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Foundations of Agent-Based AI Systems · LearnSpace
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Foundations of Agent-Based AI Systems

Курс от LearnQuest
Начальный≈ 4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Kickstart your journey in AI agent design by mastering foundational architectures and practical implementation tactics. Learn to decompose systems for effective design, map business goals to technical objectives, and visualize agent-environment interactions for stakeholder communication. Build skills in state encoding, action selection, and rigorous agent evaluation, ensuring you can confidently create baseline models for benchmark tasks and rapidly iterate toward practical solutions that address business needs in global contexts.

Навыки, которые вы освоите

BenchmarkingSystem Design and ImplementationUnified Modeling LanguageAgentic WorkflowsRequirements AnalysisStakeholder CommunicationsPerformance MeasurementPerformance MetricStakeholder EngagementAgentic systemsPrioritizationArtificial Intelligence and Machine Learning (AI/ML)Model EvaluationPerformance Analysis

Программа курса

3 модулей · 40 учебных материалов

01Introduction to AI Agent Design15 материалов

Let's Get Started

Welcome to Agent-Based AI Systems!ВидеоLevel-Set with CoachDIALOGUEIntroduction to AI Agent DesignВидео

Agent Architectures and Functional Design

Use modular decomposition to design scalable agent systemsВидео

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Преподаватель курса

Foundations of Agent-Based AI Systems
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Обучение на Coursera

≈ 4 ч

3 модулей

Язык: Английский

Субтитры: Венгерский, Узбекский, Казахский

Часть программы вашего университета
Action Story: Breaking Down a Messy Agent Design ProblemЧтение
Map stakeholder priorities to agent capabilities with requirements analysisВидео
Apply UML and workflow diagrams to clarify agent interactionsВидео
Agent Architectures and Functional DesignЗадание

Translate Stakeholder Goals into Technical Objectives

Conduct business goal alignment using user story mappingВидеоSelect performance metrics tailored for agent-centric tasksВидеоFacilitate cross-functional consensus around agent design proposalsВидеоTranslate Stakeholder Goals into Technical ObjectivesDIALOGUE

Put it in Action: Introduction to AI Agent Design

Role play: Colleague with Conflicting PrioritiesDIALOGUE Introduction to AI Agent Design - ExamЗадание Introduction to AI Agent Design - SummaryВидео
02Action Selection and State Representation12 материалов

Let's Get Started

Action Selection and State RepresentationВидео

State Representation Strategies and Feature Engineering

Perform dimensionality reduction for agent state feature selectionВидеоAction Story: Cutting Through the Noise in State RepresentationЧтениеEngineer composite states for high-fidelity environmental modelingВидеоUtilize PCA and t-SNE to visualize agent state spacesВидеоState Representation Strategies and Feature EngineeringЗадание

Action Selection and Policy Formation

Implement greedy, stochastic, and hybrid action policiesВидеоValidate state-action mappings via simulation-based testingВидеоOptimize policy search with evolutionary algorithm techniquesВидеоAction Selection and Policy FormationDIALOGUE

Put it in Action: Action Selection and State Representation

Role play: Colleague with a Different ApproachDIALOGUEManaging Sales Cycles and Pipeline - ExamЗадание
03Evaluation and Baseline Optimization13 материалов

Let's Get Started

Evaluation and Baseline OptimizationВидео

Building and Evaluating Baseline Agents

Construct rule-based baseline agents for initial comparisonВидеоAction Story: Setting the Right Benchmark Before ScalingЧтениеMeasure agent performance with domain-specific evaluation metricsВидеоConduct error analysis to pinpoint improvement opportunitiesВидеоBuild and Evaluate Baseline AgentsЗадание

Rapid Prototyping and Iterative Refinement

Develop agile prototyping cycles for agent enhancementВидеоImplement A/B testing to optimize agent heuristicsВидеоLeverage feedback-driven development for incremental gainsВидеоRapid Prototyping and Iterative RefinementDIALOGUE

Put it in Action: Evaluation and Baseline Optimization

Role play: Stakeholder Under Deadline PressureDIALOGUEEvaluation and Baseline Optimization - ExamЗаданиеNext: Dynamic DecisionsВидео