Advanced Developer Training

MCP & AI Agent Development

Master Model Context Protocol, autonomous agent architecture, and multi-step orchestration for production AI systems.

Price $5,000
Duration 2 Days (12 Hours)
Format 100% Virtual
Level Advanced
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What You'll Learn

MCP Protocol Mastery

Deep understanding of Model Context Protocol specification, server implementation, resource management, and client integration patterns.

Agent Architecture

Autonomous agent design patterns, decision-making loops, state management, and multi-step reasoning frameworks for complex tasks.

Tool Orchestration

Sophisticated tool chaining, capability composition, dependency resolution, and decision trees for multi-step agent workflows.

Agent Evaluation

Testing frameworks, performance metrics, agent benchmarking, and continuous improvement strategies for production agents.

2-Day Curriculum (6 hours/day)

100% Virtual Training • Advanced Labs • Production Agent Builds

Day 1 MCP Protocol & Server Development
09:00 - 10:30 (1.5 hours)
MCP Protocol Deep Dive
Protocol Specification Architecture Overview Capability Discovery Message Formats
10:45 - 12:15 (1.5 hours)
Building MCP Servers
Server Implementation Transport Layer Error Handling Testing Strategies
13:15 - 14:45 (1.5 hours)
Tool Definition & Resource Providers
Schema Design Resource Management Sampling Strategies Dynamic Resources
15:00 - 16:30 (1.5 hours)
Agent Architecture Patterns
Agent Loops State Management Memory Systems Context Windows
Day 2 Advanced Agent Orchestration & Deployment
09:00 - 10:30 (1.5 hours)
Multi-Step Orchestration & Chaining
Tool Chains Dependency Graphs Conditional Logic Async Execution
10:45 - 12:15 (1.5 hours)
Decision Trees & Agent Reasoning
Decision Frameworks Confidence Scoring Fallback Patterns Explainability
13:15 - 14:45 (1.5 hours)
Agent Testing & Evaluation
Test Frameworks Metrics Design Benchmarking Continuous Eval
15:00 - 16:30 (1.5 hours)
Deployment, Monitoring & Capstone Build
Production Deployment Observability Scaling Strategies Live Agent Demo

What You'll Build

🔧

Production MCP Server

Complete Model Context Protocol server with resource providers, tool definitions, and enterprise-grade error handling.

🤖

Multi-Step AI Agent

Autonomous agent system with complex reasoning, multi-tool orchestration, and stateful decision-making loops.

⚙️

Tool Orchestration System

Sophisticated tool chaining with dependency resolution, conditional routing, and async execution management.

📊

Agent Evaluation Framework

Testing and benchmarking suite with performance metrics, quality indicators, and continuous evaluation pipeline.

🏆

Course Completion Certification

Upon successful completion, you'll receive official MCP & AI Agent Development certification recognized across the Anthropic partner network.

Pass Mark

80% on final assessment

Attempts

Up to 3 attempts allowed

Issued

Immediately after course completion

Recognition

Anthropic partner network verified

Who This Course Is For

AI/ML Engineers

  • Building autonomous agents
  • Creating MCP servers
  • Multi-step agent pipelines
  • Agent evaluation & testing

Backend Engineers

  • Building agent infrastructure
  • Tool orchestration systems
  • API and integration architecture
  • Production scaling

Platform Engineers

  • Building agent platforms
  • MCP server infrastructure
  • Agent deployment systems
  • Monitoring and observability

Technical Leaders

  • Agent architecture strategy
  • MCP adoption planning
  • Team capability building
  • Technical roadmaps

Enroll in Course

Frequently Asked Questions

What's the difference between this course and API Integration? +
The API Integration course focuses on direct Claude API usage, authentication, and streaming. This course is about building agent systems that can orchestrate multiple tools and make autonomous decisions using the Model Context Protocol.
Do I need to know the API Integration course first? +
While helpful, it's not required. This course covers the foundation of MCP and agents independently. However, if you plan to build production systems, the API course provides valuable complementary knowledge.
What programming languages are covered? +
We primarily use Python and TypeScript/Node.js for examples and labs, but the concepts apply across all languages. We can discuss language-specific implementations during the course.
Can I build production agents after this course? +
Yes, absolutely. The entire second day is dedicated to production patterns including testing, evaluation, monitoring, and deployment strategies. You'll have a complete agent system to deploy.
What resources do I get after the course? +
You receive all course recordings, complete source code for the projects you build, architecture reference documentation, MCP specification guide, and access to our community Slack for ongoing support.
Is there group training available? +
Yes, we offer custom team training starting at 5 people. Team discounts are 15% for 5+ attendees and 25% for 10+. Contact us for custom curriculum tailored to your use cases.