What AI tools will I learn to use?

You’ll explore LinkedIn Learning, EdCast, Synthesia, FairSight, and 360Learning for creating and analyzing AI-powered learning solutions.

How will this course help improve learning outcomes?

It teaches AI-driven content personalization, adaptive learning strategies, and data-driven performance insights.

Can this certification help in career advancement?

Yes. AI skills in L&D are increasingly sought after by organizations looking to innovate training programs.

What topics are covered in the program?

Modules include AI fundamentals, machine learning, NLP, adaptive learning, AI content creation, ethics, and emerging trends.

Is the course self-paced or instructor-led?

This course is self-paced so you can learn at your convenience.

Will I gain practical, hands-on experience?

Absolutely. The program includes projects, case studies, and AI tool applications for real-world L&D scenarios.

How does this certification address ethics in AI?

It covers bias mitigation, responsible AI practices, and ethical use of data in learning programs.

Can students with no corporate experience take this course?

Yes. The course is designed to prepare students and new graduates for AI-driven roles in L&D.

What industries can benefit from AI in learning?

Corporate training, education, e-learning platforms, HR tech, and organizations aiming to upskill employees efficiently.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI for Learning & Development

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

AI for Learning & Development

Dozent: AI CERTs Team

Bei enthalten

Mehr erfahren

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

AI in Modern L&D: Understand how AI reshapes training, boosts learning efficiency, and personalizes development programs.
Personalized Learning Design: Create adaptive learning paths using AI tools to tailor content to learner behavior, skills, and progress.
AI-Driven Content & Analytics: Use AI for content creation, skill mapping, and performance insights to improve training outcomes.
Building AI-Ready Training Systems: Design practical, scalable AI workflows that integrate into existing L&D strategies and platforms.

Kompetenzen, die Sie erwerben

Kategorie: Generative AI
Kategorie: Instructional Design
Kategorie: Learning Strategies
Kategorie: AI Enablement
Kategorie: Learning Styles
Kategorie: Training Programs
Kategorie: Workforce Development
Kategorie: Training and Development
Kategorie: Learning Theory
Kategorie: Real Time Data
Kategorie: Employee Training
Kategorie: Generative AI Agents
Kategorie: Responsible AI
Kategorie: Human Learning
Kategorie: Learning Management Systems
Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Childhood Education and Development
Kategorie: AI Personalization

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Januar 2026

Bewertungen

8 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 8 Module

AI for Learning & Development is designed for educators, L&D professionals, instructional designers, and HR teams who want to transform training with AI-powered learning experiences. This course goes beyond theory - focusing on practical applications of AI to personalize learning journeys, automate content creation, enhance learner engagement, and measure performance with data-driven precision.

Learners explore Machine Learning, NLP, adaptive learning systems, and AI learning analytics to build modern training solutions aligned with workforce needs. You’ll also learn how to design AI-enhanced content, curate learning pathways, and use real tools like LinkedIn Learning, Synthesia, EdCast, FairSight, and 360Learning to develop scalable programs. Ethical implementation, responsible data use, and bias prevention are integrated throughout to ensure AI adoption supports trust and learner well-being. By the end of the course, you’ll be equipped to build AI-integrated training strategies, optimize employee development, and lead the transformation of organizational learning. This certification is ideal for anyone ready to innovate how learning happens and unlock the next generation of workforce capability - powered by AI.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

Das ist alles enthalten

14 Videos2 Lektüren1 Aufgabe7 Plug-ins

14 Videos Insgesamt 165 Minuten

Audiobook: Course Introduction 5 Minuten
Course Introduction 4 Minuten
Audiobook: Module 1: Introduction to Artificial Intelligence (AI) in Education 67 Minuten
Podcast: Module 1: Introduction to Artificial Intelligence (AI) in Education 54 Minuten
1.1 Definition and Types of AI 4 Minuten
1.2 AI: Evolution and Current Trends 3 Minuten
1.3 Personalized Learning 4 Minuten
1.4 Automated Adaptive Learning and Content Delivery 4 Minuten
1.5 Language Models for Personalized Learning 5 Minuten
1.6 Augmented and Virtual Reality 4 Minuten
1.7 Predictive Analytics in Grading 2 Minuten
1.8 Feedback for Educators 2 Minuten
1.9 Privacy, Data Security, and Bias in AI Grading Systems 3 Minuten
1.10 Future of AI in Education 3 Minuten

2 Lektüren Insgesamt 20 Minuten

Hands on: 1 10 Minuten
Hands on: 2 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 1 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 1: Introduction to Artificial Intelligence (AI) in Education 15 Minuten
Activity: Flip a Card 15 Minuten
Activity: Drag and Drop 15 Minuten
Activity: Hotspot 15 Minuten
Activity: Quiz 15 Minuten
Activity: Case study 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

12 Videos2 Lektüren1 Aufgabe7 Plug-ins

12 Videos Insgesamt 147 Minuten

Audiobook: Module 2: Machine Learning Fundamentals 53 Minuten
Podcast: Module 2: Machine Learning Fundamentals 67 Minuten
2.1 Machine Learning: Concepts and Types 3 Minuten
2.2 Applications in L&D 2 Minuten
2.3 Algorithm Basics: Training & Testing 3 Minuten
2.4 Use Cases in L&D (Supervised Learning) 2 Minuten
2.5 Algorithm Basics: Finding Patterns in Data 2 Minuten
2.6 Use Cases in L&D (Unsupervised Learning) 2 Minuten
2.7 Basics and Key Algorithms of Reinforcement Learning 3 Minuten
2.8 Applications of Reinforcement Learning 2 Minuten
2.9 Data Cleaning and Model Evaluation 4 Minuten
2.10 Ethical Considerations and Bias Mitigation 3 Minuten

2 Lektüren Insgesamt 20 Minuten

Hands on: 1 10 Minuten
Hands on: 2 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 2 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 2: Machine Learning Fundamentals 15 Minuten
Activity: Quiz 15 Minuten
Activity: Popup 15 Minuten
Activity: Tab 15 Minuten
Activity: Multiple Choice Questions 15 Minuten
Activity: Scenario 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

12 Videos2 Lektüren1 Aufgabe6 Plug-ins

12 Videos Insgesamt 206 Minuten

Audiobook: Module 3: Natural Language Processing (NLP) For Educational Content 78 Minuten
Podcast: Module 3: Natural Language Processing (NLP) For Educational Content 88 Minuten
3.1 Introduction to NLP 4 Minuten
3.2 Key NLP Technologies and Language Models 5 Minuten
3.3 Text Analysis for Learning Materials 4 Minuten
3.4 Readability and Complexity Assessment 5 Minuten
3.5 Semantic Content Enrichment 3 Minuten
3.6 Learner Profiling and Needs Analysis 5 Minuten
3.7 Dialogue Systems and Chatbots for Learning 4 Minuten
3.8 Automated Essay Scoring 3 Minuten
3.9 Sentiment Analysis for Feedback Interpretation 3 Minuten
3.10 Predictive Analytics for Performance Monitoring 4 Minuten

2 Lektüren Insgesamt 20 Minuten

Hands on: 1 10 Minuten
Hands on: 2 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 3 30 Minuten

6 Plug-ins Insgesamt 90 Minuten

EBook: Module 3: Natural Language Processing (NLP) For Educational Content 15 Minuten
Activity: Hotspot 15 Minuten
Activity: Case study 15 Minuten
Activity: Quiz 15 Minuten
Activity: True or False 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

12 Videos1 Lektüre1 Aufgabe7 Plug-ins

12 Videos Insgesamt 183 Minuten

Audiobook: Module 4: AI-Driven Content Creation and Curation 67 Minuten
Podcast: Module 4: AI Driven Content Creation and Curation 77 Minuten
4.1 Automated Content Generation 3 Minuten
4.2 Enhancing Creativity, Customization and Localization 5 Minuten
4.3 Personalized Learning Paths and Real-time Content Adaptation 4 Minuten
4.4 Integration with Learning Management Systems (LMS) 4 Minuten
4.5 Automating Question Creation and Adaptive Testing 5 Minuten
4.6 Instant Feedback Mechanisms 3 Minuten
4.7 Content Aggregation and Filtering 3 Minuten
4.8 Relevance, Quality Scoring and Continuous Content Update 4 Minuten
4.9 Maintaining Accuracy, Reliability and Addressing Bias 3 Minuten
4.10 Intellectual Property and Copyright Issues 4 Minuten

1 Lektüre Insgesamt 10 Minuten

Hands on 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 4 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 4: AI Driven Content Creation and Curation 15 Minuten
Activity: Accordian 15 Minuten
Activity: Drag and Drop 15 Minuten
Activity: Quiz 15 Minuten
Activity: True or False 15 Minuten
Activity: Tab 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

12 Videos1 Lektüre1 Aufgabe7 Plug-ins

12 Videos Insgesamt 157 Minuten

Audiobook: Module 5: Adaptive Learning Systems 66 Minuten
Podcast: Module 5: Adaptive Learning Systems 60 Minuten
5.1 Principles of Adaptive Learning 3 Minuten
5.2 Adaptive Learning: Technologies, Benefits, and Challenges 4 Minuten
5.3 Learner Modelling 2 Minuten
5.4 Content Modelling and Adaptivity and Personalization Mechanisms 4 Minuten
5.5 Integration with Existing Systems 3 Minuten
5.6 Scalability, Accessibility, Continuous Improvement and Feedback Loops 3 Minuten
5.7 Dynamic Assessment Methods 3 Minuten
5.8 Feedback, Support, and Measuring Effectiveness 3 Minuten
5.9 Data Privacy and Security 3 Minuten
5.10 Bias, Fairness, Informed Consent, and Transparency in AI 4 Minuten

1 Lektüre Insgesamt 10 Minuten

Hands on 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 5 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 5: Adaptive Learning Systems 15 Minuten
Activity: Quiz 15 Minuten
Activity: Popup 15 Minuten
Activity: Drop down 15 Minuten
Activity: Drag and Drop 15 Minuten
Activity: Case study 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

12 Videos1 Lektüre1 Aufgabe7 Plug-ins

12 Videos Insgesamt 180 Minuten

Audiobook: Module 6: Ethics and Bias in AI for L&D 70 Minuten
Podcast: Module 6: Ethics and Bias in AI for L&D 75 Minuten
6.1 Fundamentals of AI Ethics, Ethical Design and Development 4 Minuten
6.2 Global Perspectives on AI Ethics 4 Minuten
6.3 Data Privacy Principles, Consent and Data Control 4 Minuten
6.4 Mitigating Privacy Risks 3 Minuten
6.5 Identifying Biases in AI 4 Minuten
6.6 Impact of Bias and Strategies for Mitigating Bias 5 Minuten
6.7 Engaging Learners Ethically and Transparency with AI Tools 4 Minuten
6.8 Learner Autonomy and AI 2 Minuten
6.9 Evolving Ethical Standards and Innovations in Ethical AI 3 Minuten
6.10 Preparing for an AI-Ethical Future in L&D 3 Minuten

1 Lektüre Insgesamt 10 Minuten

Hands on 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 6 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 6: Ethics and Bias in AI for L&D 15 Minuten
Activity: Hotspot 15 Minuten
Activity: Quiz 15 Minuten
Activity: Drag and Drop 15 Minuten
Activity: Drop Down 15 Minuten
Activity: Tab 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

12 Videos1 Lektüre1 Aufgabe7 Plug-ins

12 Videos Insgesamt 140 Minuten

Audiobook: Module 7: Emerging Technologies and Future Trends 61 Minuten
Podcast: Module 7: Emerging Technologies and Future Trends 50 Minuten
7.1 AR for Interactive Learning 3 Minuten
7.2 Practical Applications of AR and Development Tools and Challenges 4 Minuten
7.3 VR for Immersive Experiences and Curriculum Integration 3 Minuten
7.4 Hardware and Software Considerations 2 Minuten
7.5 Adaptive Learning Platforms 2 Minuten
7.6 Predictive Analytics in Education and Ethical and Privacy Concerns 3 Minuten
7.7 Secure Learning Records 3 Minuten
7.8 Smart Contracts for Education and Decentralized Education Systems 4 Minuten
7.9 Natural Language Processing (NLP) Enhancements and Generative AI for Content Creation 3 Minuten
7.10 Ethical AI and Inclusive Technologies 2 Minuten

1 Lektüre Insgesamt 10 Minuten

Hands on 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 7 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 7: Emerging Technologies and Future Trends 15 Minuten
Activity: Popup 15 Minuten
Activity: Quiz 15 Minuten
Activity: Flip a Card 15 Minuten
Activity: Multiple Choice Questions 15 Minuten
Activity: Case Study 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Das ist alles enthalten

13 Videos1 Lektüre1 Aufgabe7 Plug-ins

13 Videos Insgesamt 169 Minuten

Audiobook: Module 8: Implementation and Best Practices 63 Minuten
Podcast: Module 8: Implementation and Best Practices 70 Minuten
8.1 Needs Assessment 4 Minuten
8.2 Technology Alignment and Stakeholder Engagement 6 Minuten
8.3 Evaluating AI Solutions 3 Minuten
8.4 Cost-Benefit Analysis and Vendor Selection 3 Minuten
8.5 Pilot Programs 2 Minuten
8.6 Training, Support & Integration 4 Minuten
8.7 Performance Metrics and Feedback Loops 3 Minuten
8.8 Adaptive Learning and Iteration 3 Minuten
8.9 Data Privacy and Security 2 Minuten
8.10 Ethical AI Practices and Regulatory Compliance 3 Minuten
Course Summary 4 Minuten

1 Lektüre Insgesamt 10 Minuten

Hands on 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Quiz 8 30 Minuten

7 Plug-ins Insgesamt 105 Minuten

EBook: Module 8: Implementation and Best Practices 15 Minuten
Activity: Drag and Drop 15 Minuten
Activity: True or False 15 Minuten
Activity: Scenario 15 Minuten
Activity: Hotspot 15 Minuten
Activity: Multiple Choice Questions 15 Minuten
Activity: Lets Check your Knowledge 15 Minuten

Dozent

AI CERTs Team

AI CERTs

44 Kurse 12.376 Lernende

von

AI CERTs

Mehr von Leadership and Management entdecken

Status: Vorschau
Coursera
GenAI for Learning and Development
Kurs
Status: Kostenloser Testzeitraum
Politecnico di Milano
Learning with AI
Kurs
Status: Vorschau
Hult International Business School
THRIVE with AI: Mastering AI for Leadership Growth & Innovation
Kurs
Status: Vorschau
Università di Napoli Federico II
Teaching with AI: tools
Kurs

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Neue Karrieremöglichkeiten mit Coursera Plus

Unbegrenzter Zugang zu 10,000+ Weltklasse-Kursen, praktischen Projekten und berufsqualifizierenden Zertifikatsprogrammen - alles in Ihrem Abonnement enthalten

Mehr erfahren

Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.

Erwerben Sie einen Abschluss von erstklassigen Universitäten – 100 % online

Erkunden Sie die Abschlüsse

Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.

Schulen Sie Ihre Mitarbeiter*innen, um sich in der digitalen Wirtschaft zu behaupten.

Mehr erfahren

Häufig gestellte Fragen

It equips professionals to integrate AI into training, design personalized learning paths, and optimize employee performance.

Learning & Development professionals, instructional designers, HR experts, AI specialists, and students entering the L&D field.

No. A basic understanding of AI concepts and familiarity with digital tools is sufficient.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Weitere Fragen

Besuchen Sie die das Hilfe-Center für Kursteilnehmer.

Finanzielle Unterstützung verfügbar,

AI for Learning & Development

kurs ist nicht verfügbar in Deutsch (Deutschland)

AI for Learning & Development

Was Sie lernen werden

Kompetenzen, die Sie erwerben

Wichtige Details

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

In diesem Kurs gibt es 8 Module

Module 1: Introduction to Artificial Intelligence (AI) in Education

Das ist alles enthalten

Module 2: Machine Learning Fundamentals

Das ist alles enthalten

Module 3: Natural Language Processing (NLP) For Educational Content

Das ist alles enthalten

Module 4: AI Driven Content Creation and Curation

Das ist alles enthalten

Module 5: Adaptive Learning Systems

Das ist alles enthalten

Module 6: Ethics and Bias in AI for L&D

Das ist alles enthalten

Module 7: Emerging Technologies and Future Trends

Das ist alles enthalten

Module 8: Implementation and Best Practices

Das ist alles enthalten

Dozent

von

Mehr von Leadership and Management entdecken

GenAI for Learning and Development

Learning with AI

THRIVE with AI: Mastering AI for Leadership Growth & Innovation

Teaching with AI: tools

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Neue Karrieremöglichkeiten mit Coursera Plus

Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.

Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.

Häufig gestellte Fragen

1. What is the AI for Learning & Development certification about?

2. Who can benefit from this program?

3. Do I need prior AI experience to enroll?

Weitere Fragen