К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Context Engineering for Multi-Agent Systems · LearnSpace
Назад в каталог
courseraIT и технологии

Context Engineering for Multi-Agent Systems

Курс от Packt
Средний≈ 9.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course focuses on transforming unpredictable AI into reliable, structured systems using a Context Engine. Learners will explore how to build transparent, multi-agent architectures that replace fragile prompt-based systems with context engineering that adapts seamlessly across various domains. Through this course, learners will master designing and implementing adaptable, reliable AI systems that support multi-agent orchestration and context-aware decision-making. These skills will help you move beyond ad-hoc AI prompting to build scalable, trustworthy solutions. What sets this course apart is its emphasis on structured context engineering. Combining theoretical foundations with real-world applications, learners will create Context Engines that improve the efficiency and accuracy of AI systems, even in complex environments. This course is perfect for AI engineers, software developers, and system architects with basic LLM knowledge who aim to enhance their skills in structured, multi-agent AI design. Familiarity with AI fundamentals is recommended for maximum benefit.

Навыки, которые вы освоите

Context EngineeringContext ManagementGenerative AI AgentsAgentic systemsOpenAIAI SecurityHardeningSystems ArchitecturePrompt EngineeringAI OrchestrationLarge Language ModelingAgentic WorkflowsResponsible AISoftware ArchitecturePython ProgrammingLLM ApplicationModel Context ProtocolToken OptimizationRetrieval-Augmented GenerationPrompt Engineering Tools

Программа курса

10 модулей · 86 учебных материалов

01From Prompts to Context: Building the Semantic Blueprint10 материалов

Mastering Context Engineering: From Linear Prompts to Semantic Diagrams

OverviewВидеоIntroductionЧтениеThe better context (linear context)ЧтениеThe Semantic BlueprintЧтение

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Context Engineering for Multi-Agent Systems
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.3 ч

10 модулей

Язык: Английский

Часть программы вашего университета
Building an SRL Notebook in PythonЧтение
The Plotting Engine: Plot Stemma and Canvas SetupЧтение
Engineering a Meeting Analysis Use CaseЧтение
Layer 1: Establishing the scope (the "what")Чтение
Layer 3: Determining the Action (the "What Next")Чтение
Semantic Context and AI Interaction FundamentalsЗадание
02Building a Multi-Agent System with MCP8 материалов

From Blueprint to Collaboration: Engineering Robust Multi-Agent AI Systems

OverviewВидеоIntroductionЧтениеBuilding an MAS with MCPЧтениеBuilding the AgentsЧтениеBuilding the OrchestratorЧтениеError Handling and ValidationЧтениеAdding Agent Specialization Controls and ValidationЧтениеMulti-Agent System FundamentalsЗадание
03Building the Context-Aware Multi-Agent System8 материалов

From Simulated Agents to Real-World Context: Building a RAG-Enabled System

OverviewВидеоIntroductionЧтениеRAG Pipeline Data Ingestion (Context and Knowledge)ЧтениеData Preparation: The Context Library (Procedural RAG)ЧтениеData Preparation: The Knowledge Base (Factual RAG)ЧтениеProcess and Upload (Upsert) DataЧтениеBuilding the Context-Aware SystemЧтениеBuilding Context-Aware Multi-Agent SystemsЗадание
04Assembling the Context Engine8 материалов

Building and Orchestrating Intelligent Agent Workflows

OverviewВидеоIntroductionЧтениеArchitectural OverviewЧтениеAssembling the SystemЧтениеAgent RegistryЧтениеThe Context EngineЧтениеPutting It All TogetherЧтениеThe Context Engine EcosystemЗадание
05Hardening the Context Engine9 материалов

Transforming a Prototype into a Production-Ready Context Engine

OverviewВидеоIntroductionЧтениеFinalizationЧтениеHardening the Helper FunctionsЧтениеRefactoring the Agents for ProductionЧтениеRefactoring the Agent RegistryЧтениеRunning the Hardened EngineЧтениеPhase 4: FinalizationЧтениеContext Engine Hardening and System IntegrationЗадание
06Building the Summarizer Agent for Context Reduction8 материалов

Mastering Context Reduction: From Architecture to Agent Integration

OverviewВидеоIntroductionЧтениеSeparation of ResponsibilitiesЧтениеImplementing Context Reduction with the Summarizer AgentЧтениеIntegrating the New Agent into the Engine's ToolkitЧтениеReinforcing the Writer Agent for Greater FlexibilityЧтениеExploring the Summarizer in ActionЧтениеAI Agent Development and Context ManagementЗадание
07High-Fidelity RAG and Defense: The NASA-Inspired Research Assistant10 материалов

Building a Secure, Citation-Ready AI Research Assistant

OverviewВидеоIntroductionЧтениеSeparation of ResponsibilitiesЧтениеUpgrading the Ingestion PipelineЧтениеUpgrading the context engine's capabilitiesЧтениеThe Final Application: The NASA Research AssistantЧтениеValidation and Retro Compatibility of the Context EngineЧтениеHow the Context Engine ThinksЧтениеValidating the Mind of the MachineЧтениеRAG Pipeline and Context Engineering FundamentalsЗадание
08Architecting for Reality: Moderation, Latency, and Policy-Driven AI10 материалов

Building Responsible AI: Moderation, Compliance, and Real-World Deployment

OverviewВидеоIntroductionЧтениеThe Deliberate Pace of a Reasoning EngineЧтениеImplementing ModerationЧтениеModeration Guardrail in ActionЧтениеArchitecting a Policy-Driven Meta-ControllerЧтениеArchitectural SolutionЧтениеApplying the Engine: The Legal Compliance AssistantЧтениеLegal Use Cases and Real-World LimitsЧтениеArchitecting for Reality in AI SystemsЗадание
09Architecting for Brand and Agility: The Strategic Marketing Engine8 материалов

Building Agile Marketing Systems for Brand Consistency and Strategic Impact

OverviewВидеоIntroductionЧтениеBrand Style GuideЧтениеCustomer Interview Notes Maria RЧтениеValidating Production SafeguardsЧтениеUse Case 1: Competitive AnalysisЧтениеSynthesizing a Persuasive Pitch from Multiple SourcesЧтениеStrategic Marketing System DesignЗадание
10The Blueprint for Production-Ready AI7 материалов

From Prototype to Production: Engineering Trustworthy AI Systems

OverviewВидеоIntroductionЧтениеBuilding the Production API (Orchestration Layer)ЧтениеInfrastructure and ContainerizationЧтениеEnsuring Compliance and Safety with Automated GuardrailsЧтениеStakeholder Trust Through Verifiability and SecurityЧтениеBuilding Reliable and Secure AI SystemsЗадание