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Course Outline
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 chosen game, e.g., noughts and crosses)
Machine Learning (10.5h)
- Classification
- Clustering
- Neural Networks
- Exercises (developing AI for a chosen computer game)
Rules Engines and Expert Systems (7 hours)
- Introduction to Rule Engines
- Writing AI for the same game and combining solutions into a hybrid approach
Requirements
- No prerequisites are required. We will explain all concepts, including probability and statistics, during the course. If you already possess knowledge in these areas, we recommend our course code aiint.
Target Audience
- Beginners eager to learn about Artificial Intelligence, Machine Learning, and programming.
35 Hours
Testimonials (2)
the Labs
Frank Mhlongo - Standard Bank of South Africa
Course - JBoss
The training is very interesting and can be useful on our future projects and the trainer is always active on answering our questions and helping us when we are having issues on our end.
