding how Semantic Kernel connects models, tools, and memory.

Yes — the bootcamp specifically covers converting existing CrewAI and LangGraph agents into Azure-hosted systems. This is one of the most practically valuable modules for engineers who have already prototyped agents using popular frameworks and now need to move those workloads to enterprise Azure infrastructure.

The two add-ons target different cloud stacks. The Azure add-on (Track A) is designed for India and Europe professionals working in Microsoft-native environments; the AWS add-on (Track B) targets US and Canada professionals in AWS-native environments. If your work spans both clouds — which is increasingly common in enterprise consulting — doing both gives you a dual-cloud agentic AI credential set that is genuinely rare in the market. The Azure badge is free; the AWS badge requires an AWS Skill Builder subscription.

Yes — corporate cohorts are available with flexible scheduling and bulk pricing. The add-on can run as a half-day intensive, split across two 2-hour sessions, or scheduled immediately after a core bootcamp batch. Contact AgileFever at training@agilefever.com for a quote and to discuss scheduling options for your team.