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Agentic AI Content for Practitioners: Product · LearnSpace
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Agentic AI Content for Practitioners: Product

Курс от Coursera
Средний≈ 4.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

"Agentic AI Content for Practitioners" is a hands-on course designed for practitioners seeking to design AI systems that adapt, build trust, and support real user goals. Through a blend of prompt-writing, memory-aware workflows, and trust-centered interaction design, learners will move from basic AI commands to agentic systems that behave more like collaborators than tools. The course features videos, real-world case studies, hands-on labs, and a capstone project that lets learners apply the full stack of agentic AI design principles. Whether designing onboarding flows or AI assistants, learners will walk away with frameworks and techniques for crafting adaptive, aligned, and human-centered AI experiences.

Навыки, которые вы освоите

Agentic WorkflowsPrompt PatternsUser FlowsAgentic systemsAI literacyHuman Computer InteractionGenerative AI AgentsDesign StrategiesAI PersonalizationContext EngineeringPrompt EngineeringExperience DesignResponsible AIAI WorkflowsHuman Centered Design

Программа курса

3 модулей · 28 учебных материалов

01Lesson 1: What Makes AI “Agentic”? Foundations and Frameworks11 материалов
The Feature That Thinks for ItselfDIALOGUEWelcome to the Course: Course OverviewЧтениеIntroduction and WelcomeВидеоFrom Prompt to Partner: How Agentic AI Changes the GameВидео

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Professionals in the Industry

Преподаватель курса

Agentic AI Content for Practitioners: Product
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 4.3 ч

3 модулей

Язык: Английский

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

Часть программы вашего университета
The 4 Traits of Agentic AI: A Mini FrameworkВидео
When AI Surprised Me: A Personal Story of Unexpected AdaptationВидео
From Tools to Teammates: How Agentic AI Is Redefining the WorkplaceЧтение
Invisible Intelligence: UX Strategies for Seamless AI IntegrationЧтение
HOL: Agentic AI Flow Mapping ExerciseЗадание
Refining Your Agentic Design MindsetDIALOGUE
Understanding Agentic AI in Real Content WorkflowsDIALOGUE
02Lesson 2: Designing Adaptive Workflows: From Prompt Chains to Decision Trees7 материалов
Why Agentic AI Needs Better Prompts — And Better DesignersВидеоPrompt Patterns That Invite Partnership (Not Just Output)ВидеоBuilding Memory and Feedback Loops That Feel HumanВидеоFrom Agentic to Agentive: Rethinking UX for the AI-Powered EraЧтениеFrom Interaction to Instruction: UX’s Role in AI LearningЧтениеHOL: Agentic Prompting and Tone Calibration ExerciseЗаданиеEvaluating Your Prompt Design Through User Emotion and FlowDIALOGUE
03Lesson 3: Evaluating Agentic Content: Feedback Loops, Edge Cases, and Refinement10 материалов
Why Multi-Turn Interactions Matter in Agentic DesignВидеоDesigning Escalation Paths and Off-Ramps in WorkflowsВидеоCase Study: A Goal-Oriented Workflow in ActionВидеоAI and Automation at the Crossroads: Shaping Society’s Future with Ethics and InnovationЧтениеBuilding Trustworthy AI: Insights from a Responsible Governance FrameworkЧтениеHOL: Map a Multi-Step Agentic Workflow for a Real Use CaseЗаданиеEvaluating Continuity and Escalation in Your AI FlowDIALOGUECongratulations and Continuous Learning JourneyВидеоProject: Designing Agentic AI for Continuity, Trust, and Real-World ValueЗаданиеAssessmentЗадание