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Opportunities

If you are looking for opportunities to improve your digital skills, enhance your career path or support your project, you are in the right place. We will keep you up to date with training, funding and career opportunities available across the country and Europe.

Ready to reskill and upskill?

In the Training section, a catalog of training courses and resources at all levels is ready for you to browse through. Here you can find programs, tools, online learning paths and MOOCs that are accessible to all users.

Various funding opportunities coming from across Europe are presented in the Funding section, such as grants and loans, and other financial instruments at European and national levels.

The Careers section provides guidance for you to learn more about careers, assessment tools and employability trends, as well as different services and platforms offering job repositories across

Internet Freedom Fund

By Bulgaria, Country suitable for the funding, Form of the funding, Grant, International initiative, OPPORTUNITIES, OPPORTUNITIES: Funding, Other, Type of funding initiativeNo Comments
Internet Freedom Fund

17.07.2024 |

About the Internet Freedom Fund

The Internet Freedom Fund is the primary opportunity through which Open Technology Fund supports innovative global internet freedom projects. These projects are focused on technology development and implementation, but can also include applied research, convenings, and digital security projects. See below for more details about each category.

OTF prioritizes projects coming from individuals or organizations who are applying for the first time, identify as under-represented within the field, and address areas that are underfunded.

 

Application Process and Award Information

Applications to the Fund go through a two-stage application process and are accepted on a rolling basis

Awards are between $10,000 and $900,000 for up to 24 months. Ideal applicants seek funding between $50,000 and $200,000 for efforts between 6 and 12 months.

Funding awards are performance-based contracts signed directly with the applicant or applicants. Funding is dispersed upon completion of stated objectives, activities, and deliverables per a schedule outlined in the contract. All payments are made in U.S. dollars and will comply with local laws, regulations, and ethics rules.

Successful applicants are paired with an OTF program manager who will oversee all project monitoring and evaluation for the duration of the contract. Monitoring and evaluation assessments are based on predetermined and agreed-upon metrics, deliverables, and goals as laid out by the applicant in the project proposal.

Funding Categories
Technology Development

OTF supports the development of innovative internet freedom technologies from the prototype phase to deployment phase, in addition to supporting core infrastructure projects that serve the internet freedom and human rights communities.

Applications for this category can include, but are not limited to:

  • Creating new, open-source circumvention technologies
  • Taking an existing open-source internet freedom technology and improving upon its security, usability, and adaptability
  • Developing content redistribution methods to aid in content access behind government firewalls
  • Next-generation tools
  • Improving security standards, quality assurance, and best practices within core infrastructure projects
  • Improving accessibility and usability of existing projects
How to Apply:

Applying for the Internet Freedom Fund is a two-stage application process:

Stage 1: Submit a Concept Note through OTF’s online application system in which you tell us about your project idea through a short form.

Stage 2: Applicants whose Concept Notes are deemed to be highly competitive will be invited to submit a Proposal in which they will expand upon their project idea

The Internet Freedom Fund Advisory Council, comprising subject-matter experts who understand various relevant fields and issues related to internet freedom, will conduct a final review of competitive Proposals.

For additional information, check HERE.

 

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology 

Digital skills

Media literacy

Artificial intelligence

Form of the funding

Country suitable for the funding

Bulgaria

Other

Financial intermediate 

Benefitials 

Individuals

Organizations (for-profit or nonprofit)

Robotics for Good Youth Challenge

By Bulgaria, Country providing the good practice, EU Initiatives, EU institutional good practice initiative, EU Institutional initiative, Funding of the good practice, INSPIRATION: Good practices, INSPIRATION: Initiatives, Other, Public, Type of initiative of the good practiceNo Comments
Robotics for Good Youth Challenge

20.05.2024

The Robotics for Good Youth Challenge is an initiative launched by the UN in the context of growing climate challenges and increasingly frequent and intense natural disasters. Global climate change increases the risks and intensity of disasters such as torrential rains, landslides, flash floods, earthquakes, hurricanes and forest fires. In response to these emergencies, using robots for search and rescue operations is proving particularly effective.

Autonomous robots offer a quick and accurate response to finding survivors, which is crucial when every minute counts. By reducing the exposure of first responders to hazardous situations, these machines make disaster relief safer, more efficient and more affordable. In addition, robots have the advantage of being carbon neutral, which is part of a sustainable approach. They can speed up search and rescue operations, conduct geological mapping, assess damage, remove rubble and deliver medical supplies, among other tasks.

Why is this a good practice?

In this context, the Robotics for Good Youth Challenge invites teams from worldwide to design, build and code robots to address specific challenges related to disaster response for the year 2024-2025. Participants can use platforms such as Arduino, Raspberry Pi, or LEGO Mindstorms. The process includes research, brainstorming, prototyping, and programming. This educational competition aims to promote robotics and programming skills among young people, while raising awareness of the United Nations Sustainable Development Goals (SDGs). Participants acquire technical knowledge in robotics and coding, while developing essential skills for their professional and future lives, such as teamwork, problem solving, project management, critical thinking and information retrieval.

How can I participate in this initiative?

Contest participants can register in person if a national organiser is present in their country or region. In the absence of a physical event, they have the opportunity to individually prepare their project and submit their results as a video for evaluation by a jury. In Luxembourg, this challenge is organised by the Lëtzebuerger Kannerduerf Foundation in Luxembourg. Private and public entities are encouraged to organise national events for this challenge between April 2024 and April 2025, with applications for the organisation to be submitted before 1 June 2024, and participant registrations open until 1 November 2024. Participants, usually between the ages of 12 and 18, register individually or as part of a team. Each team is encouraged to be composed of members with diverse interests and skills for a multidisciplinary approach.

The competition promotes inclusion by making learning robotics and coding accessible to all, regardless of gender, socio-economic status or academic abilities. It also encourages the use of recycled materials and environmentally friendly solutions, with a focus on the development of sustainable robots.

How the Challenge works

After registration and conniassance of the theme chosen for the edition, the challenge takes place in several stages

  1. Mentoring and workshops: Participants benefit from mentoring sessions with robotics and engineering experts. Workshops are organized to teach specific technical skills and guide the teams in the development of their projects.
  2. Presentations and evaluations: Teams present their projects to a jury of technology and sustainability experts. The evaluation criteria shall include innovation, feasibility, social and environmental impact, presentation and teamwork.
  3. Award ceremony: The best teams are rewarded at an awards ceremony. Winners may receive scholarships, funding to further develop their projects, or opportunities for continuous mentoring.
Old edition

In one of the last editions, for example, the theme was ‘Technology for Health and Well-being’, a topic relevant in the current context of the COVID-19 pandemic. Projects featured included robots to help older people stay active at home, automated disinfection systems, and solutions to improve mental health through technology.

Details

Target audience

Digital skills in education

Digital technology

Digital skills

Level

Basic

Intermidiate

Advanced

Funding of the good practice

Public

Type of initiative of the good practice

EU institutional initiative

Country providing the good practice

Bulgaria

Other

Organisation providing the good practice

STATISTICAL LEARNING

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
STATISTICAL LEARNING

14.09.2023 |

This introductory-level course in supervised learning covers regression and classification techniques, including linear and polynomial regression, logistic regression, cross-validation, and more. It also touches on some unsupervised learning methods like principal components and clustering. The course emphasizes practical understanding without heavy math, using R for computing and providing detailed tutorials on its usage. Explore modern data analysis essentials with us.

This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics. We focus on what we consider to be the important elements of modern data analysis. Computing is done in R. There are lectures devoted to R, giving tutorials from the ground up, and progressing with more detailed sessions that implement the techniques in each chapter. We also offer a separate version of the course called Statistical Learning with Python – the chapter lectures are the same, but the lab lectures and computing are done using Python.

The lectures cover all the material in An Introduction to Statistical Learning, with Applications in R by James, Witten, Hastie and Tibshirani, with Applications in R (second addition) by James, Witten, Hastie and Tibshirani (Springer, 2021). The pdf for this book is available for free on the book website.

Prerequisites: Foundational knowledge in statistics, linear algebra, and computing is recommended.

Instructors: Learn from Trevor Hastie, Professor of Statistics at Stanford University, and Robert Tibshirani, Professor in Health Research and Policy and Statistics at Stanford University.

Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

R PROGRAMMING FUNDAMENTALS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
R PROGRAMMING FUNDAMENTALS

13.09.2023 |

This course delves into the fundamentals of R, a popular programming language and software environment extensively utilized by data analysts, statisticians, and data scientists for statistical computing and graphics across the globe. It provides an introductory journey into R, encompassing installation procedures and foundational statistical operations. The course equips you with the skills to handle variables and external datasets, create functions, and offers insights from one of the R language’s co-creators, Robert Gentleman. Explore the world of R and enhance your statistical computing capabilities with this comprehensive course.

This course equips you with core competencies in R, covering data types, variables, vectors, matrices, lists, data frames, data import, logical statements, loops, functions, data plotting, visualization, and basic statistical functions. Prior experience in a scientific or engineering discipline is helpful but not mandatory, making it accessible to learners with basic computer skills. Join us to enhance your proficiency in R and excel in statistical computing and data analysis.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Web development

Software engineering

Big Data

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

COMPUTER SCIENCE 101

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
COMPUTER SCIENCE 101

11.09.2023 |

Computer Science 101 is a stand-alone course that teaches the basic ideas of computer science to an audience with zero previous experience. Computers may look very complicated, but in reality they only work on a few simple circuits. The course demystifies and brings these patterns to life, which is useful for anyone using computers today.

Course participants play and experiment with short pieces of “computer code” to understand the power and limitations of computers. Everything works within the browser, so there is no additional software to download or install. CS101 also provides general information about computers today: what is a computer, what is hardware, what is software, what is the Internet. Anyone who knows how to use a web browser can be successful with this course. No previous computer science experience is required.

Topics

  • The nature of computers and code, what they can and cannot do
  • How computer hardware works: chips, cpu, memory, disk
  • Necessary jargon: bits, bytes, megabytes, gigabytes
  • How software works: what is a program, what is “running”
  • How digital images work
  • Computer code: loops and logic
  • Big ideas: abstraction, logic, bugs
  • How structured data works
  • How the internet works: ip address, routing, ethernet, wi-fi
  • Computer security: viruses, trojans, and passwords, oh my!
  • Analog vs. digital
  • Digital media, images, sounds, video, compression

Instructor

Nick Parlante, Senior Lecturer, Computer Science

Details

Target audience

Digital skills for all

Digital technology

Digital skills

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

MACHINE LEARNING SPECIALIZATION

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
MACHINE LEARNING SPECIALIZATION

12.09.2023 |

The Machine Learning Specialization is a foundational online program created in collaboration between Stanford Online and DeepLearning.AI. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

This Specialization, consisting of 3 courses, is an updated and expanded version of Andrew Ng’s original Machine Learning course. It offers a comprehensive introduction to modern machine learning, covering supervised learning (including multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (including clustering, dimensionality reduction, and recommender systems), and best practices in artificial intelligence and machine learning innovation (such as model evaluation, tuning, and data-centric performance improvement).

This course requires no prior knowledge, making it accessible to beginners. It covers core competencies including multiple linear regression, logistic regression, neural networks, decision trees, clustering, dimensionality reduction, recommender systems, and best practices for evaluating and tuning models, as well as adopting a data-centric approach to enhance performance. Get started on your machine learning journey with this accessible and comprehensive course.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Digital skills

Artificial Intelligence

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

MINING MASSIVE DATA SETS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to three monthsNo Comments
MINING MASSIVE DATA SETS

12.09.2023 |

This course begins by introducing modern distributed file systems and MapReduce, with a focus on what distinguishes effective MapReduce algorithms for handling large datasets. The remainder of the course delves into algorithms for extracting valuable models and insights from these vast datasets. Topics include Google’s PageRank algorithm for assessing web page importance and its various extensions, locality-sensitive hashing for identifying similar items in massive datasets, and efficient dimensionality reduction techniques for large, sparse matrices. The course also explores a range of other large-scale algorithms, as detailed in the syllabus.

The course lasts for 7 weeks. Before taking it, a course in database systems is recommended, as is a basic course on algorithms and data structures. 

Course Syllabus

Week 1:
MapReduce
Link Analysis — PageRank

Week 2:
Locality-Sensitive Hashing — Basics + Applications
Distance Measures
Nearest Neighbors
Frequent Itemsets

Week 3:
Data Stream Mining
Analysis of Large Graphs

Week 4:
Recommender Systems
Dimensionality Reduction

Week 5:
Clustering
Computational Advertising

Week 6:
Support-Vector Machines
Decision Trees
MapReduce Algorithms

Week 7:
More About Link Analysis —  Topic-specific PageRank, Link Spam.
More About Locality-Sensitive Hashing

You can find additional information HERE

Details

Target audience

Digital skills for ICT professionals

Digital technology

Big Data

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

MLXLINK AND MLXCABLES DEBUG TOOLS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one week, Без категорияNo Comments
MLXLINK AND MLXCABLES DEBUG TOOLS

12.09.2023 |

Why should I take this course?

If you’re a regular user of one of our adapter cards or cables, learning how to use their debug tools is crucial to make your work more efficient! These debug tools will change your life for the better!
What I’ll learn?
In this course, you’ll learn about the MLXlink and MLXcables debug tools. These debug tools are used for both basic link troubleshooting and for analyzing the more complex link characteristics.Course topics: 

  • Introduction to the MLXLink and MLXcables debug tools
  • Learn how to check and debug link status and issues related to them
  • Learn how to access the cables, query its IDs and read specific addresses in the EEPROM

After this course, you would understand:

  • the MLXLink and MLXcables features and abilities 
  • How to apply the MLXLink and MLXcables abilities

The audience for this course is:

  • Experienced network engineers/technicians 
  • Network Administrators 
  • •System Administrators

The prerequisites are technical background and understanding of networking hardware.

You can find additional information HERE

Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Microelectronics

Level

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

RDMA ON CONVERGED ETHERNET (ROCE) FROM A TO Z

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
RDMA ON CONVERGED ETHERNET (ROCE) FROM A TO Z

11.09.2023 |

RMDA over Converged Ethernet (RoCE) is an advanced technology for data transmission over Ethernet. If you want to better understand what RoCE is, how it works, and how you can use it in your Mellanox Ethernet network, this course is for you.

This course will explain what RoCE is, how it works, familiarize you with the different types of networks RoCE can run on, and how to configure RoCE for each type of network.

The objectives of this course are: 

  • Understand how RoCE works 
  • Configure RoCE on lossy and lossless networks 

This course is designed for:

  • Experienced network engineers/technicians 
  • Network administrators 
  • System Administrators

The only prerequisite is a good understanding of networking concepts and the OSI model. The duration of the course is 10 hours.

Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Level

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

INFINIBAND ESSENTIALS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one week, Без категорияNo Comments
INFINIBAND ESSENTIALS

08.09.2023 |

Immerse yourself in the realm of high-speed server-interconnect technology with InfiniBand. Its unparalleled speed, minimal latency, and remarkable scalability position it as the leading contender against Ethernet for interconnect protocol preferences.

Step into the introductory course of the InfiniBand universe. Whether you’re aiming to gain deeper insights into InfiniBand’s advantages, applications, architectural layers, management principles, or foundational tools, this course serves as your ideal starting point.

NVIDIA’s free InfiniBand Essentials course is designed to meet the needs of anyone who wishes to be familiar with the basic principles of InfiniBand fabrics, its components, layers and basic management concepts.

The course topics are:

  • InfiniBand Introduction
  • InfiniBand Architecture Layers Overview
  • Fabric Management Concepts
  • InfiniBand Drivers and Utilities

The objectives of the course are to:

  • Describe the main features and elements of InfiniBand fabrics
  • Describe the 5 layers of the InfiniBand layers model
  • Describe the basic management concepts of InfiniBand fabrics
  • Describe the main features of Mellanox OFED
  • Get you familiar with the installation process of Mellanox OFED
  • Get you familiar with OFED basic management tools

 

The basic prerequisites are just a general understanding of networking concepts and principles.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Telecommunications

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

INTRODUCTION TO DOCA FOR DPUS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
INTRODUCTION TO DOCA FOR DPUS

07.09.2023 |

Unlock the realm of possibilities with the DOCA software framework, a flexible toolkit that enables developers to quickly create applications and services based on BlueField’s Data Processing Units (DPUs). By merging DOCA with BlueField DPU, experience a seismic shift in networking, security and storage performance – all within an expansive and open development platform.

Embark on a self-paced exploration through this course, where participants will learn the core principles of DOCA, a catalyst for accelerated data center computing using BlueField DPU. Upon completion, participants will be equipped with foundational knowledge and be ready to use DOCA and DPU to create applications that accelerate data center services.

Course Structure:

  1. Demystification of DOCA
  2. Introduction to BlueField DPUs
  3. BlueField-2 DPU setup
  4. DOCA Development Environment
  5. Applying DPU Acceleration Using DOCA

Main learning objectives:

  • Develop a fundamental understanding of DOCA and DPU that enables you to create applications that accelerate data center services.
  • Visualize the role of DOCA as a platform for accelerated computing in DPU data centers.
  • Immerse yourself in the DOCA framework paradigm and its integral components.
  • Delve into BlueField DPU specifications and capabilities, unleashing the full potential of your DPU infrastructure.
  • Explore sample applications of DOCA in various configurations to understand its real-world implications.
  • Identify and take advantage of DPU-accelerated computing opportunities.

Prerequisites:

  • Familiarity with software architecture and how it relates to and executes on hardware
  • Some working knowledge of data center networking
Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Cybersecurity

Software engineering

Level

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

GETTING STARTED WITH DOCA FLOW

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, Opportunities, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
GETTING STARTED WITH DOCA FLOW

06.09.2023 |

NVIDIA® DOCA™ unlocks the potential of the NVIDIA BlueField® data processing unit (DPU) to offload, accelerate and isolate workloads in data centers. With DOCA, developers can program the data center infrastructure of the future by creating software-defined, cloud-based, DPU-accelerated services with zero-trust protection to meet the growing performance and security demands of today’s data centers.

At the core of this innovation is DOCA Flow, an API paramount to building agile execution pipelines in hardware. The library provides developers with a powerful toolkit for building sets of pipes, each characterized by compliance criteria, monitoring capabilities, and a set of actions. These pipes can be interconnected, allowing packages to seamlessly transition from one pipe to another after executing pipe-defined actions.

Enroll in this course to embark on a journey of DOCA Flow programming personified by developing an “ARP Storm Control” application. This application prevents network outages resulting from broadcast storms by skillfully forming a DOCA Flow pipeline that quells malicious broadcast network activity while preserving the integrity of well-managed traffic.

Key Learning Objectives:

  • Understand the key role that DOCA Flow occupies in the broader DOCA and DPU landscape.
  • Create an offloaded virtual network function (VNF) application.
  • Acquire the skills to accelerate network applications through the DPU’s embedded switch.

Prerequisites:

  • Basic understanding of networking fundamentals to optimize your participation in the course.
Details

Target audience

Digital skills for ICT professionals

Digital technology

Software engineering

Level

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

NVIDIA LICENSE SYSTEM

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, Opportunities, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
NVIDIA LICENSE SYSTEM

06.09.2023 |

Introducing the NVIDIA License System (NLS), a new licensing solution designed to support the expansion of NVIDIA’s range of enterprise software. Designed to outperform NVIDIA’s existing software license server for virtual GPUs (vGPUs), NLS features advanced functionality and offers a number of licensing service use cases – Cloud License Service (CLS) and Delegated License Service (DLS).

During this course, attendees will enter the realm of NLS and gain a comprehensive understanding of the transition from their current licensing system to NLS. The course covers the following key aspects:

  1. How to install, configure and use a Cloud License Service (CLS) and Delegated License Service (DLS) instances.
  2. Migrate your existing NVIDIA Virtual GPU (vGPU) Software License Server to NVIDIA License System (NLS).

The course topics are:

  • Introduction to the NVIDIA License Service
  • Installation and Configuration of the Cloud License Service (CLS)
  • Installation and Configuration of the Delegated License Service  (DLS)

The course objectives are:

  • Оverviewing the NVIDIA License System (NLS)
  • Discussing the benefits of the NVIDIA License System (NLS)
  • Understanding the two instance types: Cloud License Service (CLS) and Delegated License Service (DLS)
  • Explaining the steps required to install and configure each of the two instance types
  • Walkthrough migration steps from the Legacy vGPU License System to the NVIDIA License System (NLS)

The prerequisites are:

  • Basic knowledge of installing and setting up virtual appliances.
  • Familiarity with web/cloud applications.
  • Familiarity with NVIDIA products such as vGPU and NVAIE.
Details

Target audience

Digital skills for ICT professionals

Digital technology

Digital skills

Level

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

GETTING STARTED WITH USD FOR COLLABORATIVE 3D WORKFLOWS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
GETTING STARTED WITH USD FOR COLLABORATIVE 3D WORKFLOWS

05.09.2023 |

The Universal Scene Description Framework (OpenUSD), developed by Pixar, was created to develop synergy between technical and creative pioneers, moving from a linear workflow to a collaborative one.

In this self-paced course, participants will embark on a journey to master scene generation using human-readable ASCII Universal Scene Description (.USDA) files. Upon completion, participants will be prepared to create their own scenes within USD, creating a solid foundation for implementation in Omniverse, Maya, Unity, and Unreal Engine.

This training is conducted in two separate sections:

  1. An introduction to the basic principles of OpenUSD, with no prior programming requirements.
  2. Advanced USD: An introduction to using Python to create USD files, offering an advanced dimension.

The goal of the training is to gain a fundamental understanding of the structure of OpenUSD scenes and gain hands-on experience with OpenUSD Composition Arcs by:

  • Overriding an asset’s base properties with Sublayers
  • Combining multiple assets with OpenUSD References
  • Creating different states of an asset with OpenUSD Variants

Prerequisites:

For introductory content: Basic knowledge of computer graphics concepts such as vertices, grids, and RGB values.

Recommended materials to fulfil prerequisites: Scratchapixel’s Gentle Introduction to Computer Graphics (Programming).

For advanced content: Knowledge of basic Python programming concepts including functions, loops, dictionaries, and arrays.

Recommended materials to fulfil the prerequisite: the official Python 3 textbook.

Tools used:

Details

Website

www.digitalalliance.bg 

Target audience

Digital skills for ICT professionals

Digital technology

Software engineering

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

HOW TO BUILD CUSTOM 3D SCENE MANIPULATOR TOOLS ON NVIDIA OMNIVERSE

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
HOW TO BUILD CUSTOM 3D SCENE MANIPULATOR TOOLS ON NVIDIA OMNIVERSE

05.09.2023 |

Embark on a journey to create advanced tools within the flexible and extensible Omniverse platform. Learn first-hand from the Omniverse developer ecosystem team how to enhance and expand the capabilities of your favorite 3D tools.

During this workshop, you’ll master the art of:

  • Running Omniverse code with confidence.
  • Installing and activating extensions in Omniverse Code.
  • Navigating the extensions panel, view and selecting primitives.
  • Skillfully navigating through the complex USD hierarchy of stages.
  • Crafting a handler for scale management widgets.
  • Solving the problem of a malfunctioning manipulator (slider).
  • Constructing a scaling manipulator designed for single axis scaling.

Prerequisites:

  • Basic knowledge of Python (helpful, but not required).
  • The Python Tutorial.

Tools used:

  • Omniverse Code
  • Visual Studio Code
  • Python
  • Python Extensions

Minimum hardware recommendations:

  • Desktop or laptop computer with Intel i7 Gen 5 or AMD Ryzen.
  • NVIDIA RTX-capable GPU with 16 GB of storage.
Details

Target audience

Digital skills for all

Digital skills for ICT professionals

Digital technology

Artificial Intelligence

Level

Basic

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

EASILY DEVELOP ADVANCED 3D LAYOUT TOOLS ON NVIDIA OMNIVERSE

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EASILY DEVELOP ADVANCED 3D LAYOUT TOOLS ON NVIDIA OMNIVERSE

05.09.2023 |

Plunge into the world of NVIDIA Omniverse, an immersive platform that connects and crafts meticulously precise 3D virtual environments. Discover the effortless process of sculpting your own custom scene layout tools using Omniverse code powered by a short Python snippet. Through this hands-on encounter, you’ll gain unparalleled knowledge of creating interactive 3D worlds.

Uncover the ins and outs of Omniverse in a self-paced course designed to guide you through creating your custom scene layout. With hands-on exercises using Omniverse Code and Python, you’ll be prepared to create immersive virtual landscapes tailored to your vision.

Course Objectives:

  • Launching Omniverse Code with ease.
  • Navigating the extensions panel, view, and select primitives.
  • Moving through the USD hierarchy of stages with finesse.
  • Crafting a specialized scatter function from Prim’s origin.
  • Injecting randomization into the Scatter extension to increase flexibility.
  • Revealing the art of manipulating Prims and customizing the Scatter extension.

Prerequisites:

  • Basic knowledge of Python (an asset, but not required).
  • Recommended preparation materials.
  • Tools:
  • Omniverse Code
  • Visual Studio Code
  • Python
  • Python Extension

Minimum Hardware Recommendations:

  • Desktop or laptop computer with an Intel i7 Gen 5 or AMD Ryzen processor.
  • NVIDIA RTX-capable GPU with 16 GB of capacity.
Details

Target audience

Digital skills for ICT professionals

Digital technology

Artificial Intelligence

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

BUILD BEAUTIFUL, CUSTOM UI FOR 3D TOOLS ON NVIDIA OMNIVERSE

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, Opportunities, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
BUILD BEAUTIFUL, CUSTOM UI FOR 3D TOOLS ON NVIDIA OMNIVERSE

05.09.2023 |

Explore the NVIDIA Omniverse development platform for virtual world builders and creators, tailored for virtual realm virtuosos. Enter the complex realm of UI mastery with an in-depth exploration of the robust omni.ui toolset and framework within the NVIDIA Omniverse Kit. In this self-paced course, hands-on exercises will guide you to create a custom UI that streamlines Omniverse workflows.

During this workshop, participants will gain the skills to:

  • Initiate Omniverse Code with ease.
  • Manage extensions by installing, uninstalling and activating them in Omniverse Code.
  • Navigate the extensions panel, opening views and selecting primitives.
  • Seamlessly navigate USD’s complex hierarchy of stages.
  • Construct a concise form window, complete with stylistic elements.
  • Test the limits of one’s creativity 
  • Accept the challenge to mimic a window design created by the Omniverse UX team.
  • Match form and function to the defined window design.

Once you’ve achieved the culmination, you’ll not only have created a user interface, but you’ll also have gained an in-depth understanding of the Omniverse code.

Prerequisites:

  • Basic knowledge of Python (helpful, but not required).
  • The Python Tutorial.
  • Tools used:
  • Omniverse Code
  • Visual Studio Code
  • Python
  • Python Extensions

Minimum recommended hardware:

  • Desktop or laptop computer equipped with Intel i7 Gen 5 or AMD Ryzen.
  • NVIDIA RTX-capable GPU with 16 GB of capacity.

Similar courses:

“Getting Started with USD for Collaborative 3D Workflows,” a dive path into the Universal Scene Description (USD) framework developed by Pixar designed to foster collaboration between the creative and technical creators of the world.

Details

Website

www.digitalalliance.bg 

Target audience

Digital skills for all

Digital skills for ICT professionals

Digital technology

AR & VR

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

ASSEMBLE A SIMPLE ROBOT IN ISAAC SIM

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ASSEMBLE A SIMPLE ROBOT IN ISAAC SIM

04.09.2023 |

Embark on an interactive journey through the “Assembling a Simple Robot” tutorial as you dive into creating a dynamic mobile robot on two wheels in a live Isaac Sim GPU environment. The immersive tutorial experience lasts approximately 30 minutes.

Within this lab you will master the art of:

  • Establishing a connection between a local streaming client and an Omniverse Isaac Sim server located in the cloud.
  • Introducing a mock USD robot into the live Isaac Sim environment.
  • Inserting the robot body with joint actuators and properties.
  • Enhancing the robot’s capabilities by integrating articulations.
  • Upon completion of the course, you will gain a basic understanding of the Isaac Sim interface and core documentation, which will help you embark on your own robot simulation endeavors.

Prerequisites:

  • Windows or Linux based computer equipped to install Omniverse Launcher and Omniverse applications.
  • Internet bandwidth that can accommodate the Isaac Sim client/server stream (note that performance may vary).

Tools:

Additional Training:

For further exploration, consider enrolling in the Getting Started with USD for Collaborative 3D Workflows course, a self-paced adventure that delves into creating scenes using Universal Scene Description ASCII (.USDA) files that are human-readable.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital skills in education

Digital skills for children

Digital skills for public administration

Digital technology

AR & VR

Robotics

Level

Basic

Middle

Advanced

Expert

Format of the training

Online

In-person

Training fee

Free training

Paid training (cost)

Duration of the training

Type of training

Language of the training

Bulgarian

English

Country providing the training

Bulgaria

Other

Classification

Single opportunity

Database

DEVELOP, CUSTOMIZE, AND PUBLISH IN OMNIVERSE WITH EXTENSIONS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, Opportunities, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
DEVELOP, CUSTOMIZE, AND PUBLISH IN OMNIVERSE WITH EXTENSIONS

04.09.2023 |

Want to customize the Omniverse experience to your preferences? Dive into the realm of customization with Python-coded extensions. These versatile tools give you the ability to change everything from the functionality to the UI of Omniverse. Whether you seek to effortlessly create objects, introduce custom physics for select objects, streamline repetitive operations, or revolutionize object manipulation in the UI, extensions pave the way.

Discover the art of:

  • Creating a button to spontaneously create a cube.
  • Creating custom windows to change the Omniverse user interface.
  • Debugging and publishing extensions.

Once complete, you’ll be able to design and share custom extensions in the thriving Omniverse community.

Basic knowledge of:

  • Python, establishing a solid foundation.
  • Computer graphics basics, but not required.

Recommended tools:

  • Omniverse Code
  • Visual Studio Code
  • Python

Hardware requirements (minimum recommendations):

  • Linux or Windows operating system.
  • (RTX is optional for Omniverse Code.)
  • Intel I7 Gen 7+ or AMD Ryzen+.

For further exploration, check out these relevant trainings:

  • “Getting Started with USD for Collaborative 3D Workflows”
  • “Easily develop advanced 3D layout tools in NVIDIA Omniverse”
  • “Build beautiful, custom UI for 3D tools in NVIDIA Omniverse”
  • “How to Build Custom 3D Scene Manipulator Tools on NVIDIA Omniverse”
Details

Target audience

Digital skills for all

Digital skills for ICT professionals

Digital technology

AR & VR

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

ESSENTIALS OF DEVELOPING OMNIVERSE KIT APPLICATIONS

By Country providing the training, Course, Duration of training, English, Format of the training, Free training, Language of the training, Online training, Opportunities, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to one weekNo Comments
ESSENTIALS OF DEVELOPING OMNIVERSE KIT APPLICATIONS

04.09.2023 |

NVIDIA has created a set of comprehensive reference applications including Create, Drive Sim and Isaac Sim to demonstrate the capabilities of the Omniverse Kit. Everything you see in these reference apps extends to your custom apps. You can leverage existing NVIDIA extensions to speed up your application development, as applications consist of different extensions that collaborate to streamline specific workflows. 

During this course, participants will understand:

  • The essence of the Kit file and the art of its creation.
  • The process of integrating extensions into applications.
  • The role of extension dependencies.
  • How to formulate the application layout.
  • The use of styling techniques.
  • Packaging and distributing an application.

Once completed, you will be able to create and share your own custom applications within the dynamic Omniverse community.

Prerequisites:

  • Basic knowledge of Python.
  • Elementary knowledge of computer graphics may be helpful, but is not required.
  • Developing extensions for Omniverse.
  • GitHub navigation.
  • Command line proficiency.
  • Tools in action:
  • Visual Studio Code
  • Python

Minimum recommended hardware:

  • Desktop or laptop computer with Intel i7 Gen 5 or AMD Ryzen.
  • GPU with NVIDIA RTX support and 16 GB.
  • Connected Learning:
  • “Getting Started with USD for Collaborative 3D Workflows”
  • “Easily develop advanced 3D layout tools in NVIDIA Omniverse”
  • “Building a beautiful, custom user interface for 3D tools in NVIDIA Omniverse”
  • “How to create custom tools for manipulating 3D scenes in NVIDIA Omniverse”

Related Training:

Details

Target audience

Digital skills for ICT professionals

Digital technology

AR & VR

Level

Middle

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

BUILDING VIDEO AI APPLICATIONS AT THE EDGE ON JETSON NANO

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BUILDING VIDEO AI APPLICATIONS AT THE EDGE ON JETSON NANO

31.08.2023 |

From recognizing a cat in the backyard to enhancing the customer shopping experience, the possibilities of AI-based video understanding know no bounds. Enter the NVIDIA Jetson Nano Developer Kit, a user-friendly yet powerful computer capable of running multiple neural networks simultaneously. Positioned as an ideal entry point into the field of intelligent video analysis (IVA) through the NVIDIA DeepStream SDK, this course gets you into the realm of building insightful projects. With JupyterLab notebooks and sample Python applications on your Jetson Nano, you’ll explore the field of deep learning video analytics by discovering deep insights from video streams. The skills you’ll develop will pave the way for creating your own future projects not only on the Nano, but on all Jetson Edge platforms.

Prerequisites:

  • Basic familiarity with the Linux command line.
  • Mastery of basic Python 3 programming concepts including functions, loops, dictionaries, and arrays.
  • Tools in Action:
  • DeepStream
  • TensorRT
  • Jetson Nano
  • Python

Basic Hardware:

  • NVIDIA Jetson Nano Developer Kit or NVIDIA Jetson Nano 2GB Developer Kit.
  • Depending on the model, recommended power supply and jumper configurations.
  • High performance microSD card (minimum 64 GB).
  • USB webcam (for final use on the notebook).

Additional requirements:

  • For the Jetson Nano 2GB developer kit, USB-C 5.1V 3A power supply from the list of supported components
  • High performance microSD card: 64 GB minimum recommended (we have tested and recommend this one)
  • USB data cable: Micro-B to Type-A with DATA function enabled (we’ve tested and recommend this one)
  • USB Webcam (used only in the end notebook), such as Logitech C270 USB Webcam

Additional computer and network requirements:

  • A computer with an internet connection and the ability to flash your microSD card if you are setting up the Jetson Nano for the first time
  • Available USBA port on your computer (you may need an adapter if you only have USBC ports)
  • Administrative rights and the ability to install compatible media player software (we tested and recommend this one)
  • Internet connection for your Jetson Nano

Connected Learning:

There is a certificate upon the completion of the course.

Details

Target audience

Digital skills for ICT workers

Digital technology

Artificial Intelligence

Level

Middle

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

DISASTER RISK MONITORING USING SATELLITE IMAGERY

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DISASTER RISK MONITORING USING SATELLITE IMAGERY

28.08.2023 |

Embark on transformative learning as you gain experience constructing and implementing a deep learning model to automate flood identification through satellite imagery. This innovative workflow has the potential to revolutionize natural disaster management by reducing costs, improving operational efficiency, and significantly increasing overall effectiveness.

Course Objectives:

  • Construct a machine learning workflow tailored to address challenges in disaster management solutions.
  • Use hardware-accelerated tools to process extensive satellite imagery datasets.
  • Apply transfer learning strategies to economically develop advanced deep learning segmentation models.
  • Deploy deep learning models to enable near real-time analysis.
  • Leverage the skills of deep learning-based models to rapidly detect and respond to floods.

Prerequisites:

  • Proficiency in the Python programming language 3.
  • Basic understanding of machine learning and deep learning principles (with emphasis on different CNN variants) and their application in pipelines.
  • Curiosity to explore advanced methods for manipulating satellite imagery.

Tools used:

  • NVIDIA DALI
  • NVIDIA TAO Toolkit
  • NVIDIA TensorRT
  • NVIDIA Triton Inference Server.

Relevant training:

“Deploying an Inference Model at Production Scale”: a self-paced course that focuses on Triton for deploying deep learning models built in different frameworks.

For additional training through the NVIDIA Deep Learning Institute, visit www.nvidia.com/dli

The course was developed in collaboration with UNOSAT, the United Nations Satellite Centre.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Digital skills

Software development

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

GENERATIVE AI EXPLAINED

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GENERATIVE AI EXPLAINED

26.08.2023 |

Generative Artificial Intelligence, a rapidly growing field of technology, involves the creation of new content that is based on a variety of inputs. Recently, it has exploited the potential of neural networks to recognize patterns and structures in existing data, leading to the generation of new content. Start this course to dive into generative artificial intelligence by uncovering its concepts, applications, and the range of challenges and opportunities it provides.

The goal of the course is to learn the following skills:

  • Define generative artificial intelligence and unravel how it works.
  • Explore various applications of generative AI.
  • Navigate the landscape of challenges and opportunities in the field of generative AI.

Prerequisites:

  • Basic understanding of machine learning and deep learning concepts.

Related learning:

  • For additional training through the NVIDIA Deep Learning Institute: www.nvidia.com/dli 
Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Artificial Intelligence

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

AN EVEN EASIER INTRODUCTION TO CUDA

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AN EVEN EASIER INTRODUCTION TO CUDA

25.08.2023 |

Accompanying Mark Harris’s renowned blog post, “An Even Easier Introduction to CUDA,” this notebook guides you through the fundamentals of crafting CUDA kernels for NVIDIA GPUs in a massively parallel manner. By completing this notebook, you’ll gain the ability to:

– Launch CUDA kernels massively in parallel on NVIDIA GPUs.

– Organize parallel thread execution for extensive dataset sizes.

– Manage memory interchange between the CPU and GPU.

– Profile your CUDA code for performance enhancements.

 

Upon finishing, you’ll be well-versed in launching massively parallel CUDA kernels for processing data on NVIDIA GPUs.

Prerequisites:

While no novel coding is required, a familiarity with the following will enhance your comprehension of the material:

– Writing, compiling, and running C or C++ code.

Recommended resources for prerequisites:

– The interactive tutorial at learn-c.org.

Tools utilized:

– CUDA C++

– nvcc

– nvprof

Related Training:

– “Fundamentals of Accelerated Computing with CUDA C/C++“: A self-paced course tailored to novice CUDA C++ programmers.

– “Fundamentals of Accelerated Computing with CUDA Python“: A self-paced course designed for those new to CUDA Python programming.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Software engineering

Web development

Level

Basic

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

DIGITAL FINGERPRINTING WITH MORPHEUS

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DIGITAL FINGERPRINTING WITH MORPHEUS

22.08.2023 |

In this short course, you’ll enter the practical realm by honing your skills to create and implement NVIDIA’s AI-enabled digital fingerprinting workflow. The innovative workflow not only achieves 100-percent data visibility, but also significantly reduces the time it takes to detect potential threats. In addition, cybersecurity experts from various institutions will provide insights on using NVIDIA’s AI framework and tools to architect robust cybersecurity solutions.

Tools:

NVIDIA Morpheus™ AI Framework

NVIDIA Triton™ Inference Server

Course Prerequisites:

Although this course is open to all, familiarity with defensive cybersecurity concepts and proficiency with the Linux command line would be beneficial.

Related Training Offerings:

– “Building Artificial Intelligence-Based Cybersecurity Pipelines

– “Deploying an inference model at production scale

– “Accelerating end-to-end data science workflows

Details

Target audience

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Digital skills

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

FUTURELEARN – THE FUTURE IS NOW!

By Country providing the training, Duration of training, English, Format of the training, Free training, Language of the training, MOOC, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Other, Training fee, Type of training, Up to half a year, Up to one month, Up to one week, Up to three monthsNo Comments
FUTURELEARN - THE FUTURE IS NOW!

12.08.2023 |

In online learning, like Coursera, there is a platform called FutureLearn that helps you learn new things on the internet. Think of it as a friendly online school where you can find all sorts of classes to study. Whether it’s learning computer skills or delving deeper into other interesting subjects, FutureLearn has you covered. This is especially handy if you’re thinking of working in the European digital job market, where these technical skills are crucial.

What sets FutureLearn apart is its new approach. It’s like a stepping stone that connects you to the digital jobs of the future. The courses are designed to help you learn in an easy to understand way so you don’t have to worry about complicated jargon. Like Coursera, FutureLearn gives you the ability to learn at your own pace and on your own schedule. So whether you’re pursuing a new career or just want to explore your interests, FutureLearn offers an easy and affordable way to do it.

In Europe, where digital skills are becoming increasingly important, FutureLearn is stepping into the role of a valuable tool. It’s not just about learning, it’s about preparing for the digital labour market. With its user-friendly courses, FutureLearn helps you build the skills employers are looking for. It bridges the gap between curiosity and the demands of the world of work, making sure you’re well prepared for the exciting opportunities the digital environment offers.

Details

Target audience

Digital skills for all

Digital technology

Digital skills

Level

Basic

Middle

Advanced

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Database

COMPUTER SCIENCE – THE PATH TO NEW AND PROMISING CAREER OPPORTUNITIES

By Country providing the training, Duration of training, Educational programme, English, Format of the training, In-person training, Language of the training, One year, Online training, OPPORTUNITIES, Opportunities, OPPORTUNITIES: Training, Other, Paid training, Training fee, Type of trainingNo Comments
COMPUTER SCIENCE – THE PATH TO NEW AND PROMISING CAREER OPPORTUNITIES

12.08.2023 |

Computer science is one of the fastest growing fields in recent decades. They include the understanding of hardware and software and their use for information processing, as well as the study of algorithms, the use and processing of databases, the design and modelling of computer and network systems, and the creation of artificial intelligence. The scope of the computing field extends from small processor components, to programming languages, computer simulations, visuals and graphics, the connectivity of devices and objects on a global internet network, to cloud computing and virtual reality.

What is taught?

Computer science is a discipline with many overlapping subjects such as programming, mathematics, information technology (IT), logic, engineering. At its core, software development serves to solve complex problems in heterogeneous fields such as electronics, physics, biology, chemistry, finance, psychology, etc. In information technology, the emphasis falls on information transfer and storage, while software engineering combines programming with the use of engineering techniques and skills. Along with some of the most used programming languages – C#, Java, JavaScript, Python, HTML, CSS, Oracle, students also have the option to study subjects such as Cyber Security, Open Source Software Development, Programming for Virtual Reality and Artificial Intelligence, Web Programming. Typically in the first year of study, the programme includes compulsory modules, while as students progress into the upper years, they are offered more flexibility to choose their major or specialisation in the field, with internships often compulsory.

Job opportunities

As one of the most dynamically developing industries, IT is constantly providing new and promising career opportunities. Graduates find careers as software and hardware engineers, software and application developers, software architects, IT project managers, data analysts, computer game developers, and IT entrepreneurs.

Programmes and specialisations in computer science:

  • Information Systems
  • Business Informatics
  • Computer Security
  • Computer and business systems modelling
  • Artificial Intelligence
  • Computer Game Design and Development
  • Cybersecurity and ethical hacking
  • Mathematics and Computer Science
  • Information Technology and Software Engineering
  • Embedded Systems Design and Programming (MA)

Integral also offers a Career Navigator course, MyUniChoices test and IELTS preparation.

Details

Website

www.digitalalliance.bg 

Target audience

Digital skills in education

Digital technology

Artificial Intelligence

Format of the training

Online

In-person

Training fee

Paid training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

HOW TO GET FUNDING UNDER THE DIGITAL EUROPE PROGRAMME

By Bulgaria, Country suitable for the funding, EU Institutional initiative, Form of the funding, Grant, OPPORTUNITIES, Opportunities, OPPORTUNITIES: Funding, Other, Type of funding initiativeNo Comments
HOW TO GET FUNDING UNDER THE DIGITAL EUROPE PROGRAMME

08.08.2023 |

The funding and tender opportunities web page gives you an overview of the calls for proposals (‘calls’) that are forthcoming or already open.  Each call has its own call document, related to a particular topic. It gives more precise information on some of the issues that the European Commission would like you to address in the proposal.

The funding and tender opportunities web page hosts the services for managing your proposals and projects throughout their lifecycle.

The application process

Submit your proposal

If you wish to respond to a call, you must submit a proposal before 17:00 Brussels time on the day of the indicated call deadline.  Please note that this deadline and specific time are strict and must be respected. The European Commission strongly advises to submit your proposal in good time and not to wait until the last moment.

All proposals need to be submitted online.

Find your partners

If you need help to identify a potential partner with particular competences, facilities or experience, use the partner search options.

Evaluation 

Once the deadline has passed, all proposals are evaluated against the criteria published in the Work Programme, resulting in a list of proposals in priority order. Independent experts specialized in the relevant fields may be involved in the evaluation. 

Grant agreement

When the evaluation is over, applicants are informed on the outcome.  

The European Commission will draw up a grant agreement with each of the successful participants within the limits of the allocated budget. The grant agreement describes the activities to be undertaken, in line with the objectives of the call, the project’s duration, budget, rates and costs, as well as the European Commission’s contribution, the rights and obligations and other specificities linked to the topic covering the specific grant agreement. 

The time frame for signing the grant agreements is up to 9 months from the closure of the call.

Details

Target audience

Digital skills for all

Digital technology 

Digital skills

Form of the funding

Country suitable for the funding

Bulgaria

Other

Financial intermediate 

BOOSTING DIGITAL SKILLS OF YOUNG PUPILS, IN PARTICULAR GIRLS

By Bulgaria, Country suitable for the funding, EU Institutional initiative, Financial instrument, Form of the funding, OPPORTUNITIES: Funding, Other, Type of funding initiativeNo Comments
BOOSTING DIGITAL SKILLS OF YOUNG PUPILS, IN PARTICULAR GIRLS

04.08.2023 |

This Digital Europe project aims to increase collaboration between primary, secondary and vocational schools and higher education and research, and to increase the number of students enrolled in digital learning in order to close the gender gap in digital skills.

The means to achieve these results will include running summer schools, organising specialised information and careers days, and conducting dissemination and outreach activities, including events such as EU Coding Week.

Objective:

Students in digital and ICT disciplines represent a minority, in 2021 they were 4.5% of total graduates. There is also a severe gender balance issue, with only 19% of ICT specialists and one in three science, technology, engineering and/or mathematics (STEM) graduates being women.

Part of the commitments will be to fund summer schools for high school students in digital fields, career days for people interested in digital technologies, with a view to promoting more gender diversity and encouraging exchanges between higher education institutions and primary and secondary schools on digital topics. In addition, a special role should be given to the role of girls and women in the digital field, with a focus on debunking existing stereotypes and addressing the lack of confidence.

In order to fill the significant shortage of sector specialists using advanced digital technologies and ICT specialists, it is necessary to increase the pool of pupils who would be ultimately interested to study STEM and ICT, with a special focus on girls and women who are vastly underrepresented in the digital field. This action will have as a goal the inclusion of dedicated activities to encourage girls and women to take part in digital studies..

For example, the actions will finance summer schools for high-school students in digital areas, career days for people interested in digital, with a view to encourage more gender diversity and promote exchanges between higher education institutions and primary and secondary schools on digital topics.

Details

Website

www.digitalalliance.bg 

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital skills in education

Digital skills for children

Digital skills for public administration

Digital technology 

Digital skills

Form of the funding

Country suitable for the funding

Bulgaria

Other

Financial intermediate 

Benefitials 

Universities

Business

Schools

Summer schools

Requirements

FREE JAVA JUMPSTART AT CODE ACADEMY

By Bulgaria, Bulgarian, Country providing the training, Duration of training, Format of the training, Free training, Language of the training, Online training, OPPORTUNITIES, OPPORTUNITIES: Training, Programme module, Training fee, Type of training, Up to three monthsNo Comments
FREE JAVA JUMPSTART AT CODE ACADEMY

08.03.2023 |

 

If you are interested in professional development in the IT sector, Code Academy offers a mentoring program from 0 to an IT career covering 3 modules:

Java Jumpstart, the first course is introductory and lasts 6 weeks, with which you will find out if programming is your calling. It is completely free.

Basic Unlock Java is an 8-week in-depth study of the Java language, building on the solid foundation from Jumpstart.

Basic Java Web Back-end, 6 months where the main focus is on writing projects, learning the big Java Spring BOOT framework and additional technologies required to start your dream career as a Java developer.

The second and the third course are at reduced prices until September 15th. After completing the third module of the program, there is an opportunity to contact companies looking for IT personnel.

Details

Website

www.codeacademy.bg

Target audience

Digital skills for all

Digital technology

Web development

Software engineering

Level

Basic

Middle

Format of the training

Online

Training fee

Free training

Paid training (second module – 580 lv, third module – 2500 lv)

Duration of the training

Type of training

Language of the training

Bulgarian

Country providing the training

Bulgaria

Classification

Single opportunity