AI Agents Engineering
Understand and build agentic systems as controlled loops around models and tools. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.
Skill focus
Explore tools skills through published courses and learning paths at Clinch Works Academy.
Understand and build agentic systems as controlled loops around models and tools. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.
Build explicit, stateful agent workflows with routing, loops, persistence, and human control. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.
Understand and build interoperable tool/resource integrations using MCP concepts. An offline protocol-contract exercise plus optional real MCP SDK client/server integration. Includes detailed lessons, worked solutions, failure injection, independent challenges and instructor assessment.