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Advanced Prompt Engineering for All · LearnSpace
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Advanced Prompt Engineering for All

Курс от AI CERTs
Средний≈ 17.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Advanced Prompt Engineering for All is a practical course designed to help learners master the art and science of crafting precise, effective prompts and context strategies for AI systems. As organizations increasingly rely on large language models to drive automation, decision-making, and productivity, professionals who understand how to engineer reliable AI outputs are becoming critical across every industry. In this course, you’ll go far beyond basic prompting to explore the full architecture of context engineering, including how to design robust instruction sets, manage memory and state, retrieve grounded knowledge, and build context pipelines that produce consistent, accurate, and cost-efficient AI behavior at scale. Through guided exercises and hands-on projects, you’ll gain practical experience with industry tools, including LangChain, LangGraph, LlamaIndex, vector databases such as Pinecone and Chroma, embedding models, RAG pipelines, and no-code automation platforms like n8n, Zapier, and Make.com. You’ll also learn enterprise-grade context strategies, including role-based access, PII filtering, compliance guardrails, and multi-agent orchestration. By the end of the course, you’ll be able to design, build, and deploy context-aware AI systems that eliminate hallucinations, scale reliably, and deliver grounded, production-ready outputs for real business and technical environments.

Навыки, которые вы освоите

Context ManagementRetrieval-Augmented GenerationToken OptimizationPrompt EngineeringAI OrchestrationMake.comNo-Code DevelopmentLarge Language ModelingLLM ApplicationResponsible AIPrompt Engineering ToolsSystem Design and ImplementationAI WorkflowsNatural Language ProcessingAgentic WorkflowsLangChainLangGraphPrompt PatternsGenerative AISystems Development

Программа курса

9 модулей · 97 учебных материалов

01Module 1: Foundations of Context Engineering12 материалов
Course IntroductionВидеоEbook: Module 1: Foundations of Context EngineeringЧтениеAudiobook: Module 1: Foundations of Context EngineeringВидеоPodcast: Module 1: Foundations of Context EngineeringВидео

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AI CERTs Team

Преподаватель курса

Advanced Prompt Engineering for All
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 17.8 ч

9 модулей

Язык: Английский

Часть программы вашего университета
1.1 What Is Context Engineering?Видео
1.2 The Paradigm Shift: From Prompt to ContextВидео
1.3 The Four Building Blocks of ContextВидео
1.4 The Core Benefits of Context EngineeringВидео
1.5 LLM Memory and ContextВидео
1.6 Case Studies in Production Context EngineeringВидео
Activity: Drag and dropPLUGIN
Quiz 1Задание
02Module 2: Context Management Patterns and Techniques13 материалов
Ebook: Module 2: Context Management Patterns and TechniquesЧтениеAudiobook: Module 2: Context Management Patterns and TechniquesВидеоPodcast: Module 2: Context Management Patterns and TechniquesВидео2.1 The Context Management FrameworkВидео2.2 Write Context (Defining Identity and State)Видео2.3 Select Context (Precision Retrieval)Видео2.4 Compress Context (Efficiency and Scaling)Видео2.5 Isolate Context (Defining Boundaries and Scope)Видео2.6 Advanced Retrieval and Compression Techniques (LlamaIndex/LangChain)Видео2.7 Tool Selection as ContextВидео2.8 Case Studies – From Branching Reasoning to Unified Context FlowВидеоActivity: TabPLUGINQuiz 2Задание
03Module 3: The Context Pipeline, RAG, and Grounding Architecture12 материалов
Ebook: Module 3: The Context Pipeline, RAG, and Grounding ArchitectureЧтениеAudiobook: Module 3: The Context Pipeline, RAG, and Grounding ArchitectureВидеоPodcast: Module 3: The Context Pipeline, RAG, and Grounding ArchitectureВидео3.1 The Context Pipeline: An End-to-End System ViewВидео3.2 Context Pipeline Example: How a Q&A Bot Uses the Full PipelineВидео3.3 Retrieval-Augmented Generation (RAG) Architecture Deep DiveВидео3.4 Conceptual and Practical Vector DatabasesВидео3.5 Context Quality Challenges: Grounding Failures and MitigationВидео3.6 Orchestration Frameworks: Building State and FlowВидео3.7 Case Study: Anthropic’s Multi-Agent ResearcherВидеоActivity: SequencePLUGINQuiz 3Задание
04Module 4: Optimization, Scaling, and Enterprise Readiness11 материалов
Ebook: Module 4: Optimization, Scaling, and Enterprise ReadinessЧтениеAudiobook: Module 4: Optimization, Scaling, and Enterprise ReadinessВидеоPodcast: Module 4: Optimization, Scaling, and Enterprise ReadinessВидео4.1 Cost and Performance Optimization: The Economic Context PipelineВидео4.2 Context Scaling and the Model Context Protocol (MCP)Видео4.3 Security and Compliance: Guardrails for Enterprise ContextВидео4.4 Context Consistency and Conflict ResolutionВидео4.5 Multi-Modal Context: Unlocking Unstructured Enterprise DataВидео4.6 Real-World Case StudiesВидеоActivity: Multiple responsePLUGINQuiz 4Задание
05Module 5: Context Flow Design for Business Users: Architecting Reliable AI via No-Code Platforms12 материалов
Ebook: Module 5: Context Flow Design for Business Users: Architecting Reliable AI via No-Code PlatformsЧтениеAudiobook: Module 5: Context Flow Design for Business Users: Architecting Reliable AI via No-Code PlatformsВидеоPodcast: Module 5: Context Flow Design for Business Users: Architecting Reliable AI via No-Code PlatformsВидео5.1 Introduction to Context Flow Architecture for the Business UserВидео5.2 Mapping Business Processes to AI-Ready Context FlowsВидео5.3 No-Code Tools for Flow Control: Implementing W-S-C-I VisuallyВидео5.4 Business-Friendly Context Management: Templates and SummariesВидео5.5 Designing a Dynamic Customer Onboarding AssistantВидео5.6 Context for Automated Workflows: The Link to AWAВидео5.7 Real-World Enterprise Success in Context Flow DesignВидеоActivity: ScenarioPLUGINQuiz 5Задание
06Module 6: Real-World Industry Context Applications12 материалов
Ebook: Module 6: Real-World Industry Context ApplicationsЧтениеAudiobook: Module 6: Real-World Industry Context ApplicationsВидеоPodcast: Module 6: Real-World Industry Context ApplicationsВидео6.1 The Context Engineering Imperative in Regulated DomainsВидео6.2 Healthcare: Clinical Decision Support and Patient SafetyВидео6.3 Finance: Real-Time Analysis and Regulatory AdherenceВидео6.4 Legal and Education: Precision and Personalized ContextВидео6.5 Industry Context Risk MitigationВидео6.6 Context Engineering for Advanced AI AgentsВидео6.7 Detailed Real-World Case StudiesВидеоActivity: Fill in the blankPLUGINQuiz 6Задание
07Module 7: Multi-Agent Orchestration and the Future12 материалов
Ebook: Module 7: Multi-Agent Orchestration and the FutureЧтениеAudiobook: Module 7: Multi-Agent Orchestration and the FutureВидеоPodcast: Module 7: Multi-Agent Orchestration and the FutureВидео7.1 The Architectural Imperative of Multi-Agent SystemsВидео7.2 Multi-Agent Context Communication and Flow DesignВидео7.3 Controlling Agent Behavior Through System Context and GuardrailsВидео7.4 Future Trends: The Impact of Scale and AutomationВидео7.5 Ethics and Responsible Use in Coordinated SystemsВидео7.6 Case Studies in Enterprise Multi-Agent DeploymentВидео7.7 Career Pathways: The Context Architect and AI GovernanceВидеоActivity: HotspotPLUGINQuiz 7Задание
08Module 8: Capstone Project6 материалов
Ebook: Module 8: Capstone ProjectЧтениеAudiobook: Module 8: Capstone ProjectВидеоPodcast: Module 8: Capstone ProjectВидео8.1 Introduction to Capstone ProjectВидеоQuiz 8ЗаданиеCourse SummaryВидео
09AI Agents in Context Engineering7 материалов
Ebook: AI Agents in Context EngineeringЧтение1.1 AI Agents in Context EngineeringВидео1.2 Core Characteristics of Context-Engineered AI AgentsВидео1.3 Importance of Context-Engineered AI AgentsВидео1.4 Memory Systems in AIВидео1.5 Types of Context-Engineered AI AgentsВидео1.6 Applications and TrendsВидео