Artificial Intelligence Course

Block 1: Introduction and basic features
Python, the new unknownData typesFlow controlFunctions
Block 2: Object-oriented programming (OOP)
Object based methodologyClasses, objects, attributes and methodsPractising with classes and objectsInheritance
Block 3: OOP and applied methodsOther toolsApplied methodsErrors and exceptionsTemporary data
Block 4: data handlingExcel – CSVJSONDatabase (DB)Specialised data libraries

Projects: putting into practiceWork experience 1Work experience 2Final project
Python training programme
Module 1. Introduction to Artificial Intelligence
Introduction to Artificial IntelligenceAI and problem solvingUninformed searchInformed searchAI and gamingReasoningLearning

Module 2. Data science
Introduction to date scienceThe process of data scienceData miningIntroductions to the main libraries
Module 3. Kaggle platform
What is it?Some of their projectsProject 1Project 2

Final projectA client, an IT supply company, has asked the company we work for to develop a web application to help them manage their products and suppliers. Therefore, we must implement an application that serves as a database, but also as a management tool. Once this has been done, we will adapt it to certain requirements that will arise in order to include Artificial Intelligence in the system and thus be able to improve it.