Build Your First AI Agent in .NET
2-Day Intensive
Companies are now deploying agents that book meetings, process invoices, answer support tickets, and make decisions. So it's time to learn how to build these systems.
Companies are now deploying agents that book meetings, process invoices, answer support tickets, and make decisions. So it's time to learn how to build these systems.
In this hands-on workshop, you'll build AI agents that can reason about data, use tools, and hold meaningful conversations.
You'll create a personal finance assistant. An agent that understands natural language, retrieves transaction data, maintains memory across conversations, and helps users make better financial decisions.
Along the way, we'll cover:
We'll use Azure AI services throughout the workshop, but the patterns and code apply to other providers like OpenAI, Anthropic, and Google.
By the end of this workshop, you'll have:
Is this workshop for you?
Yes, if you want to move beyond basic AI integration and build something that reasons.
This workshop is for developers who:
What you'll need
Custom programs available - Contact us to discuss your needs
You'll create a personal finance assistant. An agent that understands natural language, retrieves transaction data, maintains memory across conversations, and helps users make better financial decisions. We'll use Azure AI services throughout, but the patterns and code apply to other providers like OpenAI, Anthropic, and Google.
Start at the metal. Talk to an LLM over raw HTTP, then refactor behind a clean abstraction you'll build on all workshop.
Give the agent hands. Let it take actions and pull in external data, and learn what makes a tool the model can actually use.
Close the loop. Watch the agent reason, call tools, and iterate toward an answer, and keep it from running away.
Stop the agent forgetting. Carry context across turns, and keep it from blowing the context window.
Make it safe to ship. Confirm risky actions, defend against attacks, and see what your agent is doing.
Get it out of the console. Expose the agent over MCP, then see where frameworks take it next.
Join our next available sessions. Limited seats available.