Agentic AI on Azure

The next generation of software is agentic. These AI agents don't just respond — they plan, reason, act, and adapt.

Overview

From copilots to autonomous systems, enterprises are rearchitecting workflows around agents. In this hands-on course, you'll go beyond theory. You’ll build fully functional AI agents using Azure AI Studio and Azure OpenAI — and deploy them using enterprise-grade tools. Whether you’re a developer, architect, or tech leader, this course gives you the blueprint to lead the agentic shift in your org.

Train up your teams with private group training

Have a group of 5 or more students? Cprime also provides specialist private training with exclusive discounts for tailored, high-impact learning.

Full course details

Course outline

Part 1: What Is an AI Agent in Azure?

  • Understand the fundamentals of AI agents and Azure’s ecosystem
  • Overview of agent architecture and capabilities
  • Agentic vs traditional automation: key differences
  • Introduction to Azure OpenAI & model capabilities (GPT-4, vision, embeddings)
  • Demo: Agent behavior in the Azure Playground
  • Limits, quotas, and pricing considerations
  • Q&A + Discussion

Part 2: Agent Development with Azure AI Studio

  • Hands-on with Azure’s flagship tool for agent workflows
  • Introduction to Azure AI Studio (aka AI Foundry)
  • Building agents with planning, memory, and tools
  • Using prompts, APIs, functions, and data connectors
  • Demo: Creating a workflow-aware agent project
  • Q&A + Demo Extension

Part 3: Coding and Deploying AI Agents

  • From concept to cloud — deploy your agents
  • Code walkthroughs in C# and Python
  • Calling agents via REST and SDKs
  • Deploying and testing agents in the Azure cloud
  • Monitoring usage, performance, and safety
  • Break + Q&A

Part 4: Integrating Agents into Real Workflows

  • Bring agents to life in real-world use cases
  • Customer support and ticketing systems
  • Finance and risk agents
  • Healthcare process automation
  • Manufacturing workflow optimization
  • Demo: Connecting to enterprise APIs and tools
  • Wrap-up Q&A and feedback
Audience / prerequisites

You will need:

  • Access to an Azure subscription (free or paid)
  • Familiarity with Azure services and cloud concepts
  • A high-level understanding of generative AI and LLMs
  • (Optional but helpful) Experience with Python or C#

This course is great for

  • Solution architects exploring how to integrate agents into enterprise systems
  • Developers & MLOps engineers building with Azure AI and OpenAI APIs
  • IT and innovation leaders designing intelligent automation across business functions
  • Product teams prototyping AI-driven assistants, copilots, or workflow tools

 

In this class you will learn how to
  • Understand the architecture and lifecycle of AI agents — from prompt to plan to action
  • Leverage Azure AI Studio + Azure OpenAI to create powerful multi-step agents
  • Use prebuilt models (GPT-4, Embeddings, Cognitive Services) and build your own
  • Deploy, monitor, and scale agent workflows in the cloud
  • Integrate agents with enterprise APIs, tools, and memory systems
Cancellation Policy

A full refund will be issued for class cancellations made at least 10 business days before the course begins. Payment is nonrefundable for cancellations or reschedules made within 10 business days from the course start date and for no-shows (students who do not attend class). For reschedules made within 10 business days from the course start date, students will be responsible for a $200 administrative fee.

Request Private Group Training