AI+ Learning & Development™ - eLearning (exam included)

225,00 EUR

  • 15 hours
eLearning

The AI+ Learning & Development Certification is a well-rounded program that delves into how Artificial Intelligence (AI) is reshaping education. It equips participants with essential future-ready skills by combining foundational theory with hands-on, practical learning.

Key Features

Language

Course and material in English

Level

Beginner level (Category: AI+ Professional)

Access

1 year access to the platform 24/7

8 hours of video lessons & multimedia

15 hours of study time recommendation

Material

Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.

Exam

Online Proctored Exam with One Free Retake

Certificate

Certification of completion included

Tools You’ll Master

LinkedIn Learning, EdCast, Synthesia, FairSight, 360Learning

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About the course

Where Knowledge Meets Innovation

  • Revolutionizing Education with AI: Empower instructors and trainers to integrate AI into modern learning experiences.
  • Comprehensive Learning: Covers key areas such as machine learning, natural language processing, data analytics, and personalized learning models.
  • Hands-On Capstone Project: Develop real-world AI-driven educational solutions for diverse learner profiles.
  • Responsible Innovation: Explore ethical considerations, data-informed teaching, and the latest advancements in AI-powered education.

Participants will learn how to build adaptive learning systems that personalize educational content based on individual student needs. The program also covers the use of Machine Learning (ML) to forecast learner performance and customize learning paths. Additionally, it explores Natural Language Processing (NLP) to enhance communication between educators and learners, while also examining the ethical use of AI in educational environments.

The course culminates in a capstone project, allowing learners to apply AI-driven strategies to solve real educational challenges. Ideal for educators, administrators, and students, this certification provides the knowledge and tools to drive innovation and elevate educational outcomes using AI.


Why This Certification Is Important

Companies increasingly seek individuals who can successfully blend AI with training to deliver personalized and effective learning experiences.

AI for teacher

Learning Outcomes

At the end of this course, you will be able to:

AI-Based Content Creation

Develop skills in using AI tools to design, refine, and personalize educational materials for diverse learning needs.

Building Adaptive Learning Systems

Learn to implement intelligent systems that adjust content and pathways according to individual learner behavior and progress.

Using NLP in Education

Apply Natural Language Processing to improve digital communication, automate feedback, and enhance learner interaction.

Learning Analytics and Data Insights

Explore how to gather and interpret educational data to boost engagement, track outcomes, and improve instructional strategies.

Course timeline

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  1. Introduction to Artificial Intelligence (AI) in Education

    Lesson 1

    • 1.1 Overview of Artificial Intelligence
    • 1.2 AI’s Role in Education and Training
    • 1.3 Impact of AI on Educational Content Creation
    • 1.4 AI in Assessment and Feedback
    • 1.5 Ethical Considerations and Challenges
  2. Machine Learning Fundamentals

    Lesson 2

    • 2.1 Introduction to Machine Learning
    • 2.2 Supervised Learning
    • 2.3 Unsupervised Learning
    • 2.4 Reinforcement Learning
    • 2.5 Machine Learning in Practice
  3. Natural Language Processing (NLP) for Educational Content

    Lesson 3

    • 3.1 Fundamentals of NLP in Education
    • 3.2 Content Analysis and Enhancement
    • 3.3 Personalized Learning and Adaptive Content
    • 3.4 Assessment and Feedback Automation
  4. AI-Driven Content Creation and Curation

    Lesson 4

    • 4.1 AI in Generating Educational Content
    • 4.2 Adaptive Learning Materials Creation
    • 4.3 Dynamic Assessment Item Generation
    • 4.4 Curating Educational Resources
    • 4.5 Challenges and Ethical Considerations in AI-Driven Content
  5. Adaptive Learning Systems

    Lesson 5

    • 5.1 Foundations of Adaptive Learning
    • 5.2 Designing Adaptive Learning Systems
    • 5.3 Implementation Strategies
    • 5.4 Assessment and Evaluation in Adaptive Systems
    • 5.5 Ethical and Privacy Considerations
  6. Ethics and Bias in AI for L&D

    Lesson 6

    • 6.1 Understanding AI Ethics in L&D
    • 6.2 Privacy Concerns in AI-Driven L&D
    • 6.3 Bias and Fairness in AI Assessments
    • 6.4 Ethical AI Use and Learner Engagement
    • 6.5 Future Challenges and Opportunities
  7. Emerging Technologies and Future Trends

    Lesson 7

    • 7.1 Augmented Reality (AR) in Education
    • 7.2 Virtual Reality (VR) in Learning Environments
    • 7.3 AI-Driven Personalized Learning
    • 7.4 Blockchain in Education
    • 7.5 Emerging AI Technologies in Educational Research and Development
  8. Implementation and Best Practices

    Lesson 8

    • 8.1 Strategic Planning for AI Integration
    • 8.2 Selecting the Right AI Tools
    • 8.3 Implementing AI Solutions
    • 8.4 Monitoring and Evaluating Impact
    • 8.5 Ethical Use and Data Governance
  9. AI Agents for Learning & Development

    Optional

    • 1. Understanding AI Agents
    • 2. Case Studies
    • 3. Hands-On Practice with AI Agents

Industry Growth

Advancing Workforce Skills with AI-Powered Learning

  • The global market for AI in learning and development is projected to grow at a 34.5% CAGR between 2023 and 2030. (Source: Grand View Research)
  • AI is revolutionizing sectors like education, corporate training, and e-learning by enabling scalable, personalized learning solutions.
  • Organizations are rapidly adopting AI tools to tailor training materials and boost learner engagement.
  • Industries such as healthcare, finance, and tech are relying on AI to strengthen workforce skills, streamline knowledge sharing, and improve performance.
  • AI is reshaping how educational content is delivered—making learning more effective, measurable, and aligned with strategic goals.
AI for teacher

Who Should Enroll in this Program?

L&D Practitioners: Strengthen training programs by integrating AI tools for smarter, more personalized learning solutions.

Instructional Designers: Use AI to craft adaptive learning paths and improve content effectiveness.

AI Professionals: Develop cutting-edge educational solutions that enhance learner engagement and success.

HR & OD Specialists: Utilize AI to assess performance metrics and streamline employee development initiatives.

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More Details

Prerequisites

  • Foundational knowledge of AI concepts and terminology
  • Comfort with using digital platforms and tools for education
  • Understanding of instructional design and learning theory
  • Prior experience in education, training, or content creation roles
  • Openness to exploring technical topics and applying AI within learning and development contexts

Exam Details

  • Duration: 90 minutes
  • Passing :70% (35/50)
  • Format: 50 multiple-choice/multiple-response questions
  • Delivery Method: Online via proctored exam platform (flexible scheduling)
  • Language: English

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.


Frequently Asked Questions

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