Introduction to AI - Complete
Complete course on the foundations of artificial intelligence, its history and current applications.
Course duration: 5 hours
What you will learn
- Distinguish artificial intelligence, machine learning and deep learning without hesitation
- Place the turning points of the field's history to understand what really changed since 2012
- Recognize the problems that lend themselves to machine learning and those that gain nothing from it
- Assess an AI project by its feasibility, cost and risks
- Read performance metrics without falling for flattering numbers
Prerequisites
- No technical prerequisites
- Everyday computer literacy
Course modules
- What artificial intelligence really is
- From rule-based systems to learning from data
- Narrow AI, general AI: what research actually says
- How a machine learns: training, loss function, gradient
- Overfitting and underfitting, the two typical failures
- Supervised, unsupervised and reinforcement learning
- Evaluation metrics and how to read them honestly
- The life cycle of an AI project, from data to production
- Documented successes and famous failures
- The current limits of the technology and the paths forward
Assessment and certificate
The course ends with a 40-question exam covering all the modules. Upon success, a certificate of completion is issued; its number can be verified on the platform.
Free courses, by contrast, end with a 5-question quiz and a certificate preview, without certification.