Course Highlights
Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Foundations of Artificial Intelligence course has been specially designed to help learners gain a good command of Foundations of Artificial Intelligence, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Foundations of Artificial Intelligence course, you will gain both practical and theoretical understanding ofFoundations of Artificial Intelligence that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Learning outcome
- Familiar yourself with the recent development and updates of the relevant industry
- Know how to use your theoretical knowledge to adapt in any working environment
- Get help from our expert tutors anytime you need
- Access to course contents that are designed and prepared by industry professionals
- Study at your convenient time and from wherever you want
Course media
Why should I take this course?
- Affordable premium-quality E-learning content, you can learn at your own pace.
- You will receive a completion certificate upon completing the course.
- Internationally recognized Accredited Qualification will boost up your resume.
- You will learn the researched and proven approach adopted by successful people to transform their careers.
- You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
- No formal qualifications required, anyone from any academic background can take this course.
- Access to a computer or digital device with internet connectivity.
Course Curriculum
Course Curriculum
| Unit 01: Introduction to Artificial Intelligence | |||
| Module 01: Introduction to Artificial Intelligence | 00:21:00 | ||
| Unit 02: Mathematics for AI | |||
| Module 02: Mathematics for AI | 00:17:00 | ||
| Unit 03: Knowledge Representation in AI – Part 1 | |||
| Module 03: Knowledge Representation in AI – Part 1 | 00:18:00 | ||
| Unit 04: Knowledge Representation in AI - Part 2 | |||
| Module 04: Knowledge Representation in AI – Part 2 | 00:16:00 | ||
| Unit 05: Machine Learning - Part 1 | |||
| Module 05: Machine Learning – Part 1 | 00:16:00 | ||
| Unit 06: Machine Learning - Part 2 | |||
| Module 06: Machine Learning – Part 2 | 00:15:00 | ||
| Unit 07: Deep Learning | |||
| Module 07: Deep Learning | 00:16:00 | ||
| Unit 08: Natural Language Processing | |||
| Module 08: Natural Language Processing | 00:22:00 | ||
| Unit 09: Computer Vision | |||
| Module 09: Computer Vision | 00:14:00 | ||
| Unit 10: Robotics | |||
| Module 10: Robotics | 00:18:00 | ||
| Unit 11: Building AI Applications | |||
| Module 11: Building AI Applications | 00:24:00 | ||
Don't just take our word for it
1 Year Access 
3 Students 
3 hours, 17 minutes