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Building Agentic AI Systems · LearnSpace
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Building Agentic AI Systems

Курс от Packt
Средний≈ 20.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course takes you on an in-depth journey into building intelligent, autonomous AI agents that can reason, plan, and adapt. You'll gain practical knowledge on the design and deployment of agentic systems using generative AI principles, ensuring your ability to create robust AI solutions for real-world applications. By following the course, you'll enhance your ability to design AI systems capable of operating autonomously in dynamic environments. You'll work on real-world examples that reinforce the practical application of advanced AI techniques such as reflection, introspection, and collaboration. What sets this course apart is its combination of theoretical learning and hands-on implementation. We focus not only on the technology behind AI agents but also on ethical considerations, safety, and transparency, which are critical in today’s rapidly evolving AI landscape. This course is ideal for AI developers, machine learning engineers, and software architects with a solid programming background. If you're experienced with Python and eager to expand your skills in autonomous AI, this course is for you.

Навыки, которые вы освоите

Artificial IntelligenceAgentic systemsAgentic WorkflowsLangChainAutomationLarge Language ModelingAI OrchestrationGenerative AITool CallingLLM ApplicationRestful APIPython ProgrammingAI WorkflowsContext ManagementNatural Language ProcessingGenerative AI AgentsAI SecurityGenerative Model ArchitecturesResponsible AI

Программа курса

11 модулей · 86 учебных материалов

01Fundamentals of Generative AI5 материалов

Lesson 1

Course OverviewВидеоFundamentals of Generative AI - Overview VideoВидеоIntroductionЧтениеApplications of Generative AIЧтение

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Преподаватель курса

Building Agentic AI Systems
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Обучение на Coursera

≈ 20.7 ч

11 модулей

Язык: Английский

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

Часть программы вашего университета
Foundations of Generative AI and Intelligent SystemsЗадание
02Principles of Agentic Systems9 материалов

Lesson 1

Principles of Agentic Systems - Overview VideoВидеоIntroductionЧтениеTravel Booking Assistant Algorithm with Agency and AutonomyЧтениеReviewing Intelligent Agents and Their CharacteristicsЧтениеSpeed and ResponsivenessЧтениеPractice: Design an Agentic System ArchitectureDIALOGUEUnderstanding Multi-Agent SystemsЧтениеNegotiationЧтениеAgentic System FundamentalsЗадание
03Essential Components of Intelligent Agents8 материалов

Lesson 1

Essential Components of Intelligent Agents - Overview VideoВидеоIntroductionЧтениеLogic-Based RepresentationsЧтениеMedical Diagnosis and Fault Detection Using AbductionЧтениеPractice: Analyze an Agent's Reasoning ProcessDIALOGUEPlanning AlgorithmsЧтениеEnhancing Agent Capabilities with Generative AIЧтениеFoundations of Intelligent Agent DesignЗадание
04Reflection and Introspection in Agents14 материалов

Lesson 1

Reflection and Introspection in Agents - Overview VideoВидеоIntroductionЧтениеAdaptationЧтениеHuman-Computer InteractionЧтениеMeta-ReasoningЧтениеPractice: Design a Reflective Travel AgentDIALOGUEThe OutputЧтениеResource AllocationЧтениеTransparencyЧтениеSelf-ModelingЧтениеCustomer Service ChatbotsЧтениеFinancial Trading SystemsЧтениеPrice Strategies in E-CommerceЧтениеReflection and Introspection in Intelligent AgentsЗадание
05Enabling Tool Use and Planning in Agents9 материалов

Lesson 1

Enabling Tool Use and Planning in Agents - Overview VideoВидеоIntroductionЧтениеDefining Tools for AgentsЧтениеTool Definition: The TravelTools Class Implements Focused Tools for Specific Travel-Related TasksЧтениеLLM-Based PlanningЧтениеPractice: Choosing the Right Planning Strategy for AI AgentsDIALOGUEIntegrating Tool Use and PlanningЧтениеExploring Practical ImplementationsЧтениеExploring Agent Capabilities and Planning MechanismsЗадание
06Exploring the Coordinator, Worker, and Delegator Approach5 материалов

Lesson 1

Exploring the Coordinator, Worker, and Delegator Approach - Overview VideoВидеоIntroductionЧтениеDesigning Agents With Role AssignmentsЧтениеCommunication and Collaboration Between AgentsЧтениеExploring the CWD Model in Multi-Agent SystemsЗадание
07Effective Agentic System Design Techniques7 материалов

Lesson 1

Effective Agentic System Design Techniques - Overview VideoВидеоIntroductionЧтениеDestination IntelligenceЧтениеPractice: Modeling State for an Intelligent AgentDIALOGUEState Validation and ConsistencyЧтениеEpisodic Memory (Interaction History)ЧтениеAgentic System Design FundamentalsЗадание
08Building Trust in Generative AI Systems7 материалов

Lesson 1

Building Trust in Generative AI Systems - Overview VideoВидеоIntroductionЧтениеDealing With Uncertainty and BiasesЧтениеUser Control and ConsentЧтениеPractice: Evaluating and Improving a Trustworthy AIDIALOGUEImplementing Transparency and ExplainabilityЧтениеTrust and Transparency in AI SystemsЗадание
09Managing Safety and Ethical Considerations9 материалов

Lesson 1

Managing Safety and Ethical Considerations - Overview VideoВидеоIntroductionЧтениеMisinformation and HallucinationsЧтениеIntellectual Property RisksЧтениеPractice: Design Safeguards for an Autonomous AI AgentDIALOGUEAction boundariesЧтениеHuman-Centric DesignЧтениеSummaryЧтениеEthical and Safety Considerations in AI SystemsЗадание
10Common Use Cases and Applications7 материалов

Lesson 1

Common Use Cases and Applications - Overview VideoВидеоIntroductionЧтениеNatural Language Processing and Conversational AgentsЧтениеPractice: Analyze Agentic System ArchitecturesDIALOGUEProblem StatementЧтениеProblem StatementЧтениеExploring Agentic Systems and Their Real-World ImpactЗадание
11Conclusion and Future Outlook6 материалов

Lesson 1

Conclusion and Future Outlook - Overview VideoВидеоIntroductionЧтениеPractical Implications Across IndustriesЧтениеPractice: Design an AI Agent Under Real-World ConstraintsDIALOGUEChallenges and OpportunitiesЧтениеExploring the Future of Artificial IntelligenceЗадание