Artificial Intelligence (AI)
Programme Schedule
Programme topic
Artifi cial Intelligence (A.I.)
Programme start date
Date:
Programme duration
2 weeks
Programme venue
Hamilton House, King’s Cross, London
Programme prerequisites
There are no prerequisites for this training programme, but participants should have a good command of the English language and be atleast eighteen years of age
Faculty
LSET faculty will teach the programme. However, some guest lecturers, including eminent industry leaders, are asked to share their experiences.
Invitation letter
Once applications are approved and agreed fees are paid, visa support documents are issued to all participants. Students are asked to apply for a short-term student visa at their nearest British High Commission or consulate.
Requirements for short-term study visa
- A valid passport
- Letter of enrolment or any other admission confirmation letter issued by an accredited UK institution
- Confirmation of accommodation
- Proof of necessary funds held in the student’s or parent’s or sponsor’s account
- An affidavit of support from the parents or sponsors
- Student’s past academic progress and a letter of confirmation from the current institution
Student accommodation
LSET has ties with various accommodation providers. Subject to availability and requirements, accommodation units can be booked in advance. Some accommodation units are single and others are shared units with other participants.
Depending upon the accommodation type, there are provisions for self-catering, but in-room dining can be served to all participants for dinner at an additional cost. Complementary sandwiches and snacks are provided for lunch during the training session. Full details of all amenities are usually mentioned in the admission confirmation letter issued by LSET.
Academic Programme Schedule
MONDAY
(DATE)
A combination of academic sessions and workshops
TUESDAY
(DATE)
A combination of academic sessions and workshops
WEDNESDAY
(DATE)
A combination of academic sessions and workshops
THURSDAY
(DATE)
A combination of academic sessions and workshops
FRIDAY
(DATE)
A combination of academic sessions and workshops
SAT / SUNDAY
(DATE)
River Thames London cruise and a visit to the Bank of England, Canary Wharf and the House of Commons
MONDAY
(DATE)
A combination of academic sessions and workshops
TUESDAY
(DATE)
A combination of academic sessions and workshops
WEDNESDAY
(DATE)
A combination of academic sessions and workshops
THURSDAY
(DATE)
A combination of academic sessions and workshops
FRIDAY
(DATE)
Group photography and
other external activities, details to be confirmed
SATURDAY
(DATE)
Industry visits and London sight seeing, details to be confirmed
Programme Details
Programme Cost:
£2,000 (two-thousand pounds)
The fees are inclusive of the following:
- Airport pick up and drop off for group travelers
- 13 nights’ hotel accommodation
- Selected travel expenses in the UK for visits and sightseeing
- Business and social visits
Programme Overview
Artificial Intelligence (A.I.) will define the next generation of software solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.
The A.I. programme takes aspiring A.I. engineers from a basic introduction of A.I. to mastery of the skills needed to build deep-learning models for A.I. solutions that exhibit human-like behavior and intelligence.
Built with the focus of teaching students how to build deep-learning predictive models for A.I., the LSET Programme Certificate in Artificial Intelligence will help you develop the skills you need to build an intelligent future
Programme Curriculum
The Artificial Intelligence Training Programme features the modules listed below, which provide deep insight into specific topic areas and are taught around the principles and framework of entrepreneurial thought and action.
- Introduction to Artificial Intelligence (AI)
- Artificial intelligence fundamentals
- Essential mathematics for artificial intelligence
- Ethics and law in data and analytics
- Data science research methods
- Principles of machine learning
- Deep learning explained
- Reinforcement learning explained
- Computer vision and image analysis
- Speech recognition systems
- Natural language processing
- Human language technologies
- Intelligent systems for pattern recognition