Artificial intelligence is revolutionising industries worldwide, creating demand for professionals with the knowledge and skills to develop, implement, and manage AI-driven solutions. The Qualifi Level 4 Diploma in Artificial Intelligence is designed to provide learners with a solid foundation in AI principles, machine learning, and data analysis. This qualification prepares individuals for careers in technology and innovation by equipping them with the expertise needed to navigate the evolving AI landscape.
Artificial intelligence encompasses a range of technologies that enable machines to learn from data, recognise patterns, and make decisions. It is widely applied in sectors such as healthcare, finance, cybersecurity, and automation. This qualification introduces learners to fundamental AI concepts, including supervised and unsupervised learning, neural networks, and natural language processing. By developing a strong understanding of AI frameworks and methodologies, learners can contribute to the advancement of intelligent systems.
Pursuing this diploma provides learners with a competitive edge in the job market by developing technical proficiency in AI technologies. The course enhances problem-solving abilities, analytical thinking, and programming skills, which are essential for AI development and implementation. Additionally, it serves as a stepping stone for further education, enabling learners to progress to advanced AI qualifications or specialised certifications.
The Qualifi Level 4 Diploma in Artificial Intelligence offers a comprehensive introduction to AI, equipping learners with the knowledge and skills required to excel in this dynamic field. Whether pursuing a career in AI research, software development, or data analysis, this qualification provides a strong foundation for professional growth. As industries increasingly integrate AI-driven solutions, acquiring expertise in artificial intelligence opens doors to a wide range of opportunities in the digital era.
The Qualifi Level 4 Diploma in Artificial Intelligence qualification consists of 6 mandatory units for Credit Equivalency 120 for the completed qualification.
| Sr# | Unit Title | Credits | GLH |
| 1 | Introduction to Artificial Intelligence and Applications | 20 | 120 |
| 2 | Mathematical Foundations for Machine Learning | 20 | 120 |
| 3 | Data Science Using Python | 20 | 120 |
| 4 | Big Data Management | 20 | 120 |
| 5 | Introduction to Deep Learning | 20 | 120 |
| 6 | Artificial Intelligence Ethics | 20 | 120 |
GLH (Guided Learning Hours) and TQT (Total Qualification Time) are terms commonly used in vocational qualifications to help define the amount of time a learner is expected to spend on their studies.
1. GLH (Guided Learning Hours)
GLH refers to the number of hours a learner spends being directly taught, supervised, or supported during their course. This includes the time spent in activities such as:
- Classroom instruction
- Practical workshops
- One-on-one tutoring or mentoring sessions
- Online learning sessions with tutor support
In other words, GLH represents the time that learners are actively engaged with their instructors or learning activities.
2. TQT (Total Qualification Time)
TQT represents the total amount of time a learner is expected to invest in completing a qualification, including:
- GLH (Guided Learning Hours): Time spent on direct learning, as explained above.
- Self-Directed Learning: This includes time spent on independent study, research, assignment completion, preparation for exams, and any other work the learner does outside of direct teaching hours.
TQT is a broader measure that includes all the time required to achieve the qualification. It helps learners and employers understand the overall commitment required for the qualification.
Key Differences Between GLH and TQT:
- GLH focuses on direct learning with guidance or supervision.
- TQT includes GLH as well as independent study time and other learning-related activities.
Example:
If a qualification has a TQT of 600 hours and a GLH of 250 hours, it means the learner should spend 250 hours in direct learning (classroom, online, or tutor-led sessions) and 350 hours on independent study or research.
Learning Outcomes of Qualifi Level 4 Diploma in Artificial Intelligence
Introduction to Artificial Intelligence and Applications
- Understand the fundamental principles and concepts of AI.
- Understand trending AI applications and technologies used within industry.
- Apply key trending AI tools to simple business scenarios
- Understand how AI can be used to address future sustainable society needs
Mathematical Foundations for Machine Learning
- Understand the role of maths and statistics in Machine Learning.
- Understand statistical methods and tools for data analysis
- Be able to integrate statistical methods in solving business challenges.
- Be able to propose business solutions based on inferential statistics results.
Data Science Using Python
- Understand Python for data analysis
- Be able to convert a given dataset to derive insights using data visualization
- Be able to apply basic machine learning concepts using Python
- Be able to analyze data to solve a given real-world data science problem.
Big Data Management
- Understand what constitutes big data and its importance.
- Be able to use technologies and tools in big data analytics
- Be able to apply techniques for mining, processing, and analyzing large datasets.
- Be able to review applications of big data in different key industries.
Introduction to Deep Learning
- Understand basic machine learning concepts that apply when developing deep learning models.
- Understand how to develop basic deep learning models.
- Be able to apply Neural network models to carry out simple tasks using popular frameworks.
- Be able to interpret results using prepared sample data to preprocess deep learning models.
Artificial Intelligence Ethics
- Associate impact of AI on society with established ethical principles.
- Understand Ethical frameworks and principles in relation to AI deployment.
- Understand mitigation in addressing bias, privacy, and security in AI application.
- Understand the governance and regulation of AI ethics.
Course Benefits of the Qualifi Level 4 Diploma in Artificial Intelligence
Comprehensive AI Knowledge
- Gain a solid understanding of artificial intelligence concepts, including machine learning, neural networks, and data processing.
- Develop technical expertise in AI programming languages such as Python and R.
Industry-Relevant Skills
- Learn how to apply AI techniques in real-world scenarios across various industries.
- Enhance problem-solving, analytical, and decision-making skills essential for AI-driven projects.
Career Advancement Opportunities
- Open doors to roles such as AI analyst, machine learning engineer, and data scientist.
- Gain a competitive edge in the evolving job market with a recognised AI qualification.
Progression to Higher Education
- Provides a pathway to advanced AI qualifications, including Level 5 diplomas and university degrees.
- Strengthens the foundation for further specialisation in fields such as robotics, automation, and deep learning.
Ethical and Practical Understanding
- Develop awareness of ethical considerations in AI development and implementation.
- Learn responsible AI practices to create sustainable and unbiased AI solutions.
Ideal Learners
This course is designed for individuals who have a keen interest in artificial intelligence and its applications. It is suitable for those looking to start a career in AI, professionals seeking to enhance their technical skills, and business professionals aiming to integrate AI into organisational strategies. Learners with a background in computing, mathematics, or engineering may find the course particularly beneficial, but prior experience in AI is not mandatory.
Ideal Learner for the Qualifi Level 4 Diploma in Artificial Intelligence
Artificial intelligence is transforming industries, creating a growing demand for skilled professionals who can develop, manage, and implement AI-driven solutions. Whether individuals are looking to start a career in AI or enhance their existing expertise, this qualification provides a structured pathway to acquiring essential knowledge and technical skills.
Aspiring AI Professionals
- Individuals seeking to enter the field of artificial intelligence and machine learning.
- Those interested in AI-driven industries such as automation, robotics, and data science.
IT and Technology Enthusiasts
- Learners with a background in computing, programming, or data analysis.
- Professionals looking to develop AI skills to stay competitive in the evolving technology sector.
Business and Industry Professionals
- Managers and decision-makers aiming to integrate AI into organisational strategies.
- Professionals working in industries where AI enhances efficiency, such as finance, healthcare, and cybersecurity.
Career Changers and Lifelong Learners
- Individuals from non-technical backgrounds looking to transition into AI-related roles.
- Those with a passion for emerging technologies and a willingness to learn AI fundamentals.
This diploma is designed to accommodate learners with different levels of experience, providing them with the necessary skills to apply AI knowledge in various professional settings.
Entry Requirements
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Qualification Process
Qualification Process for the Qualifi Level 4 Diploma in Artificial Intelligence
- Self-Assessment:
Begin by evaluating your eligibility to ensure you meet the qualification requirements, including work experience, knowledge, and language proficiency. - Registration:
Complete your registration by submitting the required documents, including a scanned copy of a valid ID, and paying the registration fee. - Induction:
An assessor will conduct an induction to confirm your eligibility for the course and explain the evidence requirements. If you do not meet the criteria, your registration will be canceled, and the fee will be refunded. - Assignments & Evidence Submission:
Provide all assignments and the necessary evidence based on the assessment criteria outlined in the course. If you are unsure of the required evidence, consult with the assessor for guidance on the type and nature of evidence needed. - Feedback and Revision:
The assessor will review your submitted evidence and provide feedback. Evidence that meets the criteria will be marked as “Criteria Met,” while any gaps will be identified. You will be asked to revise and resubmit if needed. - Competence Evidence:
Submit final evidence demonstrating that all learning outcomes have been met. This evidence will be marked as “Criteria Met” by the assessor once it is satisfactory. - Internal Quality Assurance (IQA):
The Internal Quality Assurance Verifier (IQA) will review your evidence to ensure consistency, quality, and compliance with standards. - External Verification:
The IQA will submit your portfolio to Qualifi’s External Quality Assurance Verifiers (EQA) for final confirmation. The EQA may contact you directly to verify the authenticity of your evidence. - Certification:
Upon successful completion of all checks, Qualifi will issue your official certificate, confirming that you have attained the Qualifi Level 4 Diploma in Artificial Intelligence.
