Building AI Agents with OpenAI Agents SDK and Claude MCP
Professional skills preparation with worked examples, written practice and independent learning assessments.
Professional Building AI Agents with OpenAI Agents SDK and Claude MCP course covering: Agent fundamentals: loops, tools and memory; OpenAI Agents SDK: agents, handoffs and guardrails; Claude tool use and agentic workflows; Model Context Protocol: building MCP servers; Agent memory, state and long-running tasks; Multi-agent orchestration patterns; Tracing, evaluation and reliability of agents; Deploying a production agent: capstone. Practical lessons, hands-on labs, exercises, quizzes and a final exam. Includes lessons, supplementary YouTube tutorials, practical exercises, quizzes and free/paid practice tests. Erudex is independent, not affiliated with the source institution or awarding body. Its 80% learning checks are not official grades or university credit. Content requires qualified subject review before use as a complete teaching programme.
Curriculum
One complete track with its own final exam and certificate.
Professional Building AI Agents with OpenAI Agents SDK and Claude MCP course covering: Agent fundamentals: loops, tools and memory; OpenAI Agents SDK: agents, handoffs and guardrails; Claude tool use and agentic workflows; Model Context Protocol: building MCP servers; Agent memory, state and long-running tasks; Multi-agent orchestration patterns; Tracing, evaluation and reliability of agents; Deploying a production agent: capstone. Practical lessons, hands-on labs, exercises, quizzes and a final exam.
Agent fundamentals: loops, tools and memory
- Lesson 1: From model responses to bounded agent loops Lab60 min
- Lesson 2: Tool contracts, validation, and safe execution Lab60 min
- Lesson 3: Context, state, and trustworthy memory Lab60 min
- Lesson 4: Integrating a reliable agent across provider and tool boundaries Lab60 min