Qualification Overview

The qualifcation offers a robust and in-depth educational experience, providing students with a comprehensive understanding of the dynamic and rapidly evolving field of AI. This qualification is designed to equip learners with advanced theoretical knowledge and practical skills essential for success in artificial intelligence.

Throughout the program, students engage with a diverse range of AI topics, including but not limited to machine learning, natural language processing, computer vision, and neural networks. The curriculum is structured to thoroughly explore these key areas, ensuring that graduates possess a well-rounded and nuanced understanding of the various facets of artificial intelligence.

A significant emphasis is placed on hands-on experience, as students delve into AI programming languages and tools. This practical approach empowers them to develop and implement AI solutions, fostering a proficiency that is directly applicable to real-world scenarios. The program's commitment to practical application ensures that graduates are well-versed in theoretical concepts and capable of translating their knowledge into tangible, impactful AI solutions.

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Units

Learning Outcomes

• Gain a thorough understanding of key AI concepts.
• Develop practical skills in AI programming and implementation.
• Apply critical thinking to address complex AI challenges.
• Translate theoretical knowledge into real-world solutions.
• Demonstrate readiness for AI-related roles in various industries.
• Communicate AI concepts effectively.
• Apply ethical principles in AI development and deployment.

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Entry Requirements

• Learners who possess Qualifications at Level 2 and/or;
• Learners who have work experience in a business environment and demonstrate ambition with clear career goals;
• Learners who possess a level 3 qualification in another discipline and want to develop their careers in business management.