OVERVIEW
Transition from theory to practice in this hands-on exploration of Model Context Protocol (MCP) and agentic applications. We will move beyond the basics, demonstrating how to bridge the gap between AI potential and enterprise reality using a real-world example.
What You’ll Learn
In this session, we will walk through the architecture of modern, agentic applications, beginning with off-the-shelf tools and progressing to a custom agentic application.
Key Takeaways:
- Practical Implementation: Discover how to connect your existing infrastructure to MCP servers for immediate connectivity.
- Architectural Blueprint: Analyze an agentic application in-depth that demonstrates the power of autonomous agents.
- Business Impact: Understand how to achieve measurable gains, transforming processes from days-long manual cycles to minutes-long automated decisions, while improving auditability and fairness.
Join us to see the "handshake" of modern AI architecture in action and learn how to implement these patterns in your own environment.
Any questions? Reach out to infrastructure@redhat.com.
Virtual Event Details
- Date: June 28, 2026
- Time: 11:00 AM - 12:00 PM ET
- Format: Virtual only
Related On-demand Webinars
- From AI Features to AI Systems: Why Application Architecture Is Changing
- Deep Dive: What Is Model Context Protocol (MCP) and Why It Matters
Presenters
Bob Kozdemba
Principal Specialist Solution Architect, Red Hat
Bob Kozdemba is a Principal Specialist Solution Architect at Red Hat who helps customers and business partners build best of breed application developer solutions on enterprise platforms. He has a long standing career working with open source technologies including Linux, Kubernetes, programming languages and AI/ML frameworks. Bob holds an M.S. in Computer and Information Science and an M.B.A from the University of Maryland.
Chad Darby
Principal Specialist Solutions Architect, Red Hat
Chád Darby is a Principal Specialist Solutions Architect at Red Hat who partners with executive stakeholders to address the governance, data privacy, and compliance challenges of enterprise AI. A veteran of the industry with 30 years of experience, he provides the strategic and technical leadership necessary to build reliable, enterprise-grade AI systems on modern cloud platforms. Chád holds a B.S. in Computer Science from Carnegie Mellon University.
Chris Kang
Principal Specialist Solution Architect, Red Hat
Chris Kang is a Principal Specialist Solution Architect at Red Hat. His focus is helping customers build AI solutions using open source technologies. Prior to Red Hat, Chris worked with Fortune 500 companies to implement cloud native architectures using cloud computing, container platforms, data analytics, and AI/ML. Chris is a passionate learner and driven by customer success. He has a B.S. in Electrical Engineering from Northwestern University and a M.S. in Computer Science from The University of Chicago.
