Course Outline
Day 1: Introduction to Artificial Intelligence
This module aims to introduce the various terminologies used in the field of AI, the history of AI, and some basic concepts and a brief introduction to the important branches of AI including machine learning, computer vision, and natural language processing (NLP).
Day 2: Data Analysis and Machine Learning
This module aims to explain how an AI workflow should look like and the various forms of machine learning, as well as exploring how natural language processing (NLP) can improve human communication through some of its well-known use cases.
Day 3: Applications of AI and Its Contributions to Society
Be it robotics, healthcare, education, or business, artificial intelligence is transforming these industries one at a time, forming innovative solutions to age-old problems. This module aims at telling how far they’ve gotten with AI and uncover how AI benefits society in improving day-to-day activities.
What Will You Be Tested On?
- Introduction to Artificial Intelligence
- Employing Machine Learning in AI
- Developing AI Projects
- Applications of AI in Industries
- Contributions of AI to the Society
Format
30 multiple choice questions to be completed in 45 minutes.
Grading
As for the grading of this examination, a total minimum score of 60% is required in order to pass the exam.
Certificate
Learners who successfully passed the examination will be awarded a Certificate of Competence in AI For Everyone.
It’s a signed, digital certificate with a unique, persistent URL. This will serve as proof of your certification and can be displayed on your LinkedIn profile, promoted on your resume, or linked to it from anywhere on the web.