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Introduction to Artificial Intelligence
Ref. IIA
Participants will learn about key AI algorithms and techniques, as well as their practical applications. This course is ideal for those looking to understand the fundamental principles of AI.
- Duration: 3 hours
- Effort: 3 hours
- Pace: Self paced
- Languages: English and portuguese
- 7,947 already enrolled!
What you will learn
- 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.
Description
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.
Assessment and certification
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.
At the end of the course, there will be a Final Evaluation Test, worth 50% of the final grade.
Course plan
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
- 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
Organizations
License
License for the course content
Attribution-NonCommercial-NoDerivatives
You are free to:
- Share — copy and redistribute the material in any medium or format
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.