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

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

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.

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.

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.

Why This Certification Is Important

• Rising Need for AI-Savvy L&D Professionals: Companies increasingly seek individuals who can successfully blend AI with training to deliver personalized and effective learning experiences.

• Risks of Improper AI Use in Training: Poorly implemented AI can reduce training effectiveness, disengage learners, and hinder performance improvements.

• Driving Innovation in Learning Design: Certified experts are instrumental in building AI-driven strategies that support ongoing learning, upskilling, and business alignment.

• Boosting Career Opportunities: With AI reshaping the L&D landscape, this certification equips professionals with the skills to lead innovation and progress into senior roles.

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.

Key Features

• Course and material in English 
• Beginner level  (Category: AI+ Professional)
• 1 year access to the platform 24/7

• 8 hours of video lessons & multimedia resources
• 15 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake
• Certification of completion included
• Tools You’ll Master:  LinkedIn Learning, EdCast, Synthesia, FairSight, 360Learning

Learning Outcomes

• 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.

Target Audience

• 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.

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

Course Content

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

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

Module 2: Machine Learning Fundamentals

2.1 Introduction to Machine Learning

2.2 Supervised Learning

2.3 Unsupervised Learning

2.4 Reinforcement Learning

2.5 Machine Learning in Practice

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

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

Module 4: AI-Driven Content Creation and Curation

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

Module 5: Adaptive Learning Systems

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

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

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

Module 7: Emerging Technologies and Future Trends

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

Module 8: Implementation and Best Practices

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

Optional Module: AI Agents for Learning & Development

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

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.

FAQ

Who is this course for?
Perfect for teachers, instructional designers, corporate trainers, and professionals aiming to use AI to improve educational outcomes.

What are the advantages of the capstone project?
It offers hands-on experience, enabling learners to tackle real-world educational challenges with AI solutions—boosting both practical skills and professional credibility.

What career paths can this certification support?
Graduates can take on leadership roles in AI education initiatives, create advanced learning tools, or work as AI education consultants in schools or organizations.

Which industries benefit from these skills?
These competencies are valuable in K–12 schools, universities, corporate L&D, and any sector that prioritizes education, training, and upskilling.

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.