Qualifi Level 4 Diploma in Artificial Intelligence - Online, Self-Paced

Qualification title: Qualifi Level 4 Diploma in Artificial Intelligence

Qualification type: Vocational Related Qualification (Higher Education)

Format: Online, Self-Paced.

Accreditation status: Accredited

Credit equivalency: 120

Qualification number: RQF 610/3934/2

Progression routes: QUALIFI Level 5 Diploma in Artificial Intelligence and/or Employment in an associated profession.

Availability: UK and international

Start dates: Anytime! Enrol today. Self-Paced with personal tutor support

Fee: £1,999 (two instalments possible by prior arrangement for self-funding learners)

Qualification Overview

Delivered by London AI's industry experts at the CSARN Global Cyber Academy. 

The aim of the QUALIFI Level 4 Diploma in Artificial Intelligence is to to equip students with understanding of AI concepts and applications at an entry level. The diploma covers a range of topics, including the history and principles of AI, machine learning, data science, deep learning, AI ethics, and practical AI applications. Students will gain hands-on experience with popular AI tools and develop programming skills in languages like Python.

The Diploma emphasises ethical considerations and responsible AI development. It typically includes project work to apply AI knowledge to real-world challenges and prepares students for careers in AI development, data science, machine learning engineering, or further academic pursuits in the field. Assessment methods include exams, assignments, and project evaluations to ensure an understanding of AI principles and their practical application.

Successful completion of the QUALIFI Level 4 Diploma in Artificial Intelligence provides learners with the opportunity to progress to further study or employment.

Units

·       Introduction to Artificial Intelligence and Applications

·       Mathematical Foundations for Machine Learning

·       Data Science Using Python

·       Big Data Management

·       Introduction to Deep Learning

·       Artificial Intelligence Ethics

Learning Outcomes

1.      Demonstrate a fundamental understanding of artificial intelligence concepts, theories, and principles.

2.      Apply machine learning algorithms and techniques to solve real-world problems.

3.      Analyze and process data for AI applications, including data cleaning, transformation, and feature engineering.

4.     Develop basic AI solutions using programming languages such as Python.

5.      Evaluate the ethical and legal considerations associated with AI technologies.

6.     Distinguish various impacts of AI on society, economy, and industry.

Entry Requirements

·       learners who possess qualifications at Level 3 and/or;

·       learners who have work experience in the governmental and non-governmental sector and demonstrate ambition with clear career goals.

Course Director: Richard Bingley

Industry cyber security expert and author of the 2024 best-selling information security book, ‘Combatting Cyber Terrorism. Founder of LondonAI.com and the CSARN Global Cyber Academy and contributor to the London Evening Standard Tech Podcast.