The LICQual Level 3 Certificate in Artificial Intelligence in Education and Learning is an advanced qualification developed for education professionals, academic leaders, and digital learning innovators aiming to lead AI-driven transformation in education.
As artificial intelligence continues to redefine how learning is delivered, personalized, and assessed, this course provides the strategic insight, technical knowledge, and implementation skills required to effectively integrate AI technologies into diverse educational environments. It equips learners to move beyond theory and actively drive innovation within their institutions or organizations.
The program explores the complex interplay between AI technologies and modern pedagogy, focusing on practical applications such as deep learning, intelligent automation, and AI-based analytics in education.
Through immersive study units, learners gain a strong grasp of designing intelligent learning systems, applying predictive analytics, and utilizing AI tools to increase engagement and improve learner outcomes. The LICQual Level 3 Certificate in Artificial Intelligence in Education and Learning helps participants align AI capabilities with instructional goals, while considering data privacy, equity, and digital ethics.
The course covers key areas including curriculum innovation using AI, adaptive learning design, virtual academic advising, real-time data tracking, and inclusive learning technologies. Learners will engage in advanced case studies, scenario-based projects, and institutional-level pilot exercises that reflect current and emerging global best practices in AI-enhanced education. Each unit is tailored to ensure immediate relevance and application across both academic and professional training environments.
By completing this course, participants will be equipped to design, manage, and evaluate complex AI learning solutions, lead AI policy development, and support digital transformation strategies within their organizations.
They will also develop the skills to train others on AI integration and make data-informed decisions to improve learner performance and institutional success. With a strong focus on measurable outcomes, innovation, and compliance, this qualification supports long-term impact and sustainable educational advancement.
The LICQual Level 3 Certificate in Artificial Intelligence in Education and Learning is ideal for senior educators, instructional technologists, academic program developers, corporate trainers, and education consultants who are ready to lead in the era of intelligent learning.
As educational institutions increasingly adopt AI to address changing learner needs and global challenges, this course ensures professionals are fully prepared to shape the future of digital education. With strategic depth and hands-on application, it is a powerful credential for anyone committed to advancing education through artificial intelligence.
Course Overview
Qualification Title
LICQual Level 3 Certificate in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
24
GLH
120
Qualification #
LICQ2200508
Qualification Specification
To enroll in the LICQual Level 3 Certificate in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200508-1 |
Designing AI-Based Learning Architectures |
4 |
20 |
|
LICQ2200508-2 |
AI for Multilingual and Cross-Cultural Education |
4 |
20 |
|
LICQ2200508-3 |
Leveraging Big Data and Predictive Analytics for Learner Outcomes |
4 |
20 |
|
LICQ2200508-4 |
Cognitive Computing and Intelligent Content Delivery |
4 |
20 |
|
LICQ2200508-5 |
Building AI-Infused Educational Apps (No-code/Low-code) |
4 |
20 |
|
LICQ2200508-6 |
Independent Project: Proposing an AI Innovation in Education |
4 |
20 |
By the end of this course,applicants will be able to:
1. Designing AI-Based Learning Architectures
- Develop frameworks for AI-integrated instructional design tailored to diverse learning environments.
- Evaluate the scalability and effectiveness of AI-driven learning infrastructures in educational institutions.
2. AI for Multilingual and Cross-Cultural Education
- Analyze how AI technologies support language diversity and cultural inclusivity in education.
- Apply AI tools to create adaptive learning pathways for multilingual and international learners.
3. Leveraging Big Data and Predictive Analytics for Learner Outcomes
- Use big data tools to analyze student behavior, performance, and engagement patterns.
- Apply predictive models to forecast learning outcomes and support targeted interventions.
4. Cognitive Computing and Intelligent Content Delivery
- Explain the principles of cognitive computing and its application in dynamic content personalization.
- Implement AI-driven content delivery systems that respond to real-time learner needs.
5. Building AI-Infused Educational Apps (No-code/Low-code)
- Design and prototype basic AI-powered educational applications using no-code/low-code platforms.
- Integrate AI functionalities such as chatbots, recommendation systems, and assessment tools into app designs.
6. Independent Project: Proposing an AI Innovation in Education
- Plan and present an original project that proposes an innovative AI solution for an educational challenge.
- Demonstrate the ability to conduct research, evaluate feasibility, and align AI applications with pedagogical goals.
This diploma is ideal for:
- Senior educators seeking to lead AI integration in schools, colleges, or training institutions
- Instructional designers developing intelligent and adaptive learning architectures
- Academic coordinators and program heads responsible for curriculum innovation
- Education technology specialists deploying AI solutions within LMS and digital ecosystems
- Corporate trainers aiming to build AI-driven learning pathways in professional development
- Digital learning consultants advising institutions on AI transformation strategies
- Researchers exploring the intersection of AI, pedagogy, and cognitive science
- Policy makers and education leaders shaping digital education strategies and frameworks
- Edtech entrepreneurs designing scalable AI-infused educational applications
- E-learning developers interested in no-code or low-code AI app development
- Education managers implementing predictive analytics for learner performance and retention
- Developers transitioning into the educational domain with a focus on AI integration
- Professionals working in multilingual or cross-cultural educational settings
- Quality assurance officers evaluating the effectiveness of AI-based instructional models
- NGO or non-profit staff promoting inclusive, tech-enabled education for underserved groups
- Academic advisors using data-driven insights to personalize student support
- Digital transformation officers managing the strategic adoption of AI in education
- Teachers interested in upskilling for future-ready, AI-enhanced classroom environments
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.
