A deep technical course on designing, building, and operating custom AI agents using agentic platforms, code, frameworks, andAPIs. This course goes beyond framework tutorials to focus on the architecture decisions, failure handling, and operational practices that determine whether agents work reliably in production.
Advanced Engineering-Focused
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What you´ll learn |
Agent architectures: ReAct, Plan-and-Execute, reflection loops, and choosing the right pattern for the problem domain
Tool calling and function execution: schema design, error handling, sandboxing, permission models, and tool composition
Multi-agent systems: communication protocols, task decomposition, specialisation strategies, and coordination overhead
Debugging, testing, and safety: agent tracing and observability, adversarial testing, cost and latency budgets, and kill-switch design
Pick the path that matches your team – Read more
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Target audience |
AI Platform Teams, Senior Developers, Innovation Engineers
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Prerequisites |
RAG course + strong software development skills
