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Dublin Ballsbridge

Regus Dublin Ballsbridge, Alexandra House, Ballsbridge, Dublin, Ireland, D04 C7H2

The modern, marble-fronted Ballsbridge building stands in the commercial centre of Dublin. It is close to the city's banking and financial institutions as well as foreign embassies. The Dublin 4 area covers businesses literally from A to Z and almost any support or service is just a few minutes' walk away. These enterprises range from the micro to multinational, with the sectors covered stretching from traditional professional and financial services to cutting-edge IT and support. Dublin has energy and passion for doing business. New opportunities abound and there is a growing number of outlets, such as business networking groups, to help support growing firms reach their full potential.

Dublin St. Kevin

Regus Dublin Pembroke House, Upper Pembroke Street 28-32, Dublin, ireland, D02 EK84

Pembroke House is home to a thoroughly modern business centre within an impressive, historic Georgian building. The address lies within the commercial district of the capital and means it offers excellent business connections to the diverse enterprises of Dublin. With many financial and IT enterprises already operating successfully, the area around this location puts occupiers at the very heart of business life. This proximity of the centre to other firms opens up numerous networking and business development opportunities often literally on the doorstep. When it comes to selecting advisers and support services there are plenty of options available for any size of organisation. All this comes with excellent transport links and other amenities.

Dublin Airport

Regus Dublin Airport, Block B, The Cresent Building, Dublin, ireland, Northwood

The Crescent Building is located in a prestigious business park just 5 minutes from Dublin airport. With its own dedicated ground floor entrance this striking, crescent-shaped building features floor to ceiling tinted-glass windows on every level. The stylish, business centre is perfectly situated between Dublin city centre and the airport and also has easy access to both the M1 and M50 motorways. A large number of global pharmaceutical, information and telecommunication companies have bases in Dublin, which is the economic heart of Ireland. Hotels, cafes, restaurants and other amenities are nearby.

Dublin Sandyford

Regus Dublin Sandyford, Level 1, The Chase, Dublin, ireland, D18 Y3X2

Our Dublin, The Chase, business centre provides the best possible working environment thanks to its innovative design, quality construction and stunning architecture. The exceptionally high spec, mixed-use location provides a clean, efficient space to work in alongside a number of international blue-chip corporations in the highly sought after Sandyford Industrial Estate. If you are networking or meeting with clients, there are excellent transport links with close connections to the Luas tram network, M50, the airport, N11 and a quality bus link. If you want to conduct business in a more social setting, not only are there on-site dining facilities, but also a host of options a little further afield. And with the famous Leopardstown racecourse on the doorstep, client entertainment couldn’t be easier. With easy accessibility, a wide variety of essential amenities such as banks, supermarkets, hotels and corporate lettings, Sandyford is one of the most popular business locations in Ireland.

Dublin Jury Inn

Dublin - Jury's Inn, Moore Street Plaza, Parnell Street, Dublin 1, ireland

Directions:

From Airport by Car (8 km): Follow the signs for the city centre to the M1 motorway city bound.
Leaving the motorway continue straight onto Drumcondra Road. This road leads into Lower Dorset Street.
Turn left onto Hardwicke Street. Continue straight ahead onto Hardwicke Place. Bear left onto George's Place. Bear right onto Temple Street. Turn right onto Denmark Street. Continue straight ahead onto Gardiner Row.
Turn left onto Parnell Square East. Continue straight ahead onto Cavendish Row.
Bear right onto Parnell Street. Jurys Inn Dublin Parnell Street is on the left.

Connelly Station (1.6 km): Leave the station and cross Matt Talbot Bridge. Turn right onto George's Quay. Continue straight on Burgh Quay and then onto Aston Quay. Turn right onto O'Connell Street and at the end of that street take a left onto Parnell Street. Jurys Inn Dublin Parnell Street is on your left.

Heuston Station (3.2 km): Leave the station and take a left towards the city centre. Follow the quays along the river. Turn left onto O'Connell Street. Continue straight and turn left onto Parnell Street. Jurys are on the left.

Dun Laoghaire Ferry Port (8 km): Leave the station and cross Matt Talbot Bridge. Turn right onto George's Quay. Continue straight on Burgh Quay and then onto Aston Quay. Turn right onto O'Connell Street and at the end of that street take a left onto Parnell Street. Jurys Inn Dublin Parnell Street is on your left.Turn left onto George's Street Upper. Turn right onto Marine Road. Turn left onto Eblana Avenue. Turn left onto Sussex Street. Turn right onto George's Street Lower. Continue straight on  Cumberland Street. Continue straight on Dun Laoighre Road. Continue straight on Longford Place. Continue straight on  Monkstown Crescent. Turn Left onto Carrickbrennan Road. Bear left onto  Monkstown Road. Bear right onto Temple Hill. Continue straight on Temple Road. Continue straight on Frascati Road. Continue straight on Rock Road. Continue straight on Merrion Road. Continue straight on Pembroke Road. Continue straight on  Northumberland Road. Continue straight on Mount Street Lower. Bear right onto Grattan Court East. Bear right onto Grattan Street. Turn left onto Hogan Place. Continue straight on Fenian Street. Bear right onto Sandwith Street Upper. Bear left onto  Pearse Street. Turn right onto Tara Street. Continue straight over Butt Bridge. Continue straight on Beresford Place. Continue straight on  Abbey Street Lower. Bear right onto Beresford Place. Turn Left onto Gardiner Street Lower. Turn left onto Sean MacDermott Street Lower. Turn right onto Cumberland Street. Bear left onto  Britain Place. Bear left onto Parnell Street. Jurys located on the left.

Car Parking: Parking is available only 5 min walk from hotel at Clerys Q-Park Multi Storey Car Park located at Marlborough St. Jurys Inn Hotel Guests can avail of discount rates as follows: evening parking for €4.00 (6pm - midnight) and €10.00 for 24 hour. Ensure to get your ticket validated at the hotel reception and pay for your parking at the QPark Car Park Office located at the pedestrian entrance on Marlborough Street.

Opening times and prices may change at the car park operator’s discretion and as such the information is a guideline only. Please check at the entrance to the car park to obtain exact prices, opening times and closing times. Tel: (01) 8748902 | Web: www.q-park.ie

Subcategories (3)

FastAPI

FastAPI
Dask

Dask
Pandas

Pandas

Explore Our Courses

Python for Autonomous Agents: Tooling, SDKs & Orchestration

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Python is the core language powering the development and orchestration of autonomous AI agents. This course focuses on practical implementation using modern SDKs and frameworks such as LangChain and AutoGen to build, connect, and manage agent workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level backend engineers, platform engineers, and ML engineers who wish to implement and orchestrate autonomous agents using Python tooling and APIs.

By the end of this training, participants will be able to:

  • Set up and configure Python-based environments for agentic systems.
  • Use popular agent SDKs like LangChain and AutoGen to create functional agents.
  • Integrate tools and APIs to extend agent capabilities.
  • Orchestrate multi-agent workflows and communication patterns.
  • Apply best practices for debugging, testing, and maintaining agentic codebases.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on programming exercises and live demos.
  • Practical projects building end-to-end agent workflows.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Agentic AI Engineering with Python — Build Autonomous Agents

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This course teaches practical engineering techniques to design, build, test, and deploy agentic (autonomous) systems using Python. It covers the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, AI developers, and software engineers who wish to build robust, production-ready autonomous agents using Python.

By the end of this training, participants will be able to:

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Format of the Course

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Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Artificial Intelligence with Python (Intermediate Level)

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This instructor-led, live training (online or onsite) is aimed at intermediate-level Python programmers who wish to design, implement, and deploy AI solutions using Python.

By the end of this training, participants will be able to:

  • Implement AI algorithms using Python’s core AI libraries.
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Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
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Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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AWS Cloud9 and Python: A Practical Guide

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This instructor-led, live training in Dublin (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

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Data Analytics with Python in Power BI

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This instructor-led, live training in Dublin (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.

By the end of this training, participants will be able to:

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Python for Data Tasks: Basic & Intermediate with Pandas and Polars

 14 Hours

Python is a versatile programming language widely used for data manipulation, automation, and analytics. Libraries like Pandas and Polars provide powerful, practical tools for working with tabular data at scale.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to apply Python for everyday data analysis, file processing, and process automation using Pandas and Polars.

By the end of this training, participants will be able to:

  • Use Python to read, transform, and write CSV and Excel files.
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Format of the Course

  • Interactive coding demonstrations and short lectures.
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Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Cybersecurity with Python

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at experienced developers who wish to gain a comprehensive understanding of Python programming and its applications in cybersecurity.

By the end of this training, participants will be able to:

  • Use Python programming for defensive cybersecurity.
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Advanced Python: Best Practices and Design Patterns

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This intensive, hands-on course covers advanced Python techniques, engineering best practices, and commonly used design patterns to build maintainable, testable, and high-performance Python applications. It emphasizes modern tooling, typing, concurrency models, architecture patterns, and deployment-ready workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level Python developers who wish to adopt professional practices and patterns for production-grade Python systems.

By the end of this training, participants will be able to:

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  • Use design patterns and architecture principles to structure robust applications.
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  • Build well-tested code with pytest, property-based testing, and CI pipelines.
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Format of the Course

  • Interactive lectures and short demos.
  • Hands-on labs and coding exercises each day.
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Course Customization Options

  • To request a customized training or focus area (data, web, or infra), please contact us to arrange.
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Python Programming Fundamentals using Google Colab

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

By the end of this training, participants will be able to:

  • Understand the basics of Python programming language.
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FARM (FastAPI, React, and MongoDB) Full Stack Development

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This instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

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ROS for Mobile Robots using Python

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By the end of this training, participants will be able to:

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This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.

The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).

The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.

Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.

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This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.

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Machine Learning with Python – 2 Days

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Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

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Python: Automate the Boring Stuff

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This instructor-led, live training in Dublin is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.

By the end of this training, participants will know how to program in Python and apply this new skill for:

  • Automating tasks by writing simple Python programs.
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Advanced Machine Learning with Python

 21 Hours

In this instructor-led, live training in Dublin, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.

By the end of this training, participants will be able to:

  • Implement machine learning algorithms and techniques for solving complex problems.
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  • Use libraries and packages such as NumPy and Theano.
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Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

  • Set up a development environment that includes Python, Pandas, and NumPy.
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  • Perform advanced data wrangling, sorting, and filtering operations.
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Read more...

Machine Learning with Python – 4 Days

 28 Hours

The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

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Python Programming for Finance

 35 Hours

Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

  • Understand the fundamentals of the Python programming language
  • Download, install and maintain the best development tools for creating financial applications in Python
  • Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
  • Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
  • Troubleshoot, integrate, deploy, and optimize a Python application

Audience

  • Developers
  • Analysts
  • Quants

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
Read more...

Introduction to Data Science and AI using Python

 35 Hours

This is a 5 day introduction to Data Science and Artificial Intelligence (AI).

The course is delivered with examples and exercises using Python

Read more...

Applied AI from Scratch in Python

 28 Hours

This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course. 

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Test Automation with Selenium and Python

 14 Hours

Selenium is an open-source framework for automating web application testing across different browsers. With Selenium 4, enhanced WebDriver APIs, native relative locators, and improved grid support are available. Python offers simplicity and strong integration with testing frameworks like Pytest, making it a powerful choice for developing scalable and maintainable test automation suites.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level testers and developers who wish to use Selenium with Python to automate web application testing in real-world environments.

By the end of this training, participants will be able to:

  • Install and configure Selenium with Python in a test environment.
  • Build robust test automation scripts using Selenium WebDriver and Pytest.
  • Apply Page Object Model (POM) for maintainable test frameworks.
  • Run tests across multiple browsers using Selenium Grid.
  • Integrate automated tests with CI/CD pipelines.
  • Troubleshoot common issues and apply best practices for automation stability.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Python for Excel

 14 Hours

In this instructor-led, live training in Dublin (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.

By the end of this training, participants will be able to:

  • Install and configure packages for integrating Python and Excel.
  • Read, write, and manipulate Excel files using Python.
  • Call Python functions from Excel.
Read more...

Python for Matlab Users

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.

By the end of this training, participants will be able to:

  • Install and configure a Python development environment.
  • Understand the differences and similarities between Matlab and Python syntax.
  • Use Python to obtain insights from various datasets.
  • Convert existing Matlab applications to Python.
  • Integrate Matlab and Python applications.
Read more...

Python for Data Analysis

 28 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

By the end of this training, participants will be able to:

  • Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
  • Analyze data from sources such as Excel, CSV, JSON files and databases.
  • Clean data to improve its usefulness before analyzing it.
  • Perform simple statistical analysis.
  • Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
  • Gain valuable insight from data, including trends in performance, problematic areas.
Read more...

Advanced Python - 1 Day

 7 Hours

In this instructor-led, live training, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.
Read more...

Web Scraping with Python

 7 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at developers who wish to use Python to automate the process of crawling many websites to extract data for processing and analysis.

By the end of this training, participants will be able to:

  • Install and configure Python and all relevant packages.
  • Retrieve and parse data stored across many different websites.
  • Understand how websites work and how their HTML is structured.
  • Construct spiders to crawl the web at scale.
  • Use Selenium to crawl AJAX-driven web pages.
Read more...

Scaling Data Analysis with Python and Dask

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

By the end of this training, participants will be able to:

  • Set up the environment to start building big data processing with Dask and Python.
  • Explore the features, libraries, tools, and APIs available in Dask.
  • Understand how Dask accelerates parallel computing in Python.
  • Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
  • Optimize the Dask environment to maintain high performance in handling large datasets.
Read more...

Algorithmic Trading with Python and R

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

By the end of this training, participants will be able to:

  • Employ algorithms to buy and sell securities at specialized increments rapidly.
  • Reduce costs associated with trade using algorithmic trading.
  • Automatically monitor stock prices and place trades.
Read more...

Building Chatbots in Python

 21 Hours

ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions.

In this instructor-led, live training, participants will learn how to build chatbots in Python.

By the end of this training, participants will be able to:

  • Understand the fundamentals of building chatbots
  • Build, test, deploy, and troubleshoot various chatbots using Python

Audience

  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.
Read more...

GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at intermediate-level developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs.

By the end of this training, participants will be able to:

  • Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
  • Create, compile and launch custom CUDA kernels.
  • Manage GPU memory.
  • Convert a CPU based application into a GPU-accelerated application.
Read more...

Developing APIs with Python and FastAPI

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.

By the end of this training, participants will be able to:

  • Set up the necessary development environment to develop APIs with Python and FastAPI.
  • Create APIs quicker and easier using the FastAPI library.
  • Learn how to create data models and schemas based on Pydantic and OpenAPI.
  • Connect APIs to a database using SQLAlchemy.
  • Implement security and authentication in APIs using the FastAPI tools.
  • Build container images and deploy web APIs to a cloud server.
Read more...

Fraud Detection with Python and TensorFlow

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at data scientists who wish to use TensorFlow to analyze potential fraud data.

By the end of this training, participants will be able to:

  • Create a fraud detection model in Python and TensorFlow.
  • Build linear regressions and linear regression models to predict fraud.
  • Develop an end-to-end AI application for analyzing fraud data.
Read more...

Python for Network Engineers

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at network engineers who wish to maintain, manage, and design computer networks with Python.

By the end of this training, participants will be able to:

  • Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
  • Master multi-threading and multiprocessing in network automation.
  • Use GNS3 and Python for network programming.
Read more...

Python for Natural Language Generation (NLG)

 21 Hours

In this instructor-led, live training in Dublin, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.

By the end of this training, participants will be able to:

  • Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting.
  • Select and organize source content, plan sentences, and prepare a system for automatic generation of original content.
  • Understand the NLG pipeline and apply the right techniques at each stage.
  • Understand the architecture of a Natural Language Generation (NLG) system.
  • Implement the most suitable algorithms and models for analysis and ordering.
  • Pull data from publicly available data sources as well as curated databases to use as material for generated text.
  • Replace manual and laborious writing processes with computer-generated, automated content creation.
Read more...

Penetration Testing: Python and Kali Linux

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.

By the end of this training, participants will be able to:

  • Create Python programs to seek network vulnerabilities.
  • Explore and use Kali web shells and shellcode in exploits.
  • Apply various Kali tools for penetration testing.
  • Exploit systems with Python.
Read more...

Backend Development with Python

 35 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at developers who wish to use Python as the server-side language to create a web application. Various techniques and frameworks will be explored to arrive at the most suitable one for a given problem.

By the end of this training, participants will be able to:

  • Install and configure Python packages and frameworks.
  • Set up the appropriate development environment to optimize the coding process.
  • Write the code needed to enable common functionality expected by end users of an application (forms, database queries, calculations, etc.)
  • Select from a number of popular frameworks such as Django and Flask to automate redundant tasks and reduce development time.
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Analyzing Financial Data with Python

 35 Hours

Python is a high-level programming language famous for its clear syntax and code readibility.

In this instructor-led, live training, participants will learn how to use Python for quantitative finance.

By the end of this training, participants will be able to:

  • Understand the fundamentals of Python programming
  • Use Python for financial applications including implementing mathematical techniques, stochastics, and statistics
  • Implement financial algorithms using performance Python

Audience

  • Developers
  • Quantitative analysts

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
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Computer Vision with Python

 14 Hours

Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility.

In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python.

By the end of this training, participants will be able to:

  • Understand the basics of Computer Vision
  • Use Python to implement Computer Vision tasks
  • Build their own face, object, and motion detection systems

Audience

  • Python programmers interested in Computer Vision

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
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Python Security

 14 Hours

This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.

After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.

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Natural Language Processing (NLP) with Python spaCy

 14 Hours

This instructor-led, live training (online or onsite) is aimed at developers and data scientists who wish to use spaCy to process very large volumes of text to find patterns and gain insights.

By the end of this training, participants will be able to:

  • Install and configure spaCy.
  • Understand spaCy's approach to Natural Language Processing (NLP).
  • Extract patterns and obtain business insights from large-scale data sources.
  • Integrate the spaCy library with existing web and legacy applications.
  • Deploy spaCy to live production environments to predict human behavior.
  • Use spaCy to pre-process text for Deep Learning

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
  • To learn more about spaCy, please visit: https://spacy.io/
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Data Analysis with Tableau and Python

 14 Hours

Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

By the end of this training, participants will be able to:

  • Integrate Tableau and Python using TabPy API
  • Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
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Text Summarization with Python

 14 Hours

In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations.

In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text.

By the end of this training, participants will be able to:

  • Use a command-line tool that summarizes text.
  • Design and create Text Summarization code using Python libraries.
  • Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17

Audience

  • Developers
  • Data Scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
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Accelerating Python Pandas Workflows with Modin

 14 Hours

This instructor-led, live training in Dublin (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

By the end of this training, participants will be able to:

  • Set up the necessary environment to start developing Pandas workflows at scale with Modin.
  • Understand the features, architecture, and advantages of Modin.
  • Know the differences between Modin, Dask, and Ray.
  • Perform Pandas operations faster with Modin.
  • Implement the entire Pandas API and functions.
Read more...

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Testimonials (6)

everything was perfect

Florin Vrincianu

Course - Python Programming Fundamentals

The number of users is correct. The trainer delivered the information with enthusiasm.

Alberto Rivas - SEG AUTOMOTIVE SPAIN, S.A.U.

Course - Python Programming - 4 days

Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.

Nazeera Mohamad - Ministry of Science, Technology and Innovation

Course - Introduction to Data Science and AI using Python

Got to know a lot of new thngs.

Roland - Diehl Aviation

Course - Advanced Python - 4 Days

The trainer is a very well-disposed person and has a lot of knowledge of the topic. He was always there to ask our questions and to help out with our doubts

Bruno

Course - Python: Automate the Boring Stuff

Examples/exercices perfectly adapted to our domain

Luc - CS Group

Course - Scaling Data Analysis with Python and Dask

Provisonal Upcoming Courses (Contact Us For More Information)

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