AI Agents
Orchestrate teams of agents and connect them to real tools and data with the Model Context Protocol.
Go beyond single agents. Learn multi-agent architectures, build MCP servers that expose your tools and data, and run coordinated agent systems with proper observability, evaluation and security.
As agent use grows, teams need agents that collaborate and connect to company systems in a standard, secure way. The Model Context Protocol (MCP) provides that standard.
In this advanced course you'll build MCP servers for real tools and data, connect them to agents and AI assistants, and orchestrate multi-agent workflows with tracing, evaluation and least-privilege security.
Results depend on your effort, pricing and market — we teach the skills and how to sell them, not guaranteed income. Explore income streams
4 modules · 14 lessons
Exposes a database and document store as secure MCP tools and resources.
A team of agents that researches, drafts, reviews and publishes.
AI Skill Educator at AIMoniPoint
Daniel has mastered building AI apps, AI automations and AI agents for small and medium-sized businesses, and has helped over 400 students globally build practical AI skills. He also manages projects as a Senior Business Data Analyst across banking, telecoms and oil & gas — and teaches you how to turn AI skills into income.
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Build AI agents that plan, use tools and complete real tasks — and offer them as a service to businesses.
Go from developer to AI builder: ship three AI apps and learn to sell AI software to small businesses.
Build retrieval-augmented AI systems that are accurate, observable and ready for real users.