Introduction to Artificial Intelligence

• Recognising AI’s basic concepts and history.
• Identifying the principles and techniques of AI learning.
• Describing natural language processing techniques.
• Discussing the ethical implications and the future of AI.

Part 1 | Introduction to Artificial Intelligence
– Module 1: What is Artificial Intelligence?
– Module 2: Examples of AI in everyday life

Part 2 | AI Learning
– Module 3: How does AI learning work?
– Module 4: Types of learning in AI
– Module 5: Introduction to Artificial Neural Networks and Deep Learning
– Module 6: Practical examples

Part 3 | Natural Language Processing (NLP)
– Module 7: What is Natural Language Processing (NLP)?
– Module 8: Practical applications of NLP (examples)

Part 4 | Ethics and AI
– Module 9: Why is ethics important in AI? & Key ethical issues
– Module 10: Reflections about the future

This course provides an overview of the fundamental concepts and applications of artificial intelligence (AI). Participants will learn about key algorithms and techniques in AI, along with their practical applications across various sectors. This course is ideal for those looking to understand the fundamental principles of AI and how it is shaping the world.

<p>At the end of each module, in order to assess your progress, there will be a mandatory learning assessment, which will be worth 50% of the final grade.<br />
At the end of the course, there will be a Final Evaluation Test, worth 50% of the final grade.</p>