Agentic AI in Practice
Two days high energy workshop to build real Agentic AI for enterprises using the Microsoft stack
Most organizations have tried an AI tool. Far fewer have deployed an AI system. An AI system connects to your data, executes workflows, talks to other systems, and operates autonomously inside your enterprise. That's what agentic AI is and that's what this workshop helps you to build.
Over two days, you'll move from understanding the architecture of agentic systems to having working enterprise AI assistants running in your hands, connected to real data, real workflows, and ready to scale.
The journey:
Day 1 has one goal: by the time you leave, you'll have built a working AI agent. Something you designed and assembled yourself, using the same patterns you'd use back at work.
You’ll use:
- Copilot Studio to build AI Assistant
- Power Automate so it can trigger real business actions
- MCP to extend it to external tools and systems so it can operate across your enterprise stack
Day 2 focuses on how can we scale it: The agent you built on Day 1 becomes the foundation. Now you learn to turn it into an enterprise system.
You’ll have:
- A scalable architectural model for enterprise AI
- Multi-agent orchestration patterns for complex, cross-departmental workflows
- A governance and security framework built for the Microsoft tenant
Who should attend this?
- Developers - Devs and engineers who are extending Microsoft’s AI stack can come to understand how MCP enables clean collaboration between pro-code and low-code teams, and how to design the backend that makes agents enterprise-capable.
- Power Platform makers and administrators – Citizen developers and power users come to go significantly deeper than basic AI training. This workshop shows you how to build agents that are genuinely autonomous, not just chatbots with better prompts. Importantly, how to connect your apps to the rest of your enterprise stack.
- Enterprise architects and decision makers – Architects come to evaluate the Agents architecture that you can defend to your CTO, and tools and practices to enable your teams to use AI.
No prior experience with agentic systems is required. Comfort with Microsoft 365 or Power Platform is helpful, but we start from first principles on Day 1.
What will you be able to do?
- Design and deploy AI agents that connect to real enterprise systems and data
- Extend agents beyond Copilot Studio using MCP, without rebuilding your existing stack
- Coordinate multiple agents to handle complex, multi-step workflows across departments
- Make informed decisions about when to use low-code vs. pro-code approaches
- Secure, monitor, and govern agents within your Microsoft tenant
- Present a credible, defensible agentic AI strategy to both technical and executive stakeholders
What do you take home?
- A working agentic enterprise assistant, built by you during the workshop
- A scalable architectural blueprint for your organization's AI layer
- A governance and deployment framework ready for internal review
- A personal roadmap for rolling out agentic AI within your team or organization
- Certificate of Completion
- Full session recording for team members who couldn't attend live
Two days high energy workshop to build real Agentic AI for enterprises using the Microsoft stack
Most organizations have tried an AI tool. Far fewer have deployed an AI system. An AI system connects to your data, executes workflows, talks to other systems, and operates autonomously inside your enterprise. That's what agentic AI is and that's what this workshop helps you to build.
Over two days, you'll move from understanding the architecture of agentic systems to having working enterprise AI assistants running in your hands, connected to real data, real workflows, and ready to scale.
The journey:
Day 1 has one goal: by the time you leave, you'll have built a working AI agent. Something you designed and assembled yourself, using the same patterns you'd use back at work.
You’ll use:
- Copilot Studio to build AI Assistant
- Power Automate so it can trigger real business actions
- MCP to extend it to external tools and systems so it can operate across your enterprise stack
Day 2 focuses on how can we scale it: The agent you built on Day 1 becomes the foundation. Now you learn to turn it into an enterprise system.
You’ll have:
- A scalable architectural model for enterprise AI
- Multi-agent orchestration patterns for complex, cross-departmental workflows
- A governance and security framework built for the Microsoft tenant
Who should attend this?
- Developers - Devs and engineers who are extending Microsoft’s AI stack can come to understand how MCP enables clean collaboration between pro-code and low-code teams, and how to design the backend that makes agents enterprise-capable.
- Power Platform makers and administrators – Citizen developers and power users come to go significantly deeper than basic AI training. This workshop shows you how to build agents that are genuinely autonomous, not just chatbots with better prompts. Importantly, how to connect your apps to the rest of your enterprise stack.
- Enterprise architects and decision makers – Architects come to evaluate the Agents architecture that you can defend to your CTO, and tools and practices to enable your teams to use AI.
No prior experience with agentic systems is required. Comfort with Microsoft 365 or Power Platform is helpful, but we start from first principles on Day 1.
What will you be able to do?
- Design and deploy AI agents that connect to real enterprise systems and data
- Extend agents beyond Copilot Studio using MCP, without rebuilding your existing stack
- Coordinate multiple agents to handle complex, multi-step workflows across departments
- Make informed decisions about when to use low-code vs. pro-code approaches
- Secure, monitor, and govern agents within your Microsoft tenant
- Present a credible, defensible agentic AI strategy to both technical and executive stakeholders
What do you take home?
- A working agentic enterprise assistant, built by you during the workshop
- A scalable architectural blueprint for your organization's AI layer
- A governance and deployment framework ready for internal review
- A personal roadmap for rolling out agentic AI within your team or organization
- Certificate of Completion
- Full session recording for team members who couldn't attend live
Meet Your Instructors
Christoffer Noring
Senior Advocate, Microsoft
Chris works as a Senior Advocate at Microsoft and focuses on application development and AI. He's a Google Developer Expert and a public speaker on 100+ presentations across the world. Additionally, he's a tutor at the University of Oxford on cloud patterns and AI. Chris is also a renowned author of several technology books.
Griffin Lickfeldt
Senior Power Platform Consultant, Confluent
Griffin is an AI and Power Platform Solutions Architect focused on helping organizations turn AI into real, measurable business outcomes. He designs and builds AI agents using Copilot Studio, develop apps and automations across the Power Platform, and extend Microsoft 365 Copilot to support modern, enterprise-scale workflows.
Keynote speaker
Femke Cornelissen
Chief of Agentic Work, Wortell
Femke bridges strategy and technology to help organizations unlock the full potential of tools like Microsoft Copilot, driving measurable impact in adoption, productivity, operational excellence, and employee well-being. She is a recognized Microsoft MVP, an international speaker, podcast host, and thought leader committed to reshaping the future of work.
Lineup
Femke Cornelissen
Christoffer Noring
Griffin Lickfeldt
Good to know
Highlights
- 1 day 4 hours
- Online
Refund Policy
Location
Online event
Agenda
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Day 1: Designing & Building Your First Agentic Application
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Session 1: The Agentic Enterprise in Practice
What makes a system truly “agentic” Copilots, agents, and workflows and how they fit together Identifying high-impact enterprise use cases
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Session 2: Building with Copilot Studio (Hands-On)
Creating an enterprise-ready agent Designing instructions and defining agent behavior Grounding the agent in organizational knowledge Testing real-world scenarios