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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

STATISTICAL LEARNING

By Course, Free training, Format of the training, Online training, OPPORTUNITIES: Training, English, Training fee, Other, Duration of training, Up to three months, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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.

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 Format of the training, Online training, OPPORTUNITIES: Training, Course, Free training, English, Training fee, Other, Up to three months, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Course, Free training, Format of the training, Online training, OPPORTUNITIES: Training, English, Training fee, Other, Duration of training, Up to three months, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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.

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 Course, Free training, Format of the training, Online training, OPPORTUNITIES: Training, English, Training fee, Other, Duration of training, Up to three months, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Format of the training, Online training, OPPORTUNITIES: Training, Course, Free training, English, Training fee, Other, Up to three months, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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. 

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

12.09.2023 |

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.

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 Course, Free training, Up to one week, Format of the training, Online training, OPPORTUNITIES: Training, Training fee, Other, English, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Format of the training, Online training, OPPORTUNITIES: Training, Course, Free training, Up to one week, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES, Без категория
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 Course, Free training, Up to one week, Format of the training, Online training, OPPORTUNITIES: Training, Other, English, Training fee, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Opportunities, Online training, OPPORTUNITIES: Training, Course, Free training, Up to one week, Format of the training, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Opportunities, Free training, Up to one week, Format of the training, Online training, OPPORTUNITIES: Training, Course, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 OPPORTUNITIES: Training, Course, Free training, Up to one week, Format of the training, Online training, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Free training, Up to one week, Format of the training, Online training, OPPORTUNITIES: Training, Course, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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

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

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

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

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

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

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

By Course, Free training, Up to one week, Format of the training, Online training, OPPORTUNITIES: Training, English, Training fee, Other, Duration of training, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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 Free training, Up to one week, Format of the training, Online training, OPPORTUNITIES: Training, Other, Up to one month, Training fee, English, Up to three months, Duration of training, Type of training, Up to half a year, MOOC, Language of the training, Country providing the training, OPPORTUNITIES
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 Opportunities, Format of the training, Online training, OPPORTUNITIES: Training, In-person training, English, Training fee, Other, Educational programme, Paid training, Duration of training, Type of training, One year, Language of the training, Country providing the training, OPPORTUNITIES
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 Opportunities, Grant, Bulgaria, Form of the funding, EU Institutional initiative, Other, OPPORTUNITIES: Funding, Country suitable for the funding, Type of funding initiative, OPPORTUNITIES
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, Form of the funding, EU Institutional initiative, Other, OPPORTUNITIES: Funding, Country suitable for the funding, Financial instrument, Type of funding initiative
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 OPPORTUNITIES: Training, Bulgarian, Bulgaria, Free training, Format of the training, Online training, Training fee, Up to three months, Duration of training, Type of training, Programme module, Language of the training, Country providing the training, OPPORTUNITIES
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

FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON

By Free training, Format of the training, Online training, OPPORTUNITIES: Training, English, Training fee, Other, Duration of training, Up to three months, Type of training, MOOC, Language of the training, Country providing the training, OPPORTUNITIES
FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON

22.07.2023 |

Foundations of Data Science: K-means Clustering in Python, delivered on the Coursera platform, is designed to give students an introduction to the core concepts of data science and to prepare them for intermediate and advanced data science courses.

This course serves as a solid introduction to essential mathematics, statistics, and programming competencies crucial for various data analysis endeavors. Through a practical data clustering task, students will delve into these core concepts, simultaneously acquiring vital programming skills essential for proficiency in data science techniques. Additionally, this course can be utilized to fulfill the entry prerequisites for the MSc Data Science program, laying the groundwork for a comprehensive understanding of the field

Details

Target audience

Digital skills for all

Digital technology

Big Data

Software engineering

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

Single opportunity

HOW COMPUTERS WORK

By Format of the training, Online training, OPPORTUNITIES: Training, Free training, Up to one month, English, Training fee, Other, Duration of training, Type of training, Language of the training, MOOC, Country providing the training, OPPORTUNITIES
HOW COMPUTERS WORK

20.07.2023 |

In this course (delivered on the Coursera platform) you will learn some of the fundamental concepts of computer science that can be applied to any software or computer system.

Course Overview: Geared towards individuals who frequently employ computers, smartphones, and the internet, this beginner-friendly course aims to demystify the inner workings of these technologies. It equips you with fundamental computer skills applicable to word processing, e-commerce, internet usage, and website interaction. Ideal for those contemplating a journey into computer science, this course offers a comprehensive understanding of digital essentials.

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

STATISTICAL LEARNING

By Course, Free training, Format of the training, Online training, OPPORTUNITIES: Training, English, Training fee, Other, Duration of training, Up to three months, Type of training, Language of the training, Country providing the training, OPPORTUNITIES
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.

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