From Zero to AI

• None. All concepts like probability and statistics will be explained during this course. If you are already familiar with probability and statistics, please refer to our course code aiint.

Audience

• Beginners interested in learning Artificial Intelligence, Machine Learning, and programming

This course provides a comprehensive introduction to the foundational concepts required to build a strong understanding of Artificial Intelligence.

This instructor-led, live training (online or onsite) is aimed at beginner-level participants who wish to learn essential concepts in probability, statistics, programming, and machine learning, and apply these to AI development.

By the end of this training, participants will be able to:

• Understand basic concepts in probability and statistics, and apply them to real-world scenarios.
• Write and understand procedural, functional, and object-oriented programming code.
• Implement machine learning techniques such as classification, clustering, and neural networks.
• Develop AI solutions using rules engines and expert systems for problem-solving.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Probability (3.5h)

• Definition of probability
• Binomial distribution
• Everyday usage exercises

Statistics (10.5h)

• Descriptive Statistics
• Inferential Statistics
• Regression
• Logistic Regression
• Exercises

Introduction to Programming (3.5h)

• Procedural Programming
• Functional Programming
• OOP Programming
• Exercises (writing logic for a game of choice, e.g. noughts and crosses)

Machine Learning (10.5h)

• Classification
• Clustering
• Neural Networks
• Exercises (write AI for a computer game of choice)

Rules Engines and Expert Systems (7 hours)

• Intro to Rule Engines
• Write AI for the same game and combine solutions into hybrid approach