Course · 1 modules · 12 lessons · 112 min

Agentic Design Patterns

Architecture selection, tool design, error resilience, multi-agent coordination, and production patterns for agentic systems.

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№ 01Design Patterns

01Agent Testing StrategyA comprehensive testing architecture for agent systems, covering the testing pyramid, non-determinism management, evaluation design, and CI/CD pipelines.11 min→02Architecture Selection FrameworkA decision matrix for choosing the right agent architecture pattern based on your task's structure, latency requirements, cost constraints, and error tolerance.8 min→03Complexity GradientStart with the simplest LLM pattern that could work and add complexity only when measured evidence proves it insufficient.8 min→04Context and State StrategySystematic approaches for allocating, prioritizing, compressing, and persisting information within and beyond the context window.10 min→05Cost-Latency OptimizationDesign strategies for building agent architectures that meet cost and latency targets without sacrificing task quality.11 min→06Do You Need an Agent?A decision framework for determining whether your problem requires an autonomous agent or whether a simpler alternative will perform better at lower cost.7 min→07Error Resilience PatternsArchitectural patterns for designing agent systems that anticipate, contain, and recover from failures before they happen.10 min→08Incremental Migration PatternsPatterns for introducing agent capabilities into existing systems gradually, minimizing risk while capturing value at each stage.10 min→09Multi-Agent Decision FrameworkA decision framework for determining when multi-agent architectures are justified and how to design agent boundaries, communication, and coordination when they are.10 min→10Safety by DesignA holistic approach to engineering safety into agent architecture from the ground up, covering threat modeling, layered defenses, permission design, and the safety-capability tradeoff.10 min→11System Prompt EngineeringThe practical craft of writing system prompts that reliably steer agent behavior, manage tool use, and enforce constraints within token budgets.8 min→12Tool Interface DesignDesign principles for building tool APIs that LLMs can discover, understand, and invoke correctly without human intervention.9 min→