AI Apps: From LLMs to Agentic AI Systems (with Azure)

This session walks attendees through a practical progression of building real-world AI systems:

LLM app foundations (prompting, tool use, reliability basics)
RAG done right (retrieval design, chunking, grounding, citations)
Copilots & dev assistants (how to design assistive workflows and context)
Agents & multi-agent systems (planning, tools, memory, orchestration)
Evaluation & guardrails (hallucination mitigation, safety boundaries, monitoring)

Attendees leave with repeatable patterns and a production checklist they can apply immediately—especially in Azure-centric architectures (Azure OpenAI, Azure AI Search, Functions, App Service/Container Apps, Prompt Flow/eval pipelines, observability).

Azure AI Foundry: From AI Experiments to Enterprise-Grade AI Agents

Enterprises are moving beyond AI pilots toward governed, production-ready AI agents—but fragmented tools and operational complexity often slow progress. In this session, we explore Azure AI Foundry, Microsoft’s unified platform for building, deploying, and operating enterprise-scale AI applications and agents. Learn how Foundry brings models, data, orchestration, security, and observability together to help organizations move from copilots to real, business-impacting AI systems

Connected Intelligence: Building Agents with Copilot Studio, AI Builder & AI Search

This workshop explores how to build and extend AI-powered agents using Microsoft Copilot Studio, AI Search, AI Builder and Power Automate to enhance user experiences and automate business processes. Attendees will gain practical insights through live demos, real-world use cases, and integration best practices.

Key Highlights:

-Introduction to Copilot Studio’s low-code/no-code capabilities for AI agent development
-Extending agent intelligence with AI Foundry
-Automating workflows and triggering actions using Power Automate
-Integrating agents with Power Platform, Dataverse, and enterprise systems
-Live demonstration of an AI-powered agent in action
-Best practices and real-world scenarios for deploying AI-driven solutions

Learning Objectives:
1. Develop and Deploy AI Agents – Learn how to design, build, and deploy AI agents using Microsoft Copilot Studio’s low-code/no-code capabilities.
2. Enhance AI Agents with Automation – Understand how to integrate AI Foundry for smarter decision-making and leverage Power Automate flows to automate workflows and trigger actions.
3. Integrate AI Agents with Enterprise Systems – Explore integration techniques with Power Platform, Dataverse, and other data sources to create seamless and efficient AI-driven solutions.

AI Apps: From LLMs to Agentic AI Systems (with Azure)

This session walks attendees through a practical progression of building real-world AI systems:

LLM app foundations (prompting, tool use, reliability basics)
RAG done right (retrieval design, chunking, grounding, citations)
Copilots & dev assistants (how to design assistive workflows and context)
Agents & multi-agent systems (planning, tools, memory, orchestration)
Evaluation & guardrails (hallucination mitigation, safety boundaries, monitoring)

Attendees leave with repeatable patterns and a production checklist they can apply immediately—especially in Azure-centric architectures (Azure OpenAI, Azure AI Search, Functions, App Service/Container Apps, Prompt Flow/eval pipelines, observability).

Audience level: Intermediate
Pre-reqs (Required):
- Comfortable with APIs, JSON, and basic backend concepts (auth, logging, retries).
- Familiarity with LLM basics (tokens, temperature, prompt/response).
- Built at least one small LLM prototype or used an LLM SDK.

Pre-reqs (Helpful):
- Basic understanding of vector search / embeddings.
- Familiarity with Azure (App Service/Functions, Azure OpenAI, Azure AI Search) is helpful but not mandatory.

Azure AI Foundry: From AI Experiments to Enterprise‑Grade AI Agents

As organizations move beyond AI pilots and copilots, they face fragmented tools, governance challenges, and difficulty scaling AI into real business workflows. This session introduces Azure AI Foundry, Microsoft’s unified platform for building, deploying, and operating enterprise AI applications and agents. Attendees will see how Foundry brings together models, agent orchestration, secure RAG, and observability into a single control plane—and watch a live demo of an AI agent moving from prompt to production‑ready workflow.

- General understanding of cloud and AI concepts
- Familiarity with Azure and Microsoft ecosystem is helpful but not required
- No coding experience required for this session

Azure AI Foundry Workshop

This hands‑on workshop dives deeper into Azure AI Foundry as a production‑grade platform for enterprise AI agents. Participants will explore Foundry’s architecture, agent service, model catalog, secure RAG with Foundry IQ, and enterprise governance. Through guided exercises, attendees will design and implement an AI agent that integrates with enterprise data and workflows, while applying identity, observability, and cost controls from day one.

- Working knowledge of Azure fundamentals
- Basic understanding of LLMs, RAG, and AI agents
- Familiarity with at least one of the following: Python, REST APIs, or Azure services
- Optional: Azure subscription access for hands‑on exercises