Backend developers and artificial intelligence (AI) for software developers

JavaScript Basics (approx. 7 days)

Introduction to

ECMA script versions

Integration into HTML pages

Language elements: variables, constants, typing

Primitive data types: Number, String, Boolean

Collection data types: Arrays, objects, arithmetic operators

Control structures: Conditional statements, loops, functions

Blockscope

Local storage: Webstorage, IndexedDB

Error handling

Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment

DOM manipulation with JavaScript (approx. 4 days)

basics

Selecting HTML

Content and attributes

styling

Events, event object, bubbling

Observer

- Intersection observer

- Mutation observer

Create, copy, move, delete DOM elements

AJAX (approx. 1 day)

Introduction to

Functionality

Prerequisites

HTTP requests

XMLHttpRequest object

Web services

- JSON

- XML/XML response

Frameworks/Libraries (approx. 2 days)

Create your own library

jQuery

Project work (approx. 6 days)

To consolidate the content learned

Presentation of the project results

JavaScript deepening (approx. 7 days)

Canvas, drawing, animating

Array methods, copy by reference

Spread syntax, destructuring

Creating objects with constructors, classes, factories

Getters and setters, static methods

Fields, private fields, alternatives

Inheritance of classes

Prototyping

Map and set data types

Promise, concatenation, async-await syntax

ES6 import

Webworker

NodeJS (approx. 4 days)

Structure and installation

Built-in modules, custom modules, NPM

Upload to NPM

File type MD

Create web server (Express)

Own middleware

Fetch syntax for AJAX requests

Upload files to server

Real-time communication with websockets

Communication with database (noSQL)

Single Page Application (approx. 3 days)

ReactJS:

- Introduction, theoretical consideration, installation

- Virtual DOM

- Expressions, state hook, effect hook

- Components, nesting, parameter passing

- User input, content update, event listener

- Routing

VueJS:

- Introduction, theoretical consideration

- Virtual DOM

- Integration, expressions, directives

- Event listeners, data binding, methods

- Custom directives

- Components, nesting

- Routing

Web components:

- Advantages and disadvantages

- Custom Elements, Shadow DOM

- Integration of HTML templates and CSS files

- Transfer of parameters, slots, attributes

- Creating and calling custom events

Project work (approx. 6 days)

To consolidate the content learned

Presentation of the project results

Basics (approx. 5 days)

Setting up a development environment

Basics of syntax

Types, variables, constants (especially arrays and strings)

Expressions, operators, control structures, functions

Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment

Web context (approx. 3 days)

GET and POST requests

Cookies and sessions

Forms and validation (e.g. contact form)

Output of dynamic content (e.g. outputting the result of a calculation task)

Interaction and risk (approx. 2 days)

Error messages, logging and debugging

Security aspects (sanitization, code injection)

Databases (approx. 4 days)

Basics of SQL databases

PHP and MySQL (connection setup, simple database operations)

Input and output of database content on a website

PHP Frameworks (approx. 1 day)

What is a PHP framework?

Advantages of a PHP framework

Current PHP frameworks (Laravel, Symfony, Codelgniter, etc.)

Project preparation (approx. 1 day)

Planning and structuring PHP projects

Project work (approx. 4 days)

To consolidate the content learned

Presentation of the project results

Object-oriented programming (approx. 5 days)

Basics of object-oriented programming

Classes, objects, methods and properties

Constructor/Destructor, magic methods

Debugging objects

Complex object structures (nesting)

Inheritance, polymorphism, abstract classes, abstract methods

interfaces

Mapping object structures in relational databases, creating objects from relational data structures

Static methods

Automation, traits

Exception handling

ClassLoader

Use of a modern framework (approx. 5 days)

Introduction to the PHP framework Laravel

Setting up a Laravel project

Application routes with parameters and requirements

Use of controllers

Use of output templates

Database queries (CRUD operations with Doctrine ORM)

Create a sample website (approx. 5 days)

Planning and implementing an internet application

Project work, certification preparation and certification exam "Certified PHP Developer" (approx. 5 days)

Basics of database systems and SQL (approx. 3 days)

Overview of database systems and models

Redundant data and data integrity

Normalization and BCNF

Database design and entity relationship model (ERM)

Primary and foreign keys

Relationships between relations

Data types in SQL

Indexes and performance

Constraints and validation

Queries (SQL)

Forms and reports in modern DBMS

Circular reference and dependency management

Introduction to SQL Server Management Studio (SSMS) (approx. 2 days)

Overview of SQL Server and SSMS

Physical database design

Creating tables and defining data types

Constraints, default values and relationships

Database diagrams and relationships

Backup and restore

Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment

Introduction to DDL (Data Definition Language) (approx. 8 days)

SQL basics and advanced syntax

Creating tables and defining constraints

Operators and function definitions

Queries and manipulation of data

Error handling and transaction management

DCL - Data Control Language and Security (approx. 1 day)

User administration and authorizations

Roles, authorizations and auditing

Data types, data import and export in modern systems (approx. 1 day)

Data import and export

Modern data types

Project work (approx. 5 days)

To consolidate the content learned

Presentation of the project results

Basics of Artificial Intelligence (AI/AI) (approx. 0.5 days)

What is artificial intelligence?

Definition and history of AI

Difference between weak and strong AI

Overview of AI-based applications

DIN/TS 92004:2024

Introduction to Machine Learning (ML) (approx. 0.5 days)

Definition and basic concepts

Supervised vs. unsupervised learning

Examples of ML applications

Data pre-processing and visualization (approx. 1 day)

Data preparation (sources, cleansing and transformation)

Meaning and techniques of feature engineering

Scaling and normalization

Categorical and numerical features

Importance of data visualization

Creating diagrams and plots

Supervised learning (approx. 1 day)

Linear and multiple regression models

Evaluation of regression models

Classification models

Model evaluation and optimization

Unsupervised learning and deep learning (approx. 1 day)

Clustering methods

Dimension reduction

Basic concepts/architectures of deep learning

Neural networks and how they work

Overview of deep learning frameworks

Project work (approx. 1 day)

To consolidate the content learned

Presentation of the project results