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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.
- Customized 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.
Price per private group, online live training, starting from 1600 € + VAT*
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