Available courses

Introduction to Python

This course covers more topics than most other beginner Python courses.

The course will start with basic programming structures, as, data types, operators, expressions, decision structures and loops. Additionally it will also cover some data structures that are commonly used, such as, Tuples, Arrays, Lists and Dictionaries.

With many solved examples and home work projects you should be able to write real world useful programs in python and also be ready to take next level courses in your domain that require python as the programming language.


Quick Python

Quick Referecne to Python Basics

Python for AI

Python for AI focuses on the various Data Structures ubiquitous to Python programming in Machine Learning and AI.

Examples of use of these data structures in LLM APIs.


Exploratory Data Analysis

Data is the backbone of machine learning and artificial intelligence, therefore making sure data is accurate and free of erros is vitaly important for modelling.

Understanding and preparing data for machine learning:

Applying Descriptive Statistics and Visualisation will provdie a deeper, better understanding of data.

Data pre-processing, such as, data cleaning, realtionships between features or variables will help prapare data for modelling.

Review of Machine Learning and Artificial Intelligence for non-programmers

This course does not require any programming or Math knowledge

Introduction to ML and AI technologies

Skill sets required to aquire these technologies

Students and managers get an understanding of the technologies and how they apply to their jobs or careers

The 2 hour course will give the attendees an idea of what skill level they have and at what level they want to enter this field, helping them decide next course of action