Project 42
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Guided path · intermediate

Agent Frameworks & Protocols

Build interoperable agents using the Model Context Protocol (MCP), orchestration frameworks, and real-time voice loops.

4 modules160 minutesAgent Frameworks Engineer badge
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Who this is for

AI software engineers and system architects implementing production tool-using agents.

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Modules

  1. 0135 min · intermediateModel Context Protocol and Tool InteroperabilityThis intermediate module teaches you to reason about Model Context Protocol roles, capability discovery, and interoperable tool use. After completing it, you can trace a tool request across an MCP integration, distinguish protocol compatibility from semantic compatibility, and identify essential validation and authorization controls.Begin →
  2. 0245 min · intermediateAgent orchestration and multi-agent patternsThis intermediate module teaches you to design, trace, and evaluate workflows in which multiple agents coordinate through explicit roles, messages, state, and stopping rules. After completing it, you can choose an orchestration pattern for a task and specify the controls needed to operate it safely.Begin →
  3. 0330 min · intermediateMapping our orchestration patterns onto named frameworksThis intermediate module teaches you to compare observable orchestration behavior with ReAct, Plan-and-Solve, and Reflexion without claiming unsupported implementation equivalence. After completing it, you can produce an evidence-based mapping, identify partial matches, and leave an estate-specific classification UNKNOWN when the required evidence is absent.Begin →
  4. 0450 min · intermediateVoice agents, virtual instructors, and accessible mediaThis intermediate module enables learners to design a provider-neutral conversational learning experience that coordinates voice interaction, instructional dialogue, accessible media alternatives, recovery paths, and human review. After completing it, learners can turn a learning objective into an interaction flow and evaluate whether that flow remains usable when speech recognition, generated responses, or media access fails.Begin →