Artificial intelligence engineer apply methods of artificial intelligence in engineering, robotics and computer science to design programs which simulate intelligence including thinking models, cognitive and knowledge-based systems, problem solving, and decision making. They also integrate structured knowledge into computer systems (ontologies, knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods.
No competences in this bucket.
No competences in this bucket.
No competences in this bucket.
No competences in this bucket.
The tools, methods and notations such as Business Process Model and Notation (BPMN) and Business Process Execution Language (BPEL), used to describe and analyse the characteristics of a business process and model its further development.
The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.
The techniques and existing systems used for structuring data elements and showing relationships between them, as well as methods for interpreting the data structures and relationships.
The methods through which information is generated, structured, stored, maintained, linked, exchanged and used.
The process of classifying the information into categories and showing relationships between the data for some clearly defined purposes.
The techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources.
The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.
The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Python.
The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).
The information that is not arranged in a pre-defined manner or does not have a pre-defined data model and is difficult to understand and find patterns in without using techniques such as data mining.
The visual representation and interaction techniques, such as histograms, scatter plots, surface plots, tree maps and parallel coordinate plots, that can be used to present abstract numerical and non-numerical data, in order to reinforce the human understanding of this information.
The self-contained step-by-step sets of operations that carry out calculations, data processing and automated reasoning, usually to solve problems.
A network of artificial neurons composed for solving artificial intelligence problems. These computing systems are inspired by the biological neural networks that constitute brains. Understanding of its general model and its elements. Knowledge of its use possibilities for automation.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) and of programming languages.
A programme run on a computer that represents dynamic responses of a system to explore a mathematical model behaviour, using a model of a real system, composed of mathematical equations.
The field of study that deals with big amount of data using AI techniques such as machine learning algorithms to predict patterns and obtain useful information to make business decisions
The sequence of steps, such as planning, creating, testing and deploying and the models for the development and life-cycle management of a system.
The techniques to convert unstructured descriptions of a process into step-by-step sequence of actions of a finite number of steps.
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Implement principles of ICT systems theory in order to explain and document system characteristics that can be applied universally to other systems
Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.
Study clients' needs and expectations for a product or service in order to identify and resolve inconsistencies and possible disagreements of involved stakeholders.
Generate a collection of new or existing related data sets that are made up out of separate elements but can be manipulated as one unit.
Use digital tools and technologies to create knowledge and to innovate processes and products. Engage individually and collectively in cognitive processing to understand and resolve conceptual problems and problem situations in digital environments.
Specify technical properties of goods, materials, methods, processes, services, systems, software and functionalities by identifying and responding to the particular needs that are to be satisfied according to customer requirements.
Create visual representations of data such as charts or diagrams for easier understanding.
Identify the workflow and resource requirements for a particular process, using a variety of tools such as process simulation software, flowcharting and scale models.
Developing new artistic concepts and creative ideas.
Participate in the various development stages of computer programs for econometric and statistical analysis, such as research, new product development, prototyping, and maintenance.
Gather, process and analyse relevant data and information, properly store and update data and represent figures and data using charts and statistical diagrams.
No competences in this bucket.
The agile project management approach is a methodology for planning, managing and overseeing of ICT resources in order to meet specific goals and using project management ICT tools.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Assembly.
The disciplines and technologies for solving business problems through employing quantitative methods such as data analysis and statistical models.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in C#.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in C++.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in COBOL.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in CoffeeScript.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Common Lisp.
The methodologies and tools used for creating logical and physical structure of databases, such as logical data structures, diagrams, modelling methodologies and entity-relationships.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Erlang.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Groovy.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Haskell.
The methodologies or models for planning, managing and overseeing of ICT resources in order to meet specific goals, such methodologies are Waterfall, Incremental, V-Model, Scrum or Agile and using project management ICT tools.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Java.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in JavaScript.
The lean project management approach is a methodology for planning, managing and overseeing of ICT resources in order to meet specific goals and using project management ICT tools.
The computer language LINQ is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Lisp.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in MATLAB.
The computer program Visual C++ is a suite of software development tools for writing programs, such as compiler, debugger, code editor, code highlights, packaged in a unified user interface. It is developed by the software company Microsoft.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in ML.
The computer language N1QL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Couchbase.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Objective-C.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in OpenEdge Advanced Business Language.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Pascal.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Perl.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in PHP.
The process-based management approach is a methodology for planning, managing and overseeing of ICT resources in order to meet specific goals and using project management ICT tools.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Prolog.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in R.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Ruby.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in SAP R3.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in SAS language.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Scala.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Scratch.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Smalltalk.
The computer language SPARQL is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the international standards organisation World Wide Web Consortium.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Swift.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in TypeScript.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in VBScript.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Visual Basic.
The tools used to transform large amounts of raw data into relevant and helpful business information.
The definition and functioning of computer vision. Computer vision tools to allow computers to extract information from digital images such as photographs or video. Areas of application to solve real-world problems like security, autonomous driving, robotic manufacturing and inspection, digital image classification, medical image processing and diagnosis, and others.
The principles, methods and algorithms of deep learning, a subfield of artificial intelligence and machine learning. Common neural networks like perceptrons, feed-forward, backpropagation, and convolutional and recurrent neural networks.
The application of scientific methods to provide solutions to administrative and management issues of organised systems as industrial, commercial, or governmental processes.
Construct recommendation systems based on large data sets using programming languages or computer tools to create a subclass of information filtering system that seeks to predict the rating or preference a user gives to an item.
Evaluate the implicit mastery of skilled experts in an ICT system to make it explicit for further analysis and usage.
Create models to predict the probability of an outcome.
Create and program application interfaces, their operations, inputs and outputs and underlying types.
Draft a database scheme by following the Relational Database Management System (RDBMS) rules in order to create a logically arranged group of objects such as tables, columns and processes.
Oversee the classification system an organisation uses to organise its data. Assign an owner to each data concept or bulk of concepts and determine the value of each item of data.
Oversee integration of public or internal databases and other data, by using semantic technologies to produce structured semantic output.
Use techniques and algorithms that are able to extract mastery out of data, learn from it and make predictions, to be used for program optimisation, application adaptation, pattern recognition, filtering, search engines and computer vision.
Apply the process of combining systems thinking methodologies with human-centred design in order to solve complex societal challenges in an innovative and sustainable way. This is most often applied in social innovation practices that focus less on designing stand-alone products and services to designing complex service systems, organizations or policies that bring value to the society as a whole.
Establish a positive, long-term relationship between organisations and interested third parties such as suppliers, distributors, shareholders and other stakeholders in order to inform them of the organisation and its objectives.
Identify potential to restructure a company or part of its operations, e.g. by exploiting information technology.
Set up structures and distribution policies to enable or improve information exploitation using appropriate tools to extract, create and expand business mastery.
Reduce the number of variables or features for a dataset in machine learning algorithms through methods such as principal component analysis, matrix factorization, autoencoder methods, and others.