Share Description
In this course, you will learn :
- artificial intelligence
- machine learning
- natural language processing
- computer vision
- face recognition
- data science
- recommender systems
Syllabus :
1. The history of Artificial Intelligence
- History of AI: The first failures
- The Machine Learning era: introduction to Machine Learning
2. AI for images and media
- Build your own Computer Vision application with Google Teachable Machine
- Computer vision applications: today and tomorrow
- Computer vision in everyday life: Apple Face ID
3. AI for natural language
- Teaching computers to speak
- The frontiers of AI and language: text generation
- AI and language in everyday life: Gmail, Siri, Alexa and the Google home
4. Recommender Systems
- From data to recommendations
- Recommender systems in everyday life: Netflix and Instagram
5. What lies ahead
- AI risks: job loss, filter bubbles, unfair AI
- AI opportunities: democratisation of technology, happiness
- AI at work: how does an AI project look like?
- Goodbye and how to start a career in AI
