The LICQual Level 2 Certificate in Artificial Intelligence in Education and Learning is a specialized qualification designed to deepen learners’ knowledge and practical skills in applying AI within diverse educational environments.
As artificial intelligence continues to revolutionize the education sector, this course provides a structured approach to understanding advanced tools, technologies, and methodologies that improve learning outcomes, streamline educational delivery, and support data-informed decision-making. It empowers participants to harness AI for creating adaptive, personalized, and inclusive learning experiences.
This course offers a balanced combination of theoretical principles and real-world applications tailored for professionals working in teaching, training, or curriculum development. Learners will explore machine learning applications, intelligent content delivery, AI-based performance tracking, and the use of virtual tutors and chatbots.
The LICQual Level 2 Certificate in Artificial Intelligence in Education and Learning goes beyond introductory understanding by engaging participants with the design, implementation, and evaluation of AI tools that align with modern pedagogical practices.
This certificate provides in-depth coverage of topics such as deep learning for education, ethical data management, AI in inclusive learning, microlearning with AI support, and predictive analytics in student assessment. Interactive scenarios, case studies, and project-based tasks reinforce learning and support the development of practical competencies in real-time educational settings. The course structure ensures learners can transition from theory to application with confidence and clarity.
Upon successful completion, learners will be able to design AI-informed learning modules, assess the pedagogical value of AI technologies, and implement AI systems that enhance engagement, efficiency, and equity in education.
This course also prepares participants to critically analyze AI’s impact on student success and institutional effectiveness, while considering data ethics, privacy, and inclusivity. These skills are vital for professionals driving innovation and digital transformation in today’s education systems.
The LICQual Level 2 Certificate in Artificial Intelligence in Education and Learning is ideal for educators, e-learning developers, education managers, and digital learning consultants looking to enhance their roles with AI competencies.
As the education sector increasingly adopts AI-driven approaches, this certificate equips learners with the tools and knowledge to lead and adapt in forward-thinking, technology-rich learning environments. This course is a crucial step for anyone committed to advancing their career in the evolving field of AI in education.
Course Overview
Qualification Title
LICQual Level 2 Certificate in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
18
GLH
72
Qualification #
LICQ2200507
Qualification Specification
To enroll in the LICQual Level 2 Certificate in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200507-1 |
Adaptive Learning Systems and Algorithm Design |
3 |
12 |
|
LICQ2200507-2 |
Chatbots and Conversational AI in Learning |
3 |
12 |
|
LICQ2200507-3 |
Ethical and Legal Considerations in AI Deployment |
3 |
12 |
|
LICQ2200507-4 |
AI Integration with LMS and Content Management |
3 |
12 |
|
LICQ2200507-5 |
Real-Time Student Monitoring and Intervention via AI |
3 |
12 |
|
LICQ2200507-6 |
Pilot Testing AI Solutions in Institutional Settings |
3 |
12 |
By the end of this course,applicants will be able to:
1. Adaptive Learning Systems and Algorithm Design
- Explain the principles behind adaptive learning systems and their algorithmic foundations.
- Design and configure basic adaptive learning flows using AI-driven tools for diverse learner needs.
2. Chatbots and Conversational AI in Learning
- Evaluate the role of chatbots in enhancing learner interaction and support.
- Develop simple conversational AI scripts to assist with student engagement and administrative tasks.
3. Ethical and Legal Considerations in AI Deployment
- Identify key ethical issues and legal responsibilities associated with using AI in education.
- Apply data protection and responsible AI practices when designing or deploying AI tools.
4. AI Integration with LMS and Content Management
- Demonstrate how AI can enhance Learning Management Systems (LMS) and content delivery platforms.
- Configure AI-enabled features in LMS for improved navigation, assessment, and learner support.
5. Real-Time Student Monitoring and Intervention via AI
- Use AI tools to track learner performance, behavior, and engagement in real time.
- Apply intervention strategies based on AI-generated analytics to improve learning outcomes.
6. Pilot Testing AI Solutions in Institutional Settings
- Design and implement a pilot AI solution within a controlled educational environment.
- Evaluate pilot outcomes to determine scalability, effectiveness, and areas for improvement.
This diploma is ideal for:
- Educators aiming to implement AI-driven learning systems in classrooms and training environments
- Instructional designers looking to create personalized and adaptive learning experiences
- E-learning developers seeking to integrate AI tools into digital education platforms
- School and academic administrators exploring real-time AI monitoring and reporting tools
- Education technology specialists responsible for managing AI-integrated LMS systems
- Trainers in corporate learning environments who want to utilize AI for performance tracking
- Curriculum developers designing content that leverages AI automation and feedback
- Academic coordinators interested in piloting and evaluating AI-based solutions in institutions
- Consultants advising schools or training centers on AI deployment and digital transformation
- Policy makers and education leaders shaping ethical and legal guidelines for AI in education
- Professionals involved in student support services using conversational AI and chatbots
- Researchers studying the impact of AI on learner engagement, accessibility, and outcomes
- IT professionals transitioning into the educational technology sector with a focus on AI
- Project managers overseeing the rollout of AI tools in education and training programs
- Special education professionals aiming to enhance support through adaptive AI technologies
- Quality assurance teams evaluating the effectiveness of AI-integrated learning environments
- Professionals developing or managing education-related SaaS platforms with AI components
- NGOs and nonprofit workers implementing AI-driven educational initiatives for underserved communities
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.
