Sheraton Riyadh Hotel & Towers

Olaya Junction of King Fahad and King Abdullah Road, Riyadh, Saudi Arabia, 11623

King Khaled International Airport (RUH) Airport Phone: +966 9200 20090 Hotel direction: 21.1 miles N This hotel does not provide shuttle service. Estimated taxi fare: 150 SAR (one way) Visit RUH airport website Driving directions Continue to Airport Road/Route 539, Head southeast, Continue straight, Keep rightContinue on Route 539 to Northern Ring Rd/Route 40/Route 80M. Exit from Route 539, Merge onto Airport Road/Route 539, Take the exit toward Route 53, Continue onto Route 539, Exit onto Northern Ring Rd/Route 40/Route 80MContinue on Northern Ring Rd/Route 40/Route 80M. Take King Fahd Rd/Route 65 to No. 108, Merge onto Northern Ring Rd/Route 40/Route 80M, Slight right onto the ramp to King Fahd Rd/Route 65, Keep left at the fork and merge onto King Fahd Rd/Route 65, Exit onto King Fahd Branch Rd, Sharp left toward King Abdullah Branch Rd, Turn right at the 1st cross street toward King Abdullah Branch Rd, Merge onto King Abdullah Branch Rd, Turn right onto Wadi Al Batin, Turn right onto No. 108, Destination will be on the right, Sheraton Riyadh Hotel & Towers.

Riyadh Marriot Hotel

King Saud Road, Al Wazarat Street, Riyadh, Saudi Arabia, 11464

Those hosting events will be delighted with our 39,858 square feet of venue space and exquisite catering. If you'd like to explore, Kingdom Centre Tower, King Abdulaziz Historical Center and the National Museum of Saudi Arabia are all within reach. Enjoy a memorable getaway at Riyadh Marriott Hotel. Directions: From King Khalid International Airport, exit from airport onto the main highway towards Eastern Ring Road. Take exit onto Makkah Al Mukarramah Road. Turn slightly right onto the Al Ma’ather Street and take the first left to stay on Al Ma’ather Street seeing the Riyadh Marriott Hotel on your right side. To reach on time from airport you can follow instructions: Airport shuttle service, reservation required, fee: 200 SAR (one way) Shuttle Phone: +966 11 4779300 Ext 7171 Alternate transportation: Abu Diyab Rent-A-Car; fee: 200 SAR (one way) ;reservation required Estimated taxi fare: 110 SAR (one way) In meeting rooms, facilities like AV equipment,Film projector, LCD projector, Microphone, Overhead projector, PA system portable, Rear screen projection, Stage: portable, TV, TV production service provider, Video camera, Walkie talkie radios can be provided.

Regus

Hugayat Tower, 28th floor, Riyadh, Saudi Arabia

The Kingdom Center is located in Riyadh city, the capital of Saudi Arabia, and is the 25th highest building in the world - voted "Skyscraper of the Year 2002". A quality complex, consisting of a 77 Floor Tower and East and West Podiums. The business centre is located on the 28th floor. The building also contains a highly prestigious shopping Mall, a 5-star Four Seasons Hotel with a modern celebration hall and conference centre, and luxurious residential apartments complete with fitness club facilities and a variety of the finest international restaurants. Impressive contemporary meeting rooms in Riyadh. Customise a space and adapt it for your needs – every one is equipped with the tools you need for a successful pitch or presentation. Fast internet, whiteboards and flip charts are all ready for you. Add videoconferencing for remote meetings, projectors for more visual impact, and even book catering for your guests in advance.

Subcategories (11)

Django

Django
Flask

Flask
PyQt

PyQt
Kivy

Kivy
Web2py

Web2py
PyGame

PyGame
SciPy

SciPy
FastAPI

FastAPI
Dask

Dask
Pandas

Pandas
NLTK

NLTK

Explore Our Courses

AWS Cloud9 and Python: A Practical Guide

 14 Hours
This instructor-led, live training in Riyadh (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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  • Understand the AWS Cloud9 IDE interface and features.
  • Write, debug, and deploy Python applications in AWS Cloud9.
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Python Programming Fundamentals using Google Colab

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This instructor-led, live training in Riyadh (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:
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  • Implement Python code in Google Colab environment.
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Data Analytics with Python in Power BI

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This instructor-led, live training in Riyadh (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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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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Python Programming - 4 days

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Advanced Python - 4 Days

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Python Programming Fundamentals

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Python in Data Science

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Machine Learning with Python – 2 Days

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Python: Automate the Boring Stuff

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Advanced Machine Learning with Python

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Data Analysis with Python, Pandas and Numpy

 14 Hours
This instructor-led, live training in Riyadh (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:
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Unit Testing with Python

 21 Hours
In this instructor-led, live training in Riyadh, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.  By the end of this training, participants will be able to:
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  • Use the fixture model to write small tests.
  • Scale tests up to complex functional testing for applications, packages, and libraries.
  • Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
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Machine Learning with Python – 4 Days

 28 Hours
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Natural Language Processing (NLP) with Python

 28 Hours
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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:
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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.
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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 
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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
In this instructor-led, live training in Riyadh participants combine the power of Python with Selenium to automate the testing of a sample web application. By combining theory with practice in a live lab environment, participants will gain the knowledge and practice needed to automate their own web testing projects using Python and Selenium.
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Python for Excel

 14 Hours
In this instructor-led, live training in Riyadh (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:
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  • Call Python functions from Excel.
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BDD with Python and Behave

 7 Hours
This instructor-led, live training in Riyadh begins with a discussion of BDD and how the Behave framework can be used to carry out BDD testing for web applications. Participants are given ample opportunity to interact with the instructor and peers while implementing the concepts and tactics learned in this hands-on, practice-based lab environment. By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
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Python for Matlab Users

 14 Hours
This instructor-led, live training in Riyadh (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:
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  • 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.
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Python for Data Analysis

 28 Hours
This instructor-led, live training in Riyadh (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.
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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.
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Build REST APIs with Python and Flask

 14 Hours
This instructor-led, live training in Riyadh (online or onsite) is aimed at backend developers who wish to build REST APIs with Python and Flask. By the end of this training, participants will be able to:
  • Implement a REST API to allow a Flask web application to read and write to a database in the backend.
  • Develop advanced authentication features like refresh tokens.
  • Build a reusable backend for future Python projects.
  • Simplify storage of data with SQLAlchemy.
  • Deploy REST APIs onto a cloud based server.
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Web Scraping with Python

 7 Hours
This instructor-led, live training in Riyadh (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.
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  • Use Selenium to crawl AJAX-driven web pages.
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Scaling Data Analysis with Python and Dask

 14 Hours
This instructor-led, live training in Riyadh (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.
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Algorithmic Trading with Python and R

 14 Hours
This instructor-led, live training in Riyadh (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.
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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.
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GPU Programming with CUDA and Python

 14 Hours
This instructor-led, live training in Riyadh (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.
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Data Mining with Python

 14 Hours
This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to implement more advanced data analytics techniques for data mining using Python. By the end of this training, participants will be able to:
  • Understand important areas of data mining, including association rule mining, text sentiment analysis, automatic text summarization, and data anomaly detection.
  • Compare and implement various strategies for solving real-world data mining problems.
  • Understand and interpret the results. 
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.
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Monax: Build a Smart Contract Application

 7 Hours
In this instructor-led, live training in Riyadh, participants will learn how to build a smart contract blockchain application with Monax. By the end of this training, participants will be able to:
  • Develop and deploy a distributed application using blockchain and smart contract technology.
  • Understand design and functionality of 'smart contracts' and how to create one.
  • Implement best practices for secure blockchain application development.
  • Leverage Monax tools to streamline distributed application development.
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Developing APIs with Python and FastAPI

 14 Hours
This instructor-led, live training in Riyadh (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.
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Web Application Development with Flask

 14 Hours
This practical course is addressed to Python developers that want to create and maintain their first web applications. It is also addressed to people who are already familiar with other web frameworks such as Django or Web2py, and want to learn how using a microframework (i.e. a framework which glues together third-party libraries instead of providing a self-contained universal solution) changes the process. A significant part of the course is devoted not to Flask itself (it's tiny), but to third-party libraries and tools often used in Flask projects.
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Advanced Flask

 14 Hours
This instructor-led, live training in Riyadh (online or onsite) is aimed at developers who wish to use the advanced features of Flask to build scalable web applications on top of MongoDB. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing web applications with Flask.
  • Get to know the advanced concepts and techniques for real-world Flask projects.
  • Build a RESTful API server on top of MongoDB.
  • Learn how to containerize, test, and deploy microservices with Flask, Docker, and Amazon EC2.
  • Gain some insights on the advanced Flask integrations for scaling web applications.
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Fraud Detection with Python and TensorFlow

 14 Hours
This instructor-led, live training in Riyadh (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.
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Python for Network Engineers

 14 Hours
This instructor-led, live training in Riyadh (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.
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Python for Natural Language Generation (NLG)

 21 Hours
In this instructor-led, live training in Riyadh, 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.
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Game Development with PyGame

 7 Hours
This instructor-led, live training in Riyadh (online or onsite) is aimed at developers who wish to use PyGame to create and build games using Python programming. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start creating game applications with PyGame and Python.
  • Learn how to create interactive PyGame applications integrated with animations and multimedia features.
  • Run and test game programs with PyGame test suite and convert them into executable files.
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Penetration Testing: Python and Kali Linux

 14 Hours
This instructor-led, live training in Riyadh (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.
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Backend Development with Python

 35 Hours
This instructor-led, live training in Riyadh (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 Fundamentals plus

 14 Hours
This course is an extension of the 1 day introduction to Python - Python and Data Visualization held on February 11th. The 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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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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Scientific Computing with Python SciPy

 7 Hours
This instructor-led, live training in Riyadh (online or onsite) is aimed at developers who wish to use SciPy to create advanced scientific computing functions with Python. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start creating scientific computing functions.
  • Get the full benefit of SciPy features by performing practical examples of complex operations.
  • Implement and optimize mathematical algorithms and functions to solve scientific problems.
  • Design data structures and interpolation methods for visualization, processing, and analysis.
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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 Riyadh (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.
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Testimonials (24)

The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)

Matthieu - CS Group

Course - Scaling Data Analysis with Python and Dask

Very interactive with various examples, with a good progression in complexity between the start and the end of the training.

Jenny - Andheo

Course - GPU Programming with CUDA and Python

I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.

Jenna - TCMT

Course - Machine Learning with Python – 2 Days

Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)

Monika - Procter & Gamble Polska Sp. z o.o.

Course - Developing APIs with Python and FastAPI

It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course

Bozena Stansfield - New College Durham

Course - Build REST APIs with Python and Flask

Exercises were nice

Vyshnavi Iyappan - Red Embedded Consulting Sp. z o.o.

Course - Unit Testing with Python

The manner in which the lessons were organized was terrific. Easy to understand, the trainer had plenty of patience and helped everyone

Ioana Mohanu - Accenture Industrial SS

Course - Python Fundamentals plus

The explaination

Wei Yang Teo - Ministry of Defence, Singapore

Course - Machine Learning with Python – 4 Days

Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.

Charles Lim - Ministry of Defence, Singapore

Course - Python for Data Analysis

Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.

Daniele Tagliaferro - Creditsafe Italia Srl

Course - Web Scraping with Python

The trainer has deep knowledge about the subject and was able to answer all of our questions.

Lefteris Spatharakis - Sioufas & Associates Law Firm

Course - Django CMS for Developers

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF

Course - Computer Vision with Python

Trainer was accommodative. And actually quite encouraging for me to take up the course.

Grace Goh - DBS Bank Ltd

Course - Python in Data Science

Subject presentation knowledge timing

Aly Saleh - FAB banak Egypt

Course - Introduction to Data Science and AI (using Python)

Trainer develops training based on participant's pace

Farris Chua

Course - Data Analysis in Python using Pandas and Numpy

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Course - Applied AI from Scratch in Python

The trainer was great! If he would have more time I think we could have learned a lot more.

Zarim Jei Serrano - Cloudstaff Philippines, Inc.

Course - Python Programming Fundamentals

1:1 very intensive but learnt a lot.

Karen Dyke - BT

Course - Python: Automate the Boring Stuff

The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.

Fahad Malalla - Tatweer Petroleum

Course - Advanced Python

I mostly enjoyed everything.

Thukten Dendup - Bhutan Telecom

Course - Web Development with Django

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall

Course - Python for Advanced Machine Learning

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

As I was the only participant the training could be adapted to my needs.

Kevin THIERRY

Course - Web Development with Web2Py

I preferred the exercise and learning about the nooks and crannies of Python.

Connor Brierley-Green

Course - Python Programming

Upcoming Courses

Python for Excel

2025-06-16 09:30
14 hours
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Text Summarization with Python

2025-06-30 09:30
14 hours
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Python in Data Science

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Python for Natural Language Generation (NLG)

2025-07-28 09:30
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