Build trusted enterprise AI agents with OriginTrail &  Microsoft

Structured memory, verifiable knowledge, and enterprise-ready intelligence

Learn how Microsoft AI tools, the Model Context Protocol (MCP), and the OriginTrail Decentralized Knowledge Graph (DKG) work together to power enterprise AI agents with structured, verifiable memory, ready for real-world governance, collaboration, and scale.
Format

Online
course

Total duration

~2–3 hours

Instructors

Branimir
Rakić

  

Chris
Coulthrust

Jurij
Škornik

Price

Free

What is this course about?

Artificial intelligence is becoming embedded across enterprise workflows. As Microsoft Copilot and other AI tools increasingly serve as the interface for AI-driven work, organizations are looking to extend their capabilities beyond prompt-based interactions toward structured, collaborative, and accountable intelligence systems.

This course explores how Microsoft AI tools, the Model Context Protocol (MCP), and the OriginTrail Decentralized Knowledge Graph (DKG) combine to enable AI agents built on structured, verifiable, and interoperable knowledge foundations.
Rather than focusing only on model capability, the course addresses the infrastructure required to deploy AI sustainably at enterprise scale:
  • Reliable knowledge retrieval (not just text generation)
  • Structured memory shared across teams and tools
  • Provenance, integrity, and versioning
  • Interoperability and composable agent architectures
  • Auditability and enterprise governance readiness

Why does this matter?

Enterprise AI adoption is hitting a new ceiling: trust and accountability.

In real environments, agents must operate on knowledge that is:
  • Structured (usable across systems and teams)
  • Interconnected (linking sources, not copying fragments)
  • Verifiable (anchored integrity, provenance, and ownership)
  • Portable (usable across apps, agents, and ecosystems)
  • Compliant (auditable, permission-aware)
This course teaches you how to design and architect trusted enterprise agentic system and practically shows you how connecting Microsoft Copilot to a verifiable memory layer via MCP and DKG enables the next generation of enterprise AI agents.

What will you learn?

Through this course, you will learn to:
  • Design and architect trusted enterprise AI agents, selecting the right patterns for deterministic and probabilistic workflows, including single-agent and multi-agent systems.
  • Choose the appropriate development stack — from pro-code frameworks to Copilot Studio — balancing control, scalability, speed, and governance.
  • Implement persistent, structured, and verifiable memory, grounding agents in shared knowledge with the OriginTrail DKG instead of relying on temporary chat context.
  • Orchestrate and integrate agents securely across enterprise systems, using standardized protocols like MCP and workflow-driven designs.
  • Deploy production-ready agent systems aligned with enterprise strategy, security, governance, and measurable business outcomes.
  • Bring trusted AI agents, grounded in  structured, verifiable memory, directly into Microsoft Teams workflows with OriginTrail.
By the end of the course, you will have:
  • A thorough understanding of how to:
  • Design enterprise-ready trusted AI agent architectures, selecting between single-agent and multi-agent patterns and applying appropriate orchestration strategies.
  • Integrate agents securely into enterprise workflows, using standardized protocols (MCP), managed identities, and governance-aware configurations.
  • Implement persistent, shared agent memory, enabling agents to write and retrieve verifiable knowledge with OriginTrail instead of relying on private, ephemeral chat history.
  • Built and deployed a Microsoft Copilot agent connected to the OriginTrail DKG via MCP, capable of publishing and querying structured, verifiable knowledge in Microsoft Teams.

Who is this course for?

This course is for you if you are:
  • A member of an enterprise AI, data, or platform team
  • Microsoft Copilot Studio builder
  • Architect designing agent systems and tool integrations
  • Compliance, governance, and risk professional supporting AI deployment
  • Product owner bringing AI into Microsoft Teams and business workflows
Not required:
  • Deep blockchain knowledge
  • Deep agentic AI knowledge
  • Prior OriginTrail experience

About the instructors

Branimir Rakić

Founder and CTO @OriginTrail

With deep experience in decentralized and semantic networks, Branimir is the leading architect and creator of the OriginTrail DKG, building technology for discoverable, verifiable, AI-ready knowledge to power decentralized and trusted AI.

Chris Coulthrust

Principal Solution Architect, Data & AI @Microsoft

With extensive experience delivering AI and data solutions in enterprise environments, Chris combines deep technical expertise in software architecture and intelligent systems with a strong background in business strategy and large-scale implementation.

Jurij Škornik

General Manager @Trace Labs — OriginTrail Core Developers

With a passion for Web3 and AI, and supply chain expertise from DHL, Jurij leads key OriginTrail-powered projects with global partners across diverse industries — from supply chains to healthcare, construction, and assurance — helping them unlock value through the OriginTrail trusted knowledge foundation for the AI era.
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