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Course Duration

3 Half-Day Sessions (13.5 Hours)

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

Access to an Azure subscription (free or paid), familiarity with Azure services and cloud concepts, and a high-level understanding of generative AI and LLMs. Experience with Python or C#, and AZ-900 or AI-900 level knowledge, is helpful but not required.

Course Description

AI agents do more than answer questions: they plan, reason, take action, and adapt. This hands-on course moves past theory and has you build fully functional AI agents using Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI, then deploy them with enterprise-grade tooling. You will learn the architecture and lifecycle of an agent, connect agents to prompts, APIs, functions, and data sources, and walk through code in both C# and Python. The course closes with real-world integration patterns for customer support, finance and risk, healthcare, and manufacturing workflows, so you leave with a working agent and a reusable blueprint for leading agentic AI initiatives in your organization.

Learning Objectives

  • Explain the architecture and lifecycle of an AI agent, from prompt to plan to action
  • Use Azure AI Foundry and Azure OpenAI to create multi-step agents
  • Work with prebuilt models such as GPT and embeddings, and extend them
  • Deploy, monitor, and scale agent workflows in the cloud
  • Integrate agents with enterprise APIs, tools, and memory systems

Course Outline

1. What Is an AI Agent in Azure?
  • Agent architecture and capabilities
  • Agentic AI vs. traditional automation
  • Azure OpenAI model capabilities: GPT models, vision, and embeddings
  • Demo: agent behavior in the Azure playground
  • Limits, quotas, and pricing considerations
2. Agent Development with Azure AI Foundry
  • Introduction to Azure AI Foundry (formerly Azure AI Studio)
  • Building agents with planning, memory, and tools
  • Using prompts, APIs, functions, and data connectors
  • Demo: creating a workflow-aware agent project
3. Coding and Deploying AI Agents
  • Code walkthroughs in C# and Python
  • Calling agents via REST and SDKs
  • Deploying and testing agents in Azure
  • Monitoring usage, performance, and safety
4. Integrating Agents into Real Workflows
  • Customer support and ticketing
  • Finance and risk agents
  • Healthcare process automation
  • Manufacturing workflow optimization
  • Demo: connecting agents to enterprise APIs and tools

Frequently Asked Questions

What does the Agentic AI on Azure: Build, Deploy, and Scale Intelligent Agents in the Enterprise course cover?

Three half-day sessions. Build working AI agents with Azure AI Foundry and Azure OpenAI, then deploy, monitor, and integrate them with enterprise systems. IT Dojo delivers it as live instructor-led training for government, DoD, and corporate teams.

How long is IT Dojo's Agentic AI on Azure: Build, Deploy, and Scale Intelligent Agents in the Enterprise training?

Course length: 3 Half-Day Sessions (13.5 Hours). It is available as live remote online instruction or as a private session for your team.

Is this course available as live remote online training?

Yes. IT Dojo offers Agentic AI on Azure: Build, Deploy, and Scale Intelligent Agents in the Enterprise as live remote online training led by an instructor in real time. Private sessions for your organization can also be scheduled.

Who should attend this course?

Solution architects, developers, MLOps engineers, IT and innovation leaders, and product teams prototyping AI assistants, copilots, or workflow automation on Azure.

How do I register for this course?

IT Dojo training is employer sponsored. Your organization registers and pays for seats. Contact IT Dojo via the Request Training form or call 757-216-3656 to schedule this course for your team.

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