Greetings and welcome to the exciting Foundations of Artificial Intelligence course. Discover AI’s brilliance as you set out on an engaging educational journey. This course is made to break down complicated ideas into manageable chunks, ensuring an engaging and fruitful learning experience.
Build a solid foundation for your exploration by delving into the core of AI through an interesting introduction. Continually advance to mathematics for artificial intelligence, learning the mathematical basis of artificial intelligence. Through carefully crafted modules, learn the art of knowledge representation, a fundamental ability in the building of AI.
Unravel the mysteries of clever algorithms by exploring the world of machine learning and deep learning. Explore the fields of computer vision and natural language processing to help AI better understand and interpret the world.
How is this qualification is delivered?
Our courses are taught entirely online, meaning you can access the materials wherever, whenever, at a pace that suits you, without formal deadlines or teaching schedules.
These can be accessed through any device with an internet connection. Our e-learning platform is optimised for use on mobile, tablet, laptops and desktop computers.
Certification:
Enhance your profile with a CPD-accredited certificate, available for an additional cost after course completion.
Requirements
There are no academic entry requirements for this course, and it is open to students of all academic backgrounds.
Course Curriculum
Module 01: Introduction to Artificial Intelligence | |||
Introduction to Artificial Intelligence | 00:21:00 | ||
Module 02: Mathematics for AI | |||
Mathematics for AI | 00:17:00 | ||
Module 03: Knowledge Representation in AI – Part 1 | |||
Knowledge Representation in AI – Part 1 | 00:18:00 | ||
Module 04: Knowledge Representation in AI – Part 2 | |||
Knowledge Representation in AI – Part 2 | 00:16:00 | ||
Module 05: Machine Learning – Part 1 | |||
Machine Learning – Part 1 | 00:16:00 | ||
Module 06: Machine Learning – Part 2 | |||
Machine Learning – Part 2 | 00:15:00 | ||
Module 07: Deep Learning | |||
Deep Learning | 00:16:00 | ||
Module 08: Natural Language Processing | |||
Natural Language Processing | 00:22:00 | ||
Module 09: Computer Vision | |||
Computer Vision | 00:14:00 | ||
Module 10: Robotics | |||
Robotics | 00:18:00 | ||
Module 11: Building AI Applications | |||
Building AI Applications | 00:24:00 |
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