Introduction to Conversational and Generative AI
London , United Kingdom
Tuition Fee
GBP 595
Per year
Start Date
Medium of studying
On campus
Duration
2 months
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 595
About Program
Program Overview
This program provides a comprehensive introduction to Conversational and Generative AI, covering topics from speech-to-text to natural language generation. Through hands-on exercises and expert instruction, students gain a deep understanding of AI theory and its practical applications in fields such as business development, product management, and software engineering. The program also explores the ethical considerations and future developments in this rapidly evolving field.
Program Outline
Outline:
- Introduction to AI
- Speech-to-text
- Natural Language Processing (NLP)
- Sentiment Analysis
- Natural Language features
- Intent Recognition
- Natural Language Generation (NLG)
- Chat bots
- Large Language Models
- Conversational AI ethics
Assessment:
- The course features hands-on learning through a sequence of lectures and tutorials.
- Practical exercises will be assigned for students to work on outside of class time.
Teaching:
- The course will be taught in-person, taking place every Tuesday (6pm-8pm) at Northampton Square in Central London.
- The teaching method will be interactive and involve both theoretical and practical components.
- The faculty involved are experts in the field of Artificial Intelligence and have experience in developing NLP models and Chatbots.
Careers:
- Graduates of the course will gain a strong understanding of both the theory and application of Conversational and Generative AI. This knowledge will equip them for careers in a variety of fields, including:
- Business development
- Product management
- Software engineering
- Data science
Other:
- The course requires an understanding of Python at the level of the university's "Introduction to Programming with Python" course.
- Some understanding of Machine Learning concepts would be beneficial but is not essential.
- The course will cover both the history of Conversational AI and the ethical considerations involved with this rapidly developing technology.
- The curriculum will also include exploration and development of Large Language Models and their capabilities.
- Graduates will gain the confidence necessary to make informed technology decisions for their businesses in the field of AI, and be prepared to independently pursue technical development with AI models and products.
Note:
Information on the Degree Overview, Fees, Admission Requirements and the Application Process could not be found in the provided context.
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Admission Requirements
Entry Requirements:
EU Home students:
- At least a second-class honours degree in a relevant subject (e.g., computer science, mathematics, statistics, engineering) or equivalent work experience.
- Demonstrated programming skills, such as proficiency in Python.
- A strong understanding of basic mathematics, including calculus, linear algebra, and probability theory.
- English language proficiency: IELTS score of 6.5 overall, with no less than 6.0 in any component.
International overseas students outside the EU:
- At least a second-class honours degree in a relevant subject (e.g., computer science, mathematics, statistics, engineering) or equivalent work experience.
- Demonstrated programming skills, such as proficiency in Python.
- A strong understanding of basic mathematics, including calculus, linear algebra, and probability theory.
- English language proficiency: IELTS score of 7.0 overall, with no less than 6.5 in any component.
Language Proficiency Requirements:
- Students whose first language is not English must demonstrate English language proficiency by achieving a minimum score on an approved English language test.
- Accepted tests and minimum scores:
- IELTS: 6.5 overall with no less than 6.0 in any component (EU students) or 7.0 overall with no less than 6.5 in any component (international students).
- TOEFL: 90 overall with a minimum of 20 in each section.
- PTE Academic: 62 overall with no less than 55 in any section.
Additional Information:
- Applicants with a lower second-class honours degree or equivalent work experience may be considered based on their performance in relevant postgraduate modules.
- Applications are assessed on a case-by-case basis, and all applicants are encouraged to provide a personal statement detailing their reasons for applying to this program and their relevant skills and experience.
Note:
Information about Entry Requirements and Language Proficiency Requirements was extracted from the provided context. If any additional information is needed or if the information is unclear, please do not hesitate to ask.
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