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Course Outline

Foundations of Model Context Protocol

  • What MCP is and how it supports enterprise AI agent integration
  • Core concepts such as clients, servers, tools, resources, and prompts
  • Enterprise use cases and where MCP fits in an architecture landscape
  • MCP compared with custom integrations and API-only approaches

Designing the Enterprise MCP Architecture

  • Core platform components, interaction flows, and trust boundaries
  • Centralized versus distributed integration models
  • Designing for reuse, control, and separation of responsibilities
  • Aligning MCP with existing enterprise architecture standards and platforms

Integration Patterns for Systems and Tools

  • Connecting agents to business applications, data services, and internal tools
  • Patterns for tool exposure, resource access, and request routing
  • Handling legacy systems, service boundaries, and integration constraints
  • Designing clear interfaces and contracts for reliable interoperability

Security, Access Control, and Governance

  • Authentication, authorization, and least-privilege design
  • Data protection, policy enforcement, and auditability
  • Guardrails for tool usage and sensitive resource access
  • Governance roles, approval processes, and compliance considerations

Operations, Deployment, and Adoption Planning

  • Monitoring usage, failures, and platform health
  • Versioning, lifecycle management, and change control
  • Cloud, on-premise, and hybrid deployment considerations
  • Creating a practical rollout roadmap and target operating model

Architecture Workshop

  • Reviewing a realistic enterprise AI integration scenario
  • Identifying key risks, controls, and architecture decisions
  • Drafting a reference architecture for a secure MCP-based agent platform
  • Presenting design choices and defining next steps

Requirements

  • Understanding of enterprise architecture and system integration concepts
  • Familiarity with APIs, cloud or on-premise platforms, and basic security controls
  • Experience in technical solution design or architecture discussions

Audience

  • Enterprise architects and solution architects
  • AI platform architects and technical leads
  • Integration, security, and governance stakeholders involved in enterprise AI initiatives
 7 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from £1600 + VAT*

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