The LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning is a forward-thinking qualification designed for education professionals, trainers, and digital innovators who wish to deepen their expertise in applying AI technologies to enhance teaching and learning outcomes.
As artificial intelligence continues to transform education across all levels, this diploma equips learners with the knowledge, tools, and strategies needed to implement AI effectively in both academic and training environments. It blends theory with practice to provide a comprehensive foundation in AI-enhanced educational delivery.
This diploma focuses on the integration of AI technologies such as machine learning, real-time data analytics, intelligent tutoring systems, and AI-driven personalization tools. Learners will explore how these technologies can be used to automate routine tasks, create customized learning experiences, and support data-informed decision-making in education. T
he LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning ensures that learners not only understand AI principles but can also apply them meaningfully within real-world educational contexts.
The course covers essential areas including AI for inclusive education, chatbots in learner engagement, predictive performance analysis, and the ethical management of educational data. The program encourages critical thinking and practical problem-solving through project work, case studies, and interactive exercises, allowing participants to build skills in planning, deploying, and evaluating AI-driven learning systems.
By the end of the course, participants will have the capability to design AI-integrated learning solutions, assess AI tools for educational suitability, and contribute to the development of future-ready learning environments.
The diploma also emphasizes the importance of ethical, legal, and cultural considerations when adopting AI in education, ensuring that learners are prepared to make responsible and strategic decisions. This course supports the professional growth of individuals aiming to take a leadership role in AI-based educational innovation.
The LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning is ideally suited for educators, academic managers, curriculum developers, instructional designers, and education technology specialists.
As educational institutions increasingly embrace AI to improve efficiency and student engagement, this qualification provides the skills and insights needed to lead and support transformative change. With its applied focus and industry-relevant content, the course prepares participants to thrive in the evolving landscape of AI-powered education.
Course Overview
Qualification Title
LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
36
GLH
120
Qualification #
LICQ2200510
Qualification Specification
To enroll in the LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200510-1 |
Strategic Implementation of AI in Educational Institutions |
6 |
20 |
|
LICQ2200510-2 |
Evaluating AI’s Impact on Institutional KPIs |
6 |
20 |
|
LICQ2200510-3 |
AI for Curriculum Mapping and Design Optimization |
6 |
20 |
|
LICQ2200510-4 |
Learning Analytics and Decision Support Systems |
6 |
20 |
|
LICQ2200510-5 |
Industry Collaboration: EdTech and AI Development |
6 |
20 |
|
LICQ2200510-6 |
Capstone Project: AI Strategy Proposal for an Institution |
6 |
20 |
By the end of this course,applicants will be able to:
1. Strategic Implementation of AI in Educational Institutions
- Develop strategic plans for integrating AI across teaching, administration, and support systems.
- Identify key resources, stakeholders, and readiness factors for successful AI adoption.
2. Evaluating AI’s Impact on Institutional KPIs
- Analyze how AI tools influence institutional performance indicators such as retention, engagement, and learner achievement.
- Apply evaluation methods to assess the effectiveness of AI solutions on operational and educational KPIs.
3. AI for Curriculum Mapping and Design Optimization
- Use AI tools to streamline curriculum development and align learning outcomes with student needs.
- Evaluate curriculum structures for opportunities to implement adaptive and personalized AI-enhanced content.
4. Learning Analytics and Decision Support Systems
- Interpret learning analytics data to support evidence-based decisions in teaching and learning.
- Utilize AI-powered decision support systems to enhance educational planning and interventions.
5. Industry Collaboration: EdTech and AI Development
- Explore collaboration models between educational institutions and EdTech companies.
- Identify trends and opportunities in AI development through industry engagement and partnerships.
6. Capstone Project: AI Strategy Proposal for an Institution
- Design and present a comprehensive AI integration strategy tailored to a specific educational institution.
- Demonstrate the ability to align AI implementation with institutional goals, policy frameworks, and learner outcomes.
This diploma is ideal for:
- Education managers responsible for driving digital transformation in academic institutions
- School principals and administrators seeking to implement AI strategies across departments
- Curriculum developers aiming to optimize course design using AI-driven tools
- Instructional designers looking to align learning content with real-time data analytics
- Academic coordinators involved in strategic planning and performance evaluation
- Education consultants advising institutions on AI adoption and integration
- Quality assurance officers assessing AI’s impact on educational KPIs and institutional goals
- EdTech professionals collaborating with academic institutions on AI-based solutions
- Learning and development managers in corporate training environments
- Policy makers and education strategists shaping AI frameworks in schools and colleges
- Project managers overseeing technology implementation in educational settings
- Data analysts and academic researchers applying AI for decision-making and evaluation
- ICT specialists supporting AI infrastructure within educational organizations
- Teachers and trainers interested in transitioning into AI-focused leadership roles
- Higher education administrators preparing for large-scale AI transformation initiatives
- Professionals in NGO and international education programs exploring scalable AI adoption
- Entrepreneurs and innovators in the educational technology sector
- Government education officers managing national or regional digital education agendas
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.
