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AI for Learning & Development 

Курс от AI CERTs
Начальный≈ 29.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learn how to design effective training programs and improve outcomes using AI tools and data. This AI for Learning & Development course focuses on how AI enhances learning design, personalizes experiences, and improves engagement in workplace training and employee development. The course emphasizes practical application, helping you apply AI directly to real-world L&D challenges. You’ll learn to create adaptive learning paths, generate content, and use data insights to improve performance and engagement. Through hands-on scenarios, you’ll also learn how to apply AI in L&D workflows that support real training goals and organizational needs. Explore tools like LinkedIn Learning, Synthesia, EdCast, FairSight, and 360Learning, and understand how they support AI-driven content creation, analytics, and delivery. The course covers responsible AI use, including ethical considerations, data privacy, and bias prevention. By the end, you’ll be able to design AI-enabled learning strategies, improve training effectiveness, and confidently apply AI in areas such as training design, analytics, and content development. Enroll in this AI for Learning & Development course to build job-ready L&D skills and apply AI effectively in modern learning and development roles.

Навыки, которые вы освоите

AI PersonalizationResponsible AIGenerative AIWorkforce DevelopmentInstructional DesignPerformance AnalysisLearning StylesAI literacyHR TechAI EnablementLearning TheoryLearning StrategiesDeveloping Training MaterialsHuman LearningLearning Management SystemsGenerative AI AgentsEducation Software and TechnologyChildhood Education and DevelopmentArtificial Intelligence and Machine Learning (AI/ML)Content Creation

Программа курса

8 модулей · 123 учебных материалов

01Module 1: Introduction to Artificial Intelligence (AI) in Education17 материалов
Navigation VideoВидеоCourse IntroductionВидеоEbook: Module 1: Introduction to Artificial Intelligence (AI) in EducationЧтениеAudiobook: Module 1: Introduction to Artificial Intelligence (AI) in EducationВидео

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Преподаватель курса

AI for Learning & Development 
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 29.9 ч

8 модулей

Язык: Английский

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

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Podcast: Module 1: Introduction to Artificial Intelligence (AI) in EducationВидео
1.1 Definition and Types of AIВидео
1.2 AI: Evolution and Current TrendsВидео
1.3 Personalized LearningВидео
1.4 Automated Adaptive Learning and Content DeliveryВидео
1.5 Language Models for Personalized LearningВидео
1.6 Augmented and Virtual RealityВидео
Activity: HotspotPLUGIN
1.7 Predictive Analytics in GradingВидео
1.8 Feedback for EducatorsВидео
1.9 Privacy, Data Security, and Bias in AI Grading SystemsВидео
1.10 Future of AI in EducationВидео
Quiz 1Задание
02Module 2: Machine Learning Fundamentals15 материалов
Ebook: Module 2: Machine Learning FundamentalsЧтениеAudiobook: Module 2: Machine Learning FundamentalsВидеоPodcast: Module 2: Machine Learning FundamentalsВидео2.1 Machine Learning: Concepts and TypesВидео2.2 Applications in L&DВидео2.3 Algorithm Basics: Training & TestingВидео2.4 Use Cases in L&D (Supervised Learning)ВидеоActivity: PopupPLUGIN2.5 Algorithm Basics: Finding Patterns in DataВидео2.6 Use Cases in L&D (Unsupervised Learning)Видео2.7 Basics and Key Algorithms of Reinforcement LearningВидео2.8 Applications of Reinforcement LearningВидео2.9 Data Cleaning and Model EvaluationВидео2.10 Ethical Considerations and Bias MitigationВидеоQuiz 2Задание
03Module 3: Natural Language Processing (NLP) For Educational Content 15 материалов
Ebook: Moduble 3: Natural Language Processing (NLP) For Educational ContentЧтениеAudiobook: Module 3: Natural Language Processing (NLP) For Educational ContentВидеоPodcast: Module 3: Natural Language Processing (NLP) For Educational Content Видео3.1 Introduction to NLPВидео3.2 Key NLP Technologies and Language ModelsВидео3.3 Text Analysis for Learning MaterialsВидео3.4 Readability and Complexity AssessmentВидео3.5 Semantic Content EnrichmentВидеоActivity: Case studyPLUGIN3.6 Learner Profiling and Needs AnalysisВидео3.7 Dialogue Systems and Chatbots for Learning Видео3.8 Automated Essay ScoringВидео3.9 Sentiment Analysis for Feedback InterpretationВидео3.10 Predictive Analytics for Performance Monitoring ВидеоQuiz 3Задание
04Module 4: AI Driven Content Creation and Curation 15 материалов
Ebook: Module 4: AI Driven Content Creation and CurationЧтениеAudiobook: Module 4: AI-Driven Content Creation and CurationВидеоPodcast: Module 4: AI Driven Content Creation and Curation Видео4.1 Automated Content GenerationВидео4.2 Enhancing Creativity, Customization and Localization ВидеоActivity: AccordianPLUGIN4.3 Personalized Learning Paths and Real-time Content AdaptationВидео4.4 Integration with Learning Management Systems (LMS)Видео4.5 Automating Question Creation and Adaptive Testing Видео4.6 Instant Feedback MechanismsВидео4.7 Content Aggregation and FilteringВидео4.8 Relevance, Quality Scoring and Continuous Content UpdateВидео4.9 Maintaining Accuracy, Reliability and Addressing BiasВидео4.10 Intellectual Property and Copyright IssuesВидеоQuiz 4Задание
05Module 5: Adaptive Learning Systems 15 материалов
Ebook: Module 5: Adaptive Learning Systems ЧтениеAudiobook: Module 5: Adaptive Learning SystemsВидеоPodcast: Module 5: Adaptive Learning SystemsВидео5.1 Principles of Adaptive LearningВидео5.2 Adaptive Learning: Technologies, Benefits, and ChallengesВидео5.3 Learner ModellingВидео5.4 Content Modelling and Adaptivity and Personalization MechanismsВидео5.5 Integration with Existing SystemsВидео5.6 Scalability, Accessibility, Continuous Improvement and Feedback LoopsВидео5.7 Dynamic Assessment MethodsВидео5.8 Feedback, Support, and Measuring EffectivenessВидеоActivity: Drag and DropPLUGIN5.9 Data Privacy and SecurityВидео5.10 Bias, Fairness, Informed Consent, and Transparency in AIВидеоQuiz 5Задание
06Module 6: Ethics and Bias in AI for L&D15 материалов
Ebook: Module 6: Ethics and Bias in AI for L&DЧтениеAudiobook: Module 6: Ethics and Bias in AI for L&DВидеоPodcast: Module 6: Ethics and Bias in AI for L&DВидео6.1 Fundamentals of AI Ethics, Ethical Design and Development Видео6.2 Global Perspectives on AI EthicsВидео6.3 Data Privacy Principles, Consent and Data ControlВидео6.4 Mitigating Privacy RisksВидео6.5 Identifying Biases in AIВидео6.6 Impact of Bias and Strategies for Mitigating Bias Видео6.7 Engaging Learners Ethically and Transparency with AI Tools Видео6.8 Learner Autonomy and AIВидео6.9 Evolving Ethical Standards and Innovations in Ethical AI Видео6.10 Preparing for an AI-Ethical Future in L&DВидеоActivity: TabPLUGINQuiz 6Задание
07Module 7: Emerging Technologies and Future Trends15 материалов
Ebook: Module 7: Emerging Technologies and Future TrendsЧтениеAudiobook: Module 7: Emerging Technologies and Future TrendsВидеоPodcast: Module 7: Emerging Technologies and Future TrendsВидео7.1 AR for Interactive LearningВидео7.2 Practical Applications of AR and Development Tools and Challenges Видео7.3 VR for Immersive Experiences and Curriculum Integration Видео7.4 Hardware and Software ConsiderationsВидео7.5 Adaptive Learning PlatformsВидео7.6 Predictive Analytics in Education and Ethical and Privacy Concerns Видео7.7 Secure Learning RecordsВидео7.8 Smart Contracts for Education and Decentralized Education SystemsВидео7.9 Natural Language Processing (NLP) Enhancements and Generative AI for Content Creation Видео7.10 Ethical AI and Inclusive TechnologiesВидеоActivity: Case StudyPLUGINQuiz 7Задание
08Module 8: Implementation and Best Practices16 материалов
Ebook: Module 8: Implementation and Best PracticesЧтениеAudiobook: Module 8: Implementation and Best PracticesВидеоPodcast: Module 8: Implementation and Best PracticesВидео8.1 Needs AssessmentВидео8.2 Technology Alignment and Stakeholder EngagementВидео8.3 Evaluating AI SolutionsВидео8.4 Cost-Benefit Analysis and Vendor SelectionВидео8.5 Pilot ProgramsВидео8.6 Training, Support & IntegrationВидеоActivity: ScenarioPLUGIN8.7 Performance Metrics and Feedback LoopsВидео8.8 Adaptive Learning and IterationВидео8.9 Data Privacy and SecurityВидео8.10 Ethical AI Practices and Regulatory ComplianceВидеоCourse SummaryВидеоQuiz 8Задание