Artificial intelligence is increasingly being used across business, education, technology, automation and digital services.

This programme introduces the principles, technologies and applications of AI while maintaining a strong focus on practical use.

Learners can explore how AI systems work, how data supports intelligent systems and how AI technologies can be applied to solve practical problems.

Depending on programme level, learning may include machine learning, generative AI, natural language processing, computer vision, AI tools, automation and AI-assisted applications.

This programme can be suitable for:

• Beginners interested in artificial intelligence

• Computing and IT students

• Technology professionals

• Software developers

• Data-focused learners

• Career changers

• Business and technology professionals

• Educators and trainers

• Employers developing AI capability

• Organisations exploring practical AI applications

• Education and training providers

AI Fundamentals

Understand the fundamental concepts, terminology and applications of artificial intelligence.

Intelligent Systems

Explore how AI systems can process information, identify patterns and support decision-making.

Data & AI

Understand the role of data in developing and using AI systems.

Machine Learning

Explore how machine learning enables systems to learn from data and identify patterns.

Generative AI

Explore the capabilities and practical applications of generative AI technologies.

Natural Language Processing

Understand how AI can be used to process and work with human language.

Computer Vision

Explore how AI systems can process and interpret images and visual information.

AI Tools & Applications

Explore practical AI tools and their potential applications across technology and workplace environments.

AI & Automation

Understand how AI can be combined with automation to improve processes and workflows.

Responsible AI

Explore important considerations including accuracy, bias, privacy, security, transparency and responsible use.

Practical AI Projects

Apply AI concepts and tools to realistic technology and workplace scenarios.

Explore. Build. Test. Apply.

Tekelezan focuses on practical AI learning and real-world application.

Learners can work through:

• AI practical exercises

• AI tool exploration

• Data and AI activities

• Prompt and generative AI exercises

• Machine learning demonstrations

• AI-assisted development

• Automation workflows

• AI application scenarios

• Problem-solving activities

• Evaluation of AI outputs

• Responsible AI activities

• Practical AI projects

The aim is to develop practical AI capability while helping learners understand both the opportunities and limitations of AI technologies.

Training can be delivered through:

• Classroom-based learning

• Online learning

• Blended delivery

• Practical AI workshops

• Technical laboratories

• Guided exercises

• Project-based learning

• Intensive bootcamps

• Employer-focused training

• Bespoke organisational programmes

DURATION

To be confirmed

Programme duration will depend on the level, delivery format, technology focus and learning objectives.

ENTRY REQUIREMENTS

Programmes can be designed for different levels of experience.

Beginners

Introductory AI programmes may require no previous AI or programming experience.

Developing Learners

Basic computing knowledge can be useful.

Technical / Advanced

Programming, mathematics, data or computing knowledge may be recommended for more technical AI programmes.

Specific entry requirements will be confirmed for each programme.

EQUIPMENT & LEARNING RESOURCES

Learners may require:

• A suitable laptop or computer

• Internet access

• Access to appropriate AI tools and platforms

• Development or coding environments where applicable

• Data resources where required

• Learning materials

• Practical project resources

Specific requirements will depend on the programme level and technology pathway.

Artificial Intelligence provides a foundation for progression into a wide range of technology and data-related areas.

Potential progression pathways include:

• Machine Learning

• AI & Automation

• Python Programming

• Software Development

• Data Modelling & Data Management

• Cyber Security

• Data Analysis

• Further AI and computing study

A programme completion certificate may be provided where applicable.

Practical AI

Explore AI through practical activities rather than theory alone.

Real-World Application

Consider how AI can be applied to genuine technology and workplace scenarios.

Emerging Technologies

Explore areas including generative AI, machine learning and intelligent automation.

Responsible AI

Develop awareness of important issues surrounding the safe and responsible use of AI.

Technical Progression

Build a foundation for further study in AI, machine learning, programming and data.

Technology Integration

Understand how AI can work alongside software, data, automation and cybersecurity.

Flexible Delivery

Training can be adapted for individuals, employers and partner organisations.

Machine Learning
Explore how machine learning systems learn from data and identify patterns.

AI & Automation
Explore how AI can be combined with automation to improve processes and workflows.

Python Programming
Develop programming skills that support AI and machine learning development.

Software Development
Build wider software development and application development capability.

Cyber Security
Develop cybersecurity knowledge relevant to modern AI-enabled technology environments.