This Artificial Intelligence (AI) course will give you a state-of-the-art
understanding of AI and develop the highly practical skills and expertise
required to develop the construction of AI systems, including those that
integrate multiple modalities. This course will give you the creativity to
develop AI solutions to real-world problems, as well as softer employability
skills such as being able to communicate complex, technical information to
non-technical stakeholders. *Key Features* The AI course will equip you with the skills to solve real-world problems
whilst also offering you the chance to gain valuable industry experience which,
in an ever-increasingly competitive graduate job market, will set you apart from
the rest. Throughout the course, you will have access to modern technology and
software, as well as expert guidance from experienced industry professionals.
You will also work on practical projects that demonstrate your understanding of
AI concepts and showcase your ability to develop innovative solutions. Upon successful completion of the course, you will be awarded the Pearson
BTEC Level 4 Higher National Certificate in Digital Technologies (Artificial
Intelligence (AI) Solutions and Applications), which is recognised by employers
and academic institutions worldwide.
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Artificial Intelligence Solutions and Applications Higher National Certificate* (HTQ)
Level 4 - Higher
Artificial Intelligence Solutions and Applications Higher National Certificate* (HTQ)
Artificial Intelligence course will equip you with extensive exposure to all
aspects of AI, including machine learning, deep learning, and reinforcement
learning. This Artificial Intelligence (AI) course will give you a state-of-the-art
understanding of AI and develop the highly practical skills and expertise
required to develop the construction of AI systems, including those that
integrate multiple modalities. This course will give you the creativity to
develop AI solutions to real-world problems, as well as softer employability
skills such as being able to communicate complex, technical information to
non-technical stakeholders. The AI course will equip you with the skills to solve real-world problems
whilst also offering you the chance to gain valuable industry experience which,
in an ever-increasingly competitive graduate job market, will set you apart from
the rest. Upon successful completion of the course, you will be awarded the Pearson
BTEC Level 4 Higher National Certificate in Digital Technologies (Artificial
Intelligence (AI) Solutions and Applications), which is recognised by employers
and academic institutions worldwide. You will study a range of compulsory modules which will enable you to gain a
solid understanding in the fields of computer science and Artificial
Intelligence. You will gain an understanding of the field of computer science whilst
providing you with the opportunity to develop a strong theoretical grounding in
Artificial Intelligence. Annual and modular tuition fees shown are applicable to the first year(HNC)of
study. The College reserves the right to increase fees for subsequent years of
study (HND) in line with increases in inflation (capped at 3%) or to reflect
changes in Government funding policies or changes agreed by
Parliament.
Course Length: 30 Weeks
Entry requirements for Artificial Intelligence Solutions and Applications is 32 UCAS Tariff points.
Acceptable qualifications include a minimum of one A Level or an equivalent Level 3 qualification, preferably gained in a digital IT related industry.
Minimum of four GCSE’s at grade C/4 or above
Mature applicants with other qualifications or non-formal qualifications are welcome to apply. If you are over 21 years of age, you will be assessed on an individual basis and may be asked to complete a short task to demonstrate the required level of knowledge to meet the demands of the course.
If you have any questions about entry requirements, please contact the Higher Education department on he@bmet.ac.uk
Further information about the UCAS Tariff can be obtained from www.ucas.com
UCAS Code:AI01
Assessment methods include written examinations, coursework assignments, class tests and presentations. Coursework assignments involve undertaking elements of independent study and implementing associated practical tasks within a given deadline.
Upon completion of the Artificial Intelligence Solutions and Applications course, you can choose a career as:
– Data analyst – AI developer – Machine learning engineer – AI (Software) Engineer – AI Researcher – Machine Learning Engineer – Business Intelligence Developer – Data Engineer – AI solution architect. – Computational Statistician
These roles are in high demand across various industries, including healthcare, finance, cybersecurity and more.
Content:Unit 1: Professional Practice in the Digital EconomyUnit 2: Innovation & Digital TransformationUnit 3: Cyber SecurityUnit 4: ProgrammingUnit 5: Big Data & VisualisationUnit 7: Cloud FundamentalsUnit 11: Software Development LifecyclesUnit 15: Fundamentals of Artificial Intelligence (AI) & Intelligent Systems