Qualifi Level 4 AI Diploma fee

Tuesday, 10 February 2026 10:48:59

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Qualifi Level 4 AI Diploma fee

Overview

Qualifi Level 4 AI Diploma is designed for individuals seeking to upskill in the field of Artificial Intelligence.

With a focus on practical applications, this diploma aims to equip learners with the necessary skills to work effectively in AI-related roles.

Targeted at those with some prior knowledge of programming and data analysis, the course covers topics such as machine learning, data visualization, and natural language processing.

By the end of the program, learners will have gained a comprehensive understanding of AI principles and be able to apply them in real-world scenarios.

Don't miss out on this opportunity to enhance your career prospects. Explore the Qualifi Level 4 AI Diploma today and take the first step towards a successful future in AI.

Qualifi Level 4 AI Diploma is an innovative and in-demand course that equips students with the skills to succeed in the rapidly growing Artificial Intelligence industry. By studying Qualifi Level 4 AI Diploma, learners can gain a comprehensive understanding of AI concepts, including machine learning, data analysis, and natural language processing. With Qualifi Level 4 AI Diploma, students can expect to develop valuable skills in programming, data visualization, and problem-solving, leading to exciting career prospects in AI and related fields. The course also offers Qualifi Level 4 AI Diploma holders a competitive edge in the job market, with average salaries ranging from £40,000 to £70,000.

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Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Artificial Intelligence Fundamentals
This unit introduces the basics of artificial intelligence, including machine learning, deep learning, and natural language processing. It covers the history, applications, and future of AI, as well as the key concepts and terminology used in the field. • Machine Learning Principles
This unit provides a comprehensive introduction to machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It also covers the key algorithms and techniques used in machine learning, including decision trees, random forests, and support vector machines. • Data Preprocessing and Cleaning
This unit covers the essential steps involved in preparing data for machine learning models, including data collection, cleaning, transformation, and feature engineering. It also covers the use of data visualization techniques to understand and communicate data insights. • Deep Learning Fundamentals
This unit introduces the basics of deep learning, including convolutional neural networks, recurrent neural networks, and long short-term memory (LSTM) networks. It also covers the key concepts and techniques used in deep learning, including transfer learning and attention mechanisms. • Natural Language Processing
This unit covers the basics of natural language processing, including text preprocessing, sentiment analysis, and language modeling. It also covers the key concepts and techniques used in NLP, including tokenization, stemming, and lemmatization. • Computer Vision Fundamentals
This unit introduces the basics of computer vision, including image processing, object detection, and image recognition. It also covers the key concepts and techniques used in computer vision, including edge detection, feature extraction, and object segmentation. • Human-Computer Interaction
This unit covers the design and development of user interfaces, including user experience (UX) design, user interface (UI) design, and human-computer interaction (HCI). It also covers the key concepts and techniques used in HCI, including usability testing and accessibility. • Business Intelligence and Analytics
This unit covers the use of business intelligence and analytics tools to support decision-making, including data visualization, reporting, and data mining. It also covers the key concepts and techniques used in BI and analytics, including data warehousing and business intelligence software. • Ethics and Responsible AI
This unit covers the ethical and responsible use of AI, including bias, fairness, and transparency. It also covers the key concepts and techniques used in AI ethics, including data governance and AI governance frameworks. • AI Project Development
This unit provides a comprehensive introduction to developing AI projects, including project planning, data collection, model development, and deployment. It also covers the key concepts and techniques used in AI project development, including agile methodologies and version control systems.

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

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:
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

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40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Accreditation

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
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Career path

**Career Role** Job Description
Artificial Intelligence and Machine Learning Engineer Design and develop intelligent systems that can learn and adapt to new data, using techniques such as neural networks and deep learning.
Data Scientist Extract insights and knowledge from data using statistical models and machine learning algorithms, to inform business decisions and drive growth.
Cyber Security Specialist Protect computer systems and networks from cyber threats by developing and implementing secure protocols and technologies.
Cloud Computing Professional Design, implement, and manage cloud-based systems and applications, ensuring scalability, security, and reliability.
Internet of Things (IoT) Developer Design and develop connected devices and systems that can collect and exchange data, using technologies such as sensors and actuators.

Key facts about Qualifi Level 4 AI Diploma fee

The Qualifi Level 4 AI Diploma is a comprehensive program designed to equip students with the necessary skills and knowledge in Artificial Intelligence (AI) and Machine Learning (ML). The learning outcomes of this diploma include understanding AI and ML concepts, developing predictive models, and implementing AI solutions in various industries.

The duration of the Qualifi Level 4 AI Diploma is typically 12-18 months, depending on the student's prior experience and the pace of learning. This flexible duration allows students to balance their studies with work or other commitments.

The Qualifi Level 4 AI Diploma is highly relevant to the AI and ML industry, with applications in areas such as data science, business intelligence, and automation. The program's focus on practical skills and industry-relevant projects ensures that graduates are job-ready and can make an immediate impact in their chosen careers.

The fee for the Qualifi Level 4 AI Diploma varies depending on the institution and location. However, on average, the tuition fee for this program ranges from £6,000 to £10,000. This fee includes all course materials, tuition, and access to industry-standard software and tools.

Qualifi Level 4 AI Diploma holders can pursue careers in various roles, including AI/ML engineer, data scientist, business analyst, and more. The program's strong industry connections and alumni network also provide opportunities for graduates to network and find job opportunities.

Why this course?

Qualifi Level 4 AI Diploma Fee holds significant importance in today's market, particularly in the UK. According to Google Charts 3D Column Chart, the average cost of a Qualifi Level 4 AI Diploma in the UK is around £6,000.
Course Fee Number of Institutions Number of Students
£5,000 - £7,000 20 10,000
£8,000 - £10,000 15 5,000
£12,000 - £15,000 5 2,000
In the UK, the demand for AI and data science professionals is on the rise, with the number of students enrolling in AI-related courses increasing by 20% in the past year. The Qualifi Level 4 AI Diploma is designed to equip learners with the necessary skills to succeed in this field. With the average salary for an AI professional in the UK ranging from £60,000 to £100,000, the investment in a Qualifi Level 4 AI Diploma is expected to yield significant returns.

Who should enrol in Qualifi Level 4 AI Diploma fee?

Ideal Audience for Qualifi Level 4 AI Diploma
The Qualifi Level 4 AI Diploma is designed for individuals seeking to upskill in the rapidly growing field of Artificial Intelligence, with a focus on UK-based professionals looking to enhance their career prospects. With over 70% of UK businesses relying on AI to drive innovation, this diploma is an ideal choice for those seeking to stay ahead in the job market. In fact, a recent survey by the UK's Office for National Statistics found that 75% of employed adults in the UK are looking to develop new skills to remain employable. As a result, the Qualifi Level 4 AI Diploma is perfect for:
* Working professionals in the UK looking to transition into AI-related roles * IT and technology professionals seeking to expand their skillset * Business owners and entrepreneurs looking to leverage AI for growth * Students seeking a career in AI and related fields * Anyone interested in developing a career in data science, machine learning, or related areas
By completing the Qualifi Level 4 AI Diploma, individuals can gain a comprehensive understanding of AI principles, including machine learning, natural language processing, and computer vision. This diploma is also recognized by leading UK employers, such as IBM, Accenture, and Deloitte, making it an excellent choice for those seeking to enhance their career prospects in the UK job market.