Why This Certification Matters
Growing Demand for AI-Integrated Training Experts: Organizations are actively seeking certified experts who can integrate AI with training programs to personalize learning and improve employee performance.
Challenges of Poor AI Integration in Training: Inadequate integration of AI in learning and development programs can lead to ineffective training, low engagement, and poor employee outcomes.
Creating AI-Powered Learning Strategies: Certified professionals play a key role in developing AI-powered learning strategies that ensure continuous improvement, skill enhancement, and alignment.
Career Advancement: As AI transforms the learning and development sector, this certification provides professionals with the expertise to stay ahead and take on advanced roles.
At a Glance: Course + Exam Overview
Program Name
AI+ Learning & Development™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Prerequisites
Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Projects & case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
- Learning and Development Professionals: Enhance employee training and development strategies using AI-driven learning tools.
- Instructional Designers: Apply AI techniques to design personalized learning experiences and optimize content delivery.
- AI Specialists: Leverage AI to create innovative solutions for improving learning outcomes and enhancing educational platforms.
- HR Professionals & Organizational Development Experts: Implement AI-powered systems to analyze employee performance and optimize training programs.
- Students & New Graduates: Build essential skills in AI and learning technologies to excel in the evolving field of education and training.
Prerequisites
- A basic understanding of artificial intelligence concepts and terminologies
- Proficiency in using digital tools and platforms for educational purposes
- Familiarity with learning theories and instructional design principles
- Some experience in educational or training roles, such as teaching, content development, or instructional design
- A willingness to engage with technical subjects and apply AI technologies in the context of learning and development.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- Introduction to Artificial Intelligence (AI) in Education – 15%
- Machine Learning Fundamentals – 10%
- Natural Language Processing (NLP) for Educational Content – 15%
- AI-Driven Content Creation and Curation – 15%
- Adaptive Learning Systems – 15%
- Ethics and Bias in AI for L&D – 10%
- Emerging Technologies and Future Trends – 10%
- Implementation and Best Practices – 10%