The LICQual Level 3 Award in Artificial Intelligence in Education and Learning is an advanced qualification designed for professionals eager to lead the transformation of modern education through cutting-edge AI technologies. As artificial intelligence reshapes how knowledge is delivered, assessed, and managed, this course provides the critical insight and applied skills needed to harness AI for scalable, personalized, and impactful educational experiences.
With a focus on practical implementation and strategic innovation, this qualification supports educators and digital learning professionals in navigating and shaping the AI-powered education landscape.
This course empowers learners to critically assess, plan, and implement AI solutions within complex learning environments. Through a balanced mix of theoretical frameworks and hands-on applications, participants explore how intelligent automation, deep learning, and real-time analytics contribute to more adaptive and responsive teaching models.
The LICQual Level 3 Award in Artificial Intelligence in Education and Learning goes beyond introductory knowledge, equipping professionals with the skills to design AI-integrated learning ecosystems that improve student engagement, learning outcomes, and institutional efficiency.
Delivered over two intensive days, Participants will explore specialized topics such as the integration of neural networks in content recommendation, AI-supported decision-making in education management, and the use of generative AI in curriculum enhancement. Each unit is designed to reflect real-world applications of AI in both academic and corporate learning environments, ensuring the course remains industry-relevant and future-focused.
On completion, learners will be capable of leading AI-driven education initiatives, evaluating ethical and regulatory challenges, and applying predictive analytics to learner behavior and performance. The course promotes strategic thinking and innovation, encouraging participants to contribute to the development of inclusive, equitable, and technologically enhanced learning models. Practical scenarios, collaborative workshops, and case-based assessments allow learners to translate theoretical concepts into actionable solutions within their own institutions or organizations.
The LICQual Level 3 Award in Artificial Intelligence in Education and Learning is ideal for education leaders, edtech innovators, academic managers, and digital transformation strategists.
As AI continues to redefine educational delivery and management, this qualification offers the advanced knowledge and professional competence required to thrive in a rapidly evolving learning landscape. By mastering AI applications in education, participants will gain a competitive edge and be well-prepared to influence the future of learning at local and global levels.
Course Overview
Qualification Title
LICQual Level 3 Award in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
6
GLH
18
Qualification #
LICQ2200505
Qualification Specification
To enroll in the LICQual Level 3 Award in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200505-1 |
AI-Driven Decision Making in Educational Planning |
1 |
3 |
|
LICQ2200505-2 |
Deep Learning Concepts for Education Professionals |
1 |
3 |
|
LICQ2200505-3 |
AI in Special Education and Inclusive Learning |
1 |
3 |
|
LICQ2200505-4 |
Creating AI-Enhanced Curricula |
1 |
3 |
|
LICQ2200505-5 |
Evaluating AI Tools for Pedagogical Effectiveness |
1 |
3 |
|
LICQ2200505-6 |
Future Trends: AI and the Evolution of Digital Learning |
1 |
3 |
By the end of this course,applicants will be able to:
1. AI-Driven Decision Making in Educational Planning
- Analyze how AI supports strategic decision-making in curriculum design, student tracking, and resource allocation.
- Apply data-driven insights to enhance institutional planning and learner success.
2. Deep Learning Concepts for Education Professionals
- Explain core deep learning techniques such as neural networks and their relevance to education.
- Assess how deep learning models can be applied to personalize learning and predict performance.
3. AI in Special Education and Inclusive Learning
- Evaluate how AI tools support learners with diverse needs, including disabilities and language barriers.
- Design inclusive learning strategies using AI-powered assistive technologies.
4. Creating AI-Enhanced Curricula
- Develop curriculum frameworks that incorporate AI tools for interactive and adaptive learning.
- Integrate AI into lesson planning to support differentiated instruction and continuous assessment.
5. Evaluating AI Tools for Pedagogical Effectiveness
- Critically assess the effectiveness and usability of AI applications in educational settings.
- Use evaluation metrics to select tools that align with instructional goals and learner needs.
6. Future Trends: AI and the Evolution of Digital Learning
- Explore emerging AI trends such as generative AI, immersive learning environments, and blockchain in education.
- Anticipate future challenges and opportunities presented by AI in shaping digital learning ecosystems.
This diploma is ideal for:
- Education leaders aiming to drive digital transformation through AI integration
- Senior teachers and academic coordinators seeking to implement AI-driven instruction strategies
- Curriculum developers designing AI-enhanced learning modules
- Instructional designers focusing on adaptive and personalized education solutions
- E-learning specialists responsible for digital content development and delivery
- Special education professionals looking to incorporate AI tools for inclusive learning
- Education technologists managing AI platforms and data systems in academic institutions
- Policy makers developing frameworks for ethical AI use in education
- Education consultants advising on AI implementation and impact assessment
- Training managers and facilitators in corporate learning environments
- Researchers studying the intersection of AI, pedagogy, and learner outcomes
- Edtech entrepreneurs developing AI-based educational tools and platforms
- Program directors overseeing digital transformation in schools, colleges, or training centers
- Academic advisors interested in leveraging data analytics for student performance forecasting
- Digital learning strategists exploring future trends in educational technology
- Government and NGO workers engaged in advancing inclusive and tech-enabled education
- Professionals transitioning into the education sector with a background in AI or data science
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.
