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Ultimate Guide to Crafting AI Agents with Persistent Memory · LearnSpace
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Ultimate Guide to Crafting AI Agents with Persistent Memory

Курс от Packt
Средний≈ 7.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course will empower you to create AI agents that can remember, reason, and adapt. You will learn how memory plays a crucial role in enabling AI agents to handle complex tasks and interact intelligently. By understanding the fundamentals and practical applications of memory in AI, you will be able to build persistent, context-aware agents from scratch or using frameworks like LangMem, Mem0, and Supabase. Starting with an introduction to AI agents and their memory needs, you will dive into both theoretical and practical aspects of memory systems in AI. The course takes you step-by-step through building AI agents with memory, covering hands-on exercises to implement memory storage and retrieval from scratch, as well as using pre-built frameworks. You will also get familiar with key AI memory solutions like LangMem and Mem0, exploring their integration with different platforms and databases. The course is structured in a way that builds upon your previous knowledge, starting with foundational concepts and advancing to more complex real-world projects. By the end, you will have worked on creating AI agents with memory that can be applied in practical settings, from customer support agents to health coaches. This course is perfect for anyone interested in developing smart AI systems that can adapt to ongoing interactions. No prior knowledge of memory frameworks is required, although familiarity with AI basics will be helpful. Whether you're a beginner or an intermediate learner, this course will guide you through essential concepts and hands-on techniques to help you build sophisticated AI agents. By the end of the course, you will be able to design and implement AI agents with memory, work with frameworks like LangMem and Mem0, and develop a variety of AI-driven applications with persistent, context-aware capabilities.

Навыки, которые вы освоите

Memory ManagementAI PersonalizationData PersistenceLangChainLLM ApplicationRetrieval-Augmented GenerationGenerative AI AgentsData StorageVector DatabasesAgentic WorkflowsAgentic systemsContext Management

Программа курса

7 модулей · 48 учебных материалов

01Introduction6 материалов

Introduction

Introduction & Prerequisites & What You'll LearnВидеоFull Course ResourcesЧтениеCourse Structure and Development Environment Setup and ToolsВидеоAI Agents - Crash CourseВидео

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Packt - Course Instructors

Преподаватель курса

Ultimate Guide to Crafting AI Agents with Persistent Memory
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 7.9 ч

7 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский

Часть программы вашего университета
Why Agents Need MemoryВидео
Visual Animation - Why Agents Need Memory & Key BenefitsВидео
02Memory - Deep Dive4 материалов

Memory - Deep Dive

Memory Deep Dive - What is Memory & Memory as Core Component of Agent ExperienceВидеоTypes of Memory and Deep Dive Each one of ThemВидеоUnderstanding AI Memory Types and StructuresDIALOGUEMemory - Deep Dive - AssessmentЗадание
03Giving AI Agents Memory - No Frameworks or Libraries7 материалов

Giving AI Agents Memory - No Frameworks or Libraries

Give AI Agents Memory IntroductionВидеоHANDS-ON: Building an Agent with memory - No FrameworkВидеоHANDS-ON: Building AI Agent with Memory - No Framework - Class SetupВидеоHANDS-ON: Agents with Memory - TestingВидеоAgents with Memory - Visual AnimationВидеоMemory Management in AI AgentsDIALOGUEGiving AI Agents Memory - No Frameworks or Libraries - AssessmentЗадание
04Giving AI Agents Memory - With Frameworks and Libraries10 материалов

Giving AI Agents Memory - With Frameworks and Libraries

AI Agents Memory with Frameworks and Libraries - OverviewВидеоMotivation and Key Features of LangMem by LangchainВидеоCognitive Language Agent - Full OverviewВидеоMemory Updating in Cognitive Language Agents - Hot Path & Background MemoryВидеоCoALA Memory Update Approaches Comparison - OverviewВидеоCustomer Support Agent with Memory Architecture - OverviewВидеоHANDS-ON: Customer Support Agent with MemoryВидеоCustomer Support Agent with Memory - Testing the Whole WorkflowВидеоUnderstanding and Building AI Agents with MemoryDIALOGUEGiving AI Agents Memory - With Frameworks and Libraries - AssessmentЗадание
05LangMem Deep Dive9 материалов

LangMem Deep Dive

Introduction to LangMem - OverviewВидеоCreate a Simple Agent with Langmen that Remembers ThingsВидеоUnderstanding LangMem in the Background Memory - Full OverviewВидеоHANDS-ON: LangMem - Health Coach with MemoryВидеоHANDS-ON: Build a Health Fitness Coach with LangMemВидеоLangMem Background Memory Process - SummaryВидеоExtra Use Case - Recipe Agent with Memory - with VisualsВидеоBuilding AI Agents with Memory using LangChain LMDIALOGUELangMem Deep Dive - AssessmentЗадание
06Giving AI Agents Memory with Frameworks with Mem0 and Supabase – Capstone9 материалов

Giving AI Agents Memory with Frameworks with Mem0 and Supabase – Capstone

Introduction to Mem0ВидеоMem0 - Platform and Open Source Repo OverviewВидеоMem0 - Simple Agent with MemoryВидеоSetting up Supabase - API Keys and Database URLВидеоSupabase and Mem0 - TestingВидеоSupabase and Mem0 - ImplementationВидеоHANDS-ON: Final Health Coach Agent with Memory - CapstoneВидеоCreating an AI Memory Management SystemDIALOGUEGiving AI Agents Memory with Frameworks with Mem0 and Supabase – Capstone - AssessmentЗадание
07Wrap up3 материалов

Wrap up

Wrap up and Next StepsВидеоFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание